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(Photo)convert to pooled visual screening
Author(s) -
Ivanova Elena,
Khmelinskii Anton
Publication year - 2020
Publication title -
molecular systems biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 8.523
H-Index - 148
ISSN - 1744-4292
DOI - 10.15252/msb.20209640
Subject(s) - library science , biology , computational biology , computer science
Pooled genetic screening is a powerful method to systematically link genotype to phenotype and gain insights into biological processes, but applying it to visual phenotypes such as cell morphology or protein localization has remained a challenge. In their recent work, Fowler and colleagues (Hasle et al , 2020) describe an elegant approach for high‐throughput cell sorting according to visual phenotypes based on selective photoconversion. This allows combining the advantages of high‐content phenotyping by fluorescence microscopy with the efficiency of pooled screening to dissect complex cellular processes.

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