Author

Hui Jiang

BGI Group (China)

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

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Biology Disciplines

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Cancer Biology· 1 Genetics· 1 Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:eQTL / molecular QTL mapping· 1

Frequent Co-Authors

A. Ari HakimiiD· 1 shared Ahmed MohamediD· 1 shared Alexander S. LeonardiD· 1 shared Andrea López SanmigueliD· 1 shared Andrei Alexeev· 1 shared Ao CheniD· 1 shared Bingjie LiiD· 1 shared Bingjin LiniD· 1 shared

Activity by Year

2019-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperCancer Biology

A. Ari HakimiORCID

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Author profile →

4 papers

Recent·Most cited

Developmental reversion underlies resistance to immune checkpoint blockade in kidney cancer

Dig Vijay Kumar Yarlagadda, Zhenghan Wang, Hui Jiang, Lynda H. Vuong, Andrea López Sanmiguel, Ching-Yeuh Yang, Ritesh R. Kotecha, Ying‐Bei Chen, A. Ari Hakimi, Christina S. Leslie, Joan Massagué

This study identifies developmental reversion to embryonic nephrogenesis in kidney cancer cells as a mechanism of resistance to immune checkpoint inhibitors.

bioRxiv · Aug 6, 2026 · PreprintCancer Biology

The enhanced multi-tissue atlas of regulatory effects in cattle

Houcheng Li, Huicong Zhang, Di Zhu, Pengju Zhao, Zhenyu Wei, Jiaqi Lu, Mian Gong, Qi Zhang, Weijie Zheng, Xia Liu, Dailu Guan, Jinyan Teng, Qing Lin, Yongjie Tang, Yahui Gao, , Lingzhao Fang

The paper presents CattleGTEx, a resource characterizing regulatory effects in cattle, resolving GWAS signals and providing insights into adaptive evolution and selection.

bioRxiv · Mar 21, 2026 · PreprintGenetics

Concurrent lipidomics and proteomics on malignant plasma cells from multiple myeloma patients: Probing the lipid metabolome

Ahmed Mohamed, Joel T Collins, Hui Jiang, Jeffrey Molendijk, Thomas M. Stoll, Federico Tesio Torta, Markus Rene Wenk, Robert J Bird, Paula V. Marlton, Peter N. Mollee, Kate Ann Markey, Michelle Mei Chih Hill

This study performs lipidomics and proteomics on plasma cells from multiple myeloma patients to identify metabolic changes associated with relapse.

PLoS ONE · Jan 8, 2020Peer-reviewedSystems Biology

Advanced Whole Genome Sequencing Using an Entirely PCR-free Massively Parallel Sequencing Workflow

Hanjie Shen, Pengjuan Liu, Zhanqing Li, Fang Chen, Hui Jiang, Shiming Shi, Yang Xi, Qiaoling Li, Xiaojue Wang, Jing Zhao, Xinming Liang, Yinlong Xie, Lin Wang, Wenlan Tian, Tam Berntsen, , Radoje Drmanac

This paper demonstrates that PCR-free whole genome sequencing using the DNBSEQ platform and machine learning variant calling significantly reduces InDel errors and improves variant calling performance.

bioRxiv · Dec 20, 2019 · PreprintGenomics