perturb seq sgrna vector Search Results


90
Broad Institute Inc gene perturbation platform (gpp) sgrna designer
Gene Perturbation Platform (Gpp) Sgrna Designer, supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/perturb+seq+sgrna+vector/genetic+perturbation+platform+sgrna+designer/pm37949677-256-2-10
Average 90 stars, based on 1 article reviews
gene perturbation platform (gpp) sgrna designer - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

93
Addgene inc hu6 modified direct capture perturb seq vector

Hu6 Modified Direct Capture Perturb Seq Vector, supplied by Addgene inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/perturb+seq+sgrna+vector/pCMV-Tag2B+Flag+BimEL(TA)+(Plasmid+%2323093)/pmc11872138-70-0-10
Average 93 stars, based on 1 article reviews
hu6 modified direct capture perturb seq vector - by Bioz Stars, 2026-09
93/100 stars
  Buy from Supplier

94
Addgene inc guide perturb seq vector
(A) Schematic of the <t>Perturb-seq</t> platform. CBC, cell barcode (index unique to each bead). UMI, unique molecular identifier (index unique to each bead oligo). GBC, <t>guide</t> barcode (index unique to each sgRNA).
Guide Perturb Seq Vector, supplied by Addgene inc, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/perturb+seq+sgrna+vector/pMJ179+(Plasmid+%2385996)/pmc05315571-1143-19-24
Average 94 stars, based on 1 article reviews
guide perturb seq vector - by Bioz Stars, 2026-09
94/100 stars
  Buy from Supplier

93
Addgene inc crop seq sgrna lentiviral expression vector pjr107
a. Schematics of CRISPRi transcription repressor domains and general <t>lentiviral</t> expression construct used for all CRISPRi effectors. b. Experimental design to test effects of stable expression of each CRISPRi effector on growth and transcription in K562 cells. c. Growth defects of effector-expressing cells, measured as the log 2 ratio of mCherry-negative (effector-expressing) to mCherry-positive (not effector-expressing) cells in each well. mCherry levels were measured for 19 days after pooling cells. Data represent mean ± SD from three independent transductions of expression constructs. p -values are from an unpaired two-tailed t-test comparing D19 values for each sample to the D19 value for the “no plasmid” sample. Average percent growth defect per day is the log 2 D19 value divided by the number of days, multiplied by 100 for a percent value. d. Clustered heatmap of correlation of transcript counts from K562 cells expressing indicated CRISPRi effectors or a GFP control. Correlations across samples were calculated using normalized counts (reads per million) for all genes with mean normalized count >1 and then clustered using the Ward variance minimization algorithm implemented in scipy. r 2 is squared Pearson correlation. Data represent three independent transductions of expression constructs. e. Number of differentially expressed genes ( p < 0.05) for cells expressing each effector versus cells expressing GFP only. p -values were calculated using a Wald test and corrected for multiple hypothesis testing as implemented in DeSeq2. See also .
Crop Seq Sgrna Lentiviral Expression Vector Pjr107, supplied by Addgene inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/perturb+seq+sgrna+vector/pBA950+(Plasmid+%23122239)/bio_rxiv__2022__07__13__499814-194-2-16
Average 93 stars, based on 1 article reviews
crop seq sgrna lentiviral expression vector pjr107 - by Bioz Stars, 2026-09
93/100 stars
  Buy from Supplier

93
Addgene inc crop seq ms2 plasmid
a. Schematics of CRISPRi transcription repressor domains and general <t>lentiviral</t> expression construct used for all CRISPRi effectors. b. Experimental design to test effects of stable expression of each CRISPRi effector on growth and transcription in K562 cells. c. Growth defects of effector-expressing cells, measured as the log 2 ratio of mCherry-negative (effector-expressing) to mCherry-positive (not effector-expressing) cells in each well. mCherry levels were measured for 19 days after pooling cells. Data represent mean ± SD from three independent transductions of expression constructs. p -values are from an unpaired two-tailed t-test comparing D19 values for each sample to the D19 value for the “no plasmid” sample. Average percent growth defect per day is the log 2 D19 value divided by the number of days, multiplied by 100 for a percent value. d. Clustered heatmap of correlation of transcript counts from K562 cells expressing indicated CRISPRi effectors or a GFP control. Correlations across samples were calculated using normalized counts (reads per million) for all genes with mean normalized count >1 and then clustered using the Ward variance minimization algorithm implemented in scipy. r 2 is squared Pearson correlation. Data represent three independent transductions of expression constructs. e. Number of differentially expressed genes ( p < 0.05) for cells expressing each effector versus cells expressing GFP only. p -values were calculated using a Wald test and corrected for multiple hypothesis testing as implemented in DeSeq2. See also .
Crop Seq Ms2 Plasmid, supplied by Addgene inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/perturb+seq+sgrna+vector/CROP-sgRNA-MS2+(Plasmid+%23153457)/bio_rxiv__2022__05__17__492172-159-2-12
Average 93 stars, based on 1 article reviews
crop seq ms2 plasmid - by Bioz Stars, 2026-09
93/100 stars
  Buy from Supplier

