Pubfacts - Scientific Publication Data
  • Categories
  • |
  • Journals
  • |
  • Authors
  • Login
  • Categories
  • Journals

Search Our Scientific Publications & Authors

Publications
  • Publications
  • Authors
find publications by category +
Translate page:

Genetic screens in isogenic mammalian cell lines without single cell cloning.

Authors:
Peter C DeWeirdt Annabel K Sangree Ruth E Hanna Kendall R Sanson Mudra Hegde Christine Strand Nicole S Persky John G Doench

Nat Commun 2020 02 6;11(1):752. Epub 2020 Feb 6.

Genetic Perturbation Platform, Broad Institute of MIT and Harvard, 75 Ames Street, Cambridge, MA, 02142, USA.

Isogenic pairs of cell lines, which differ by a single genetic modification, are powerful tools for understanding gene function. Generating such pairs of mammalian cells, however, is labor-intensive, time-consuming, and, in some cell types, essentially impossible. Here, we present an approach to create isogenic pairs of cells that avoids single cell cloning, and screen these pairs with genome-wide CRISPR-Cas9 libraries to generate genetic interaction maps. We query the anti-apoptotic genes BCL2L1 and MCL1, and the DNA damage repair gene PARP1, identifying both expected and uncharacterized buffering and synthetic lethal interactions. Additionally, we compare acute CRISPR-based knockout, single cell clones, and small-molecule inhibition. We observe that, while the approaches provide largely overlapping information, differences emerge, highlighting an important consideration when employing genetic screens to identify and characterize potential drug targets. We anticipate that this methodology will be broadly useful to comprehensively study gene function across many contexts.

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41467-020-14620-6DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005275PMC
February 2020

Publication Analysis

Top Keywords

single cell
12
cell cloning
8
isogenic pairs
8
cell lines
8
gene function
8
genetic screens
8
cell
6
anti-apoptotic genes
4
maps query
4
query anti-apoptotic
4
consideration employing
4
screens identify
4
genes bcl2l1
4
mcl1 dna
4
employing genetic
4
bcl2l1 mcl1
4
identify characterize
4
genetic
4
dna damage
4
characterize potential
4

Altmetric Statistics


Show full details
41 Total Shares
37 Tweets
37 Citations

Similar Publications

© 2021 PubFacts.
  • About PubFacts
  • Privacy Policy
  • Sitemap