Similar Datasets
Project description:The ability to perturb genes in human cells is crucial for elucidating gene function and holds great potential for finding therapeutic targets for diseases such as cancer. To extend the catalog of human core and context- dependent fitness genes, we have developed a high-complexity second-generation genome-scale CRISPR-Cas9 gRNA library and applied it to fitness screens in five human cell lines. Using an improved Bayesian analytical approach, we consistently discover 5-fold more fitness genes than were previously observed. We present a list of 1,580 human core fitness genes and describe their general properties. Moreover, we demonstrate that context-dependent fitness genes accurately recapitulate pathway-specific genetic vulnerabilities induced by known oncogenes and reveal cell-type-specific dependencies for specific receptor tyrosine kinases, even in oncogenic KRAS backgrounds. Thus, rigorous identification of human cell line fitness genes using a high-complexity CRISPR-Cas9 library affords a high-resolution view of the genetic vulnerabilities of a cell. Additional data can be found at tko.ccbr.utoronto.ca RNAseq of five human cell lines with Cas9 knock-ins.
2015-11-25 | E-GEOD-75189 | biostudies-arrayexpress
Project description:The ability to perturb genes in human cells is crucial for elucidating gene function and holds great potential for finding therapeutic targets for diseases such as cancer. To extend the catalog of human core and context- dependent fitness genes, we have developed a high-complexity second-generation genome-scale CRISPR-Cas9 gRNA library and applied it to fitness screens in five human cell lines. Using an improved Bayesian analytical approach, we consistently discover 5-fold more fitness genes than were previously observed. We present a list of 1,580 human core fitness genes and describe their general properties. Moreover, we demonstrate that context-dependent fitness genes accurately recapitulate pathway-specific genetic vulnerabilities induced by known oncogenes and reveal cell-type-specific dependencies for specific receptor tyrosine kinases, even in oncogenic KRAS backgrounds. Thus, rigorous identification of human cell line fitness genes using a high-complexity CRISPR-Cas9 library affords a high-resolution view of the genetic vulnerabilities of a cell. Additional data can be found at tko.ccbr.utoronto.ca
2015-11-25 | GSE75189 | GEO
Project description:CRISPR-Cas9 genome editing is widely used to study gene function, from basic biology to biomedical research. Structural rearrangements are a ubiquitous feature of cancer cells and their impact on the functional consequences of CRISPR-Cas9 gene-editing has not yet been assessed. Utilizing CRISPR-Cas9 knockout screens for 250 cancer cell lines, we demonstrate that targeting structurally rearranged regions, in particular tandem or interspersed amplifications, is highly detrimental to cellular fitness in a gene independent manner. In contrast, amplifications caused by whole chromosomal duplications have little to no impact on fitness. This effect is cell line specific and dependent on the ploidy status. We devise a copy-number ratio metric that substantially improves the detection of gene-independent cell fitness effects in CRISPR-Cas9 screens. Furthermore, we develop a computational tool, called Crispy, to account for these effects on a single sample basis and provide corrected gene fitness effects. Our analysis demonstrates the importance of structural rearrangements in mediating the effect of CRISPR-Cas9-induced DNA damage, with implications for the use of CRISPR-Cas9 gene-editing in cancer cells.
| EGAD00001004124 | EGA
Project description:Acute myeloid leukaemia (AML) continues to have a very high mortality and its treatment hasnot changed for more than 20 years.Here, we propose to apply genomic-wide screens to directly identify therapeutic vulnerabilitiesof AML using AML cells lines with pre-defined somatic mutations. Our studies will be basedon genome-wide CRISPR/CAs9 gRNA screens and will be used to identify drivers of drugresistance to standard chemotherapies.This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
2015-02-03 | E-ERAD-335 | biostudies-arrayexpress
Project description:Genome-wide CRISPR/Cas9 library screen was performed in isogenic cell lines. Three biological replicates were used. Cells were harvested at initiation of screen and at specific time points following cell culture. Using this approach we aim to identify genes specifically important in cell survival in engineered cell lines. Please perform 72, instead of 36, PCR reactions as the screen performed at 200x coverage.
