Author

Yumeng Zhang

Fudan University

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

Same name, identified by ORCID

Biology Disciplines

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Microbiology· 2 Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Organism:E. coli· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Approach:graph neural network· 1

Frequent Co-Authors

Nan Wu· 2 shared Shanshan Zhang· 2 shared Shuang Liu· 2 shared Wenhong Zhang· 2 shared Ying Zhang· 2 shared Baihua WuiD· 1 shared Bernard M. van den BergiD· 1 shared Cathelijne W. van den BergiD· 1 shared

Activity by Year

2018-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersMicrobiology

Nan Wu

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Same-section spatial metabolo-transcriptomics using Stereo-meta-seq reveals DHA-driven kidney maturation

Roan H van Scheppingen, Baihua Wu, Yumeng Zhang, Sytske Schep, Ulli Winter, Fengxiang Wang, Yilong Zou, Susana M. Chuva de Sousa Lopes, David L. Silver, И. В. Сидоров, Martin A. Giera, Bernard M. van den Berg, Cathelijne W. van den Berg, Lijian Hui, Ton J. Rabelink, Gangqi Wang

This study introduces Stereo-meta-seq to integrate spatial metabolomics and transcriptomics in human kidney development, revealing DHA's role in proximal tubule maturation.

bioRxiv · Jun 16, 2026 · PreprintCell Biology

ACENet: a graph neural network for predicting enzyme pHmin using structure and sequence insights

Shantong Hu, Tong Pan, Jiayu Wang, Huan Yee Koh, Zhikang Wang, Yumeng Zhang, Lingxuan Zhu, Zhuoqian Li, Geoffrey I. Webb, Jiangning Song, Guimin Zhang

ACENet predicts enzyme pHmin using a graph neural network integrating structural and evolutionary features, achieving high accuracy and stability across conditions.

bioRxiv · Mar 14, 2026 · PreprintBioinformatics

Identification of novel genes including rpmF and yjjQ critical for Type II persister formation in Escherichia coli

Shuang Liu, Nan Wu, Shanshan Zhang, Yumeng Zhang, Wenhong Zhang, Ying Zhang

This study identifies novel genes critical for Type II persister formation in E. coli by analyzing transcriptome changes during persister emergence and abundance and validating their roles through knockout and overexpression experiments.

bioRxiv · Apr 30, 2018 · PreprintMicrobiology

Identification of Polynucleotide Phosphorylase (PNPase) in Escherichia coli Involved in Persister Formation

Nan Wu, Yumeng Zhang, Shanshan Zhang, Youhua Yuan, Shuang Liu, Peng Cui, Wenhong Zhang, Ying Zhang

This study identifies PNPase as a key regulator of persister formation in E. coli by negatively regulating the crp operon at the post-transcriptional level.

bioRxiv · Apr 30, 2018 · PreprintMicrobiology