ArticleMolecular systems biology2021
Modeling population size independent tissue epigenomes by ChIL-seq with single thin sections.
Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Role ofZoological research · 2026Article
- Reconstructing epigenomic dynamics through a single-cell multi-epigenome data integration framework.Nature communications · 2025Article
- Defects in the H3t Gene Cause an Increase in Leydig Cells With Impaired Spermatogenesis in Mice.Genes to cells : devoted to molecular & cellular mechanisms · 2025Article
- The miR-6240 target gene Igf2bp3 promotes myoblast fusion by enhancing myomaker mRNA stability.Cellular & molecular biology letters · 2024Article
- Modeling population size independent tissue epigenomes by ChIL-seq with single thin sections.Molecular systems biology · 2021Article
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12 authors.
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Abstract
Recent advances in genome-wide technologies have enabled analyses using small cell numbers of even single cells. However, obtaining tissue epigenomes with cell-type resolution from large organs and tissues still remains challenging, especially when the available material is limited. Here, we present a ChIL-based approach for analyzing the diverse cellular dynamics at the tissue level using high-depth epigenomic data. "ChIL for tissues" allows the analysis of a single tissue section and can reproducibly generate epigenomic profiles from several tissue types, based on the distribution of target epigenomic states, tissue morphology, and number of cells. The proposed method enabled the independent evaluation of changes in cell populations and gene activation in cells from regenerating skeletal muscle tissues, using a statistical model of RNA polymerase II distribution on gene loci. Thus, the integrative analyses performed using ChIL can elucidate in vivo cell-type dynamics of tissues.
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