Searching journal content for articles similar to Xiang et al. 30 (3): 472.

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  1. ..., depicting the transcriptional landscape of early hematopoiesis (Pellin et al. 2019). P: progenitor, GMP: granulocyte-monocyte progenitor, MP: mononuclear phagocyte, Neu: neutrophil, Lym: lymphoid cell, Mast: Mast cell, MEP: megakaryocyte–erythroid progenitor, ErP: erythroid progenitor, Ery: erythrocyte. (B...
  2. ...of transcription factor binding site co-occurrence. However, rigid arrangement of binding sites is not a common characteristic of the identified CRMs, suggesting more complex or individual grammatical rules. Overall, our analyses provide key insights into critical gene regulatory control during vertebrate endoderm...
  3. ...Interspecies regulatory landscapes and elements revealed by novel joint systematic integration of human and mouse blood cell epis Guanjue Xiang1,2,3, Xi He1, Belinda M. Giardine4, Kathryn J. Isaac5, Dylan J. Taylor5, Rajiv C. McCoy5, Camden Jansen4, Cheryl A. Keller4, Alexander Q. Wixom4, April...
  4. ...contributes to a body of work seeking to reconstruct the cis-regulatory logic of hematopoiesis and erythropoiesis (Ludwig et al. 2019; Liao et al. 2020; Xiang et al. 2020).AP-1 regulates transcription during stress and inflammation (Karin et al. 1997). AP-1 cis-elements have been previously linked...
  5. ...shared by, or unique to, different regenerating cell types remain underinvestigated. Here, we mapped the regulatory landscape of fin regeneration by applying paired snRNA-seq and snATAC-seq on uninjured and regenerating fins. This map delineates the regulatory dynamics of predominant cell populations...
  6. ...of mole-rats, such as the insulin and hypoxia response pathways. Third, we report nonorthologous regulatory elements overlap with lineage-specific repetitive elements and appear to modify metabolic pathways by rewiring of HNF4 and RAR/RXR transcription factor binding sites in mole-rats. These comparative...
  7. ...-type–specific gene expression controlled at the transcriptional level by cis-regulatory elements (CREs). CREs are unevenly distributed across the , giving rise to individual CREs and clusters of CREs (COREs). Technical and biological features hinder CORE identification. We addressed these issues by developing...
  8. ...landscapes could easily distinguish between ages, and machine-learning analysis showed that specific epigenomic states could predict transcriptional changes during aging. Analysis of data sets from all tissues identified recurrent age-related chromatin and transcriptional changes in key processes, including...
  9. ..., including the indirect induction of gene repression. To better understand the KMT2A-AFF1-driven regulatory landscape, we integrated ChIP-seq, patient RNA-seq, and CRISPR essentiality screens to generate a model GRN. This GRN identified several key transcription factors such as RUNX1 that regulate target...
  10. ..., an understanding of DAP association and coordination at such regulatory loci is essential to deciphering how these regions contribute to normal development and disease. In this study, we aggregated publicly available ChIP-seq data from 469 human DAPs assayed in three cell lines and integrated these data...
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