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Journal of Molecular Biology
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Functional Genomics via CRISPR–Cas

Authors: Ford, Kyle; McDonald, Daniella; Mali, Prashant;

Functional Genomics via CRISPR–Cas

Abstract

RNA-guided CRISPR (clustered regularly interspaced short palindromic repeat)-associated Cas proteins have recently emerged as versatile tools to investigate and engineer the genome. The programmability of CRISPR-Cas has proven especially useful for probing genomic function in high-throughput. Facile single-guide RNA library synthesis allows CRISPR-Cas screening to rapidly investigate the functional consequences of genomic, transcriptomic, and epigenomic perturbations. Furthermore, by combining CRISPR-Cas perturbations with downstream single-cell analyses (flow cytometry, expression profiling, etc.), forward screens can generate robust data sets linking genotypes to complex cellular phenotypes. In the following review, we highlight recent advances in CRISPR-Cas genomic screening while outlining protocols and pitfalls associated with screen implementation. Finally, we describe current challenges limiting the utility of CRISPR-Cas screening as well as future research needed to resolve these impediments. As CRISPR-Cas technologies develop, so too will their clinical applications. Looking ahead, patient centric functional screening in primary cells will likely play a greater role in disease management and therapeutic development.

Country
United States
Keywords

Biochemistry & Molecular Biology, RNA, Guide, CRISPR-Cas Systems, Microbiology, Medicinal and Biomolecular Chemistry, Genetics, Humans, Clustered Regularly Interspaced Short Palindromic Repeats, Kinetoplastida, CRISPR-Cas, Gene Editing, Genomic Library, Human Genome, Disease Management, Genomics, Biological Sciences, High-Throughput Screening Assays, CRISPR–Cas, Biochemistry and cell biology, RNA, next-generation sequencing, screens, Biochemistry and Cell Biology, CRISPR-Cas Systems, functional genomics, Guide, Biotechnology

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    76
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
76
Top 1%
Top 10%
Top 1%
Green
bronze