Quantification of escape from X chromosome inactivation with single-cell omics data reveals heterogeneity across cell types and tissues

利用单细胞组学数据对 X 染色体失活逃逸进行量化,揭示了不同细胞类型和组织的异质性

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作者:Yoshihiko Tomofuji, Ryuya Edahiro, Kyuto Sonehara, Yuya Shirai, Kian Hong Kock, Qingbo S Wang, Shinichi Namba, Jonathan Moody, Yoshinari Ando, Akari Suzuki, Tomohiro Yata, Kotaro Ogawa, Tatsuhiko Naito, Ho Namkoong, Quy Xiao Xuan Lin, Eliora Violain Buyamin, Le Min Tan, Radhika Sonthalia, Kyung Yeon

Abstract

Several X-linked genes escape from X chromosome inactivation (XCI), while differences in escape across cell types and tissues are still poorly characterized. Here, we developed scLinaX for directly quantifying relative gene expression from the inactivated X chromosome with droplet-based single-cell RNA sequencing (scRNA-seq) data. The scLinaX and differentially expressed gene analyses with large-scale blood scRNA-seq datasets consistently identified the stronger escape in lymphocytes than in myeloid cells. An extension of scLinaX to a 10x multiome dataset (scLinaX-multi) suggested a stronger escape in lymphocytes than in myeloid cells at the chromatin-accessibility level. The scLinaX analysis of human multiple-organ scRNA-seq datasets also identified the relatively strong degree of escape from XCI in lymphoid tissues and lymphocytes. Finally, effect size comparisons of genome-wide association studies between sexes suggested the underlying impact of escape on the genotype-phenotype association. Overall, scLinaX and the quantified escape catalog identified the heterogeneity of escape across cell types and tissues.

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