Author

Shang Cai

Westlake UniversityORCID 0000-0003-0630-7719Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cancer & tumor microenvironment· 2 Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:genetic perturbation / CRISPR· 1

Frequent Co-Authors

Aaron M. NewmaniD· 2 shared Angera H. KuoiD· 2 shared Dalong QianiD· 2 shared Frederick M. DirbasiD· 2 shared Gunsagar Singh GulatiiD· 2 shared Michael F. ClarkeiD· 2 shared Shaheen S. SikandariD· 2 shared Anjan BharadwajiD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCancer Biology

Aaron M. NewmanORCID

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3 papers

Recent·Most cited

Cancer BiologyScience AdvancesPeer-reviewedSep 9, 2026

BCL11B predetermines a persister state in breast cancer that is reversed by TNFα

Zhen Qi, Gunsagar Singh Gulati, Rachel Gleyzer…·Michael F. Clarke

This study identifies BCL11B as a determinant of chemoresistance in breast cancer, showing it promotes a persister state that TNFα can reverse.

DOI 10.1126/sciadv.aec5436

humanbulk RNA-seq

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Cancer BiologybioRxivPreprintFeb 3, 2026

MtDNA heteroplasmy controls tumor immune reprogramming through mitochondrial translation

Ning Liu, Guoshi Chai, Qunyu Lv…·Shang Cai

The paper shows that mtDNA heteroplasmy regulates tumor progression by modulating mitochondrial translation and immune microenvironment remodeling through the LARS2-S100A8/A9 axis.

DOI 10.64898/2026.01.31.693596

humanDNA methylation

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GenomicsSciencePeer-reviewedJan 23, 2020

Single-cell transcriptional diversity is a hallmark of developmental potential

Gunsagar Singh Gulati, Shaheen S. Sikandar, Daniel J. Wesche…·Aaron M. Newman

The paper introduces CytoTRACE, a method using transcriptional diversity to predict differentiation states from scRNA-seq data, outperforming existing methods and identifying stem cells and tumor-related genes.

1,571 citationstop 1%

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