This study identifies La as an Xist-binding protein essential for X chromosome inactivation, showing its role in Xist folding and cloud formation through functional and imaging analyses.

Nucleic Acids Research · Oct 13, 2021Peer-reviewedMolecular Biology

TIPS: Trajectory Inference of Pathway Significance through Pseudotime Comparison for Functional Assessment of single-cell RNAseq Data

Zihan Zheng, X. Qiu, Haiyang Wu, Ling Chang, Xiangyu Tang, Liyun Zou, Jingyi Li, Yuzhang Wu, Jianzhi Zhou, Shan Jiang, Ying Wan, Qingshan Ni

TIPS assesses pathway and transcription factor contributions to developmental trajectories in scRNAseq data through pseudotime comparison and provides visualization tools.

Briefings in Bioinformatics · Mar 18, 2021Peer-reviewedBioinformatics

scSTATseq: Diminishing Technical Dropout Enables Core Transcriptome Recovery and Comprehensive Single-cell Trajectory Mapping

Zihan Zheng, Xiangyu Tang, Xin Qiu, Hao Xu, Haiyang Wu, Haili Yu, Xingzhao Wen, Zhou Peng, Fa Xu, Yiwen Zhou, Qingshan Ni, Jianzhi Zhou, Liyun Zou, Gang Chen, Ying Wan

scSTATseq reduces technical dropout in scRNA-seq, enabling comprehensive transcriptome recovery and trajectory mapping, as demonstrated in osteoclast differentiation analysis.

bioRxiv · Apr 15, 2020 · PreprintGenomics

Streamlined low-input transcriptomics through EASY-RNAseq

Yiwen Zhou, Hao Xu, Haiyang Wu, Haili Yu, Peng Zhou, X. Qiu, Zihan Zheng, Qin Chen, Fa Xu, Gang Li, Jianzhi Zhou, Gang Cheng, Wei He, Liyun Zou, Ying Wan

EASY-RNAseq is a low-input RNAseq protocol that improves gene detection sensitivity and expression distribution in small cell populations.

Journal of Molecular Biology · Sep 3, 2019Peer-reviewedGenomics