grna library construction  (Addgene inc)

Journal: eLife

Article Title: Ex vivo and in vivo CRISPR/Cas9 screenings identify the roles of protein N-glycosylation in regulating T-cell activation and functions

doi: 10.7554/eLife.108724

Figure Lengend Snippet: ( a ) Schematic view of ex vivo CRISPR/Cas9 screening in mouse primary CD8 + T-cells. ( b ) Volcano plot showing results of ex vivo CRISPR/Cas9 genome-wide screenings. The screenings were repeated independently once. The p-values were calculated using the α-robust rank aggregation (α-RRA) algorithm in MAGeCK. ( c ) Verification of candidate genes by individual single gRNAs. The relative expression levels of surface PD-1 protein and PD-1 mRNA were measured by FACS as mean fluorescent intensity (MFI) and RT-qPCR, respectively. The verification assays were biologically replicated twice. ( d ) GSEA of significantly enriched KEGG pathways in genome-wide screening. The enrichment score (ES) and statistical significance were calculated using the clusterProfiler (version 3.12.0) R package.

Article Snippet: A whole-genome CRISPR knockout gRNA library (1000000096) was purchased from Addgene.

Techniques: Ex Vivo, CRISPR, Genome Wide, Expressing, Quantitative RT-PCR

Journal: eLife

Article Title: Ex vivo and in vivo CRISPR/Cas9 screenings identify the roles of protein N-glycosylation in regulating T-cell activation and functions

doi: 10.7554/eLife.108724

Figure Lengend Snippet: ( a ) Schematic view of in vivo CRISPR/Cas9 screening in mouse primary CD8 + T-cells. ( b ) Volcano plot showing results of ex vivo CRISPR/Cas9 screening. The screenings were repeated independently once. The p-values were calculated using the α-RRA algorithm in MAGeCK. ( c ) Volcano plot showing results of in vivo CRISPR/Cas9 screenings. The screenings were repeated independently once. The p-values were calculated using the α-RRA algorithm in MAGeCK.

Article Snippet: A whole-genome CRISPR knockout gRNA library (1000000096) was purchased from Addgene.

Techniques: In Vivo, CRISPR, Ex Vivo

Journal: eLife

Article Title: Ex vivo and in vivo CRISPR/Cas9 screenings identify the roles of protein N-glycosylation in regulating T-cell activation and functions

doi: 10.7554/eLife.108724

Figure Lengend Snippet: ( a ) CRISPR/Cas9 knockout of B4galt1 (sgB4galt1) (sg2) in CD8 + T-cells increases expression of PD-1 before and after co-culture with B16F10-OVA cells. The MFIs of PD-1 were measured by FACS (n=6). The relative mRNA levels of PD-1 were measured by quantitative RT-qPCR (n=6). The p-values were calculated using a two-tailed Student’s t -test. ( b ) The effect of B4galt1 knockout on PD-1 surface expression could be rescued by overexpression of either long- or short-isoform B4galt1 (n=3). The p-values were calculated using a two-tailed Student’s t -test. ( c ) CRISPR/Cas9 knockout of B4galt1 in CD8 + T-cells increases expression of TNFα and IFNγ after co-culture with B16F10-OVA cells. The relative mRNA levels were measured by quantitative RT-qPCR (n=3). The secreted TNFα and IFNγ in medium were measured by ELISA (n=6). The p-values were calculated using a two-tailed Student’s t -test. ( d ) CRISPR/Cas9 knockout of B4galt1 in OT-I CD8 + T-cells increases in vitro specific killing activities on B16F10-OVA cells (n=3). The p-values were calculated using a two-tailed Student’s t -test. ( e ) Schematic view of B4GALT1 knockdown in human NY-ESO-1 TCR-T-cells. ( f ) Knockdown of B4GALT1 in human NY-ESO-1 TCR-T-cells by shRNA increases in vitro killing activities on A375 cells (n=5). The p-values were calculated using a two-tailed Student’s t -test. ( g ) Knockdown of B4GALT1 in human NY-ESO-1 TCR-T-cells increases expression of TNFα and IFNγ after co-culture with A375 cells. The secreted TNFα and IFNγ in medium were measured by ELISA (n=3). The p-values were calculated using a two-tailed Student’s t -test. ( h ) Heatmap demonstrating differentially expressed genes (DEGs) between B4galt1 knockout and control mouse OT-I CD8 + T-cells after co-culture. The genes in TCR signaling pathway are labeled on the left side. ( i ) Volcano plot showing upregulated and downregulated genes (p-value <0.01) in B4galt1 knockout mouse OT-I CD8 + T-cells after co-culture. The genes in TCR signaling pathway are labeled with dark blue and dark red. Top genes and some genes in TCR signaling pathway are annotated. The p-value was calculated using the Wald test, and p.adjust was calculated using Benjamini–Hochberg with the R package DESeq2 (version 1.22.2). ( j ) Bar graph showing KEGG pathways significantly changed in B4galt1 knockout mouse OT-I CD8 + T-cells after co-culture. The p-value was calculated using the clusterProfiler (version 3.12.0) R package. All of these functional effects were biologically replicated at least twice. Data are shown as the mean ± SEM. *p<0.05; **p<0.01; ***p<0.001.