93
Addgene inc perturb seq sgrna vector backbone
a. Schematics of CRISPRi transcription repressor domains and general <t>lentiviral</t> expression construct used for all CRISPRi effectors. b. Experimental design to test effects of stable expression of each CRISPRi effector on growth and transcription in K562 cells. c. Growth defects of effector-expressing cells, measured as the log 2 ratio of mCherry-negative (effector-expressing) to mCherry-positive (not effector-expressing) cells in each well. mCherry levels were measured for 19 days after pooling cells. Data represent mean ± SD from three independent transductions of expression constructs. p -values are from an unpaired two-tailed t-test comparing D19 values for each sample to the D19 value for the “no plasmid” sample. Average percent growth defect per day is the log 2 D19 value divided by the number of days, multiplied by 100 for a percent value. d. Clustered heatmap of correlation of transcript counts from K562 cells expressing indicated CRISPRi effectors or a GFP control. Correlations across samples were calculated using normalized counts (reads per million) for all genes with mean normalized count >1 and then clustered using the Ward variance minimization algorithm implemented in scipy. r 2 is squared Pearson correlation. Data represent three independent transductions of expression constructs. e. Number of differentially expressed genes ( p < 0.05) for cells expressing each effector versus cells expressing GFP only. p -values were calculated using a Wald test and corrected for multiple hypothesis testing as implemented in DeSeq2. See also .
Perturb Seq Sgrna Vector Backbone, supplied by Addgene inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/perturb+seq+sgrna+vector/pBA904+(Plasmid+%23122238)/bio_rxiv__2022__12__23__521842-323-2-6
Average 93 stars, based on 1 article reviews
perturb seq sgrna vector backbone - by Bioz Stars, 2026-09
93/100 stars
  Buy from Supplier

93
Addgene inc perturb seq vector backbone
a. Schematics of CRISPRi transcription repressor domains and general <t>lentiviral</t> expression construct used for all CRISPRi effectors. b. Experimental design to test effects of stable expression of each CRISPRi effector on growth and transcription in K562 cells. c. Growth defects of effector-expressing cells, measured as the log 2 ratio of mCherry-negative (effector-expressing) to mCherry-positive (not effector-expressing) cells in each well. mCherry levels were measured for 19 days after pooling cells. Data represent mean ± SD from three independent transductions of expression constructs. p -values are from an unpaired two-tailed t-test comparing D19 values for each sample to the D19 value for the “no plasmid” sample. Average percent growth defect per day is the log 2 D19 value divided by the number of days, multiplied by 100 for a percent value. d. Clustered heatmap of correlation of transcript counts from K562 cells expressing indicated CRISPRi effectors or a GFP control. Correlations across samples were calculated using normalized counts (reads per million) for all genes with mean normalized count >1 and then clustered using the Ward variance minimization algorithm implemented in scipy. r 2 is squared Pearson correlation. Data represent three independent transductions of expression constructs. e. Number of differentially expressed genes ( p < 0.05) for cells expressing each effector versus cells expressing GFP only. p -values were calculated using a Wald test and corrected for multiple hypothesis testing as implemented in DeSeq2. See also .
Perturb Seq Vector Backbone, supplied by Addgene inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/perturb+seq+sgrna+vector/pBA439+(Plasmid+%2385967)/bio_rxiv__298349-147-9-13
Average 93 stars, based on 1 article reviews
perturb seq vector backbone - by Bioz Stars, 2026-09
93/100 stars
  Buy from Supplier

