Author

Lizhi Leng

Central South University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Developmental Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:scATAC-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Fang Chen· 2 shared Ge LiniD· 2 shared Andrés QuinteroiD· 1 shared Carl HerrmanniD· 1 shared Chuanyu LiuiD· 1 shared Dongsheng CheniD· 1 shared Fang Fang· 1 shared Guibo LiiD· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersDevelopmental Biology

Fang Chen

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2 papers

Recent·Most cited

Single-cell RNA-seq reveals distinct dynamic behavior of sex chromosomes during early human embryogenesis

Qing Zhou, Taifu Wang, Lizhi Leng, Wei Zheng, Jinrong Huang, Fang Fang, Ling Mei Yang, Jian Wang, Huanming Yang, Fang Chen, Ge Lin, Wen-Jing Wang, Karsten Kristiansen

The paper analyzes single-cell RNA-seq data from human embryos to compare gene expression between males and females, identifying differences in sex chromosome activation and dosage compensation during early development.

Molecular Reproduction and Development · May 15, 2019Peer-reviewedDevelopmental Biology

Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity

Longqi Liu, Chuanyu Liu, Andrés Quintero, Liang Li Wu, Yue Yuan, Mingyue Wang, Mengnan Cheng, Lizhi Leng, Liqin Xu, Guoyi Dong, Rui Li, Yang Liu, Xiaoyu Wei, Jiangshan Xu, Xiaowei Chen, , Xun Xu

The paper introduces scCAT-seq, a method to simultaneously assay chromatin accessibility and transcriptome in single cells, and demonstrates its application in human pre-implantation embryos to reveal regulatory heterogeneity.

Nature Communications · Jan 28, 2019Peer-reviewedGenomics