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Multiparametric and accurate functional analysis of genetic sequence variants using CRISPR-Select.

Publication ,  Journal Article
Niu, Y; Ferreira Azevedo, CA; Li, X; Kamali, E; Haagen Nielsen, O; Storgaard Sørensen, C; Frödin, M
Published in: Nature genetics
December 2022

Determining the functional role of thousands of genetic sequence variants (mutations) associated with genetic diseases is a major challenge. Here we present clustered regularly interspaced short palindromic repeat (CRISPR)-SelectTIME, CRISPR-SelectSPACE and CRISPR-SelectSTATE, a set of flexible knock-in assays that introduce a genetic variant in a cell population and track its absolute frequencies relative to an internal, neutral control mutation as a function of time, space or a cell state measurable by flow cytometry. Phenotypically, CRISPR-Select can thereby determine, for example, pathogenicity, drug responsiveness/resistance or in vivo tumor promotion by a specific variant. Mechanistically, CRISPR-Select can dissect how the variant elicits the phenotype by causally linking the variant to motility/invasiveness or any cell state or biochemical process with a flow cytometry marker. The method is applicable to organoids, nontransformed or cancer cell lines. It is accurate, quantitative, fast and simple and works in single-well or 96-well higher throughput format. CRISPR-Select provides a versatile functional variant assay for research, diagnostics and drug development for genetic disorders.

Duke Scholars

Published In

Nature genetics

DOI

EISSN

1546-1718

ISSN

1061-4036

Publication Date

December 2022

Volume

54

Issue

12

Start / End Page

1983 / 1993

Related Subject Headings

  • Developmental Biology
  • Clustered Regularly Interspaced Short Palindromic Repeats
  • 3105 Genetics
  • 3102 Bioinformatics and computational biology
  • 3001 Agricultural biotechnology
  • 11 Medical and Health Sciences
  • 06 Biological Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Niu, Y., Ferreira Azevedo, C. A., Li, X., Kamali, E., Haagen Nielsen, O., Storgaard Sørensen, C., & Frödin, M. (2022). Multiparametric and accurate functional analysis of genetic sequence variants using CRISPR-Select. Nature Genetics, 54(12), 1983–1993. https://doi.org/10.1038/s41588-022-01224-7
Niu, Yiyuan, Catarina A. Ferreira Azevedo, Xin Li, Elahe Kamali, Ole Haagen Nielsen, Claus Storgaard Sørensen, and Morten Frödin. “Multiparametric and accurate functional analysis of genetic sequence variants using CRISPR-Select.Nature Genetics 54, no. 12 (December 2022): 1983–93. https://doi.org/10.1038/s41588-022-01224-7.
Niu Y, Ferreira Azevedo CA, Li X, Kamali E, Haagen Nielsen O, Storgaard Sørensen C, et al. Multiparametric and accurate functional analysis of genetic sequence variants using CRISPR-Select. Nature genetics. 2022 Dec;54(12):1983–93.
Niu, Yiyuan, et al. “Multiparametric and accurate functional analysis of genetic sequence variants using CRISPR-Select.Nature Genetics, vol. 54, no. 12, Dec. 2022, pp. 1983–93. Epmc, doi:10.1038/s41588-022-01224-7.
Niu Y, Ferreira Azevedo CA, Li X, Kamali E, Haagen Nielsen O, Storgaard Sørensen C, Frödin M. Multiparametric and accurate functional analysis of genetic sequence variants using CRISPR-Select. Nature genetics. 2022 Dec;54(12):1983–1993.

Published In

Nature genetics

DOI

EISSN

1546-1718

ISSN

1061-4036

Publication Date

December 2022

Volume

54

Issue

12

Start / End Page

1983 / 1993

Related Subject Headings

  • Developmental Biology
  • Clustered Regularly Interspaced Short Palindromic Repeats
  • 3105 Genetics
  • 3102 Bioinformatics and computational biology
  • 3001 Agricultural biotechnology
  • 11 Medical and Health Sciences
  • 06 Biological Sciences