Author

T. Sheng

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

Biology Disciplines

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Cancer Biology· 4

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Research Focus:gene regulatory network inference· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:deep learning· 2 Research Focus:differential expression· 2

Frequent Co-Authors

A. L. K. Tan· 4 shared K. K. Huang· 4 shared P. Tan· 4 shared X. Ong· 4 shared H. Ma· 3 shared J. B. Y. So· 3 shared R. Sundar· 3 shared S. Srivastava· 3 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersCancer Biology

A. L. K. Tan

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4 papers

Recent·Most cited

Spatially Resolved Tumor Ecosystems and Cell States in Gastric Adenocarcinoma Progression and Evolution

H. Ma, S. Srivastava, X. Ong, S. T. Tay, C. Xu, T. Sheng, S. W. T. Ho, B. S. X. Lian, K. K. Huang, Y. T. Goh, C. R. C. Joseph, J. H. Y. Lum, A. L. K. Tan, Y. Zhang, M. S. W. NG, , P. Tan

This study integrates spatial transcriptomics and single-cell data from gastric cancer samples to reveal tumor ecosystem dynamics, evolutionary trajectories, and immune microenvironment features.

bioRxiv · May 8, 2024Cancer Biology

Spatially resolved niche and tumor microenvironmental alterations in gastric cancer peritoneal metastases

J. J. Zhao, J. C.-A. Ong, S. Srivastava, D. K. A. Chia, H. Ma, K. K. Huang, T. Sheng, K. Ramnarayanan, X. Ong, S. T. Tay, T. Hagihara, A. L. K. Tan, M. C. C. Teo, Q. X. Tan, G. W. X. Ng, , R. Sundar

This study identifies transcriptomic and immune features of gastric cancer peritoneal metastases, highlighting predictive markers and therapeutic targets in the tumor microenvironment.

bioRxiv · Mar 21, 2024Cancer Biology

Spatiotemporal Genomic Profiling of Intestinal Metaplasia Reveals Clonal Dynamics of Gastric Cancer Progression

K. K. Huang, H. Ma, T. Uchihara, T. Sheng, R. H. H. Chong, F. Zhu, S. Srivastava, S. T. Tay, R. Sundar, A. L. K. Tan, X. Ong, M. Lee, S. W. T. Ho, T. Lesluyes, P. Van Loo, , P. Tan

This study analyzes genomic and transcriptomic data from gastric samples to identify driver genes and clonal dynamics in intestinal metaplasia, showing their progression to gastric cancer and the role of microbial dysbiosis.

bioRxiv · Apr 10, 2023Cancer Biology

Integrative Epigenomic and High-Throughput Functional Enhancer Profiling Reveals Determinants of Enhancer Heterogeneity in Gastric Cancer

T. Sheng, S. W. T. Ho, W. F. Ooi, C. Xu, M. Xing, N. Padmanabhan, K. K. Huang, L. Ma, M. Ray, Y. A. Guo, S. N. Leng, C. G. Anene-Nzelu, M. M. Chang, M. Razavi-Mohseni, M. Beer, , P. Tan

The paper identifies enhancer heterogeneity in gastric cancer by integrating epigenomic data and functional assays, linking it to genetic and regulatory factors.

bioRxiv · Jun 9, 2021Cancer Biology