Author
S. Hannenhalli
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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2018-2023 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 31 mutual co-author links6 papers
Recent·Most cited
- Cancer BiologybioRxivPreprint
Transitory Schwann Cell Precursor and hybrid states underpin melanoma therapy resistance and metastasis
V. Gopalan, C. W. Wong, R. Leshem…·K. L. Marie
This paper identifies transitory Schwann Cell Precursor and hybrid states in melanoma that correlate with therapy resistance and metastasis, and shows targeting Hdac2 can sensitize tumors to treatment.
DOI 10.1101/2022.10.14.512297 - Cancer BiologybioRxiv
Broad misappropriation of developmental splicing profile by cancer in multiple organs
A. Singh, A. Rajeevan, V. Gopalan…·S. Hannenhalli
The paper shows cancer reactivates embryonic splicing events, linking development and cancer through splicing factors and identifies potential therapeutic targets.
DOI 10.1038/s41467-022-35322-1 - Cancer BiologybioRxivPreprint
Cross-species identification of cancer-resistance associated genes uncovers their relevance to human cancer risk
N. U. Nair, K. Cheng, L. Naddaf…·E. Ruppin
The paper identifies cancer-resistance associated genes across species and finds their relevance to human cancer risk through conservation analysis and functional studies.
- ImmunologybioRxiv
Single-cell profiling of tumor-reactive CD4+ T-cells reveals unexpected transcriptomic diversity
A. Magen, J. Nie, T. Ciucci…·R. Bosselut
The paper uses single-cell RNA sequencing to reveal diverse transcriptomic patterns in CD4+ T cells responding to tumors, highlighting differences from virus responses and potential implications for immunotherapy.
- Cancer BiologybioRxiv
Genome-wide prediction of synthetic rescue mediators of resistance to targeted and immunotherapy
A. Sahu, J. Sang Lee, G. Zhang…·E. Ruppin
The paper predicts synthetic rescue mediators of resistance to targeted and immunotherapy using tumor transcriptomics and survival data from 10,000 TCGA patients, validating predictions through experimental screens.
DOI 10.15252/msb.20188323