RPE-1 and Hs27 CUT&RUN, ATAC-seq, and RNA-seq characterization
NIH| MOUSE GENETICS ,
NIH| Tri-Institutional PhD Program in Computational Biology and Medicine ,
NIH| Predictive engineering of cellular transcriptional state ,
NIH| Deciphering the Genomics of Gene Network Regulation of T Cell and Fibroblast States in Autoimmune Inflammation
Southard, Kaden; Ardy, Rico Chandra; Tang, Anran; O'Sullivan, Deirdre; Metzner, Eli; Guruvayurappan, Karthik; Norman, Thomas;
RPE-1 and Hs27 CUT&RUN, ATAC-seq, and RNA-seq characterization
Processed bulk datasets characterizing Hs27 (fibroblast) RPE-1 cell lines from: Comprehensive transcription factor perturbations recapitulate fibroblast transcriptional states Southard KM, Ardy RC, Tang A, O'Sullivan DD, Metzner E, Guruvayurappan K, Norman TM. Comprehensive transcription factor perturbations recapitulate fibroblast transcriptional states. bioRxiv [Preprint]. 2024 Aug 3:2024.07.31.606073. doi: 10.1101/2024.07.31.606073. PMID: 39131349; PMCID: PMC11312553. in press at Nature Genetics Raw fastq files available at SRA: PRJNA1108254 This record contains ATAC-seq, CUT&RUN, and Bulk RNA-seq of Hs27 and RPE-1 cell lines
- Memorial Sloan Kettering Cancer Center United States
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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