Article Snippet: A whole-genome CRISPR knockout gRNA library (1000000096) was purchased from Addgene.

Techniques: CRISPR, Knock-Out, Expressing, Co-Culture Assay, Quantitative RT-PCR, Two Tailed Test, Over Expression, Enzyme-linked Immunosorbent Assay, In Vitro, Knockdown, shRNA, Control, Labeling, Functional Assay

Journal: eLife

Article Title: Ex vivo and in vivo CRISPR/Cas9 screenings identify the roles of protein N-glycosylation in regulating T-cell activation and functions

doi: 10.7554/eLife.108724

Figure Lengend Snippet: CRISPR/Cas9 knockout of B4GALT1 in hCD19-CAR-T-cells does not affect in vitro killing of Nalm6 target cells (n=3). The killing assays were biologically replicated three times. Data are shown as the mean ± SEM. NS, not significant.

Article Snippet: A whole-genome CRISPR knockout gRNA library (1000000096) was purchased from Addgene.

Techniques: CRISPR, Knock-Out, In Vitro

Journal: eLife

Article Title: Ex vivo and in vivo CRISPR/Cas9 screenings identify the roles of protein N-glycosylation in regulating T-cell activation and functions

doi: 10.7554/eLife.108724

Figure Lengend Snippet: ( a ) Schematic view of B4galt1 functional test in tumor microenvironment. ( b ) CRISPR/Cas9 knockout of B4galt1 in OT-I T-cells enhances growth control of B16F10-OVA tumors in vivo. The p-value was calculated using two-way ANOVA. ( c ) Compared with control OT-I T-cells, the tumors were significantly smaller when B4galt1 knockout OT-I T-cells were transplanted (n=5 for control, n=7 for sgB4galt1). The p-value was calculated using a two-tailed Student’s t -test. ( d ) CRISPR/Cas9 knockout of B4galt1 increases numbers of OT-I T-cells in B16F10-OVA tumors (n=5 for control, n=7 for sgB4galt1). The p-value was calculated using a two-tailed Student’s t -test. The in vivo functional effects were biologically replicated at least twice. Data are shown as the mean ± SEM. *p<0.05; **p<0.01.

Article Snippet: A whole-genome CRISPR knockout gRNA library (1000000096) was purchased from Addgene.

Techniques: Functional Assay, CRISPR, Knock-Out, Control, In Vivo, Two Tailed Test

Journal: bioRxiv

Article Title: Elucidating genes sufficient for viral entry into cells through sequential genome-wide CRISPR activation screens

doi: 10.64898/2026.03.06.710083

Figure Lengend Snippet: (A) Summary of gene deletion vs. gene overexpression approaches. (B) Rationale for the present study. (C) Experimental outline of the present study. (D) HEK293 and Jurkat cells were inoculated with different volumes of Ebola or rabies pseudovirus encoding a cell-surface marker (mCD19t; a truncated mutant of mouse CD19), followed by flow cytometry to determine the percentage of infected cells. This revealed that Jurkat cells are largely refractory to Ebola or rabies pseudovirus entry, relative to HEK293 cells. (E) Construction of a clonal Jurkat cell line, known as “Jurkat C6”, stably expressing a degron-tagged CRISPRa construct ( left ). Jurkat C6 cells were transduced with sgRNA targeting the endogenous human CD19 gene, in the presence or absence of TMP (1 μM) for 3 days, followed by flow cytometry to detect hCD19 expression ( right ). (F) At each of the indicated points of the genome-wide CRISPRa screen, the cell population was challenged with Ebola or rabies pseudovirus, and cell infectivity was evaluated by flow cytometry. Upon successive rounds of the screen, the cell population became progressively more susceptible to infection to either Ebola or rabies pseudovirus, respectively. (G) sgRNA distribution upon successive rounds of the genome-wide CRISPRa screen for Ebola pseudovirus entry. (H) sgRNA distribution upon successive rounds of the genome-wide CRISPRa screen for rabies pseudovirus entry.

