crop seq vector Search Results


98
New England Biolabs bsmbi v2 restriction enzyme
Bsmbi V2 Restriction Enzyme, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 98 stars, based on 1 article reviews
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96
Addgene inc crop seq vector
Crop Seq Vector, 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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Average 96 stars, based on 1 article reviews
crop seq vector - by Bioz Stars, 2026-05
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95
Addgene inc crop seq opti vector
Crop Seq Opti Vector, supplied by Addgene inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 95 stars, based on 1 article reviews
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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/result/crop seq sgrna lentiviral expression vector pjr107/product/Addgene inc
Average 93 stars, based on 1 article reviews
crop seq sgrna lentiviral expression vector pjr107 - by Bioz Stars, 2026-05
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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/result/crop seq ms2 plasmid/product/Addgene inc
Average 93 stars, based on 1 article reviews
crop seq ms2 plasmid - by Bioz Stars, 2026-05
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93
Addgene inc crop seq v2 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 .
Crop Seq V2 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/result/crop seq v2 vector/product/Addgene inc
Average 93 stars, based on 1 article reviews
crop seq v2 vector - by Bioz Stars, 2026-05
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98
New England Biolabs r0739s crop seq opti vector

R0739s Crop Seq Opti Vector, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/r0739s crop seq opti vector/product/New England Biolabs
Average 98 stars, based on 1 article reviews
r0739s crop seq opti vector - by Bioz Stars, 2026-05
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93
Addgene inc crop seq car puro vector

Crop Seq Car Puro 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/result/crop seq car puro vector/product/Addgene inc
Average 93 stars, based on 1 article reviews
crop seq car puro vector - by Bioz Stars, 2026-05
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Image Search Results


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

Journal: iScience

Article Title: Generation and characterization of inducible KRAB-dCas9 iPSCs from primates for cross-species CRISPRi

doi: 10.1016/j.isci.2024.110090

Figure Lengend Snippet:

Article Snippet: Briefly, gRNAs were cloned into the BsmBI-digested (New England BioLabs, R0739S) CROP-seq-opti vector by Gibson Assembly using the NEBuilder HiFi DNA Assembly Master Mix (New England BioLabs, E2621L) and NEB Stable Competent E. coli (New England BioLabs, C3040I) were transformed with the assembled plasmids.

Techniques: Virus, Recombinant, Membrane, Lysis, CRISPR, DNA Extraction, Western Blot, Transfection, Bicinchoninic Acid Protein Assay, SYBR Green Assay, Stripping, Software, Microscopy