human genome wide crispr cas9 library Search Results


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Addgene inc lentiviral vector lenticrispr v2
(A) Ter119 negative cells and Ter119 positive erythroid cells were purified from wild-type mouse bone marrow cells. G4 levels were tested by flow cytometry using the BG4 antibody that specifically recognizes G4. Quantification is on the right. (B) Bone marrow lineage-negative cells were cultured in Epo medium for 2 days. G4 levels were tested on different days using flow cytometry by the BG4 antibody. Quantification is on the right. (C) CD34+ human HSPCs were cultured in Epo medium for 21 days. The levels of G4 were measured by flow cytometry as in B at the indicated time. Cells at day 7, 14, and 21 represent proerythroblasts, polychromatic to orthochromatic erythroblasts, and orthochromatic to mature red blood cells, respectively. (D) Flow cytometric assays of G4 levels in the indicated bone marrow lineage cells purified from wild-type mice. (E) Quantification of D. (F) Gating strategy of various erythroblasts. Populations I to VI represent proerythroblasts, basophilic erythroblasts, polychromatic erythroblasts, orthochromatic erythroblasts, late orthochromatic to reticulocytes, and mature red blood cells, respectively. (G-H) Flow cytometric assay of G4 level in bone marrow erythroid populations I (G) and V (H) from the indicated mice. Quantification is on the right. (I) Bone marrow lineage negative cells from the indicated mice were cultured in Epo medium for 2 days. G4 levels on different days were measured by flow cytometry using BG4 antibody. Quantification is below the histogram. (J) CD34+ cells were transduced with <t>lentiviral</t> vectors expressing indicated sgRNAs and <t>Cas9.</t> Cells were then harvested for Western blotting of the indicated proteins at day 9 in culture. (K) Quantitative analyses of G4 levels in cells from J using flow cytometric assays. (L) Quantitative analyses of cell death in cells from J using flow cytometric assays. The dead cells are defined as propidium iodide and annexin V double positive. (M) Quantitative analyses of G4 levels in bone marrow mononuclear cells from the patient with DDX41 mutated MDS. All the error bars represent the SEM of the mean. The comparison between two groups was evaluated with 2 tailed t tests, and the comparison among multiple groups was evaluated with 1-way ANOVA tests. * p<0.05, **p<0.01, ***p<0.001, and ****p<0.0001. ns: not significant.
Lentiviral Vector Lenticrispr V2, supplied by Addgene inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Addgene inc crispr cas9 resensitization screening
(A) Ter119 negative cells and Ter119 positive erythroid cells were purified from wild-type mouse bone marrow cells. G4 levels were tested by flow cytometry using the BG4 antibody that specifically recognizes G4. Quantification is on the right. (B) Bone marrow lineage-negative cells were cultured in Epo medium for 2 days. G4 levels were tested on different days using flow cytometry by the BG4 antibody. Quantification is on the right. (C) CD34+ human HSPCs were cultured in Epo medium for 21 days. The levels of G4 were measured by flow cytometry as in B at the indicated time. Cells at day 7, 14, and 21 represent proerythroblasts, polychromatic to orthochromatic erythroblasts, and orthochromatic to mature red blood cells, respectively. (D) Flow cytometric assays of G4 levels in the indicated bone marrow lineage cells purified from wild-type mice. (E) Quantification of D. (F) Gating strategy of various erythroblasts. Populations I to VI represent proerythroblasts, basophilic erythroblasts, polychromatic erythroblasts, orthochromatic erythroblasts, late orthochromatic to reticulocytes, and mature red blood cells, respectively. (G-H) Flow cytometric assay of G4 level in bone marrow erythroid populations I (G) and V (H) from the indicated mice. Quantification is on the right. (I) Bone marrow lineage negative cells from the indicated mice were cultured in Epo medium for 2 days. G4 levels on different days were measured by flow cytometry using BG4 antibody. Quantification is below the histogram. (J) CD34+ cells were transduced with <t>lentiviral</t> vectors expressing indicated sgRNAs and <t>Cas9.</t> Cells were then harvested for Western blotting of the indicated proteins at day 9 in culture. (K) Quantitative analyses of G4 levels in cells from J using flow cytometric assays. (L) Quantitative analyses of cell death in cells from J using flow cytometric assays. The dead cells are defined as propidium iodide and annexin V double positive. (M) Quantitative analyses of G4 levels in bone marrow mononuclear cells from the patient with DDX41 mutated MDS. All the error bars represent the SEM of the mean. The comparison between two groups was evaluated with 2 tailed t tests, and the comparison among multiple groups was evaluated with 1-way ANOVA tests. * p<0.05, **p<0.01, ***p<0.001, and ****p<0.0001. ns: not significant.
Crispr Cas9 Resensitization Screening, supplied by Addgene inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Cell Signaling Technology Inc mouse bd 610822 anti cas9 cell signaling cst
(A) Ter119 negative cells and Ter119 positive erythroid cells were purified from wild-type mouse bone marrow cells. G4 levels were tested by flow cytometry using the BG4 antibody that specifically recognizes G4. Quantification is on the right. (B) Bone marrow lineage-negative cells were cultured in Epo medium for 2 days. G4 levels were tested on different days using flow cytometry by the BG4 antibody. Quantification is on the right. (C) CD34+ human HSPCs were cultured in Epo medium for 21 days. The levels of G4 were measured by flow cytometry as in B at the indicated time. Cells at day 7, 14, and 21 represent proerythroblasts, polychromatic to orthochromatic erythroblasts, and orthochromatic to mature red blood cells, respectively. (D) Flow cytometric assays of G4 levels in the indicated bone marrow lineage cells purified from wild-type mice. (E) Quantification of D. (F) Gating strategy of various erythroblasts. Populations I to VI represent proerythroblasts, basophilic erythroblasts, polychromatic erythroblasts, orthochromatic erythroblasts, late orthochromatic to reticulocytes, and mature red blood cells, respectively. (G-H) Flow cytometric assay of G4 level in bone marrow erythroid populations I (G) and V (H) from the indicated mice. Quantification is on the right. (I) Bone marrow lineage negative cells from the indicated mice were cultured in Epo medium for 2 days. G4 levels on different days were measured by flow cytometry using BG4 antibody. Quantification is below the histogram. (J) CD34+ cells were transduced with <t>lentiviral</t> vectors expressing indicated sgRNAs and <t>Cas9.</t> Cells were then harvested for Western blotting of the indicated proteins at day 9 in culture. (K) Quantitative analyses of G4 levels in cells from J using flow cytometric assays. (L) Quantitative analyses of cell death in cells from J using flow cytometric assays. The dead cells are defined as propidium iodide and annexin V double positive. (M) Quantitative analyses of G4 levels in bone marrow mononuclear cells from the patient with DDX41 mutated MDS. All the error bars represent the SEM of the mean. The comparison between two groups was evaluated with 2 tailed t tests, and the comparison among multiple groups was evaluated with 1-way ANOVA tests. * p<0.05, **p<0.01, ***p<0.001, and ****p<0.0001. ns: not significant.
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Addgene inc cas9 nuclease
(A) Ter119 negative cells and Ter119 positive erythroid cells were purified from wild-type mouse bone marrow cells. G4 levels were tested by flow cytometry using the BG4 antibody that specifically recognizes G4. Quantification is on the right. (B) Bone marrow lineage-negative cells were cultured in Epo medium for 2 days. G4 levels were tested on different days using flow cytometry by the BG4 antibody. Quantification is on the right. (C) CD34+ human HSPCs were cultured in Epo medium for 21 days. The levels of G4 were measured by flow cytometry as in B at the indicated time. Cells at day 7, 14, and 21 represent proerythroblasts, polychromatic to orthochromatic erythroblasts, and orthochromatic to mature red blood cells, respectively. (D) Flow cytometric assays of G4 levels in the indicated bone marrow lineage cells purified from wild-type mice. (E) Quantification of D. (F) Gating strategy of various erythroblasts. Populations I to VI represent proerythroblasts, basophilic erythroblasts, polychromatic erythroblasts, orthochromatic erythroblasts, late orthochromatic to reticulocytes, and mature red blood cells, respectively. (G-H) Flow cytometric assay of G4 level in bone marrow erythroid populations I (G) and V (H) from the indicated mice. Quantification is on the right. (I) Bone marrow lineage negative cells from the indicated mice were cultured in Epo medium for 2 days. G4 levels on different days were measured by flow cytometry using BG4 antibody. Quantification is below the histogram. (J) CD34+ cells were transduced with <t>lentiviral</t> vectors expressing indicated sgRNAs and <t>Cas9.</t> Cells were then harvested for Western blotting of the indicated proteins at day 9 in culture. (K) Quantitative analyses of G4 levels in cells from J using flow cytometric assays. (L) Quantitative analyses of cell death in cells from J using flow cytometric assays. The dead cells are defined as propidium iodide and annexin V double positive. (M) Quantitative analyses of G4 levels in bone marrow mononuclear cells from the patient with DDX41 mutated MDS. All the error bars represent the SEM of the mean. The comparison between two groups was evaluated with 2 tailed t tests, and the comparison among multiple groups was evaluated with 1-way ANOVA tests. * p<0.05, **p<0.01, ***p<0.001, and ****p<0.0001. ns: not significant.
Cas9 Nuclease, supplied by Addgene inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Santa Cruz Biotechnology human zdhhc6 plasmid
Fig. 1 Identification of potential genes implicated in colorectal cancer (CRC) and cancer metabolism-associated biological processes. (A) A screening procedure to find putative gene candidates. (B) Colorectal cancer (CRC) samples were found to differ from adjacent controls in terms of physiopathology and biological processes related to metabolism in a number of databases, including TCGA, ICGC, and the NCBI Gene Expression Omnibus (GEO) datasets (GEO: GSE254054, GSE231943, GSE252858, GSE234804, GSE236678, GSE231436, GSE197088, and GSE239549). (C) Following gene differential expression analysis, the total number of differentially expressed genes that crossed over into various databases was counted. (D) Six upregulated and four down regulated DEGs were identified based on a survival analysis of differentially expressed genes across six databases.In the databases of TCGA and ICGC, P < 0.05 was deemed statistically significant. (E) Six upregulated and four downregulated DEGs represent the molecular mechanisms impacting the onset of colorectal cancer and metabolic reprogramming. (F) Palmitoyltransferase <t>ZDHHC6</t> expression in the ICGC and TCGA databases. (G) Pancarcinoma analysis using TCGA datasets to measure ZDHHC6 expression levels in various malignancies. (H) The overall survival (OS) of colorectal cancer patients in the TCGA and ICGC databases according to different ZDHHC6 expression levels. (I) After dividing the TCGA and ICGC samples’ ZDHHC6 expression levels into groups of high and low expression levels, the grouped samples underwent GSEA analysis. The data were expressed as the mean ± SEM. A P value less than 0.05 was considered statistically significant. ***P < 0.001
Human Zdhhc6 Plasmid, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Addgene inc plex cas9 addgene
Fig. 1 Identification of potential genes implicated in colorectal cancer (CRC) and cancer metabolism-associated biological processes. (A) A screening procedure to find putative gene candidates. (B) Colorectal cancer (CRC) samples were found to differ from adjacent controls in terms of physiopathology and biological processes related to metabolism in a number of databases, including TCGA, ICGC, and the NCBI Gene Expression Omnibus (GEO) datasets (GEO: GSE254054, GSE231943, GSE252858, GSE234804, GSE236678, GSE231436, GSE197088, and GSE239549). (C) Following gene differential expression analysis, the total number of differentially expressed genes that crossed over into various databases was counted. (D) Six upregulated and four down regulated DEGs were identified based on a survival analysis of differentially expressed genes across six databases.In the databases of TCGA and ICGC, P < 0.05 was deemed statistically significant. (E) Six upregulated and four downregulated DEGs represent the molecular mechanisms impacting the onset of colorectal cancer and metabolic reprogramming. (F) Palmitoyltransferase <t>ZDHHC6</t> expression in the ICGC and TCGA databases. (G) Pancarcinoma analysis using TCGA datasets to measure ZDHHC6 expression levels in various malignancies. (H) The overall survival (OS) of colorectal cancer patients in the TCGA and ICGC databases according to different ZDHHC6 expression levels. (I) After dividing the TCGA and ICGC samples’ ZDHHC6 expression levels into groups of high and low expression levels, the grouped samples underwent GSEA analysis. The data were expressed as the mean ± SEM. A P value less than 0.05 was considered statistically significant. ***P < 0.001
Plex Cas9 Addgene, supplied by Addgene inc, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Addgene inc cas9 coding pspcas9 bb 2a puro
Fig. 1 Identification of potential genes implicated in colorectal cancer (CRC) and cancer metabolism-associated biological processes. (A) A screening procedure to find putative gene candidates. (B) Colorectal cancer (CRC) samples were found to differ from adjacent controls in terms of physiopathology and biological processes related to metabolism in a number of databases, including TCGA, ICGC, and the NCBI Gene Expression Omnibus (GEO) datasets (GEO: GSE254054, GSE231943, GSE252858, GSE234804, GSE236678, GSE231436, GSE197088, and GSE239549). (C) Following gene differential expression analysis, the total number of differentially expressed genes that crossed over into various databases was counted. (D) Six upregulated and four down regulated DEGs were identified based on a survival analysis of differentially expressed genes across six databases.In the databases of TCGA and ICGC, P < 0.05 was deemed statistically significant. (E) Six upregulated and four downregulated DEGs represent the molecular mechanisms impacting the onset of colorectal cancer and metabolic reprogramming. (F) Palmitoyltransferase <t>ZDHHC6</t> expression in the ICGC and TCGA databases. (G) Pancarcinoma analysis using TCGA datasets to measure ZDHHC6 expression levels in various malignancies. (H) The overall survival (OS) of colorectal cancer patients in the TCGA and ICGC databases according to different ZDHHC6 expression levels. (I) After dividing the TCGA and ICGC samples’ ZDHHC6 expression levels into groups of high and low expression levels, the grouped samples underwent GSEA analysis. The data were expressed as the mean ± SEM. A P value less than 0.05 was considered statistically significant. ***P < 0.001
Cas9 Coding Pspcas9 Bb 2a Puro, supplied by Addgene inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Addgene inc human codon optimized cas9 gene
Figure 1. Strategy for generating cellular and mouse models of chromosomal translocation via the ESC- and <t>CRISPR/Cas9-based</t> technologies. (a) Strategy for generating mESC models, or mESC-derived cellular models, and mouse models carrying a chromosomal translocation. (b) Strategy for generating site-specific chromosomal translocations in mESCs using the CRISPR/Cas9 system. Cdx2 and Gsk3α sgRNAs will guide Cas9 (blue) onto the indicated target sites located in mouse chromosome 5 (red) and chromosome 7 (green), respectively. DSBs will then be induced in these two sites. By activating NHEJ, DSBs can be repaired and the chromosomal translocation T (5:7) may occur in the designated location, thus generating two translocated chromosomes. To show the precise location and the relative length of the chromosomes, the chromosome graphs from the University of California Santa Cruz (UCSC) Genome Browser were used. Primer chr-short-p1 was designed to anneal to chromosome 7 at the site upstream of the predicted DSB point. Primer chr-short-p2 was designed to anneal downstream of the chromosome 5 DSB point. The size of PCR product is expected to be approximately 930 bp if the translocation occurs. Similarly, primers chr-long-p1 and chr-long-p2 were designed to detect T (5:7) chromosome-long, and the size of the PCR product is approximately 300 bp.
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Addgene inc cas9 spcas9
Fig. 1: Critical features for <t>CAS9/gRNA</t> expression affecting the genome editing efficiency. Implementing CRISPR/Cas9 in a given organism is reliant on a set of interdependent components. These features include the DNA sequence of CAS9, the type and position of the NLS for the nuclear import of Cas9, different gRNA sequences and target loci, the promoter for the expression of the gRNAs, the introduction of processing elements for RNA maturation (ribozymes) as well as transcriptional termination. Elements on the plasmid are not drawn to scale. Cas9 (blue) shown on the right side includes the gRNA (red) and the target DNA for cleavage (yellow). The illustration of the Cas9/gRNA complex was taken from the RCSB PDB (see acknowledgements).
Cas9 Spcas9, supplied by Addgene inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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OriGene human nat1 gene knockout crispr/cas9 kit kn221042
Fig. 1: Critical features for <t>CAS9/gRNA</t> expression affecting the genome editing efficiency. Implementing CRISPR/Cas9 in a given organism is reliant on a set of interdependent components. These features include the DNA sequence of CAS9, the type and position of the NLS for the nuclear import of Cas9, different gRNA sequences and target loci, the promoter for the expression of the gRNAs, the introduction of processing elements for RNA maturation (ribozymes) as well as transcriptional termination. Elements on the plasmid are not drawn to scale. Cas9 (blue) shown on the right side includes the gRNA (red) and the target DNA for cleavage (yellow). The illustration of the Cas9/gRNA complex was taken from the RCSB PDB (see acknowledgements).
Human Nat1 Gene Knockout Crispr/Cas9 Kit Kn221042, supplied by OriGene, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


