Applications in image-based profiling of perturbations

Juan C Caicedo; Shantanu Singh; Anne E Carpenter

doi:10.1016/j.copbio.2016.04.003

Applications in image-based profiling of perturbations

Curr Opin Biotechnol. 2016 Jun:39:134-142. doi: 10.1016/j.copbio.2016.04.003. Epub 2016 Apr 17.

Authors

Juan C Caicedo¹, Shantanu Singh², Anne E Carpenter³

Affiliations

¹ Imaging Platform of the Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, USA; Fundación Universitaria Konrad Lorenz, Bogotá, Colombia.
² Imaging Platform of the Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, USA.
³ Imaging Platform of the Broad Institute of Harvard and Massachusetts Institute of Technology, 415 Main Street, Cambridge, MA, USA. Electronic address: anne@broadinstitute.org.

PMID: 27089218
DOI: 10.1016/j.copbio.2016.04.003

Abstract

A dramatic shift has occurred in how biologists use microscopy images. Whether experiments are small-scale or high-throughput, automatically quantifying biological properties in images is now widespread. We see yet another revolution under way: a transition towards using automated image analysis to not only identify phenotypes a biologist specifically seeks to measure ('screening') but also as an unbiased and sensitive tool to capture a wide variety of subtle features of cell (or organism) state ('profiling'). Mapping similarities among samples using image-based (morphological) profiling has tremendous potential to transform drug discovery, functional genomics, and basic biological research. Applications include target identification, lead hopping, library enrichment, functionally annotating genes/alleles, and identifying small molecule modulators of gene activity and disease-specific phenotypes.

Publication types

Review

MeSH terms

Animals
Cell Physiological Phenomena*
Drug Discovery / methods*
Gene Expression Profiling*
Genomics / methods
Humans
Image Interpretation, Computer-Assisted / methods*
Microscopy / methods*
Molecular Imaging / methods*
Phenotype
Proteome / analysis*

Substances

Proteome