Academic Journal

A method for benchmarking genetic screens reveals a predominant mitochondrial bias

التفاصيل البيبلوغرافية
العنوان: A method for benchmarking genetic screens reveals a predominant mitochondrial bias
المؤلفون: Mahfuzur Rahman, Maximilian Billmann, Michael Costanzo, Michael Aregger, Amy H Y Tong, Katherine Chan, Henry N Ward, Kevin R Brown, Brenda J Andrews, Charles Boone, Jason Moffat, Chad L Myers
المصدر: Molecular Systems Biology, Vol 17, Iss 5, Pp 1-12 (2021)
بيانات النشر: Springer Nature, 2021.
سنة النشر: 2021
المجموعة: LCC:Biology (General)
LCC:Medicine (General)
مصطلحات موضوعية: computational evaluation, CRISPR screens, electron transport chain, Biology (General), QH301-705.5, Medicine (General), R5-920
الوصف: Abstract We present FLEX (Functional evaluation of experimental perturbations), a pipeline that leverages several functional annotation resources to establish reference standards for benchmarking human genome‐wide CRISPR screen data and methods for analyzing them. FLEX provides a quantitative measurement of the functional information captured by a given gene‐pair dataset and a means to explore the diversity of functions captured by the input dataset. We apply FLEX to analyze data from the diverse cell line screens generated by the DepMap project. We identify a predominant mitochondria‐associated signal within co‐essentiality networks derived from these data and explore the basis of this signal. Our analysis and time‐resolved CRISPR screens in a single cell line suggest that the variable phenotypes associated with mitochondria genes across cells may reflect screen dynamics and protein stability effects rather than genetic dependencies. We characterize this functional bias and demonstrate its relevance for interpreting differential hits in any CRISPR screening context. More generally, we demonstrate the utility of the FLEX pipeline for performing robust comparative evaluations of CRISPR screens or methods for processing them.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 20201001
1744-4292
Relation: https://doaj.org/toc/1744-4292
DOI: 10.15252/msb.202010013
URL الوصول: https://doaj.org/article/b77f0c4de34540ad85f7efa1a9046e4b
رقم الانضمام: edsdoj.b77f0c4de34540ad85f7efa1a9046e4b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20201001
17444292
DOI:10.15252/msb.202010013