FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2561508962> ?p ?o ?g. }

• W2561508962 endingPage "1896.e15" @default.
• W2561508962 startingPage "1883" @default.
• W2561508962 abstract "In multicellular organisms, dedicated regulatory circuits control cell type diversity and responses. The crosstalk and redundancies within these circuits and substantial cellular heterogeneity pose a major research challenge. Here, we present CRISP-seq, an integrated method for massively parallel single-cell RNA sequencing (RNA-seq) and clustered regularly interspaced short palindromic repeats (CRISPR)-pooled screens. We show that profiling the genomic perturbation and transcriptome in the same cell enables us to simultaneously elucidate the function of multiple factors and their interactions. We applied CRISP-seq to probe regulatory circuits of innate immunity. By sampling tens of thousands of perturbed cells in vitro and in mice, we identified interactions and redundancies between developmental and signaling-dependent factors. These include opposing effects of Cebpb and Irf8 in regulating the monocyte/macrophage versus dendritic cell lineages and differential functions for Rela and Stat1/2 in monocyte versus dendritic cell responses to pathogens. This study establishes CRISP-seq as a broadly applicable, comprehensive, and unbiased approach for elucidating mammalian regulatory circuits." @default.
• W2561508962 created "2017-01-06" @default.
• W2561508962 creator A5022598646 @default.
• W2561508962 creator A5030630152 @default.
• W2561508962 creator A5033165700 @default.
• W2561508962 creator A5035202405 @default.
• W2561508962 creator A5041261143 @default.
• W2561508962 creator A5048280875 @default.
• W2561508962 creator A5069917573 @default.
• W2561508962 creator A5083312685 @default.
• W2561508962 creator A5083794799 @default.
• W2561508962 creator A5090035487 @default.
• W2561508962 date "2016-12-01" @default.
• W2561508962 modified "2023-10-18" @default.
• W2561508962 title "Dissecting Immune Circuits by Linking CRISPR-Pooled Screens with Single-Cell RNA-Seq" @default.
• W2561508962 cites W1435110089 @default.
• W2561508962 cites W1497894656 @default.
• W2561508962 cites W1600677671 @default.
• W2561508962 cites W1603534654 @default.
• W2561508962 cites W1631320694 @default.
• W2561508962 cites W1769569140 @default.
• W2561508962 cites W1813068103 @default.
• W2561508962 cites W1971421925 @default.
• W2561508962 cites W1971439989 @default.
• W2561508962 cites W1972476556 @default.
• W2561508962 cites W1979283544 @default.
• W2561508962 cites W1982906491 @default.
• W2561508962 cites W1988391018 @default.
• W2561508962 cites W1993702356 @default.
• W2561508962 cites W1995744610 @default.
• W2561508962 cites W2004824087 @default.
• W2561508962 cites W2007222211 @default.
• W2561508962 cites W2014677321 @default.
• W2561508962 cites W2026592619 @default.
• W2561508962 cites W2027061207 @default.
• W2561508962 cites W2031211461 @default.
• W2561508962 cites W2046737138 @default.
• W2561508962 cites W2050480410 @default.
• W2561508962 cites W2052997401 @default.
• W2561508962 cites W2055620105 @default.
• W2561508962 cites W2064815984 @default.
• W2561508962 cites W2068714945 @default.
• W2561508962 cites W2068881679 @default.
• W2561508962 cites W2070172761 @default.
• W2561508962 cites W2071010503 @default.
• W2561508962 cites W2081810806 @default.
• W2561508962 cites W2089710389 @default.
• W2561508962 cites W2090441668 @default.
• W2561508962 cites W2093522429 @default.
• W2561508962 cites W2096261947 @default.
• W2561508962 cites W2100820895 @default.
• W2561508962 cites W2102278945 @default.
• W2561508962 cites W2106296224 @default.
• W2561508962 cites W2107922733 @default.
• W2561508962 cites W2111435630 @default.
• W2561508962 cites W2111789241 @default.
• W2561508962 cites W2114216755 @default.
• W2561508962 cites W2126811287 @default.
• W2561508962 cites W2127073167 @default.
• W2561508962 cites W2127749855 @default.
• W2561508962 cites W2129905934 @default.
• W2561508962 cites W2131681506 @default.
• W2561508962 cites W2136076059 @default.
• W2561508962 cites W2140258573 @default.
• W2561508962 cites W2146997276 @default.
• W2561508962 cites W2163774748 @default.
• W2561508962 cites W2170039745 @default.
• W2561508962 cites W2174686320 @default.
• W2561508962 cites W2176134716 @default.
• W2561508962 cites W2177432730 @default.
• W2561508962 cites W2178062201 @default.
• W2561508962 cites W2178888844 @default.
• W2561508962 cites W2210414257 @default.
• W2561508962 cites W2474538858 @default.
• W2561508962 cites W2510684933 @default.
• W2561508962 cites W2523369352 @default.
• W2561508962 cites W2528527534 @default.
• W2561508962 cites W2528543174 @default.
• W2561508962 doi "https://doi.org/10.1016/j.cell.2016.11.039" @default.
• W2561508962 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27984734" @default.
• W2561508962 hasPublicationYear "2016" @default.
• W2561508962 type Work @default.
• W2561508962 sameAs 2561508962 @default.
• W2561508962 citedByCount "545" @default.
• W2561508962 countsByYear W25615089622016 @default.
• W2561508962 countsByYear W25615089622017 @default.
• W2561508962 countsByYear W25615089622018 @default.
• W2561508962 countsByYear W25615089622019 @default.
• W2561508962 countsByYear W25615089622020 @default.
• W2561508962 countsByYear W25615089622021 @default.
• W2561508962 countsByYear W25615089622022 @default.
• W2561508962 countsByYear W25615089622023 @default.
• W2561508962 crossrefType "journal-article" @default.
• W2561508962 hasAuthorship W2561508962A5022598646 @default.
• W2561508962 hasAuthorship W2561508962A5030630152 @default.
• W2561508962 hasAuthorship W2561508962A5033165700 @default.
• W2561508962 hasAuthorship W2561508962A5035202405 @default.
• W2561508962 hasAuthorship W2561508962A5041261143 @default.

• next