(A) Ter119 negative cells and Ter119 positive erythroid cells were purified from wild-type mouse bone marrow cells. G4 levels were tested by flow cytometry using the BG4 antibody that specifically recognizes G4. Quantification is on the right. (B) Bone marrow lineage-negative cells were cultured in Epo medium for 2 days. G4 levels were tested on different days using flow cytometry by the BG4 antibody. Quantification is on the right. (C) CD34+ human HSPCs were cultured in Epo medium for 21 days. The levels of G4 were measured by flow cytometry as in B at the indicated time. Cells at day 7, 14, and 21 represent proerythroblasts, polychromatic to orthochromatic erythroblasts, and orthochromatic to mature red blood cells, respectively. (D) Flow cytometric assays of G4 levels in the indicated bone marrow lineage cells purified from wild-type mice. (E) Quantification of D. (F) Gating strategy of various erythroblasts. Populations I to VI represent proerythroblasts, basophilic erythroblasts, polychromatic erythroblasts, orthochromatic erythroblasts, late orthochromatic to reticulocytes, and mature red blood cells, respectively. (G-H) Flow cytometric assay of G4 level in bone marrow erythroid populations I (G) and V (H) from the indicated mice. Quantification is on the right. (I) Bone marrow lineage negative cells from the indicated mice were cultured in Epo medium for 2 days. G4 levels on different days were measured by flow cytometry using BG4 antibody. Quantification is below the histogram. (J) CD34+ cells were transduced with lentiviral vectors expressing indicated sgRNAs and Cas9. Cells were then harvested for Western blotting of the indicated proteins at day 9 in culture. (K) Quantitative analyses of G4 levels in cells from J using flow cytometric assays. (L) Quantitative analyses of cell death in cells from J using flow cytometric assays. The dead cells are defined as propidium iodide and annexin V double positive. (M) Quantitative analyses of G4 levels in bone marrow mononuclear cells from the patient with DDX41 mutated MDS. All the error bars represent the SEM of the mean. The comparison between two groups was evaluated with 2 tailed t tests, and the comparison among multiple groups was evaluated with 1-way ANOVA tests. * p<0.05, **p<0.01, ***p<0.001, and ****p<0.0001. ns: not significant.

