دورية أكاديمية

Using birth-death processes to infer tumor subpopulation structure from live-cell imaging drug screening data.

التفاصيل البيبلوغرافية
العنوان: Using birth-death processes to infer tumor subpopulation structure from live-cell imaging drug screening data.
المؤلفون: Chenyu Wu, Einar Bjarki Gunnarsson, Even Moa Myklebust, Alvaro Köhn-Luque, Dagim Shiferaw Tadele, Jorrit Martijn Enserink, Arnoldo Frigessi, Jasmine Foo, Kevin Leder
المصدر: PLoS Computational Biology, Vol 20, Iss 3, p e1011888 (2024)
بيانات النشر: Public Library of Science (PLoS), 2024.
سنة النشر: 2024
المجموعة: LCC:Biology (General)
مصطلحات موضوعية: Biology (General), QH301-705.5
الوصف: Tumor heterogeneity is a complex and widely recognized trait that poses significant challenges in developing effective cancer therapies. In particular, many tumors harbor a variety of subpopulations with distinct therapeutic response characteristics. Characterizing this heterogeneity by determining the subpopulation structure within a tumor enables more precise and successful treatment strategies. In our prior work, we developed PhenoPop, a computational framework for unravelling the drug-response subpopulation structure within a tumor from bulk high-throughput drug screening data. However, the deterministic nature of the underlying models driving PhenoPop restricts the model fit and the information it can extract from the data. As an advancement, we propose a stochastic model based on the linear birth-death process to address this limitation. Our model can formulate a dynamic variance along the horizon of the experiment so that the model uses more information from the data to provide a more robust estimation. In addition, the newly proposed model can be readily adapted to situations where the experimental data exhibits a positive time correlation. We test our model on simulated data (in silico) and experimental data (in vitro), which supports our argument about its advantages.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1553-734X
1553-7358
Relation: https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011888&type=printable; https://doaj.org/toc/1553-734X; https://doaj.org/toc/1553-7358
DOI: 10.1371/journal.pcbi.1011888&type=printable
DOI: 10.1371/journal.pcbi.1011888
URL الوصول: https://doaj.org/article/f48afe6da14a48f7b2fe18e20987a4df
رقم الأكسشن: edsdoj.f48afe6da14a48f7b2fe18e20987a4df
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:1553734X
15537358
DOI:10.1371/journal.pcbi.1011888&type=printable