Author

C. H. Chung

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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Cancer Biology· 6

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Approach:statistical model· 5 Organism:human· 4 Approach:deep learning· 3 Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 2 Research Focus:chromatin & epigenetic regulation· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2

Frequent Co-Authors

A. R. A. Anderson· 2 shared S. Chandrasekaran· 2 shared A. Andea· 1 shared A. C. Monovich· 1 shared A. Chen· 1 shared A. Dhawan· 1 shared A. H. Guo· 1 shared A. L. Amelio· 1 shared

Activity by Year

2019-2024 · peak 2/yr

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10 top collaborators · 17 mutual co-author links

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2 shared papersCancer Biology

A. R. A. Anderson

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6 papers

Recent·Most cited

Spatial interactions modulate tumor growth and immune infiltration

S. Marzban, S. Srivastava, S. Kartika, R. Bravo, R. Safriel, A. Zarski, A. R. A. Anderson, C. H. Chung, A. L. Amelio, J. West

This study uses computational modeling to explore how spatial interactions between immune cells and collagen fibers influence tumor growth and immune infiltration.

bioRxiv · Jan 10, 2024Cancer Biology

Using Mathematical Modeling to Distinguish Intrinsic and Acquired Targeted Therapeutic Resistance in Head and Neck Cancer

S. D. Cardenas, C. J. Reznik, R. Ranaweera, F. Song, C. H. Chung, E. J. Fertig, J. L. Gevertz

This study uses mathematical models to determine the timing and mechanism of cetuximab resistance in HNSCC using tumor volume data from xenografts.

bioRxiv · Feb 18, 2022 · PreprintCancer Biology

VALIS: Virtual Alignment of pathoLogy Image Series

C. D. Gatenbee, A.-M. Baker, S. Prabhakaran, R. J. C. Slebos, G. Mandal, E. Mulholland, S. Leedham, J. R. Conejo-Garcia, C. H. Chung, M. Robertson-Tessi, T. A. Graham, A. R. A. Anderson

VALIS automates registration of immunohistochemistry and immunofluorescence images, enabling spatial analysis of whole slide images with low error and minimal computational time.

bioRxiv · Nov 9, 2021 · PreprintCancer Biology

Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease

G. Assante, S. Chandrasekaran, S. Ng, A. Tourna, C. H. Chung, K. A. Isse, C. Filippi, A. Dhawan, M. Liu, S. G. Rozen, M. Hoare, P. Campbell, J. W. O. Ballard, N. Turner, M. J. Morris, , N. A. Youngson

This study shows that acetyl-CoA metabolism in fatty liver disease leads to histone hyperacetylation, DNA damage, and increased mutation risk, contributing to hepatocellular carcinoma.

bioRxiv · Jul 22, 2021Cancer Biology

The deacylase SIRT5 supports melanoma viability by regulating chromatin dynamics

W. Giblin, L. Bringman-Rodenbarger, A. H. Guo, S. Kumar, A. C. Monovich, A. M. Mostafa, M. E. Skinner, M. Azar, A. S. A. Mady, C. H. Chung, N. Kadambi, K.-A. Melong, H.-J. Lee, L. Zhang, P. Sajjakulnukit, , D. B. Lombard

This study identifies SIRT5 as essential for melanoma cell survival and tumor formation, showing it regulates chromatin dynamics and gene expression through histone modifications.

bioRxiv · Sep 7, 2020 · PreprintCancer Biology

Estimation of immune cell content in tumor using single-cell RNA-seq reference data

X. Yu, A. Chen, J. Conejo-Garcia, C. H. Chung, X. Wang

The paper develops a method to estimate immune cell content in tumors using scRNA-seq reference data, showing improved performance over existing methods in distinguishing immune subtypes.

bioRxiv · Jun 6, 2019Cancer Biology