Journal: bioRxiv

Article Title: DDX41 dissolves G-quadruplexes to maintain erythroid genome integrity and prevent cGAS-mediated cell death

doi: 10.1101/2024.10.14.617891

Figure Lengend Snippet: (A) Ter119 negative cells and Ter119 positive erythroid cells were purified from wild-type mouse bone marrow cells. G4 levels were tested by flow cytometry using the BG4 antibody that specifically recognizes G4. Quantification is on the right. (B) Bone marrow lineage-negative cells were cultured in Epo medium for 2 days. G4 levels were tested on different days using flow cytometry by the BG4 antibody. Quantification is on the right. (C) CD34+ human HSPCs were cultured in Epo medium for 21 days. The levels of G4 were measured by flow cytometry as in B at the indicated time. Cells at day 7, 14, and 21 represent proerythroblasts, polychromatic to orthochromatic erythroblasts, and orthochromatic to mature red blood cells, respectively. (D) Flow cytometric assays of G4 levels in the indicated bone marrow lineage cells purified from wild-type mice. (E) Quantification of D. (F) Gating strategy of various erythroblasts. Populations I to VI represent proerythroblasts, basophilic erythroblasts, polychromatic erythroblasts, orthochromatic erythroblasts, late orthochromatic to reticulocytes, and mature red blood cells, respectively. (G-H) Flow cytometric assay of G4 level in bone marrow erythroid populations I (G) and V (H) from the indicated mice. Quantification is on the right. (I) Bone marrow lineage negative cells from the indicated mice were cultured in Epo medium for 2 days. G4 levels on different days were measured by flow cytometry using BG4 antibody. Quantification is below the histogram. (J) CD34+ cells were transduced with lentiviral vectors expressing indicated sgRNAs and Cas9. Cells were then harvested for Western blotting of the indicated proteins at day 9 in culture. (K) Quantitative analyses of G4 levels in cells from J using flow cytometric assays. (L) Quantitative analyses of cell death in cells from J using flow cytometric assays. The dead cells are defined as propidium iodide and annexin V double positive. (M) Quantitative analyses of G4 levels in bone marrow mononuclear cells from the patient with DDX41 mutated MDS. All the error bars represent the SEM of the mean. The comparison between two groups was evaluated with 2 tailed t tests, and the comparison among multiple groups was evaluated with 1-way ANOVA tests. * p<0.05, **p<0.01, ***p<0.001, and ****p<0.0001. ns: not significant.

Article Snippet: The sgRNAs targeting DDX41 or scrambled sgRNA were cloned into the lentiviral vector lentiCRISPR v2 (Addgene, #52961, encoding Cas9) using the previously reported protocol .

Techniques: Purification, Flow Cytometry, Cell Culture, Transduction, Expressing, Western Blot, Comparison

(A) Epo medium-cultured mouse bone marrow lineage negative HSPCs were treated with 1 μM PDS for the indicated time. Immunofluorescence assays of γ-H2AX were performed, and representative images of the erythroid cells were presented. Scale bar: 5 μm. (B) Flow cytometry assay of the cells in A. (C) Statistical quantification of γH2AX signals in B. (D) Epo medium-cultured mouse bone marrow lineage negative HSPCs were cultured for 1 day, followed by the treatment of 1 μM PDS for 6 hours. Quantitative RT-PCR analyses of indicated ribosome RNAs were performed using different primer sets. (E) Western blotting assays of indicated in cells from D. Actin was used as a loading control. (F) Same as D except that bone marrow lineage negative HSPCs from HBBCre:Ddx41 fl/fl mouse were cultured for 1 day before the quantitative RT-PCR assays. (G) Western blotting assays of the indicated proteins in F. Cells from both day 1 and day 2 cultured cells were analyzed. (H) CD34+ cells were transduced with lentiviral vectors expressing indicated sgRNAs and Cas9. Cells were then harvested for Western blotting of the indicated proteins at day 9 in culture. (I) Immunohistochemical stains of p53 in bone marrow core biopsies from the patient in normal individual. Scale bar: 100 μm. (J) Quantification of γ-H2AX in bone marrow mononuclear cells from the patient in I and 2 control individuals. All the error bars represent the SEM of the mean. The comparison between two groups was evaluated with 2 tailed t tests, and the comparison among multiple groups was evaluated with 1-way ANOVA tests. * p<0.05, **p<0.01, ns: not significant.

Journal: bioRxiv

Article Title: DDX41 dissolves G-quadruplexes to maintain erythroid genome integrity and prevent cGAS-mediated cell death

doi: 10.1101/2024.10.14.617891

Figure Lengend Snippet: (A) Epo medium-cultured mouse bone marrow lineage negative HSPCs were treated with 1 μM PDS for the indicated time. Immunofluorescence assays of γ-H2AX were performed, and representative images of the erythroid cells were presented. Scale bar: 5 μm. (B) Flow cytometry assay of the cells in A. (C) Statistical quantification of γH2AX signals in B. (D) Epo medium-cultured mouse bone marrow lineage negative HSPCs were cultured for 1 day, followed by the treatment of 1 μM PDS for 6 hours. Quantitative RT-PCR analyses of indicated ribosome RNAs were performed using different primer sets. (E) Western blotting assays of indicated in cells from D. Actin was used as a loading control. (F) Same as D except that bone marrow lineage negative HSPCs from HBBCre:Ddx41 fl/fl mouse were cultured for 1 day before the quantitative RT-PCR assays. (G) Western blotting assays of the indicated proteins in F. Cells from both day 1 and day 2 cultured cells were analyzed. (H) CD34+ cells were transduced with lentiviral vectors expressing indicated sgRNAs and Cas9. Cells were then harvested for Western blotting of the indicated proteins at day 9 in culture. (I) Immunohistochemical stains of p53 in bone marrow core biopsies from the patient in normal individual. Scale bar: 100 μm. (J) Quantification of γ-H2AX in bone marrow mononuclear cells from the patient in I and 2 control individuals. All the error bars represent the SEM of the mean. The comparison between two groups was evaluated with 2 tailed t tests, and the comparison among multiple groups was evaluated with 1-way ANOVA tests. * p<0.05, **p<0.01, ns: not significant.

Article Snippet: The sgRNAs targeting DDX41 or scrambled sgRNA were cloned into the lentiviral vector lentiCRISPR v2 (Addgene, #52961, encoding Cas9) using the previously reported protocol .

Techniques: Cell Culture, Immunofluorescence, Flow Cytometry, Quantitative RT-PCR, Western Blot, Control, Transduction, Expressing, Immunohistochemical staining, Comparison

(A) Representative wide-field picture and H&E stains of bone marrow organoid in culture. (B) Whole-mount 3D imaging of the organoids. Imaris was used for cell surface rendering. Organoids were stained with indicated antibodies and subsequently imaged using a laser scanning confocal platform. (C) Confocal immunofluorescence assays of erythroid islands in the iPSC-derived bone marrow organoids (left) and a primary human bone marrow biopsy (right). CD71 was labeled with green for organoids and magenta for primary bone marrow. DAPI: blue. (D) Flow cytometry assays of the organoids using indicated antibodies for various lineages. (E) 10,000 CellVue-labeled donor CD34+ HSPCs were co-incubated with iPSC-derived bone marrow organoids for 3 days in each well of a 96-well plate, followed by an immunofluorescence assay. Representative pictures show the engraftment of donor hematopoietic cells into the organoid. Green, red, and blue represent CD71, CellVue, and DAPI-positive nuclei, respectively. The arrow points to an engrafted CellVue positive cell expressing CD71. (F) Flow cytometry of the organoids using indicated antibodies for various lineages of the engrafted cells in organoids from E. (G) Same as E, except the donor CD34+ cells were transduced with lentiviral vectors expressing Cas9 and indicated sgRNAs before co-incubation. After 3 days, the cells were collected for flow cytometric assays of erythroid and myeloid differentiation of CellVue-positive donor hematopoietic cells and negative iPSC-derived hematopoietic cells. Each data point represents cells combined from 10 organoids. The comparison was evaluated with 1-way ANOVA tests. * p<0.05, **p<0.01. (H) Schematic model of the function of DDX41 during erythropoiesis. The diagram is generated through BioRender.

Journal: bioRxiv

Article Title: DDX41 dissolves G-quadruplexes to maintain erythroid genome integrity and prevent cGAS-mediated cell death

doi: 10.1101/2024.10.14.617891

Figure Lengend Snippet: (A) Representative wide-field picture and H&E stains of bone marrow organoid in culture. (B) Whole-mount 3D imaging of the organoids. Imaris was used for cell surface rendering. Organoids were stained with indicated antibodies and subsequently imaged using a laser scanning confocal platform. (C) Confocal immunofluorescence assays of erythroid islands in the iPSC-derived bone marrow organoids (left) and a primary human bone marrow biopsy (right). CD71 was labeled with green for organoids and magenta for primary bone marrow. DAPI: blue. (D) Flow cytometry assays of the organoids using indicated antibodies for various lineages. (E) 10,000 CellVue-labeled donor CD34+ HSPCs were co-incubated with iPSC-derived bone marrow organoids for 3 days in each well of a 96-well plate, followed by an immunofluorescence assay. Representative pictures show the engraftment of donor hematopoietic cells into the organoid. Green, red, and blue represent CD71, CellVue, and DAPI-positive nuclei, respectively. The arrow points to an engrafted CellVue positive cell expressing CD71. (F) Flow cytometry of the organoids using indicated antibodies for various lineages of the engrafted cells in organoids from E. (G) Same as E, except the donor CD34+ cells were transduced with lentiviral vectors expressing Cas9 and indicated sgRNAs before co-incubation. After 3 days, the cells were collected for flow cytometric assays of erythroid and myeloid differentiation of CellVue-positive donor hematopoietic cells and negative iPSC-derived hematopoietic cells. Each data point represents cells combined from 10 organoids. The comparison was evaluated with 1-way ANOVA tests. * p<0.05, **p<0.01. (H) Schematic model of the function of DDX41 during erythropoiesis. The diagram is generated through BioRender.

Article Snippet: The sgRNAs targeting DDX41 or scrambled sgRNA were cloned into the lentiviral vector lentiCRISPR v2 (Addgene, #52961, encoding Cas9) using the previously reported protocol .