90
GenScript corporation pglsara vector3
a. Schematics of CRISPRi transcription repressor domains and general <t>lentiviral</t> expression construct used for all CRISPRi effectors. b. Experimental design to test effects of stable expression of each CRISPRi effector on growth and transcription in K562 cells. c. Growth defects of effector-expressing cells, measured as the log 2 ratio of mCherry-negative (effector-expressing) to mCherry-positive (not effector-expressing) cells in each well. mCherry levels were measured for 19 days after pooling cells. Data represent mean ± SD from three independent transductions of expression constructs. p -values are from an unpaired two-tailed t-test comparing D19 values for each sample to the D19 value for the “no plasmid” sample. Average percent growth defect per day is the log 2 D19 value divided by the number of days, multiplied by 100 for a percent value. d. Clustered heatmap of correlation of transcript counts from K562 cells expressing indicated CRISPRi effectors or a GFP control. Correlations across samples were calculated using normalized counts (reads per million) for all genes with mean normalized count >1 and then clustered using the Ward variance minimization algorithm implemented in scipy. r 2 is squared Pearson correlation. Data represent three independent transductions of expression constructs. e. Number of differentially expressed genes ( p < 0.05) for cells expressing each effector versus cells expressing GFP only. p -values were calculated using a Wald test and corrected for multiple hypothesis testing as implemented in DeSeq2. See also .
Pglsara Vector3, supplied by GenScript corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/perturb+seq+sgrna+vector/pglsara+vector3/pmc11938004__au4c01198_si_001-111-8-37
Average 90 stars, based on 1 article reviews
pglsara vector3 - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

90
Promega ribo m7g cap analog
a. Schematics of CRISPRi transcription repressor domains and general <t>lentiviral</t> expression construct used for all CRISPRi effectors. b. Experimental design to test effects of stable expression of each CRISPRi effector on growth and transcription in K562 cells. c. Growth defects of effector-expressing cells, measured as the log 2 ratio of mCherry-negative (effector-expressing) to mCherry-positive (not effector-expressing) cells in each well. mCherry levels were measured for 19 days after pooling cells. Data represent mean ± SD from three independent transductions of expression constructs. p -values are from an unpaired two-tailed t-test comparing D19 values for each sample to the D19 value for the “no plasmid” sample. Average percent growth defect per day is the log 2 D19 value divided by the number of days, multiplied by 100 for a percent value. d. Clustered heatmap of correlation of transcript counts from K562 cells expressing indicated CRISPRi effectors or a GFP control. Correlations across samples were calculated using normalized counts (reads per million) for all genes with mean normalized count >1 and then clustered using the Ward variance minimization algorithm implemented in scipy. r 2 is squared Pearson correlation. Data represent three independent transductions of expression constructs. e. Number of differentially expressed genes ( p < 0.05) for cells expressing each effector versus cells expressing GFP only. p -values were calculated using a Wald test and corrected for multiple hypothesis testing as implemented in DeSeq2. See also .
Ribo M7g Cap Analog, supplied by Promega, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/perturb+seq+sgrna+vector/ribo+m7g+cap+analog/pmc02267653-129-4-17
Average 90 stars, based on 1 article reviews
ribo m7g cap analog - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

90
Promega pgem vector
a. Schematics of CRISPRi transcription repressor domains and general <t>lentiviral</t> expression construct used for all CRISPRi effectors. b. Experimental design to test effects of stable expression of each CRISPRi effector on growth and transcription in K562 cells. c. Growth defects of effector-expressing cells, measured as the log 2 ratio of mCherry-negative (effector-expressing) to mCherry-positive (not effector-expressing) cells in each well. mCherry levels were measured for 19 days after pooling cells. Data represent mean ± SD from three independent transductions of expression constructs. p -values are from an unpaired two-tailed t-test comparing D19 values for each sample to the D19 value for the “no plasmid” sample. Average percent growth defect per day is the log 2 D19 value divided by the number of days, multiplied by 100 for a percent value. d. Clustered heatmap of correlation of transcript counts from K562 cells expressing indicated CRISPRi effectors or a GFP control. Correlations across samples were calculated using normalized counts (reads per million) for all genes with mean normalized count >1 and then clustered using the Ward variance minimization algorithm implemented in scipy. r 2 is squared Pearson correlation. Data represent three independent transductions of expression constructs. e. Number of differentially expressed genes ( p < 0.05) for cells expressing each effector versus cells expressing GFP only. p -values were calculated using a Wald test and corrected for multiple hypothesis testing as implemented in DeSeq2. See also .
Pgem Vector, supplied by Promega, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/perturb+seq+sgrna+vector/pgem+t+easy/pm10359524-180-21-23
Average 90 stars, based on 1 article reviews
pgem vector - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