Article Snippet: To achieve CRISPRa-mediated overexpression, sgRNA sequences were cloned into the lentiviral sgRNA library backbone plasmid (Addgene, 84832) using the restriction sites BstX1 and BlpI.

Techniques: Over Expression, Marker, Mutagenesis, Flow Cytometry, Infection, Stable Transfection, Expressing, Construct, Transduction, Genome Wide

Journal: bioRxiv

Article Title: Elucidating genes sufficient for viral entry into cells through sequential genome-wide CRISPR activation screens

doi: 10.64898/2026.03.06.710083

Figure Lengend Snippet: A) Plasmids used to pseudotype non-replicating lentiviruses with either Ebola or rabies envelope proteins. EBOV-GP: glycoprotein of Ebola virus, Makona variant. RABV-GP N2C: glycoprotein of rabies virus, N2C variant. B) HEK293 and Jurkat cells were inoculated with different volumes of VSV envelope protein-pseudotyped lentivirus encoding a cell-surface marker (mCD19t; a truncated mutant of mouse CD19), followed by flow cytometry to determine the percentage of infected cells. This served as a positive control to confirm that Jurkat cells and HEK293 cells are both susceptible to VSV pseudovirus entry. C) Jurkat C6 cells were transduced with sgRNA targeting the endogenous human CD19 gene, in the presence of different TMP concentrations (0-4 μM) for 2-3 days, followed by flow cytometry to detect human CD19 expression.

Article Snippet: To achieve CRISPRa-mediated overexpression, sgRNA sequences were cloned into the lentiviral sgRNA library backbone plasmid (Addgene, 84832) using the restriction sites BstX1 and BlpI.

Techniques: Virus, Variant Assay, Marker, Mutagenesis, Flow Cytometry, Infection, Positive Control, Transduction, Expressing

Journal: bioRxiv

Article Title: Elucidating genes sufficient for viral entry into cells through sequential genome-wide CRISPR activation screens

doi: 10.64898/2026.03.06.710083

Figure Lengend Snippet: A) NGFR was expressed in Jurkat C6 cells using CRISPRa, or alternatively, Jurkat cells using cDNA expression. NGFR -expressing or control cells were then inoculated with rabies pseudovirus encoding mCD19t. Flow cytometry was then performed to determine the percentage of infected cells. This revealed that NGFR expression significantly increased the susceptibility of Jurkat cells to rabies pseudovirus infection. As positive controls, flow cytometry was used to confirm successful delivery of the sgRNA construct as part of the CRISPRa workflow (as denoted by BFP expression) and that NGFR was expressed (upon cDNA expression). B) L-SIGN or DC-SIGN were expressed in primary human CD4 + T cells using cDNA expression. L-SIGN -expressing, DC-SIGN -expressing, or control cells were inoculated with rabies pseudovirus encoding hEGFRt (a truncated mutant of human EGFR). Flow cytometry was then performed to determine the percentage of infected cells. This revealed that L-SIGN or DC-SIGN expression significantly increased the susceptibility of Jurkat cells and primary T cells to Ebola pseudovirus infection. Cells expressing the highest levels of L-SIGN and DC-SIGN were preferentially infected by Ebola pseudovirus. C) L-SIGN or DC-SIGN were expressed in primary human CD4 + T cells using cDNA expression, and then L-SIGN -expressing, DC-SIGN -expressing, or control cells were inoculated with GFP -expressing Ebola virus or zsGreen -expressing Sudan virus under BSL4 containment. On days 0, 1, and 2 post-infection, flow cytometry was performed to determine the percentage of infected cells and qPCR was performed on cell culture supernatants to quantify viral genome replication. This revealed that L-SIGN or DC-SIGN expression enabled authentic Ebola and Sudan virus entry into primary human T cells, but viral genome replication was impaired, perhaps reflective of cell-intrinsic restriction factors.

Article Snippet: To achieve CRISPRa-mediated overexpression, sgRNA sequences were cloned into the lentiviral sgRNA library backbone plasmid (Addgene, 84832) using the restriction sites BstX1 and BlpI.