Techniques: Imaging, Staining, Immunofluorescence, Derivative Assay, Labeling, Flow Cytometry, Incubation, Expressing, Transduction, Comparison, Generated

Fig. 1 Identification of potential genes implicated in colorectal cancer (CRC) and cancer metabolism-associated biological processes. (A) A screening procedure to find putative gene candidates. (B) Colorectal cancer (CRC) samples were found to differ from adjacent controls in terms of physiopathology and biological processes related to metabolism in a number of databases, including TCGA, ICGC, and the NCBI Gene Expression Omnibus (GEO) datasets (GEO: GSE254054, GSE231943, GSE252858, GSE234804, GSE236678, GSE231436, GSE197088, and GSE239549). (C) Following gene differential expression analysis, the total number of differentially expressed genes that crossed over into various databases was counted. (D) Six upregulated and four down regulated DEGs were identified based on a survival analysis of differentially expressed genes across six databases.In the databases of TCGA and ICGC, P < 0.05 was deemed statistically significant. (E) Six upregulated and four downregulated DEGs represent the molecular mechanisms impacting the onset of colorectal cancer and metabolic reprogramming. (F) Palmitoyltransferase ZDHHC6 expression in the ICGC and TCGA databases. (G) Pancarcinoma analysis using TCGA datasets to measure ZDHHC6 expression levels in various malignancies. (H) The overall survival (OS) of colorectal cancer patients in the TCGA and ICGC databases according to different ZDHHC6 expression levels. (I) After dividing the TCGA and ICGC samples’ ZDHHC6 expression levels into groups of high and low expression levels, the grouped samples underwent GSEA analysis. The data were expressed as the mean ± SEM. A P value less than 0.05 was considered statistically significant. ***P < 0.001

Journal: Journal of experimental & clinical cancer research : CR

Article Title: Palmitoyltransferase ZDHHC6 promotes colon tumorigenesis by targeting PPARγ-driven lipid biosynthesis via regulating lipidome metabolic reprogramming.

doi: 10.1186/s13046-024-03154-0

Figure Lengend Snippet: Fig. 1 Identification of potential genes implicated in colorectal cancer (CRC) and cancer metabolism-associated biological processes. (A) A screening procedure to find putative gene candidates. (B) Colorectal cancer (CRC) samples were found to differ from adjacent controls in terms of physiopathology and biological processes related to metabolism in a number of databases, including TCGA, ICGC, and the NCBI Gene Expression Omnibus (GEO) datasets (GEO: GSE254054, GSE231943, GSE252858, GSE234804, GSE236678, GSE231436, GSE197088, and GSE239549). (C) Following gene differential expression analysis, the total number of differentially expressed genes that crossed over into various databases was counted. (D) Six upregulated and four down regulated DEGs were identified based on a survival analysis of differentially expressed genes across six databases.In the databases of TCGA and ICGC, P < 0.05 was deemed statistically significant. (E) Six upregulated and four downregulated DEGs represent the molecular mechanisms impacting the onset of colorectal cancer and metabolic reprogramming. (F) Palmitoyltransferase ZDHHC6 expression in the ICGC and TCGA databases. (G) Pancarcinoma analysis using TCGA datasets to measure ZDHHC6 expression levels in various malignancies. (H) The overall survival (OS) of colorectal cancer patients in the TCGA and ICGC databases according to different ZDHHC6 expression levels. (I) After dividing the TCGA and ICGC samples’ ZDHHC6 expression levels into groups of high and low expression levels, the grouped samples underwent GSEA analysis. The data were expressed as the mean ± SEM. A P value less than 0.05 was considered statistically significant. ***P < 0.001

Article Snippet: The readymade CRISPR/Cas9 KO products for human ZDHHC6 plasmid (#sc-418298) and PPARγ plasmid (#sc-400030) were acquired from Santa Cruz Biotechnology, Inc.

Techniques: Gene Expression, Quantitative Proteomics, Expressing

Fig. 2 Increased ZDHHC6 is positively associated with the development of human colorectal cancer (CRC). (A) ZDHHC6 mRNA expression levels in 73 pairs of CRC sample pairs (T) and their corresponding adjacent sample pairs (N). n = 73 pairs. (B) ZDHHC6 protein expression levels in sixteen pairs of similar adjacent tissues and colorectal cancer tissues selected at random. For each group, n = 3. (C) ZDHHC6 mRNA expression levels in relation to a range of CRC-associated cell lines, such as SNU-C2A, SW48, HT-29, LS1034, HCT116, and Caco-2, as well as the matching human normal colonic epithelial cell line (FHC), are displayed in qPCR analysis. For each group, n = 5. (D, E) ZDHHC6 protein expression in SNU-C2A, SW48, HT-29, LS1034, HCT116, Caco-2, and FHC cell line as demonstrated by western blotting (D) and immunofluorescence analysis (E). 200 μm; each group has n = 5. (F, G) qPCR analysis (F) and western blotting experiment (G) demonstrate the effect of the gradually increased dosage of 2-bromopalmitate (2-BP) on the relative ZDHHC6 mRNA and protein expression levels in HCT116, SNU-C2A, SW48, and Caco-2 cell lines. For each group, n = 3. (H) An immunofluorescence assay demonstrating the co-expression of ZDHHC6 and Ki67 in response to 40 µM 2-bromopalmitate (2-BP) in HCT116, SNU-C2A, SW48, and Caco-2 cell lines. 200 μm; each group has n = 3. Data are expressed as mean ± SEM. The relevant experiments presented in this section were performed independently at least three times. P < 0.05 indicates statistical significance

Journal: Journal of experimental & clinical cancer research : CR

Article Title: Palmitoyltransferase ZDHHC6 promotes colon tumorigenesis by targeting PPARγ-driven lipid biosynthesis via regulating lipidome metabolic reprogramming.

doi: 10.1186/s13046-024-03154-0

Figure Lengend Snippet: Fig. 2 Increased ZDHHC6 is positively associated with the development of human colorectal cancer (CRC). (A) ZDHHC6 mRNA expression levels in 73 pairs of CRC sample pairs (T) and their corresponding adjacent sample pairs (N). n = 73 pairs. (B) ZDHHC6 protein expression levels in sixteen pairs of similar adjacent tissues and colorectal cancer tissues selected at random. For each group, n = 3. (C) ZDHHC6 mRNA expression levels in relation to a range of CRC-associated cell lines, such as SNU-C2A, SW48, HT-29, LS1034, HCT116, and Caco-2, as well as the matching human normal colonic epithelial cell line (FHC), are displayed in qPCR analysis. For each group, n = 5. (D, E) ZDHHC6 protein expression in SNU-C2A, SW48, HT-29, LS1034, HCT116, Caco-2, and FHC cell line as demonstrated by western blotting (D) and immunofluorescence analysis (E). 200 μm; each group has n = 5. (F, G) qPCR analysis (F) and western blotting experiment (G) demonstrate the effect of the gradually increased dosage of 2-bromopalmitate (2-BP) on the relative ZDHHC6 mRNA and protein expression levels in HCT116, SNU-C2A, SW48, and Caco-2 cell lines. For each group, n = 3. (H) An immunofluorescence assay demonstrating the co-expression of ZDHHC6 and Ki67 in response to 40 µM 2-bromopalmitate (2-BP) in HCT116, SNU-C2A, SW48, and Caco-2 cell lines. 200 μm; each group has n = 3. Data are expressed as mean ± SEM. The relevant experiments presented in this section were performed independently at least three times. P < 0.05 indicates statistical significance

Article Snippet: The readymade CRISPR/Cas9 KO products for human ZDHHC6 plasmid (#sc-418298) and PPARγ plasmid (#sc-400030) were acquired from Santa Cruz Biotechnology, Inc.

Techniques: Expressing, Western Blot, Immunofluorescence

Fig. 4 ZDHHC6 facilitates lipid deposition and carcinogenesis in CRC cells. (A) A venn diagram shows the variations in metabolites produced by HCT116 cells with ZDHHC6 knockout (KO) and wild-type (WT) phenotypes. ZDHHC6 and fatty acid synthesis pathways have a significant association, according to pathway enrichment analysis of the 36 metabolites. Total peak area was used to correct the LC-MS-based untargeted metabolomic study and its findings. (B) Using these 36 differential metabolites, pathway analysis showed enhanced signaling pathways. (www.metaboanalyst.ca). (C) A heatmap showing how these 36 significantly altered metabolites changed. Student’s t-test, unpaired, two-tailed, P < 0.05. The fold change is indicated by -2.0 ~ 2.0 (Fc). (D, E) The ratios of various isotopic forms of FFA C16:0 (palmitate) in ZDHHC6 (KO) (D) and AdZDHHC6 (E) HCT116 cells after a brief exposure to glucose [U-13C]. When the cell density was around 85%, the media was changed to RPMI 1640 containing 2 g/L glucose tagged with [U-13C]. Following a 24-hour period, the PBS-rinsed cell culture plates were quickly frozen in liquid nitrogen and subjected to an LC-MS assay analysis (n = 4 per group). (F) Representative im munofluorescence pictures of HCT116 cells with ZDHHC6 (WT) and ZDHHC6 (KO) phenotypic, demonstrating ZDHHC6 expression, lipid accumulation (Bodipy staining), and corresponding intracellular triglyceride (TG) levels (n = 4 per group). (G, H) ZDHHC6 (WT) and ZDHHC6 (KO) HCT116 cells were injected into the right flanks of nude mice. Every two days, tumor volumes were measured. On day 22 following dissection, tumor pictures (G), growth curves, and weight (H) were recorded (n = 4 per group). Scale bars, 1 cm. (I) A heatmap utilizing untargeted metabolomic analysis comparing significantly changed metabolites between tumors originating from ZDHHC6 (KO) HCT116 cells and ZDHHC6 (WT) cell lines. Data are expressed as mean ± SEM. The relevant experiments presented in this part were performed independently at least three times. P < 0.05 indicates statistical significance

