Author

Li‐Yan Xu

Shantou UniversityORCID 0000-0002-1618-4292Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

En‐Min LiiD· 2 shared Lian‐Di Liao· 2 shared Bei-Bei Tong· 1 shared Bing WeniD· 1 shared Bo LiiD· 1 shared Chunquan LiiD· 1 shared Dan-Xia Deng· 1 shared Hua-Yan Zou· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersCancer Biology

En‐Min LiORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

ANLN directly interacts with PCNA to regulate UV induced translesion synthesis

Bei-Bei Tong, Yufei Cao, Bing Wen, Teng Fu, Dan-Xia Deng, Qianhui Yang, Yu-Qiu Wu, Hua-Yan Zou, Lian‐Di Liao, Li‐Yan Xu, En‐Min Li

The paper identifies ANLN's nuclear role in UV-induced translesion synthesis by interacting with PCNA to promote DNA repair and genomic stability.

bioRxiv · Aug 27, 2024 · PreprintCancer Biology

A long non-coding RNA LINC00094 regulates the transcriptional expression of lipid metabolism-related genes as a new member of core regulatory circuitry in esophageal squamous cell carcinoma

Liu Peng, Qiuyu Wang, Jia-Xin Chen, Yang Chen, Rong-Yao Li, Lian‐Di Liao, Wan Lin, Chunquan Li, En-Min Li, Li-Yan Xu

This paper identifies LINC00094 as a long non-coding RNA that forms a core regulatory circuitry with TCF3 and KLF5 to regulate lipid metabolism-related genes in esophageal squamous cell carcinoma.

bioRxiv · Jul 10, 2024 · PreprintCancer Biology

Identification of Cancer-associated Metabolic Vulnerabilities by Modeling Multi-objective Optimality in Metabolism

Ziwei Dai, Liyan Xu, Li‐Yan Xu, Kun Liao, Shuye Deng, Qiyi Chen, Qian Wang, Qian Wang, Shuaishi Gao, Bo Li, Luhua Lai

This study develops a multi-objective metabolic model to identify cancer-associated metabolic vulnerabilities by analyzing Pareto surfaces and validating predictions with experimental data.

Cell Communication and Signaling · Oct 10, 2019Peer-reviewedSystems Biology