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DNASTAR
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Image Search Results
Journal: Cancer cell
Article Title: Vitamin B6 addiction in acute myeloid leukemia
doi: 10.1016/j.ccell.2019.12.002
Figure Lengend Snippet: KEY RESOURCES TABLE
Article Snippet: Mouse AML cell lines, human AML cell lines, iMEF cell line, 3T3 cell line and human sarcoma cell line were infected with
Techniques: Plasmid Preparation, Recombinant, Mutagenesis, RNA Extraction, Gel Extraction, Clone Assay, Purification, Flow Cytometry, Sequencing, CRISPR, Functional Assay, shRNA, Software
Journal: Cell
Article Title: METTL13 methylation of eEF1A increases translational output to promote tumorigenesis
doi: 10.1016/j.cell.2018.11.038
Figure Lengend Snippet: KEY RESOURCES TABLE
Article Snippet:
Techniques: Virus, Plasmid Preparation, Recombinant, Protease Inhibitor, Sequencing, Modification, Bicinchoninic Acid Protein Assay, Activity Assay, Enzyme-linked Immunosorbent Assay, Staining, Silver Staining, Mutagenesis, Control, Software, Membrane
Xue et al. (2013) . (C) Number of cells expressing a unique sgRNA (blue), two sgRNAs (dark gray), more than two sgRNAs (light gray), or none (pink) in each of the three transduction replicates. The number of cells assigned to a unique sgRNA in each replicate is displayed. (D) Genes ranked by the loadings of PC1 (left) and PC2 (right), highlighting in red previously know ZGA genes (as described in ; see also for gene loading values). (E) PC analysis displaying a scatterplot of the first two PCs (PC1 versus PC2) with cells colored by the expression of the ZGA markers Zscan4c , Zscan4d , Gm8300, and Tmem92 . Marginal distributions of PC1 and PC2 values are displayed as rug plots along the respective axis. (F) Box-whisker plots showing normalized expression levels (log 2 reads per million; RPM) for the top 50 loadings for PC1 (gray) and PC2 (light blue) during preimplantation development (data analyzed from Journal: Cell Systems
Article Title: A Single-Cell Transcriptomics CRISPR-Activation Screen Identifies Epigenetic Regulators of the Zygotic Genome Activation Program
doi: 10.1016/j.cels.2020.06.004
Figure Lengend Snippet: A CRISPRa Screen for ZGA-like Regulators at Single-Cell Resolution (A) Schematic overview of the single-cell CRISPRa screen, highlighting the selection of candidates, lentiviral transduction strategy, and generation of 10x Genomics 3′ scRNA-seq libraries and barcoded sgRNA amplicon libraries. (B) Dot-plot showing normalized expression levels (log 2 reads per million; RPM) of the screening candidates in oocytes, zygotes, two-cell, and four-cell embryos. Data analyzed from
Article Snippet:
Techniques: Selection, Transduction, Amplification, Expressing, Whisker Assay
Deng et al., 2014 ). Differential gene expression was calculated with EdgeR (FDR < 0.05). The number of analyzed genes in each case is depicted in brackets. (F) Representative single optical slices of zygotes immunostained for PATZ1, DPPA2, and SMARCA5, showing single channels and composites with DAPI. Scale bars represent 25 μm. " width="100%" height="100%">
Journal: Cell Systems
Article Title: A Single-Cell Transcriptomics CRISPR-Activation Screen Identifies Epigenetic Regulators of the Zygotic Genome Activation Program
doi: 10.1016/j.cels.2020.06.004
Figure Lengend Snippet: Patz1 , Dppa2 , and Smarca5 Are Potent Inducers of ZGA-like Transcription (A) Schematic representation of a complementary validation approach for Patz1 , Dppa2 , and Smarca5 , using Carhsp1 as a negative control, consisting of cDNA-eGFP transient transfections into mouse ESCs followed by eGFP + fluorescence-activated cell sorting (FACS) and bulk polyA-capture RNA-seq. (B) Heatmap showing normalized gene expression, scaled per gene, of Patz1 , Dppa2 , Smarca5 , and Carhsp1 in bulk RNA-seq libraries after cDNA overexpression of these genes, compared with an eGFP-only transfection. (C) Heatmap showing normalized gene expression, scaled per gene, of the top 50 gene loadings for MOFA+ factor 3 (ZGA-like factor) in bulk RNA-seq libraries for Patz1 , Dppa2 , Smarca5, and Carhsp1 cDNA overexpression. The control is a eGFP-only transfection. (D) Box-whisker plots showing expression of the MERVL repeat family in percentage of total reads measured by bulk RNA-seq after cDNA overexpression of Patz1 (green), Dppa2 (orange), Smarca5 (purple), and Carhsp1 (gray). The control is an eGFP-only transfection (gray). Each dot represents a biological replicate. Statistically significant differences to eGFP-only control are reported as ∗∗∗∗ p value < 0.0001, ∗∗∗ p value < 0.001, ns (non-significant): p value > 0.05; Mann-Whitney two-tailed test. (E) Box-whisker plots showing normalized expression levels (log 2 reads per million; RPM) of differentially upregulated genes by both arrayed CRISPRa and cDNA overexpression of Patz1 (green), Dppa2 (orange), and Smarca5 (purple) as well as a random set of expressed genes (gray) during preimplantation development (data analyzed from
Article Snippet:
Techniques: Biomarker Discovery, Negative Control, Transfection, Fluorescence, FACS, RNA Sequencing, Gene Expression, Over Expression, Control, Whisker Assay, Expressing, MANN-WHITNEY, Two Tailed Test