Journal: Journal of experimental & clinical cancer research : CR

Article Title: Palmitoyltransferase ZDHHC6 promotes colon tumorigenesis by targeting PPARγ-driven lipid biosynthesis via regulating lipidome metabolic reprogramming.

doi: 10.1186/s13046-024-03154-0

Figure Lengend Snippet: Fig. 4 ZDHHC6 facilitates lipid deposition and carcinogenesis in CRC cells. (A) A venn diagram shows the variations in metabolites produced by HCT116 cells with ZDHHC6 knockout (KO) and wild-type (WT) phenotypes. ZDHHC6 and fatty acid synthesis pathways have a significant association, according to pathway enrichment analysis of the 36 metabolites. Total peak area was used to correct the LC-MS-based untargeted metabolomic study and its findings. (B) Using these 36 differential metabolites, pathway analysis showed enhanced signaling pathways. (www.metaboanalyst.ca). (C) A heatmap showing how these 36 significantly altered metabolites changed. Student’s t-test, unpaired, two-tailed, P < 0.05. The fold change is indicated by -2.0 ~ 2.0 (Fc). (D, E) The ratios of various isotopic forms of FFA C16:0 (palmitate) in ZDHHC6 (KO) (D) and AdZDHHC6 (E) HCT116 cells after a brief exposure to glucose [U-13C]. When the cell density was around 85%, the media was changed to RPMI 1640 containing 2 g/L glucose tagged with [U-13C]. Following a 24-hour period, the PBS-rinsed cell culture plates were quickly frozen in liquid nitrogen and subjected to an LC-MS assay analysis (n = 4 per group). (F) Representative im munofluorescence pictures of HCT116 cells with ZDHHC6 (WT) and ZDHHC6 (KO) phenotypic, demonstrating ZDHHC6 expression, lipid accumulation (Bodipy staining), and corresponding intracellular triglyceride (TG) levels (n = 4 per group). (G, H) ZDHHC6 (WT) and ZDHHC6 (KO) HCT116 cells were injected into the right flanks of nude mice. Every two days, tumor volumes were measured. On day 22 following dissection, tumor pictures (G), growth curves, and weight (H) were recorded (n = 4 per group). Scale bars, 1 cm. (I) A heatmap utilizing untargeted metabolomic analysis comparing significantly changed metabolites between tumors originating from ZDHHC6 (KO) HCT116 cells and ZDHHC6 (WT) cell lines. Data are expressed as mean ± SEM. The relevant experiments presented in this part were performed independently at least three times. P < 0.05 indicates statistical significance

Article Snippet: The readymade CRISPR/Cas9 KO products for human ZDHHC6 plasmid (#sc-418298) and PPARγ plasmid (#sc-400030) were acquired from Santa Cruz Biotechnology, Inc.

Techniques: Produced, Knock-Out, Liquid Chromatography with Mass Spectroscopy, Protein-Protein interactions, Two Tailed Test, Cell Culture, Expressing, Staining, Injection, Dissection

Fig. 5 ZDHHC6 specifically binds to the lipid metabolism key transcription factor of PPARγ. (A) After 24 h of SFB-ZDHHC6 transfection in HCT116 cells, ZDHHC6-interacting proteins were identified by tandem affinity purification and mass spectrometry (MS). This was accomplished by removing S-protein, Flag, and streptavidin binding peptide (SFB). (B) ZDHHC6 or IgG antibodies were used to immunoprecipitate HCT116 cell lysates, and PPARγ, PPARα, PPARδ, SREBP1, and ZDHHC6 antibodies were used for western blotting experiments. (C) ZDHHC6 or IgG antibodies were used to immunoprecipitate cellular lysates of SNU-C2A, SW48, HT-29, LS1034, and Caco-2 cells, and ZDHHC6 or PPARγ antibodies were used for western blotting experiments. (D) GST pulldown assay using GST-PPARγ and purified His-ZDHHC6 in HCT116 cells. (E) Schematic of the experimental procedure showing the genes expression in HCT116, Caco-2, SNU-C2A and HT-29 after adenovirus-mediated ZDHHC6 overactivation (AdZDHHC6). The lower schematic diagram showing the inter section of the results from the proteomics and IP-MS analyses. (F) For a duration of 24 h, plasmids expressing Flag-PPARγ or Myc-ZDHHC6 individually or in combination were transfected into HCT116, Caco-2, SNU-C2A and HT-29 cells, respectively. His or Flag antibodies were used for immunoblotting after cellular lysates had been immunoprecipitated with Flag and/or His antibodies. (G) GST pulldown assay using GST-PPARγ and purified Flag-ZDHHC6 in Caco-2 and SNU-C2A cells, respectively. (H) Assay for immunofluorescence staining demonstrating ZDHHC6 and PPARγ co-expression in HCT116, Caco-2, and SNU-C2A cells. 20 μm. (I) In HCT116 cells, vectors containing the hinge-LBD domain, full length (FL), AF-1, DBD, and PPARγ were co-expressed with SFB-ZDHHC6. S-bead pulldown was used to immunoprecipitate cellular lysates. (J) Based on GSEA signaling pathway analysis, an assay of the TCGA-CRC and ICGC-CRC datasets showed a significant connection between ZDHHC6 and the PPARγ pathway in CRC. Data are expressed as mean ± SEM. The rel evant experiments presented in this part were performed independently at least three times. P < 0.05 indicates statistical significance

Journal: Journal of experimental & clinical cancer research : CR

Article Title: Palmitoyltransferase ZDHHC6 promotes colon tumorigenesis by targeting PPARγ-driven lipid biosynthesis via regulating lipidome metabolic reprogramming.

doi: 10.1186/s13046-024-03154-0

Figure Lengend Snippet: Fig. 5 ZDHHC6 specifically binds to the lipid metabolism key transcription factor of PPARγ. (A) After 24 h of SFB-ZDHHC6 transfection in HCT116 cells, ZDHHC6-interacting proteins were identified by tandem affinity purification and mass spectrometry (MS). This was accomplished by removing S-protein, Flag, and streptavidin binding peptide (SFB). (B) ZDHHC6 or IgG antibodies were used to immunoprecipitate HCT116 cell lysates, and PPARγ, PPARα, PPARδ, SREBP1, and ZDHHC6 antibodies were used for western blotting experiments. (C) ZDHHC6 or IgG antibodies were used to immunoprecipitate cellular lysates of SNU-C2A, SW48, HT-29, LS1034, and Caco-2 cells, and ZDHHC6 or PPARγ antibodies were used for western blotting experiments. (D) GST pulldown assay using GST-PPARγ and purified His-ZDHHC6 in HCT116 cells. (E) Schematic of the experimental procedure showing the genes expression in HCT116, Caco-2, SNU-C2A and HT-29 after adenovirus-mediated ZDHHC6 overactivation (AdZDHHC6). The lower schematic diagram showing the inter section of the results from the proteomics and IP-MS analyses. (F) For a duration of 24 h, plasmids expressing Flag-PPARγ or Myc-ZDHHC6 individually or in combination were transfected into HCT116, Caco-2, SNU-C2A and HT-29 cells, respectively. His or Flag antibodies were used for immunoblotting after cellular lysates had been immunoprecipitated with Flag and/or His antibodies. (G) GST pulldown assay using GST-PPARγ and purified Flag-ZDHHC6 in Caco-2 and SNU-C2A cells, respectively. (H) Assay for immunofluorescence staining demonstrating ZDHHC6 and PPARγ co-expression in HCT116, Caco-2, and SNU-C2A cells. 20 μm. (I) In HCT116 cells, vectors containing the hinge-LBD domain, full length (FL), AF-1, DBD, and PPARγ were co-expressed with SFB-ZDHHC6. S-bead pulldown was used to immunoprecipitate cellular lysates. (J) Based on GSEA signaling pathway analysis, an assay of the TCGA-CRC and ICGC-CRC datasets showed a significant connection between ZDHHC6 and the PPARγ pathway in CRC. Data are expressed as mean ± SEM. The rel evant experiments presented in this part were performed independently at least three times. P < 0.05 indicates statistical significance

Article Snippet: The readymade CRISPR/Cas9 KO products for human ZDHHC6 plasmid (#sc-418298) and PPARγ plasmid (#sc-400030) were acquired from Santa Cruz Biotechnology, Inc.

Techniques: Transfection, Affinity Purification, Mass Spectrometry, Binding Assay, Western Blot, GST Pulldown Assay, Purification, Expressing, Protein-Protein interactions, Immunoprecipitation, Immunofluorescence, Staining

