Author

C.-W. Chang

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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Cell Biology· 3 Bioengineering· 2 Biophysics· 1 Cancer Biology· 1 Ecology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 6 Research Focus:cell type annotation· 5 Organism:human· 5 Research Focus:host-pathogen & immune response· 3 Assay:proteomics· 3 Assay:bulk RNA-seq· 2 Research Focus:clustering· 2 Research Focus:differential expression· 2

Frequent Co-Authors

A. Avendano· 1 shared A. Cousineau· 1 shared A. Himmelbach· 1 shared A. J. Seibel· 1 shared A. Zijlstra· 1 shared B. C.-M. Tan· 1 shared B. J. Wood· 1 shared B. Nabet· 1 shared

Activity by Year

2019-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 3 mutual co-author links

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1 shared paperBioengineering

A. Avendano

Mutual co-authors in cluster

Author profile →

11 papers

Recent·Most cited

Microscopy-guided subcellular proteomic discovery by high-speed ultra-content photo-biotinylation

Y.-D. Chen, C.-W. Chang, C. H. Y. Cheung, H.-J. Chang, Y.-D. Sie, C.-W. Chung, C.-K. Huang, C.-C. Huang, W. M. Chong, Y.-P. Liu, Y.-C. Lin, H.-J. J. Kai, P.-J. Wang, J.-C. Liao

This paper introduces a microscopy-guided proteomics method called optoproteomics to identify subcellular proteins with high spatial precision and sensitivity.

bioRxiv · Dec 27, 2023 · PreprintCell Biology

Automated tumor immunophenotyping predicts clinical benefit from anti-PD-L1 immunotherapy

X. Li, J. Eastham, J. M. Giltnane, W. Zou, A. Zijlstra, E. Tabatsky, R. Banchereau, C.-W. Chang, B. Nabet, N. Patil, L. Molinero, S. Chui, M. Peterson, S. Lau, L. Rangell, , H. Koeppen

This paper develops automated tumor immunophenotyping pipelines to predict clinical benefit from anti-PD-L1 therapy in NSCLC and TNBC patients.

bioRxiv · Apr 3, 2023Pathology

Sensitive and specific miRNA in situ hybridization using partially methylated phosphotriester antisense DNA probes

P.-H. Wang, C.-W. Chang, T. Z. Jia, B. C.-M. Tan, Y.-H. Chi, W.-Y. Chen

This study demonstrates that partially methylated nDNA probes enhance miRNA detection specificity and sensitivity in in situ hybridization compared to conventional DNA probes.

bioRxiv · Jun 12, 2022 · PreprintBioengineering

ECM-derived biophysical cues mediate interstitial flow-induced sprouting angiogenesis

C.-W. Chang, H.-C. Shih, M. Cortes-Medina, P. E. Beshay, A. Avendano, A. J. Seibel, W.-H. Liao, Y.-C. Tung, J. W. Song

This study shows hyaluronan enhances interstitial flow-induced angiogenic sprouting by altering collagen matrix stiffness and pore size.

bioRxiv · Jun 4, 2022 · PreprintBioengineering

Cell culture model system utilizing engineered A549 cells to express high levels of ACE2 and TMPRSS2 for investigating SARS-CoV-2 infection and antivirals

C.-W. Chang, K. M. Parsi, M. Somasundaran, E. Vanderleeden, J. Cruz, A. Cousineau, P. Liu, Q. Li, Y. Wang, R. Maehr, J. P. Wang, R. W. Finberg

This paper develops an engineered A549 cell model overexpressing ACE2 and TMPRSS2 to study SARS-CoV-2 infection and antiviral responses.

bioRxiv · Dec 31, 2021Cell Biology

Physical geography, isolation by distance and environmental variables shape genomic variation of wild barley (Hordeum vulgare L. ssp. spontaneum in the Southern Levant

C.-W. Chang, E. Fridman, M. Mascher, A. Himmelbach, K. J. Schmid

This study examines how geographic and environmental factors influence genomic variation in wild barley, finding that spatial patterns and environmental variables explain a small portion of genetic diversity.

bioRxiv · Sep 15, 2021Evolutionary Biology

A glimpse into the diverse cellular immunity against SARS-CoV-2

L.-J. Chang, C.-W. Chang, Y. Liu, C. Jiao, H. Liu, X. Chen

The paper assesses SARS-CoV-2-specific cellular immunity by testing T cell responses to viral antigens and shows varied immune responses and the potential of antigen stimulation to enhance immunity in non-responders.

bioRxiv · Feb 17, 2021Microbiology

Single-cell atlas of tumor clonal evolution in liver cancer

L. Ma, L. Wang, C.-W. Chang, S. Heinrich, D. Dominguez, M. Forgues, J. Candia, M. O. Hernandez, M. Kelly, Y. Zhao, B. Tran, J. M. Hernandez, J. L. Davis, D. E. Kleiner, B. J. Wood, , X. W. Wang

This study constructs a single-cell atlas of liver cancer tumor clonality using machine learning and identifies osteopontin as a key driver of tumor evolution and immune reprogramming.

bioRxiv · Aug 18, 2020Cancer Biology

Fusion pore expansion and contraction during catecholamine release from endocrine cells

M. B. Jackson, Y.-T. Hsiao, C.-W. Chang

The paper analyzes amperometry data to reveal dynamic changes in fusion pore permeability during catecholamine release from vesicles, showing a post-spike stable pore configuration.

Biophysical Journal · Jul 1, 2020Peer-reviewedBiophysics

Long-term warming weakens stabilizing effects of biodiversity in aquatic ecosystems

C.-W. Chang, H. Ye, T. Miki, E. R. Deyle, S. Souissi, O. Anneville, R. Adrian, Y.-R. Chiang, S. Ichise, M. Kumagai, S.-i. S. Matsuzaki, F.-K. Shiah, J.-T. Wu, C.-h. Hsieh, G. Sugihara

The paper examines how long-term warming reduces the stabilizing role of biodiversity in aquatic ecosystems by analyzing time series data and causal relationships.

bioRxiv · Jan 6, 2020 · PreprintEcology

Fungal Feature Tracker (FFT): A tool for quantitatively characterizing the morphology and growth of filamentous fungi

G. Vidal-Diez de Ulzurrun, T.-Y. Huang, C.-W. Chang, H.-C. Lin, Y.-P. Hsueh

The paper introduces Fungal Feature Tracker (FFT), a software tool for quantitatively analyzing fungal morphology and growth, demonstrating its ability to measure spore characteristics, hyphal features, and specialized structures.

PLOS Computational Biology · Oct 31, 2019Peer-reviewedCell Biology