دورية أكاديمية
أعرض في EDS

Quantifying cancer cell plasticity with gene regulatory networks and single-cell dynamics.

التفاصيل البيبلوغرافية
العنوان: Quantifying cancer cell plasticity with gene regulatory networks and single-cell dynamics.
المؤلفون: Groves SM; Department of Pharmacology, Vanderbilt University, Nashville, TN, United States., Quaranta V; Department of Pharmacology, Vanderbilt University, Nashville, TN, United States.; Department of Biochemistry, Vanderbilt University, Nashville, TN, United States.
المصدر: Frontiers in network physiology [Front Netw Physiol] 2023 Sep 04; Vol. 3, pp. 1225736. Date of Electronic Publication: 2023 Sep 04 (Print Publication: 2023).
نوع المنشور: Journal Article; Review
اللغة: English
بيانات الدورية: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 9918334487406676 Publication Model: eCollection Cited Medium: Internet ISSN: 2674-0109 (Electronic) Linking ISSN: 26740109 NLM ISO Abbreviation: Front Netw Physiol Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: [Lausanne, Switzerland] : Frontiers Media S.A., [2021]-
مستخلص: Phenotypic plasticity of cancer cells can lead to complex cell state dynamics during tumor progression and acquired resistance. Highly plastic stem-like states may be inherently drug-resistant. Moreover, cell state dynamics in response to therapy allow a tumor to evade treatment. In both scenarios, quantifying plasticity is essential for identifying high-plasticity states or elucidating transition paths between states. Currently, methods to quantify plasticity tend to focus on 1) quantification of quasi-potential based on the underlying gene regulatory network dynamics of the system; or 2) inference of cell potency based on trajectory inference or lineage tracing in single-cell dynamics. Here, we explore both of these approaches and associated computational tools. We then discuss implications of each approach to plasticity metrics, and relevance to cancer treatment strategies.
Competing Interests: VQ is an Academic co-Founder and equity holder for Parthenon Therapeutics, Inc. and Duet BioSystems, Inc. The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2023 Groves and Quaranta.)
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معلومات مُعتمدة: U01 CA215845 United States CA NCI NIH HHS; U54 CA217450 United States CA NCI NIH HHS
فهرسة مساهمة: Keywords: ScRNA-seq; cancer; dynamical systems; gene regulatory networks; network physiology; plasticity
تواريخ الأحداث: Date Created: 20230921 Latest Revision: 20231006
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC10507267
DOI: 10.3389/fnetp.2023.1225736
PMID: 37731743
قاعدة البيانات: MEDLINE
الوصف
تدمد:2674-0109
DOI:10.3389/fnetp.2023.1225736