Fig. 6 Identification of the palmitoylation site on PPARγ at evolutionarily conserved cysteine residues. (A) For a duration of 24 h, HCT116 cells were exposed to 60 µM 2-BP, 1 µM ABD957, 6 µM palmostatin B (Palm B), and 10 µM palmostatin M (Palm M) treatments. The slices that were fixed underwent immunofluorescence labeling using PPARγ (red) and pan-palmitoylation (green). 10 μm scale bars; n = 5 per group. (B) Schematic diagram of the Click-iT assay for palmitoylation measurement of PPARγ. HCT116 cells were treated with 100 µM Click-iT PA and azides for five hours. The resulting lysates were then submitted to Click-iT detection as per the product instructions, and PPARγ antibody western blotting analysis was performed. The indicated group’s expression of PPARγ is indicated by the western blotting bands on the right. (C) Using the GPS-Palm program (MacOS_20200219) (The CUCKOO Work group, http://gpspalm.biocuckoo.cn/) and the MDD-Palm algorithm (http://csb.cse.yzu.edu.tw/MDDPalm/), the palmitoylation site on PPARγ in Homo sapiens (upper) and Mus musculus (lower) is predicted to be located. PPARγ’s lower palmitoylation site contains conserved cysteine residues shared by Rattus norvegicus, Bos taurus, Canis familiaris, Mus musculus, and Homo sapiens. (D) After incubating Click-iT PA and azides for five hours on HCT116 cells overexpressing either PPARγ WT or PPARγ C313S mutant, the corresponding cellular lysates were obtained and Click-iT detection was performed in com pliance with the product’s instructions. After the palmitoylated proteins were added to the streptavidin-sepharose bead conjugate for pull-down detec tion, PPARγ and ACTIN antibodies were used in a western blotting examination. While PPARγ C313S was not palmitoylated in top gel, lane 6, or the control groups, it was for PPARγ WT in lane 5. Three separate runs of this experiment were conducted. (E) CHX was cultured with HCT116 cells overexpressing either the PPARγ WT or PPARγ C313S mutant for a specific amount of time. PPARγ and ACTIN antibodies were used in immunoblotting detection of the obtained cellular lysates. The relative PPARγ remaining ratio (n = 4 per group) is displayed in the right curve graph at the specified time point. (F) PPARγ WT or PPARγ C313S mutant overexpression was observed in the upper HCT116 cells. Pan-palmitoylation (green) and PPARγ (red) immunofluorescent label ing were applied to the cell sections. Lower, AdZDHHC6 + PPARγ C313S mutant or PPARγ C313S alone were overexpressed in HCT116 cells, respectively. The bar graph displays the intensity of PPARγ fluorescence in each of the indicated groups (n = 5 pictures; P < 0.05 vs. PPARγ C313S + AdControl or PPARγ WT). Scale bars, 20 μm. (G) In HCT116 cells, PPARγ-Flag and ZDHHC6-HA plasmids were transfected. Alk16 labeling was used to determine the palmi toylated PPARγ expression contents in the presence or absence of hydroxylamine therapy. (H) PPARγ-Flag was used to transfect SNU-C2A cells (WT) or ZDHHC6-deleted SNU-C2A cells, and Alk16 was used to label the cells. Subcellular fraction was extracted, and the levels of PPARγ protein were adjusted to verify that the input cells from the wild type and the knockout cell had the same quantity of PPARγ. Immunoblotting analysis was used to evaluate the palmitoylated PPARγ expression contents in the cell membrane (Mem.), cell cytoplasm (Cyto.), and cell nucleus (Nuc.) components. Data are expressed as mean ± SEM. The relevant experiments presented in this part were performed independently at least three times. P < 0.05 indicates statistical significance

Journal: Journal of experimental & clinical cancer research : CR

Article Title: Palmitoyltransferase ZDHHC6 promotes colon tumorigenesis by targeting PPARγ-driven lipid biosynthesis via regulating lipidome metabolic reprogramming.

doi: 10.1186/s13046-024-03154-0

Figure Lengend Snippet: Fig. 6 Identification of the palmitoylation site on PPARγ at evolutionarily conserved cysteine residues. (A) For a duration of 24 h, HCT116 cells were exposed to 60 µM 2-BP, 1 µM ABD957, 6 µM palmostatin B (Palm B), and 10 µM palmostatin M (Palm M) treatments. The slices that were fixed underwent immunofluorescence labeling using PPARγ (red) and pan-palmitoylation (green). 10 μm scale bars; n = 5 per group. (B) Schematic diagram of the Click-iT assay for palmitoylation measurement of PPARγ. HCT116 cells were treated with 100 µM Click-iT PA and azides for five hours. The resulting lysates were then submitted to Click-iT detection as per the product instructions, and PPARγ antibody western blotting analysis was performed. The indicated group’s expression of PPARγ is indicated by the western blotting bands on the right. (C) Using the GPS-Palm program (MacOS_20200219) (The CUCKOO Work group, http://gpspalm.biocuckoo.cn/) and the MDD-Palm algorithm (http://csb.cse.yzu.edu.tw/MDDPalm/), the palmitoylation site on PPARγ in Homo sapiens (upper) and Mus musculus (lower) is predicted to be located. PPARγ’s lower palmitoylation site contains conserved cysteine residues shared by Rattus norvegicus, Bos taurus, Canis familiaris, Mus musculus, and Homo sapiens. (D) After incubating Click-iT PA and azides for five hours on HCT116 cells overexpressing either PPARγ WT or PPARγ C313S mutant, the corresponding cellular lysates were obtained and Click-iT detection was performed in com pliance with the product’s instructions. After the palmitoylated proteins were added to the streptavidin-sepharose bead conjugate for pull-down detec tion, PPARγ and ACTIN antibodies were used in a western blotting examination. While PPARγ C313S was not palmitoylated in top gel, lane 6, or the control groups, it was for PPARγ WT in lane 5. Three separate runs of this experiment were conducted. (E) CHX was cultured with HCT116 cells overexpressing either the PPARγ WT or PPARγ C313S mutant for a specific amount of time. PPARγ and ACTIN antibodies were used in immunoblotting detection of the obtained cellular lysates. The relative PPARγ remaining ratio (n = 4 per group) is displayed in the right curve graph at the specified time point. (F) PPARγ WT or PPARγ C313S mutant overexpression was observed in the upper HCT116 cells. Pan-palmitoylation (green) and PPARγ (red) immunofluorescent label ing were applied to the cell sections. Lower, AdZDHHC6 + PPARγ C313S mutant or PPARγ C313S alone were overexpressed in HCT116 cells, respectively. The bar graph displays the intensity of PPARγ fluorescence in each of the indicated groups (n = 5 pictures; P < 0.05 vs. PPARγ C313S + AdControl or PPARγ WT). Scale bars, 20 μm. (G) In HCT116 cells, PPARγ-Flag and ZDHHC6-HA plasmids were transfected. Alk16 labeling was used to determine the palmi toylated PPARγ expression contents in the presence or absence of hydroxylamine therapy. (H) PPARγ-Flag was used to transfect SNU-C2A cells (WT) or ZDHHC6-deleted SNU-C2A cells, and Alk16 was used to label the cells. Subcellular fraction was extracted, and the levels of PPARγ protein were adjusted to verify that the input cells from the wild type and the knockout cell had the same quantity of PPARγ. Immunoblotting analysis was used to evaluate the palmitoylated PPARγ expression contents in the cell membrane (Mem.), cell cytoplasm (Cyto.), and cell nucleus (Nuc.) components. Data are expressed as mean ± SEM. The relevant experiments presented in this part were performed independently at least three times. P < 0.05 indicates statistical significance

Article Snippet: The readymade CRISPR/Cas9 KO products for human ZDHHC6 plasmid (#sc-418298) and PPARγ plasmid (#sc-400030) were acquired from Santa Cruz Biotechnology, Inc.

Techniques: Immunofluorescence, Labeling, Western Blot, Expressing, Mutagenesis, Control, Cell Culture, Over Expression, Fluorescence, Transfection, Knock-Out, Membrane

Fig. 7 ZDHHC6-mediated palmitoylated PPARγ enhances its nucleus translocalization. (A) ZDHHC6 and PPARγ expression were examined in the ZDH HC6-deleted HCT116, SNU-C2A and SW48 cells, respectively (n = 3 per group). (B) ZDHHC6 and PPARγ co-expression in AdshZDHHC6-transfected HCT116 cells, along with the matching fluorescence density as determined by Pearson’s analysis (n = 4 per group; P < 0.05 vs. AdshRNA). The scale bars are 20 μm. (C) In ZDHHC6-deleted HCT116 or ZDHHC6-deleted SW48 cells, palmitoylation levels and PPARγ expression were analyzed using western blotting assay (n = 4 per group). (D) Western blotting assay using PPARγ, ACTIN, and HA antibodies, followed by PPARγ overexpressing the HA-tagged ZDHHC6 construct in various CRC cell lines (n = 3 per group). (E) Immunofluorescence pictures demonstrating the co-expression of PPARγ and ZDHHC6 in ZDHHC6-overex pressed HCT116 cells, together with the matching fluorescence density as determined by Pearson’s analysis (n = 4 per group; P < 0.05 compared to empty vector). The scale bars are 20 μm. (F) HCT116 cells underwent IP of HA after co-transfecting with PPARγ and HA-ZDHHC6. ZDHHC6 and PPARγ Mutual Co-IP shows that endogenous ZDHHC6 and PPARγ bind to each other in HCT116 cells. (G) Using various alkyl-labeled fatty acylation, such as alk-C14, alk- C16, alk-C18, and alk-C20, the palmitoylation of PPARγ in the indicated cells was detected. By using streptavidin bead pulldown to identify acylated PPARγ, an immunoblotting experiment using PPARγ and ACTIN antibodies (n = 6 per group) was performed. (H) To identify acylated PPARγ in SW48, LS1034, and HT-29 cells, the same methodology as in (G) was applied. Following that, the lysates (n = 6 per group) were subjected to western blotting analysis using PPARγ and ACTIN antibodies. (I) Using Click reaction-associated streptavidin pulldown, the palmitoylation levels of Flag-labeled PPARγ WT, PPARγ C313S, PPARγ C156S, PPARγ C176S, and PPARγ C159S mutants were examined. Three individuals per group underwent an immunoblotting experiment using Flag and ACTIN antibodies on the relevant lysates. (J) ZDHHC6-HA and PPARγ-Flag were the vectors used to transfect the HCT116 cells. Using alk-C16 labeling, higher, palmitoylated PPARγ levels were demonstrated in both the presence and absence of hydroxylamine therapy. The corresponding fluorescence density and ACLY and PPARγ co-expression in HCT116 WT or HCT116 ZDHHC6 (KO) cells are depicted in the lower representative immunofluorescence images, which were analyzed using Pearson’s method (n = 5 per group; P < 0.05 vs. WT). The scale bars are 20 μm. (K) After transfecting the HCT116 WT or HCT116 ZDHHC6 (KO) cells with PPARγ-Flag, the cells were labeled with alk-C16. To verify that the wild type and knockout cell components for input had the same quantity of PPARγ, subcellular fraction was obtained and PPARγ protein levels were adjusted. Western blotting analysis was used to assess palmitoylated PPARγ levels in the cell membrane (Mem.), cell cytoplasm (Cyto. ), and cell nucleus (Nuc.) components. Data are expressed as mean ± SEM. The relevant experiments presented in this part were performed independently at least three times. P < 0.05 indicates statistical significance