| EGAS00001002253 | EGA
Project description:The expression profile in miR-155-/- FLT3-ITD+ AML is unknown. Using empty vector (EV) or two distinct miR-155 (S3 or S10) lentiviral CRISPR-Cas9 infected FLT3-ITD+ AML cell lines (MV4-11 cells), we performed next generation RNA sequencing to determine the expression profile in these cells dependent on miR-155. We found a number of pathways dysregulated, including STAT5 activation. RNAseq was performed on EV or miR-155 lentiviral CRISPR-Cas9 infected MV4-11 cell lines in triplicate cultures.
2016-07-01 | E-GEOD-71541 | biostudies-arrayexpress
Project description:T-cell dysfunction genes limit antitumor activity and may serve as therapeutic targets. It has not been systematically studied whether there are regulators that either uniquely or broadly contribute to T-cell fitness. We performed genome-scale CRISPR/Cas9 knockout screens in primary CD8 T-cells to uncover genes negatively impacting on fitness upon three modes of stimulation: (1) intense stimulation, triggering activation-induced cell death (AICD); (2) acute stimulation, triggering T-cell expansion; (3) chronic stimulation, causing dysfunction. Besides established regulators, we uncovered genes controlling T-cell fitness either specifically or commonly upon differential stimulation. Dap5 ablation, ranking highly in all three screens, increased translation while enhancing tumor killing. Loss of Icam1-mediated homotypic T-cell clustering amplified T-cell expansion and effector functions after both acute and intense stimulation. Lastly, Ctbp1 inactivation induced functional T-cell persistence exclusively upon chronic stimulation. Our results functionally annotate fitness regulators based on their unique or shared contribution to traits limiting T-cell antitumor activity.
2024-02-16 | PXD043545 | Pride
Project description:MicroRNAs (miRNAs) play an important role in the regulation of gene expression and are often dysregulated in disease. The recent development of the CRISPR-Cas9 gene-editing system, composed of the Cas9 nuclease in complex with a single guide RNA (sgRNA), allows researchers to direct DNA cleavage at a predetermined site and to conduct genome-scale knockout screens. To determine the functional role of miRNAs in cancer, we designed and constructed a library of 7,382 sgRNAs to target 85% of the 1,881 annotated human miRNA stem-loops. We then examined the role of miRNAs in HeLa cell fitness by monitoring the change in frequency of each sgRNA over time. We identified 44 pro-proliferative miRNAs from two replicate experiments, including miR-31, a known cervical cancer overexpressing miRNA that enhances HeLa cell proliferation. We also examined the role of miRNAs in NCI-N87 gastric cancer cells and identified 10 pro-fitness and 10 anti-fitness miRNAs. In both screens, many of the pro-fitness miRNAs identified are overexpressed in tumors cervical tumors for HeLa or gastric tumors for NCI-N87. In summary, we present a CRISPR miRNA-targeted screen which was able to identify both known and novel fitness-associated miRNAs in the HeLa and NCI-N87 cell lines.
2018-06-21 | GSE110784 | GEO
Project description:<p>Due to the paucity of patient derived models in rare cancers, identification of therapeutic targets remains challenging. We developed a patient derived model, CLF-PED-015-T, from a patient with an undifferentiated sarcoma. From this model, we performed pooled RNAi and CRISPR-Cas9 negative selection screens and integrated that with a small molecule screen. Integration of these data identified CDK4 and XPO1 as potential therapeutic targets.</p>
| phs001121 | dbGaP
Project description:CRISPR knockout screens were performed in RPE cells with or without wildtype p53 function to determine the genetic fitness interactions that occur upon induction of LINE-1 protein expression. We also performed RNAseq analysis in wildtype p53 RPE cells expressing LINE-1 or Luciferase control to determine transcriptomic changes that occur upon LINE-1 expression.
2020-01-01 | GSE119999 | GEO