Interpreting Image-based Profiles using Similarity Clustering and Single-Cell Visualization.

Morpheus high-dimensional data image-based profiling morphological analysis profiling single-cell visualization

Journal

Current protocols
ISSN: 2691-1299
Titre abrégé: Curr Protoc
Pays: United States
ID NLM: 101773894

Informations de publication

Date de publication:
Mar 2023
Historique:
pmc-release: 01 03 2024
entrez: 15 3 2023
pubmed: 16 3 2023
medline: 21 3 2023
Statut: ppublish

Résumé

Image-based profiling quantitatively assesses the effects of perturbations on cells by capturing a breadth of changes via microscopy. Here, we provide two complementary protocols to help explore and interpret data from image-based profiling experiments. In the first protocol, we examine the similarity among perturbed cell samples using data from compounds that cluster by their mechanisms of action. The protocol includes steps to examine feature-driving differences between samples and to visualize correlations between features and treatments to create interpretable heatmaps using the open-source web tool Morpheus. In the second protocol, we show how to interactively explore images together with the numerical data, and we provide scripts to create visualizations of representative single cells and image sites to understand how changes in features are reflected in the images. Together, these two tutorials help researchers interpret image-based data to speed up research. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Exploratory analysis of profile similarities and driving features Basic Protocol 2: Image and single-cell visualization following profile interpretation.

Identifiants

pubmed: 36921124
doi: 10.1002/cpz1.713
pmc: PMC10027367
mid: NIHMS1876198
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e713

Subventions

Organisme : NIGMS NIH HHS
ID : P41 GM135019
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM122547
Pays : United States
Organisme : NIH HHS
ID : MIRA R35 GM122547
Pays : United States
Organisme : NIH HHS
ID : COBA P41 GM135019
Pays : United States

Informations de copyright

© 2023 The Authors. Current Protocols published by Wiley Periodicals LLC.

Références

Nat Protoc. 2016 Sep;11(9):1757-74
pubmed: 27560178
Nat Cell Biol. 2019 Sep;21(9):1068-1077
pubmed: 31481797
Nat Rev Drug Discov. 2021 Feb;20(2):145-159
pubmed: 33353986
Mol Cancer Ther. 2014 Aug;13(8):2092-103
pubmed: 24980947
Cell Syst. 2022 Sep 21;13(9):724-736.e9
pubmed: 36057257
Nat Commun. 2021 Feb 24;12(1):1259
pubmed: 33627641
Elife. 2015 Aug 19;4:e07735
pubmed: 26287480
Exp Cell Res. 1985 Jul;159(1):1-16
pubmed: 3896822
PLoS One. 2022 May 4;17(5):e0267280
pubmed: 35507559
Commun Biol. 2020 Jun 1;3(1):276
pubmed: 32483293
Bioinformatics. 2006 Aug 1;22(15):1924-5
pubmed: 16709585
J Cell Sci. 2020 Jan 29;133(2):
pubmed: 31996399
Nat Methods. 2012 Jun 28;9(7):676-82
pubmed: 22743772
Cell Syst. 2022 Nov 16;13(11):911-923.e9
pubmed: 36395727
BMC Bioinformatics. 2021 Sep 10;22(1):433
pubmed: 34507520
Circulation. 2015 Jan 20;131(3):289-99
pubmed: 25486933
Lab Invest. 2017 May;97(5):615-625
pubmed: 28263290
Nat Methods. 2017 Aug 31;14(9):849-863
pubmed: 28858338
Mol Biol Cell. 2021 Apr 19;32(9):995-1005
pubmed: 33534641

Auteurs

Fernanda Garcia-Fossa (F)

Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts.
Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, São Paulo, Brazil.

Mario Costa Cruz (MC)

Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts.

Marzieh Haghighi (M)

Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts.

Marcelo Bispo de Jesus (MB)

Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, São Paulo, Brazil.

Shantanu Singh (S)

Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts.

Anne E Carpenter (AE)

Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts.

Beth A Cimini (BA)

Imaging Platform, Broad Institute of Harvard and MIT, Cambridge, Massachusetts.

Articles similaires

Humans Male Female Intensive Care Units COVID-19

Insect diversity estimation in polarimetric lidar.

Dolores Bernenko, Meng Li, Hampus Månefjord et al.
1.00
Animals Biodiversity Insecta Algorithms Cluster Analysis
Microscopy Humans Artificial Intelligence Primary Health Care
Malaria, Vivax Peru Humans Recurrence Female

Classifications MeSH