Author

J. Silber

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· 3

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Research Focus:differential expression· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:gene regulatory network inference· 2 Organism:mouse· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1

Frequent Co-Authors

J. M. Chan· 3 shared N. Rekhtman· 3 shared A. Barlas· 2 shared A. Gopalan· 2 shared A. Jungbluth· 2 shared D. W. Goodrich· 2 shared H. I. Scher· 2 shared I. Linkov· 2 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

J. M. Chan

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Author profile →

3 papers

Recent·Most cited

Single Cell Analysis of Treatment-Resistant Prostate Cancer: Implications of Cell State Changes for Cell Surface Antigen Targeted Therapies

S. Zaidi, J. Park, J. M. Chan, M. Roudier, J. L. Zhao, A. Gopalan, K. M. Wadosky, R. A. Patel, E. Sayar, W. R. Karthaus, D. H. Kates, O. Chaudhary, T. Xu, I. Masilionis, L. Mazutis, , C. Sawyers

The paper uses single-cell analysis to study how cell surface antigen expression changes in treatment-resistant prostate cancer, revealing transcriptional heterogeneity and shared gene regulatory networks between NEPC and SCLC.

bioRxiv · Apr 9, 2024 · PreprintCancer Biology

Multilineage plasticity in prostate cancer through expansion of stem-like luminal epithelial cells with elevated inflammatory signaling

S. Zaidi, J. L. Zhao, J. M. Chan, M. P. Roudier, K. M. Wadosky, A. Gopalan, W. R. Karthaus, J. Choi, K. Lawrence, O. Chaudhary, T. Xu, I. Masilionis, L. Mazutis, R. Chaligne, I. Linkov, , C. L. Sawyers

The paper identifies stem-like luminal cells with elevated JAK/STAT signaling as a source of multilineage plasticity in prostate cancer, offering a therapeutic target.

bioRxiv · Nov 1, 2021 · PreprintCancer Biology

Multi-omic analysis of lung tumors defines pathways activated in neuroendocrine transformation

A. Quintanal-Villalonga, H. Taniguchi, M. A. Hasan, F. Meng, F. Uddin, M. Donoghue, H. H. Won, S. S. Chavan, J. M. Chan, M. Ciampricotti, A. Chow, M. Offin, J. C. Chang, J. Ray-Kirton, J. Egger, , T. Sen

The paper identifies molecular mechanisms of neuroendocrine transformation in lung cancer using multi-omic analysis of tumors and clinical samples.

bioRxiv · Dec 2, 2020 · PreprintCancer Biology