Investigating transcriptome-wide sex dimorphism by multi-level analysis of single-cell RNA sequencing data in ten mouse cell types

Investigating transcriptome-wide sex dimorphism by multi-level analysis of single-cell RNA sequencing data in ten mouse cell types

Abstract Background It is a long established fact that sex is an important factor that influences the transcriptional regulatory processes of an organism. However, understanding sex-based differences in gene expression has been limited because existing studies typically sequence and analyze bulk tis...

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Bibliographic Details
Main Authors: Tianyuan Lu, Jessica C. Mar
Format: Article
Language:English
Published: BMC 2020-11-01
Series:Biology of Sex Differences
Subjects:
Single cell RNA sequencing
Sex dimorphism
Differential expression
Differential distribution
Cell cluster
Transcription regulatory network
Online Access:http://link.springer.com/article/10.1186/s13293-020-00335-2

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http://link.springer.com/article/10.1186/s13293-020-00335-2

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