Journal: Journal of experimental & clinical cancer research : CR

Article Title: Palmitoyltransferase ZDHHC6 promotes colon tumorigenesis by targeting PPARγ-driven lipid biosynthesis via regulating lipidome metabolic reprogramming.

doi: 10.1186/s13046-024-03154-0

Figure Lengend Snippet: Fig. 7 ZDHHC6-mediated palmitoylated PPARγ enhances its nucleus translocalization. (A) ZDHHC6 and PPARγ expression were examined in the ZDH HC6-deleted HCT116, SNU-C2A and SW48 cells, respectively (n = 3 per group). (B) ZDHHC6 and PPARγ co-expression in AdshZDHHC6-transfected HCT116 cells, along with the matching fluorescence density as determined by Pearson’s analysis (n = 4 per group; P < 0.05 vs. AdshRNA). The scale bars are 20 μm. (C) In ZDHHC6-deleted HCT116 or ZDHHC6-deleted SW48 cells, palmitoylation levels and PPARγ expression were analyzed using western blotting assay (n = 4 per group). (D) Western blotting assay using PPARγ, ACTIN, and HA antibodies, followed by PPARγ overexpressing the HA-tagged ZDHHC6 construct in various CRC cell lines (n = 3 per group). (E) Immunofluorescence pictures demonstrating the co-expression of PPARγ and ZDHHC6 in ZDHHC6-overex pressed HCT116 cells, together with the matching fluorescence density as determined by Pearson’s analysis (n = 4 per group; P < 0.05 compared to empty vector). The scale bars are 20 μm. (F) HCT116 cells underwent IP of HA after co-transfecting with PPARγ and HA-ZDHHC6. ZDHHC6 and PPARγ Mutual Co-IP shows that endogenous ZDHHC6 and PPARγ bind to each other in HCT116 cells. (G) Using various alkyl-labeled fatty acylation, such as alk-C14, alk- C16, alk-C18, and alk-C20, the palmitoylation of PPARγ in the indicated cells was detected. By using streptavidin bead pulldown to identify acylated PPARγ, an immunoblotting experiment using PPARγ and ACTIN antibodies (n = 6 per group) was performed. (H) To identify acylated PPARγ in SW48, LS1034, and HT-29 cells, the same methodology as in (G) was applied. Following that, the lysates (n = 6 per group) were subjected to western blotting analysis using PPARγ and ACTIN antibodies. (I) Using Click reaction-associated streptavidin pulldown, the palmitoylation levels of Flag-labeled PPARγ WT, PPARγ C313S, PPARγ C156S, PPARγ C176S, and PPARγ C159S mutants were examined. Three individuals per group underwent an immunoblotting experiment using Flag and ACTIN antibodies on the relevant lysates. (J) ZDHHC6-HA and PPARγ-Flag were the vectors used to transfect the HCT116 cells. Using alk-C16 labeling, higher, palmitoylated PPARγ levels were demonstrated in both the presence and absence of hydroxylamine therapy. The corresponding fluorescence density and ACLY and PPARγ co-expression in HCT116 WT or HCT116 ZDHHC6 (KO) cells are depicted in the lower representative immunofluorescence images, which were analyzed using Pearson’s method (n = 5 per group; P < 0.05 vs. WT). The scale bars are 20 μm. (K) After transfecting the HCT116 WT or HCT116 ZDHHC6 (KO) cells with PPARγ-Flag, the cells were labeled with alk-C16. To verify that the wild type and knockout cell components for input had the same quantity of PPARγ, subcellular fraction was obtained and PPARγ protein levels were adjusted. Western blotting analysis was used to assess palmitoylated PPARγ levels in the cell membrane (Mem.), cell cytoplasm (Cyto. ), and cell nucleus (Nuc.) components. Data are expressed as mean ± SEM. The relevant experiments presented in this part were performed independently at least three times. P < 0.05 indicates statistical significance

Article Snippet: The readymade CRISPR/Cas9 KO products for human ZDHHC6 plasmid (#sc-418298) and PPARγ plasmid (#sc-400030) were acquired from Santa Cruz Biotechnology, Inc.

Techniques: Expressing, Transfection, Fluorescence, Western Blot, Construct, Immunofluorescence, Plasmid Preparation, Co-Immunoprecipitation Assay, Labeling, Knock-Out, Membrane

Fig. 9 ZDHHC6-driven lipid biosynthesis contributes to CRC carcinogen esis by upregulating PPARγ. (A, B) In HCT116-related stable cells (Control, ZDHHC6, and ZDHHC6 + shPPARγ) (A) and HCT116-related stable cells (shControl, shZDHHC6, and shZDHHC6 + PPARγ) (B), the percentages of different isotopomers of FFA C16:0 following exposure to [U-13C] glucose are shown. Each group has n = 5. (C, D) The relative TG content and PPARγ expression abundance in the aforementioned cell lines from (A) and (B) are displayed in representative immunofluorescence pictures. Each group has n = 5. The scale bars are 20 μm. (E) In null mice, right flanks were in jected with ZDHHC6 + shPPARγ, ZDHHC6, and Control, stable cells related to HCT116. Every two days, tumor volumes were measured. Weight and tumor growth curves were measured 22 days following dissection. Each group has n = 5. (F) The right flanks of null mice were injected with shCon trol, shZDHHC6, and shZDHHC6 + PPARγ, stable cells linked to HCT116. Every two days, tumor volumes were measured. Weight and tumor growth curves were measured 22 days following dissection. Each group has n = 5. (G) Kaplan-Meier curves representing the survival analysis based on TCGA CRC prognostic data for ZDHHC6-positive, PPARγ-positive, and ZDHHC6 & PPARγ co-positive patients. (H) Based on the prognosis information from the ICGC CRC database, Kaplan-Meier curves were used to analyze the sur vival of ZDHHC6-positive, PPARγ-positive, and ZDHHC6 & PPARγ co-posi tive patients. Data are expressed as mean ± SEM. The relevant experiments presented in this part were performed independently at least three times. P < 0.05 indicates statistical significance

Journal: Journal of experimental & clinical cancer research : CR

Article Title: Palmitoyltransferase ZDHHC6 promotes colon tumorigenesis by targeting PPARγ-driven lipid biosynthesis via regulating lipidome metabolic reprogramming.

doi: 10.1186/s13046-024-03154-0

Figure Lengend Snippet: Fig. 9 ZDHHC6-driven lipid biosynthesis contributes to CRC carcinogen esis by upregulating PPARγ. (A, B) In HCT116-related stable cells (Control, ZDHHC6, and ZDHHC6 + shPPARγ) (A) and HCT116-related stable cells (shControl, shZDHHC6, and shZDHHC6 + PPARγ) (B), the percentages of different isotopomers of FFA C16:0 following exposure to [U-13C] glucose are shown. Each group has n = 5. (C, D) The relative TG content and PPARγ expression abundance in the aforementioned cell lines from (A) and (B) are displayed in representative immunofluorescence pictures. Each group has n = 5. The scale bars are 20 μm. (E) In null mice, right flanks were in jected with ZDHHC6 + shPPARγ, ZDHHC6, and Control, stable cells related to HCT116. Every two days, tumor volumes were measured. Weight and tumor growth curves were measured 22 days following dissection. Each group has n = 5. (F) The right flanks of null mice were injected with shCon trol, shZDHHC6, and shZDHHC6 + PPARγ, stable cells linked to HCT116. Every two days, tumor volumes were measured. Weight and tumor growth curves were measured 22 days following dissection. Each group has n = 5. (G) Kaplan-Meier curves representing the survival analysis based on TCGA CRC prognostic data for ZDHHC6-positive, PPARγ-positive, and ZDHHC6 & PPARγ co-positive patients. (H) Based on the prognosis information from the ICGC CRC database, Kaplan-Meier curves were used to analyze the sur vival of ZDHHC6-positive, PPARγ-positive, and ZDHHC6 & PPARγ co-posi tive patients. Data are expressed as mean ± SEM. The relevant experiments presented in this part were performed independently at least three times. P < 0.05 indicates statistical significance

Article Snippet: The readymade CRISPR/Cas9 KO products for human ZDHHC6 plasmid (#sc-418298) and PPARγ plasmid (#sc-400030) were acquired from Santa Cruz Biotechnology, Inc.

Techniques: Control, Expressing, Immunofluorescence, Dissection, Injection

Fig. 10 Palmitoylation stabilizes PPARγ by ZDHHC6 via blocking its lysosomal degradation to promotes lipid biosynthesis-associated CRC development. As a palmitoyltransferase enzyme, ZDHHC6 regulates the synthesis of fatty acids. To be more precise, ZDHHC6 directly attaches palmitoyl groups to PPARγ, a protein that controls the expression of genes. By stabilizing PPARγ and blocking its lysosomal degradation, the palmitoylation mechanism triggers the production of ACLY and subsequently leads to the development of lipid buildup-related CRC carcinogenesis

Journal: Journal of experimental & clinical cancer research : CR

Article Title: Palmitoyltransferase ZDHHC6 promotes colon tumorigenesis by targeting PPARγ-driven lipid biosynthesis via regulating lipidome metabolic reprogramming.

doi: 10.1186/s13046-024-03154-0

Figure Lengend Snippet: Fig. 10 Palmitoylation stabilizes PPARγ by ZDHHC6 via blocking its lysosomal degradation to promotes lipid biosynthesis-associated CRC development. As a palmitoyltransferase enzyme, ZDHHC6 regulates the synthesis of fatty acids. To be more precise, ZDHHC6 directly attaches palmitoyl groups to PPARγ, a protein that controls the expression of genes. By stabilizing PPARγ and blocking its lysosomal degradation, the palmitoylation mechanism triggers the production of ACLY and subsequently leads to the development of lipid buildup-related CRC carcinogenesis

Article Snippet: The readymade CRISPR/Cas9 KO products for human ZDHHC6 plasmid (#sc-418298) and PPARγ plasmid (#sc-400030) were acquired from Santa Cruz Biotechnology, Inc.

