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Quantification of escape from X chromosome inactivation with single-cell omics data reveals heterogeneity across cell types and tissues.
Tomofuji, Yoshihiko; Edahiro, Ryuya; Sonehara, Kyuto; Shirai, Yuya; Kock, Kian Hong; Wang, Qingbo S; Namba, Shinichi; Moody, Jonathan; Ando, Yoshinari; Suzuki, Akari; Yata, Tomohiro; Ogawa, Kotaro; Naito, Tatsuhiko; Namkoong, Ho; Xuan Lin, Quy Xiao; Buyamin, Eliora Violain; Tan, Le Min; Sonthalia, Radhika; Han, Kyung Yeon; Tanaka, Hiromu; Lee, Ho; Okuno, Tatsusada; Liu, Boxiang; Matsuda, Koichi; Fukunaga, Koichi; Mochizuki, Hideki; Park, Woong-Yang; Yamamoto, Kazuhiko; Hon, Chung-Chau; Shin, Jay W; Prabhakar, Shyam; Kumanogoh, Atsushi; Okada, Yukinori.
Affiliation
  • Tomofuji Y; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan; Laboratory for Systems Genetics,
  • Edahiro R; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan; Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate Sch
  • Sonehara K; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan; Laboratory for Systems Genetics,
  • Shirai Y; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan.
  • Kock KH; Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Republic of Singapore.
  • Wang QS; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan; Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, T
  • Namba S; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo 113-8654, Japan.
  • Moody J; Laboratory for Genome Information Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
  • Ando Y; RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
  • Suzuki A; Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
  • Yata T; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Department of Neurology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan.
  • Ogawa K; Department of Neurology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan.
  • Naito T; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
  • Namkoong H; Department of Infectious Diseases, Keio University School of Medicine, Shinanomachi 160-8582, Japan.
  • Xuan Lin QX; Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Republic of Singapore.
  • Buyamin EV; Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Republic of Singapore.
  • Tan LM; Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Republic of Singapore.
  • Sonthalia R; Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Republic of Singapore.
  • Han KY; Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea.
  • Tanaka H; Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Shinanomachi 160-8582, Japan.
  • Lee H; Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Shinanomachi 160-8582, Japan.
  • Okuno T; Department of Neurology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan.
  • Liu B; Department of Pharmacy, National University of Singapore, Singapore 117549, Republic of Singapore.
  • Matsuda K; Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Shirokanedai 108-8639, Japan.
  • Fukunaga K; Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Shinanomachi 160-8582, Japan.
  • Mochizuki H; Department of Neurology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan.
  • Park WY; Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea.
  • Yamamoto K; Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
  • Hon CC; Laboratory for Genome Information Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
  • Shin JW; Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Republic of Singapore; Laboratory for Advanced Genomics Circuit, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
  • Prabhakar S; Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A∗STAR), Singapore 138672, Republic of Singapore; Lee Kong Chian School of Medicine, Singapore 308232, Republic of Singapore; Cancer Science Institute of Singapore, Singapore 117599, Republic of Singapore.
  • Kumanogoh A; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan; Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Departme
  • Okada Y; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan; Laboratory for Systems Genetics,
Cell Genom ; 4(8): 100625, 2024 Aug 14.
Article in En | MEDLINE | ID: mdl-39084228
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.
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: X Chromosome Inactivation / Single-Cell Analysis Limits: Animals / Female / Humans / Male Language: En Journal: Cell Genom Year: 2024 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: X Chromosome Inactivation / Single-Cell Analysis Limits: Animals / Female / Humans / Male Language: En Journal: Cell Genom Year: 2024 Document type: Article Country of publication: United States