Applications of CRISPR-Cas Technologies to Proteomics

CRISPR-Cas-based genome editing is a revolutionary approach that has provided an unprecedented investigational power for the life sciences. Rapid and efficient, CRISPR-Cas technologies facilitate the generation of complex biological models and at the same time provide the necessary methods required...

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Autores principales: Georgii Dolgalev, Ekaterina Poverennaya
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/028d280c503e41bf80c114bba4a1e987
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spelling oai:doaj.org-article:028d280c503e41bf80c114bba4a1e9872021-11-25T17:42:00ZApplications of CRISPR-Cas Technologies to Proteomics10.3390/genes121117902073-4425https://doaj.org/article/028d280c503e41bf80c114bba4a1e9872021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4425/12/11/1790https://doaj.org/toc/2073-4425CRISPR-Cas-based genome editing is a revolutionary approach that has provided an unprecedented investigational power for the life sciences. Rapid and efficient, CRISPR-Cas technologies facilitate the generation of complex biological models and at the same time provide the necessary methods required to study these models in depth. The field of proteomics has already significantly benefited from leveraging the power of CRISPR-Cas technologies, however, many potential applications of these technologies in the context of proteomics remain unexplored. In this review, we intend to provide an introduction to the CRISPR-Cas technologies and demonstrate how they can be applied to solving proteome-centric questions. To achieve this goal, we begin with the description of the modern suite of CRISPR-Cas-based tools, focusing on the more mature CRISPR-Cas9 system. In the second part of this review, we highlight both established and potential applications of the CRISPR-Cas technologies to proteomics.Georgii DolgalevEkaterina PoverennayaMDPI AGarticleproteomicsCRISPR-Casgenome editinginteractomicsGeneticsQH426-470ENGenes, Vol 12, Iss 1790, p 1790 (2021)
institution DOAJ
collection DOAJ
language EN
topic proteomics
CRISPR-Cas
genome editing
interactomics
Genetics
QH426-470
spellingShingle proteomics
CRISPR-Cas
genome editing
interactomics
Genetics
QH426-470
Georgii Dolgalev
Ekaterina Poverennaya
Applications of CRISPR-Cas Technologies to Proteomics
description CRISPR-Cas-based genome editing is a revolutionary approach that has provided an unprecedented investigational power for the life sciences. Rapid and efficient, CRISPR-Cas technologies facilitate the generation of complex biological models and at the same time provide the necessary methods required to study these models in depth. The field of proteomics has already significantly benefited from leveraging the power of CRISPR-Cas technologies, however, many potential applications of these technologies in the context of proteomics remain unexplored. In this review, we intend to provide an introduction to the CRISPR-Cas technologies and demonstrate how they can be applied to solving proteome-centric questions. To achieve this goal, we begin with the description of the modern suite of CRISPR-Cas-based tools, focusing on the more mature CRISPR-Cas9 system. In the second part of this review, we highlight both established and potential applications of the CRISPR-Cas technologies to proteomics.
format article
author Georgii Dolgalev
Ekaterina Poverennaya
author_facet Georgii Dolgalev
Ekaterina Poverennaya
author_sort Georgii Dolgalev
title Applications of CRISPR-Cas Technologies to Proteomics
title_short Applications of CRISPR-Cas Technologies to Proteomics
title_full Applications of CRISPR-Cas Technologies to Proteomics
title_fullStr Applications of CRISPR-Cas Technologies to Proteomics
title_full_unstemmed Applications of CRISPR-Cas Technologies to Proteomics
title_sort applications of crispr-cas technologies to proteomics
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/028d280c503e41bf80c114bba4a1e987
work_keys_str_mv AT georgiidolgalev applicationsofcrisprcastechnologiestoproteomics
AT ekaterinapoverennaya applicationsofcrisprcastechnologiestoproteomics
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