Xue et al., 2013 ). Data are shown as mean plus standard deviation of biological replicates. (B) Representative single optical slices of zygotes (top row) and two-cell stage embryos (bottom row) immunostained for DPPA2 and SMARCA5, showing single channels and composites. Scale bars represent 20 μm. (C) Box-plots showing Pearson correlation coefficients calculated for co-localization of DPPA2 and SMARCA5 in the pronuclei of 10 zygotes and in the nuclei of 10 two-cell stage embryos. Co-localization values in the two pronuclei in zygotes and nuclei of each blastomere in two-cell embryos were measured separately. DPPA2 and SMARCA5 co-localize in two-cell embryos but not in zygotes ( ∗∗∗∗ p value < 0.0001, Mann-Whitney two-tailed test). (D) Heatmap showing normalized expression, scaled per gene, of downregulated ZGA genes in Smarca5 KO mouse ESCs compared to WT (EdgeR, FDR < 0.05), in WT ESCs, Smarca5 KO ESCs, and Smarca5 KO ESCs expressing a Smarca5 WT protein or a Smarca5 catalytically dead mutant protein (Mut) (data analyzed from Journal: Cell Systems
Article Title: A Single-Cell Transcriptomics CRISPR-Activation Screen Identifies Epigenetic Regulators of the Zygotic Genome Activation Program
doi: 10.1016/j.cels.2020.06.004
Figure Lengend Snippet: Smarca5 Requires Dppa2 to Induce ZGA-like Transcription (A) Normalized expression levels (log 2 reads per kilobase per million; RPKM) of Dppa2 (orange, triangles) and Smarca5 (purple, squares) in oocytes and preimplantation development (data analyzed from
Article Snippet:
Techniques: Expressing, Standard Deviation, MANN-WHITNEY, Two Tailed Test, Mutagenesis, Reverse Transcription, Transfection, Gene Expression, Control
Journal: Cell Systems
Article Title: A Single-Cell Transcriptomics CRISPR-Activation Screen Identifies Epigenetic Regulators of the Zygotic Genome Activation Program
doi: 10.1016/j.cels.2020.06.004
Figure Lengend Snippet:
Article Snippet:
Techniques: Virus, Clone Assay, Recombinant, Transfection, Multiplex Assay, Sequencing, Over Expression, Amplification, Plasmid Preparation, Software
Journal: Developmental cell
Article Title: Phosphorylated Lamin A/C in the nuclear interior binds active enhancers associated with abnormal transcription in progeria
doi: 10.1016/j.devcel.2020.02.011
Figure Lengend Snippet: KEY RESOURCES TABLE
Article Snippet: We cloned Lamin A or Lamin C cDNAs with S22 and S392 mutations or without mutations into the
Techniques: Recombinant, Binding Assay, Sequencing, Next-Generation Sequencing, Cloning, Plasmid Preparation, Software
Journal: iScience
Article Title: Increased CSN5 expression enhances the sensitivity to lenalidomide in multiple myeloma cells
doi: 10.1016/j.isci.2024.111399
Figure Lengend Snippet: Overexpression of CSN5 induces LEN sensitivity (A) Induction of LEN sensitivity in RPMI8226, KMS11, KMS12BM, and MM.1S cells overexpressing FLAG-CSN5. Empty vector (lentiEF1-FLAG-P2A-Blast) was used as a control. We used 100 μM and 1 μM LEN for LEN-resistant and -sensitive cells, respectively. Data represent the mean ± standard deviation ( n = 5). Student's t test. (B) Relationship between LEN sensitivity and the endogenous CSN5 expression levels in the 15 cell lines. Correlations between protein levels and cell viability were evaluated using simple linear regression in GraphPad Prism 8. Statistical significance was set at p < 0.05. (C) Western blots representing the expression of CUL4A and CSN5 in RPMI8226 cells overexpressing WT FLAG-CSN5 or FLAG-CSN5-H138Q. β-actin was used as a loading control. The larger proportion of neddylated CUL4A suggested that CSN5-H138Q decreased deneddylation activity. (D) LEN sensitivity in RPMI8226 cells overexpressing FLAG-CSN5-H138Q. The lentiEF1-FLAG-P2A-Blast vector harboring FLAG-tagged CSN5 or FLAG-tagged CSN5 with H138Q mutation was used for lentiviral infection with RPMI8226. We used 100 μM LEN in this assay. Data represent the mean ± standard deviation ( n = 5). Student's t test. (E) LEN response pathway (CRBN axis) involved in the antitumor mechanism of LEN. (F) Western blots of IKZF1, IKFZ3, IRF4, CSN5 expression levels after treatment with the indicated dose of LEN in FLAG-CSN5- or empty vector-overexpressing RPMI8226 cells. β-Αctin was used as the loading control. The protein bands in western blotting of IKZF1, IKZF3 and IRF4 were quantified using iBright Analysis Software. Band densities of IKZF1, IKZF3 and IRF4 were normalized to that of β-actin. Data represent the mean ( n = 2).
Article Snippet: The lentiEF1-FLAG-P2A-Blast vector was used as an Empty vector.
Techniques: Over Expression, Plasmid Preparation, Control, Standard Deviation, Expressing, Western Blot, Activity Assay, Mutagenesis, Infection, Software
Journal: iScience
Article Title: Increased CSN5 expression enhances the sensitivity to lenalidomide in multiple myeloma cells
doi: 10.1016/j.isci.2024.111399
Figure Lengend Snippet:
Article Snippet: The lentiEF1-FLAG-P2A-Blast vector was used as an Empty vector.
Techniques: Recombinant, Sequencing, Modification, Bicinchoninic Acid Protein Assay, Mass Spectrometry, Western Blot, Software