2020
Genome-wide CRISPR Screens Reveal Host Factors Critical for SARS-CoV-2 Infection
Wei J, Alfajaro MM, DeWeirdt PC, Hanna RE, Lu-Culligan WJ, Cai WL, Strine MS, Zhang SM, Graziano VR, Schmitz CO, Chen JS, Mankowski MC, Filler RB, Ravindra NG, Gasque V, de Miguel FJ, Patil A, Chen H, Oguntuyo KY, Abriola L, Surovtseva YV, Orchard RC, Lee B, Lindenbach BD, Politi K, van Dijk D, Kadoch C, Simon MD, Yan Q, Doench JG, Wilen CB. Genome-wide CRISPR Screens Reveal Host Factors Critical for SARS-CoV-2 Infection. Cell 2020, 184: 76-91.e13. PMID: 33147444, PMCID: PMC7574718, DOI: 10.1016/j.cell.2020.10.028.Peer-Reviewed Original ResearchMeSH KeywordsAngiotensin-Converting Enzyme 2AnimalsCell LineChlorocebus aethiopsClustered Regularly Interspaced Short Palindromic RepeatsCoronavirusCoronavirus InfectionsCOVID-19Gene Knockout TechniquesGene Regulatory NetworksGenome-Wide Association StudyHEK293 CellsHMGB1 ProteinHost-Pathogen InteractionsHumansSARS-CoV-2Vero CellsVirus InternalizationConceptsSARS-CoV-2 infectionSARS-CoV-2Vesicular stomatitis virusGenome-wide CRISPR screenSWI/SNF chromatinSARS-CoV-2 host factorsAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionTherapeutic targetHost factorsCoronavirus disease 2019 (COVID-19) pathogenesisSyndrome coronavirus 2 infectionCRISPR screensHost genesGene productsMiddle East respiratory syndrome CoVCoronavirus 2 infectionGenetic hitsHuman cellsSARS-CoV-2 spikeNovel therapeutic targetPotential therapeutic targetVero E6 cellsSARS-CoV-1Small molecule antagonists
2018
Recovering Gene Interactions from Single-Cell Data Using Data Diffusion
van Dijk D, Sharma R, Nainys J, Yim K, Kathail P, Carr AJ, Burdziak C, Moon KR, Chaffer CL, Pattabiraman D, Bierie B, Mazutis L, Wolf G, Krishnaswamy S, Pe’er D. Recovering Gene Interactions from Single-Cell Data Using Data Diffusion. Cell 2018, 174: 716-729.e27. PMID: 29961576, PMCID: PMC6771278, DOI: 10.1016/j.cell.2018.05.061.Peer-Reviewed Original Research
2016
Large-scale mapping of gene regulatory logic reveals context-dependent repression by transcriptional activators
van Dijk D, Sharon E, Lotan-Pompan M, Weinberger A, Segal E, Carey LB. Large-scale mapping of gene regulatory logic reveals context-dependent repression by transcriptional activators. Genome Research 2016, 27: 87-94. PMID: 27965290, PMCID: PMC5204347, DOI: 10.1101/gr.212316.116.Peer-Reviewed Original ResearchConceptsTranscription factorsGene regulatory logicPromoter DNA sequencesGene expression outputActive transcription factorTarget gene expressionGene expression profilesMaximum promoter activityTranscriptional activatorExpression outputRegulatory logicDNA sequencesGene expressionPromoter activityIntracellular signalsExpression profilesTF moleculesActivity of thousandsActivator siteLocal poolAbsolute expressionTF concentrationPromoterKey mediatorExpression