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

  • Asian Immune Diversity Atlas Network, Japan COVID-19 Task Force, The BioBank Japan Project
  • The University of Osaka
  • RIKEN
  • The University of Tokyo
  • Agency for Science, Technology and Research, Singapore
  • Keio University
  • National University of Singapore
  • Lee Kong Chian School of Medicine

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number100625
JournalCell Genomics
Volume4
Issue number8
DOIs
StatePublished - 14 Aug 2024

Keywords

  • X chromosome
  • sex differences
  • single-cell omics

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