90
Promega pbind vector
a. Schematics of CRISPRi transcription repressor domains and general <t>lentiviral</t> expression construct used for all CRISPRi effectors. b. Experimental design to test effects of stable expression of each CRISPRi effector on growth and transcription in K562 cells. c. Growth defects of effector-expressing cells, measured as the log 2 ratio of mCherry-negative (effector-expressing) to mCherry-positive (not effector-expressing) cells in each well. mCherry levels were measured for 19 days after pooling cells. Data represent mean ± SD from three independent transductions of expression constructs. p -values are from an unpaired two-tailed t-test comparing D19 values for each sample to the D19 value for the “no plasmid” sample. Average percent growth defect per day is the log 2 D19 value divided by the number of days, multiplied by 100 for a percent value. d. Clustered heatmap of correlation of transcript counts from K562 cells expressing indicated CRISPRi effectors or a GFP control. Correlations across samples were calculated using normalized counts (reads per million) for all genes with mean normalized count >1 and then clustered using the Ward variance minimization algorithm implemented in scipy. r 2 is squared Pearson correlation. Data represent three independent transductions of expression constructs. e. Number of differentially expressed genes ( p < 0.05) for cells expressing each effector versus cells expressing GFP only. p -values were calculated using a Wald test and corrected for multiple hypothesis testing as implemented in DeSeq2. See also .
Pbind Vector, supplied by Promega, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/perturb+seq+sgrna+vector/pbind/pm18354202-69-22-24
Average 90 stars, based on 1 article reviews
pbind vector - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

90
Promega ptarget vector
a. Schematics of CRISPRi transcription repressor domains and general <t>lentiviral</t> expression construct used for all CRISPRi effectors. b. Experimental design to test effects of stable expression of each CRISPRi effector on growth and transcription in K562 cells. c. Growth defects of effector-expressing cells, measured as the log 2 ratio of mCherry-negative (effector-expressing) to mCherry-positive (not effector-expressing) cells in each well. mCherry levels were measured for 19 days after pooling cells. Data represent mean ± SD from three independent transductions of expression constructs. p -values are from an unpaired two-tailed t-test comparing D19 values for each sample to the D19 value for the “no plasmid” sample. Average percent growth defect per day is the log 2 D19 value divided by the number of days, multiplied by 100 for a percent value. d. Clustered heatmap of correlation of transcript counts from K562 cells expressing indicated CRISPRi effectors or a GFP control. Correlations across samples were calculated using normalized counts (reads per million) for all genes with mean normalized count >1 and then clustered using the Ward variance minimization algorithm implemented in scipy. r 2 is squared Pearson correlation. Data represent three independent transductions of expression constructs. e. Number of differentially expressed genes ( p < 0.05) for cells expressing each effector versus cells expressing GFP only. p -values were calculated using a Wald test and corrected for multiple hypothesis testing as implemented in DeSeq2. See also .
Ptarget Vector, supplied by Promega, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/perturb+seq+sgrna+vector/ptarget+vector/10__1074_slash_jbc__m302291200-173-31-33
Average 90 stars, based on 1 article reviews
ptarget vector - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

Image Search Results


Journal: Cell Genomics

Article Title: Characterization and bioinformatic filtering of ambient gRNAs in single-cell CRISPR screens using CLEANSER

doi: 10.1016/j.xgen.2025.100766

Figure Lengend Snippet:

Article Snippet: hU6 modified direct capture perturb-seq vector , This paper , Addgene Cat#230934.

Techniques: Virus, Recombinant, Purification, Gel Extraction, Staining, Infection, Gene Expression, Modification, Plasmid Preparation, Software

(A) Schematic of the Perturb-seq platform. CBC, cell barcode (index unique to each bead). UMI, unique molecular identifier (index unique to each bead oligo). GBC, guide barcode (index unique to each sgRNA).

Journal: Cell

Article Title: A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response

doi: 10.1016/j.cell.2016.11.048

Figure Lengend Snippet: (A) Schematic of the Perturb-seq platform. CBC, cell barcode (index unique to each bead). UMI, unique molecular identifier (index unique to each bead oligo). GBC, guide barcode (index unique to each sgRNA).

Article Snippet: First, complementary oligonucleotides (Integrated DNA Technologies) containing the protospacer sequence and ligation overhangs were annealed and ligated into BstXI/BlpI-digested “one-guide Perturb-seq vector” backbones (pMJ114, Addgene, Cat#85995; pMJ179, Addgene, Cat#85996; pMJ117, Addgene, Cat#85997).

Techniques:

(A) Schematic of the final three-guide Perturb-seq vector. “PS” denotes protospacer.

Journal: Cell

Article Title: A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response

doi: 10.1016/j.cell.2016.11.048

Figure Lengend Snippet: (A) Schematic of the final three-guide Perturb-seq vector. “PS” denotes protospacer.

