A single-cell atlas of transcribed cis-regulatory elements in the human genome

Jonathan Moody, Tsukasa Kouno, Miki Kojima, Ikuko Koya, Julio Leon, Akari Suzuki, Akira Hasegawa, Taishin Akiyama, Nobuko Akiyama, Masayuki Amagai, Jen-Chien Chang, Ayano Fukushima-Nomura, Mika Handa, Kazunori Hino, Mizuki Hino, Tomoko Hirata, Yuuki Imai, Kazunori Inoue, Hiroshi Kawasaki, Toshihiro Kimura, Tomofumi Kinoshita, Ken-ichiro Kubo, Yasuto Kunii, Fernando Lopez-Redondo, Ri-ichiroh Manabe, Tomohiro Miyai, Satoru Morimoto, Atsuko Nagaoka, Jun Nakajima, Shohei Noma, Yasushi Okazaki, Kokoro Ozaki, Noritaka Saeki, Hiroshi Sakai, Kuniaki Seyama, Youtaro Shibayama, Tomohisa Sujino, Michihira Tagami, Hayato Takahashi, Masaki Takao, Masaru Takeshita, Tsuyoshi Takiuchi, Chikashi Terao, Chi Wai Yip, Satoshi Yoshinaga, Hideyuki Okano, Kazuhiko Yamamoto, Takeya Kasukawa, Yoshinari Ando, Piero Carninci, Jay W. Shin, Chung-Chau Hon
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Abstract

Transcribed cis-regulatory elements (tCREs), such as promoters and enhancers, are fundamental to modulate gene expression and define cell identity. The detailed mapping of tCREs at single-cell resolution is essential for understanding the regulatory mechanisms that govern cellular functions. Prior tCRE catalogs, limited by bulk analysis, have often overlooked cellular heterogeneity. We have constructed a tCRE atlas using single-cell 5-RNA-seq, capturing over 340,000 single-cells from 23 human tissues and annotating more than 175,000 tCREs, substantially enhancing the scope and granularity of existing cis-regulatory element annotations in the human genome. This atlas unveils patterns of gene regulation, revealing connections between broadly expressed promoters and cell type-specific distal tCREs. Assessing trait heritability at single-cell resolution with a novel tCRE module-based approach, we uncovered the nuanced trait-gene regulatory relationships across a continuum of cell populations, offering insights beyond traditional gene-level and bulk-sample analyses. Our study bridges the gap between gene regulation and trait heritability, underscoring the potential of single-cell analysis to elucidate the genetic foundations of complex traits. These insights set the stage for future research to investigate the impact of genetic variations on diseases at the individual level, advancing the understanding of cellular and molecular basis of trait heritability.
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人类基因组中转录的顺式调控元件的单细胞图谱
转录的顺式调控元件(tCREs),如启动子和增强子,是调节基因表达和定义细胞身份的基础。单细胞分辨率下tCREs的详细图谱对于理解控制细胞功能的调控机制至关重要。先前的tCRE目录,受限于批量分析,往往忽略了细胞异质性。我们利用单细胞5-RNA-seq技术构建了tCRE图谱,从23个人体组织中捕获了超过34万个单细胞,并注释了超过17.5万个tCREs,大大提高了人类基因组中现有顺式调控元件注释的范围和粒度。该图谱揭示了基因调控模式,揭示了广泛表达的启动子与细胞类型特异性远端tCREs之间的联系。我们利用一种新颖的基于tCRE模块的方法在单细胞分辨率下评估性状遗传力,揭示了细胞群体连续体中细微的性状-基因调控关系,提供了超越传统基因水平和大样本分析的见解。我们的研究弥补了基因调控和性状遗传力之间的差距,强调了单细胞分析在阐明复杂性状遗传基础方面的潜力。这些见解为未来在个体水平上研究遗传变异对疾病的影响奠定了基础,促进了对性状遗传的细胞和分子基础的理解。
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