Work

Velocity-Weighted Gene Regulatory Modeling Identifies Drivers of Drug-Induced Plasticity

Year: 2026

Type: conference-paper

Abstract: Drug-tolerant persister (DTP) cells constitute a transient, non-genetic subpopulation that survives otherwise lethal drug exposure. Rather than being genetically invariant, these cells exhibit reversible drug tolerance and serve as a reservoir from which diverse resistance mechanisms can emerge, including genetic relapse and stable phenotypic reprogramming. Non–small cell lung cancer (NSCLC) provides a suitable model system, as DTPs are well-documented contributors to therapeutic resistance in EGFR-mutant disease. Single-cell RNA sequencing enables study of extensive transcriptional heterogeneity during drug response. However, common analytical approaches rely on characterizing downstream transcriptional changes without distinguishing upstream regulatory drivers that orchestrate adaptive state transitions.

Source: ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)

DOI: 10.1145/3807503.3819486

Authors: Manjveekar Prabantu Vasam, Mengbo Wang, Shourya Verma, Luopin Wang, Ananth Grama, Nadia Lanman

Institutions: Purdue University West Lafayette, Purdue University Institute for Cancer Research

Language: English

Topic: Gene Regulatory Network Analysis

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W7171569297

FWCI:

Cites: 25

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Related to: 10