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  1. ...function and links to practical research tools – Tools oriented specifically toward gene regulation, which allow reliable data mining, such as the excellent Gene Transcription Regulation Database (Kolmykov et al. 2021), the main advantage of which is seamless integration of ChIP-seq, ChIP-exo, DNase...
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  2. ...Haiyue Liu and Lea H. Gregersen Center for Gene Expression, Department of Cellular and Molecular Medicine, University of Copenhagen, 2200 Copenhagen, Denmark Corresponding author: leag@sund.ku.dkAbstractTranscription is regulated at multiple levels, including initiation, elongation, and termination...
  3. ...)-expressing fibro-adipogenic progenitor cells. Single-cell regulatory circuit triad reconstruction (transcription factor, chromatin interaction site, regulated gene) also identifies largely distinct gene regulatory circuits modulated by exercise in the three muscle fiber types and LUM-expressing fibro...
  4. ...aberrations in cell-cycle control. In non-small-cell lung cancer (NSCLC), instability occurs early in tumor growth, resulting in pronounced intratumor heterogeneity, including changes in gene copy number, and whole- doubling (WGD) in ∼75% of tumors. Gene duplication, genetic drift, and selection mediate...
  5. ...integrated analyses of single-cell RNA-seq data from multiple human tissues and organs. Single-cell epigenomic data further indicate that the expression is likely driven by an alternative promoter at the end of the first exon, resulting in at least one shorter transcript (referred to as sXIST) that is active...
  6. ...transcriptional responses; the key advance of our work is the ability to pinpoint the specific changes to chromatin structure that contribute to gene expression and to distinguish direct from indirect regulation via observations of TF occupancy. Unlike previous studies that relied on motif enrichment (Hu et al...
  7. ...differential gene expression for six major cell types intensified at severe ADNC. Integrating peak-to-gene linkages and motif enrichment analyses, we reconstruct transcription factor (TF)–target gene networks across six major brain cell types. By integrating -wide association study (GWAS) loci with cell type...
  8. ...PGE accurately discovers some crucial TF motifs within prioritized cCREs and reveals the different regulatory types of these cCREs.Cell type–specific gene expression patterns are primarily determined through complex interactions between cis-regulatory elements (CREs) and transcriptional factors, playing...
  9. ...-cell capture approaches to successfully measure translatomes at the gene level.In this study, we develop an integrated computational and experimental framework to couple Ribo-STAMP with long-read sequencing to provide simultaneous transcription and translation measurement at mRNA isoform resolution in a single...
  10. ...and Kellis 2017) analysis used validated ChIP-seq data from E12.5 mouse forebrain tissue against 500 bp windows directly upstream of query genes. Transcription factor motif analysis on 5 kb windows directly upstream of the query genes was analyzed using sequence enrichment analysis in the MEME suite (v5...
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