Techniques: Blocking Assay, Expressing

Figure 1. Strategy for generating cellular and mouse models of chromosomal translocation via the ESC- and CRISPR/Cas9-based technologies. (a) Strategy for generating mESC models, or mESC-derived cellular models, and mouse models carrying a chromosomal translocation. (b) Strategy for generating site-specific chromosomal translocations in mESCs using the CRISPR/Cas9 system. Cdx2 and Gsk3α sgRNAs will guide Cas9 (blue) onto the indicated target sites located in mouse chromosome 5 (red) and chromosome 7 (green), respectively. DSBs will then be induced in these two sites. By activating NHEJ, DSBs can be repaired and the chromosomal translocation T (5:7) may occur in the designated location, thus generating two translocated chromosomes. To show the precise location and the relative length of the chromosomes, the chromosome graphs from the University of California Santa Cruz (UCSC) Genome Browser were used. Primer chr-short-p1 was designed to anneal to chromosome 7 at the site upstream of the predicted DSB point. Primer chr-short-p2 was designed to anneal downstream of the chromosome 5 DSB point. The size of PCR product is expected to be approximately 930 bp if the translocation occurs. Similarly, primers chr-long-p1 and chr-long-p2 were designed to detect T (5:7) chromosome-long, and the size of the PCR product is approximately 300 bp.

Journal: Scientific reports

Article Title: Induction of site-specific chromosomal translocations in embryonic stem cells by CRISPR/Cas9.

doi: 10.1038/srep21918

Figure Lengend Snippet: Figure 1. Strategy for generating cellular and mouse models of chromosomal translocation via the ESC- and CRISPR/Cas9-based technologies. (a) Strategy for generating mESC models, or mESC-derived cellular models, and mouse models carrying a chromosomal translocation. (b) Strategy for generating site-specific chromosomal translocations in mESCs using the CRISPR/Cas9 system. Cdx2 and Gsk3α sgRNAs will guide Cas9 (blue) onto the indicated target sites located in mouse chromosome 5 (red) and chromosome 7 (green), respectively. DSBs will then be induced in these two sites. By activating NHEJ, DSBs can be repaired and the chromosomal translocation T (5:7) may occur in the designated location, thus generating two translocated chromosomes. To show the precise location and the relative length of the chromosomes, the chromosome graphs from the University of California Santa Cruz (UCSC) Genome Browser were used. Primer chr-short-p1 was designed to anneal to chromosome 7 at the site upstream of the predicted DSB point. Primer chr-short-p2 was designed to anneal downstream of the chromosome 5 DSB point. The size of PCR product is expected to be approximately 930 bp if the translocation occurs. Similarly, primers chr-long-p1 and chr-long-p2 were designed to detect T (5:7) chromosome-long, and the size of the PCR product is approximately 300 bp.

Article Snippet: Human codon optimized Cas9 gene was cloned from hCas9 plasmid (Addgene plasmid 41815) and inserted into the revised piggyBac expression vector with hygromycin resistance.

Techniques: Translocation Assay, CRISPR, Derivative Assay

Figure 2. Translocation between chromosome 5 and chromosome 7 mediated by the CRISPR/Cas9. (a) PCR analysis with chr-short-p1 and chr-short-p2 primers showing the presence of a ~930 bp PCR product in E14-Cas9 mESCs infected with Cdx2 and Gsk3α -sgRNAs. (b) Sequence of the PCR product (in one pMD18-T clone) of the predicted T (5:7) chromosome-short, and one cytosine nucleotide was deleted at the junction point. (c) PCR analysis with chr-long-p1 and chr-long-p2 primers showing the presence of a ~300 bp PCR product in E14-Cas9 mESCs infected with Cdx2 and Gsk3α sgRNAs. (d) Sequencing of the PCR product (in one pMD18-T clone) of the predicted T (5:7) chromosome-long indicates the addition of five nucleotides at the junction point. (e) Fluorescent images of the metaphase chromosomes of mESCs labelled with chromosome 5 (red) and 7 (green) specific probes. Insets zoomed in the two translocated chromosomes. Scale bars represent 10 μ m.

Journal: Scientific reports

Article Title: Induction of site-specific chromosomal translocations in embryonic stem cells by CRISPR/Cas9.

doi: 10.1038/srep21918

Figure Lengend Snippet: Figure 2. Translocation between chromosome 5 and chromosome 7 mediated by the CRISPR/Cas9. (a) PCR analysis with chr-short-p1 and chr-short-p2 primers showing the presence of a ~930 bp PCR product in E14-Cas9 mESCs infected with Cdx2 and Gsk3α -sgRNAs. (b) Sequence of the PCR product (in one pMD18-T clone) of the predicted T (5:7) chromosome-short, and one cytosine nucleotide was deleted at the junction point. (c) PCR analysis with chr-long-p1 and chr-long-p2 primers showing the presence of a ~300 bp PCR product in E14-Cas9 mESCs infected with Cdx2 and Gsk3α sgRNAs. (d) Sequencing of the PCR product (in one pMD18-T clone) of the predicted T (5:7) chromosome-long indicates the addition of five nucleotides at the junction point. (e) Fluorescent images of the metaphase chromosomes of mESCs labelled with chromosome 5 (red) and 7 (green) specific probes. Insets zoomed in the two translocated chromosomes. Scale bars represent 10 μ m.

Article Snippet: Human codon optimized Cas9 gene was cloned from hCas9 plasmid (Addgene plasmid 41815) and inserted into the revised piggyBac expression vector with hygromycin resistance.

Techniques: Translocation Assay, CRISPR, Infection, Sequencing

Fig. 1: Critical features for CAS9/gRNA expression affecting the genome editing efficiency. Implementing CRISPR/Cas9 in a given organism is reliant on a set of interdependent components. These features include the DNA sequence of CAS9, the type and position of the NLS for the nuclear import of Cas9, different gRNA sequences and target loci, the promoter for the expression of the gRNAs, the introduction of processing elements for RNA maturation (ribozymes) as well as transcriptional termination. Elements on the plasmid are not drawn to scale. Cas9 (blue) shown on the right side includes the gRNA (red) and the target DNA for cleavage (yellow). The illustration of the Cas9/gRNA complex was taken from the RCSB PDB (see acknowledgements).

Journal: Journal of biotechnology

Article Title: Combinatorial optimization of CRISPR/Cas9 expression enables precision genome engineering in the methylotrophic yeast Pichia pastoris.

doi: 10.1016/j.jbiotec.2016.03.027

Figure Lengend Snippet: Fig. 1: Critical features for CAS9/gRNA expression affecting the genome editing efficiency. Implementing CRISPR/Cas9 in a given organism is reliant on a set of interdependent components. These features include the DNA sequence of CAS9, the type and position of the NLS for the nuclear import of Cas9, different gRNA sequences and target loci, the promoter for the expression of the gRNAs, the introduction of processing elements for RNA maturation (ribozymes) as well as transcriptional termination. Elements on the plasmid are not drawn to scale. Cas9 (blue) shown on the right side includes the gRNA (red) and the target DNA for cleavage (yellow). The illustration of the Cas9/gRNA complex was taken from the RCSB PDB (see acknowledgements).

Article Snippet: The Homo sapiens codon optimized CAS9 (HsCAS9) and the Streptococcus pyogenes CAS9 (SpCAS9) were amplified from the template vectors p414-TEF1p-Cas9-CYC1t and pMJ806 (both obtained from Addgene, Cambridge, MA, USA) using primer pairs spCas9_fw/spCas9-SV40_rv and hsCas9_fw/ hsCas9-SV40_rv respectively.

Techniques: Expressing, CRISPR, Sequencing, Plasmid Preparation

Fig. 2: High efficiency implementation of CAS9 and gRNA expression in P. pastoris.

Journal: Journal of biotechnology

Article Title: Combinatorial optimization of CRISPR/Cas9 expression enables precision genome engineering in the methylotrophic yeast Pichia pastoris.

doi: 10.1016/j.jbiotec.2016.03.027

Figure Lengend Snippet: Fig. 2: High efficiency implementation of CAS9 and gRNA expression in P. pastoris.

Article Snippet: The Homo sapiens codon optimized CAS9 (HsCAS9) and the Streptococcus pyogenes CAS9 (SpCAS9) were amplified from the template vectors p414-TEF1p-Cas9-CYC1t and pMJ806 (both obtained from Addgene, Cambridge, MA, USA) using primer pairs spCas9_fw/spCas9-SV40_rv and hsCas9_fw/ hsCas9-SV40_rv respectively.

Techniques: Expressing

Fig. 4: The CRISPR/Cas9 system allows high efficiency targeting of various genes (A) and is suitable for multiplexing (B, C) in P. pastoris.

Journal: Journal of biotechnology

Article Title: Combinatorial optimization of CRISPR/Cas9 expression enables precision genome engineering in the methylotrophic yeast Pichia pastoris.

doi: 10.1016/j.jbiotec.2016.03.027

Figure Lengend Snippet: Fig. 4: The CRISPR/Cas9 system allows high efficiency targeting of various genes (A) and is suitable for multiplexing (B, C) in P. pastoris.

Article Snippet: The Homo sapiens codon optimized CAS9 (HsCAS9) and the Streptococcus pyogenes CAS9 (SpCAS9) were amplified from the template vectors p414-TEF1p-Cas9-CYC1t and pMJ806 (both obtained from Addgene, Cambridge, MA, USA) using primer pairs spCas9_fw/spCas9-SV40_rv and hsCas9_fw/ hsCas9-SV40_rv respectively.

Techniques: CRISPR, Multiplexing