Techniques: Expressing, Control, Flow Cytometry, Infection, Construct, Mutagenesis, Virus, Cell Culture

Journal: Redox Biology

Article Title: CRISPR-based chemogenomic profiling reveals redox vulnerabilities to epigallocatechin-3-gallate and green tea polyphenol extract

doi: 10.1016/j.redox.2026.104047

Figure Lengend Snippet: Genome-wide CRISPR-Cas9 screen identifies genetic determinants of GTE-induced cytotoxicity. (A) Schematic overview of the experimental workflow for the genome-wide CRISPR knockout screen in NALM-6 cells treated with green tea extract (GTE), aimed at identifying genes modulating compound sensitivity. (B) Distribution of CRANKS scores for 19,034 genes following GTE treatment. Negative scores (red arrows, CRANKS ≤ −2) indicate sensitizer genes whose knockout enhances compound sensitivity, while positive scores (green arrows, CRANKS ≥2) represent rescuers whose knockout confers resistance. The 2D scatter plot is aligned with a one-dimensional frequency distribution, illustrating the thresholds used to define top hits. (C) Volcano plot showing CRANKS scores plotted against –log 10 p -values. Genes above the horizontal dashed line marks the p -threshold ( p < 0.05), while those beyond the vertical dashed lines exceed CRANKS thresholds of ±2, identifying 30 filtered genes ( p ≤ 0.01) labeled by gene symbol. Red points represent sensitizers; green points represent rescuers. Listed starred gene (∗) indicate top hits. (D) KEGG pathway enrichment analysis of highest CRANKS-filtered candidates (|CRANKS| ≥ 2; p ≤ 0.01; set including all top hits). Bubble color reflects false discovery rate (FDR), ranging from light green (FDR = 9 × 10 −7 ) to dark blue (FDR = 4 × 10 −3 ), and bubble size corresponds to the number of genes in each pathway. Pathways are ranked by significance on the y-axis. Analysis was performed using the STRING database with whole-genome background, requiring a minimum of two genes per pathway and FDR ≤0.05.

Article Snippet: Briefly, a human NALM-6 (pre-B ALL lymphocytes) clone bearing an integrated inducible Cas9 expression cassette generated by lentiviruses made from pCW-Cas9 (Addgene #50661) was transduced with the genome-wide KO EKO sgRNA library (278,754 different sgRNAs).

Techniques: Genome Wide, CRISPR, Knock-Out, Labeling

Journal: Redox Biology

Article Title: CRISPR-based chemogenomic profiling reveals redox vulnerabilities to epigallocatechin-3-gallate and green tea polyphenol extract

doi: 10.1016/j.redox.2026.104047

Figure Lengend Snippet: EGCG-induced pro-oxidant mechanisms: Insights from genome-wide CRISPR screening. (1) EGCG undergoes auto-oxidation generating reactive oxygen species (ROS) such as hydrogen peroxide (H 2 O 2 ) and quinone intermediates. A genome-wide CRISPR-Cas9 screen identified key genes modulating cellular response to EGCG-induced oxidative stress. (2) Knockouts of glutathione biosynthesis genes ( GCLC , GCLM , GSS ) impair H 2 O 2 detoxification, sensitizing cells to ferroptosis. (3) Peroxisomal genes ( PEX1 , PEX6 , PEX12 , PEX14 ) regulate ROS metabolism; their disruption compromises H 2 O 2 clearance via catalase ( CAT ) and peroxiredoxin-1 ( PRDX1 ). (4) The KEAP1-NRF2 axis controls antioxidant gene expression, inducing enzymes (e.g., CAT, PRDX1, GCLs) that mitigate ROS toxicity. KEAP1 knockout enhances NRF2 signaling and confers resistance. (5) Additional modulators include ABCC1 (drug efflux), SLC7A11 (cysteine transporter) and BAK1 (apoptosis). Sensitizer hits (red labels) indicate knockouts that heighten EGCG toxicity, while resistance hits (green labels) protect against cell death. Color intensity reflects CRANKS scores relative to the highest scoring genes. Together, these findings illustrate how EGCG's pro-oxidant activity can overwhelm cancer cell defenses when redox-regulating pathways are genetically compromised.

Article Snippet: Briefly, a human NALM-6 (pre-B ALL lymphocytes) clone bearing an integrated inducible Cas9 expression cassette generated by lentiviruses made from pCW-Cas9 (Addgene #50661) was transduced with the genome-wide KO EKO sgRNA library (278,754 different sgRNAs).

Techniques: Genome Wide, CRISPR, Disruption, Gene Expression, Knock-Out, Activity Assay