Quantification of escape from X chromosome inactivation with single-cell omics datasets reveals heterogeneity across cell types and tissues
Yoshihiko Tomofuji, Ryuya Edahiro, Yuya Shirai, Kian Hong Kock, Kyuto Sonehara, Qingbo S. Wang, Shinichi Namba, Jonathan Moody, Yoshinari Ando, Akari Suzuki, Tomohiro Yata, Kotaro Ogawa, Ho Namkoong, Quy Xiao Xuan Lin, Eliora Violain Buyamin, , Yukinori Okada
The paper introduces scLinaX, a method to quantify X chromosome inactivation escape using scRNA-seq, revealing heterogeneity across cell types and tissues.
bioRxiv · Oct 14, 2023 · PreprintGenomics