Article Snippet: First, complementary oligonucleotides (Integrated DNA Technologies) containing the protospacer sequence and ligation overhangs were annealed and ligated into BstXI/BlpI-digested “one-guide Perturb-seq vector” backbones (pMJ114, Addgene, Cat#85995; pMJ179, Addgene, Cat#85996; pMJ117, Addgene, Cat#85997).

Techniques: Plasmid Preparation

(A) Single-cell analysis of SEC61B-perturbed cells in UPR Perturb-seq experiment. Control cells contain the NegCtrl-3 guide.

Journal: Cell

Article Title: A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response

doi: 10.1016/j.cell.2016.11.048

Figure Lengend Snippet: (A) Single-cell analysis of SEC61B-perturbed cells in UPR Perturb-seq experiment. Control cells contain the NegCtrl-3 guide.

Article Snippet: First, complementary oligonucleotides (Integrated DNA Technologies) containing the protospacer sequence and ligation overhangs were annealed and ligated into BstXI/BlpI-digested “one-guide Perturb-seq vector” backbones (pMJ114, Addgene, Cat#85995; pMJ179, Addgene, Cat#85996; pMJ117, Addgene, Cat#85997).

Techniques: Single-cell Analysis

a. Schematics of CRISPRi transcription repressor domains and general lentiviral expression construct used for all CRISPRi effectors. b. Experimental design to test effects of stable expression of each CRISPRi effector on growth and transcription in K562 cells. c. Growth defects of effector-expressing cells, measured as the log 2 ratio of mCherry-negative (effector-expressing) to mCherry-positive (not effector-expressing) cells in each well. mCherry levels were measured for 19 days after pooling cells. Data represent mean ± SD from three independent transductions of expression constructs. p -values are from an unpaired two-tailed t-test comparing D19 values for each sample to the D19 value for the “no plasmid” sample. Average percent growth defect per day is the log 2 D19 value divided by the number of days, multiplied by 100 for a percent value. d. Clustered heatmap of correlation of transcript counts from K562 cells expressing indicated CRISPRi effectors or a GFP control. Correlations across samples were calculated using normalized counts (reads per million) for all genes with mean normalized count >1 and then clustered using the Ward variance minimization algorithm implemented in scipy. r 2 is squared Pearson correlation. Data represent three independent transductions of expression constructs. e. Number of differentially expressed genes ( p < 0.05) for cells expressing each effector versus cells expressing GFP only. p -values were calculated using a Wald test and corrected for multiple hypothesis testing as implemented in DeSeq2. See also .

Journal: bioRxiv

Article Title: Maximizing CRISPRi efficacy and accessibility with dual-sgRNA libraries and optimal effectors

doi: 10.1101/2022.07.13.499814

Figure Lengend Snippet: a. Schematics of CRISPRi transcription repressor domains and general lentiviral expression construct used for all CRISPRi effectors. b. Experimental design to test effects of stable expression of each CRISPRi effector on growth and transcription in K562 cells. c. Growth defects of effector-expressing cells, measured as the log 2 ratio of mCherry-negative (effector-expressing) to mCherry-positive (not effector-expressing) cells in each well. mCherry levels were measured for 19 days after pooling cells. Data represent mean ± SD from three independent transductions of expression constructs. p -values are from an unpaired two-tailed t-test comparing D19 values for each sample to the D19 value for the “no plasmid” sample. Average percent growth defect per day is the log 2 D19 value divided by the number of days, multiplied by 100 for a percent value. d. Clustered heatmap of correlation of transcript counts from K562 cells expressing indicated CRISPRi effectors or a GFP control. Correlations across samples were calculated using normalized counts (reads per million) for all genes with mean normalized count >1 and then clustered using the Ward variance minimization algorithm implemented in scipy. r 2 is squared Pearson correlation. Data represent three independent transductions of expression constructs. e. Number of differentially expressed genes ( p < 0.05) for cells expressing each effector versus cells expressing GFP only. p -values were calculated using a Wald test and corrected for multiple hypothesis testing as implemented in DeSeq2. See also .

Article Snippet: A modified CROP-seq sgRNA lentiviral expression vector (pJR107) was derived from the parental vector pBA950 ( https://www.addgene.org/122239/ ) by incorporating a GFP fluorescent marker and a UCOE element upstream of the EF1alpha promoter to prevent marker silencing. sgRNA targeting sequences were appended with flanking sequence, BstX1/BlpI overhangs, and PCR adapters.

Techniques: Expressing, Construct, Two Tailed Test, Plasmid Preparation