染色质
肺
动力学(音乐)
化学
癌症研究
细胞生物学
医学
物理
生物
内科学
基因
生物化学
声学
作者
Eleanor Valenzi,Minxue Jia,Peter Gerges,Jing‐Yu Fan,Tracy Tabib,Rithika Behera,Yuechen Zhou,John Sembrat,Jishnu Das,Panayiotis V. Benos,Harinder Singh,Robert Lafyatis
标识
DOI:10.1101/2024.10.23.619858
摘要
Pulmonary fibrosis, including systemic sclerosis-associated interstitial lung disease (SSc-ILD), involves myofibroblasts and SPP1hi macrophages as drivers of fibrosis. Single-cell RNA sequencing has delineated fibroblast and macrophages transcriptomes, but limited insight into transcriptional control of profibrotic gene programs. To address this challenge, we analyzed multiomic snATAC/snRNA-seq on explanted SSc-ILD and donor control lungs. The neural network tool ChromBPNet inferred increased TF binding at single base pair resolution to profibrotic genes, including CTHRC1 and ADAM12, in fibroblasts and SPP1 and CCL18 in macrophages. The novel algorithm HALO confirmed AP-1, RUNX, and EGR TF activity controlling profibrotic gene programs and established TF-regulatory element-gene networks. This TF action atlas provides comprehensive insights into the transcriptional regulation of fibroblasts and macrophages in healthy and fibrotic human lungs.
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