Cargando…

CRUSTY: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data

Flow cytometry (FCM) can investigate dozens of parameters from millions of cells and hundreds of specimens in a short time and at a reasonable cost, but the amount of data that is generated is considerable. Computational approaches are useful to identify novel subpopulations and molecular biomarkers...

Descripción completa

Detalles Bibliográficos
Autores principales: Puccio, Simone, Grillo, Giorgio, Alvisi, Giorgia, Scirgolea, Caterina, Galletti, Giovanni, Mazza, Emilia Maria Cristina, Consiglio, Arianna, De Simone, Gabriele, Licciulli, Flavio, Lugli, Enrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477295/
https://www.ncbi.nlm.nih.gov/pubmed/37666818
http://dx.doi.org/10.1038/s41467-023-40790-0
_version_ 1785101122146402304
author Puccio, Simone
Grillo, Giorgio
Alvisi, Giorgia
Scirgolea, Caterina
Galletti, Giovanni
Mazza, Emilia Maria Cristina
Consiglio, Arianna
De Simone, Gabriele
Licciulli, Flavio
Lugli, Enrico
author_facet Puccio, Simone
Grillo, Giorgio
Alvisi, Giorgia
Scirgolea, Caterina
Galletti, Giovanni
Mazza, Emilia Maria Cristina
Consiglio, Arianna
De Simone, Gabriele
Licciulli, Flavio
Lugli, Enrico
author_sort Puccio, Simone
collection PubMed
description Flow cytometry (FCM) can investigate dozens of parameters from millions of cells and hundreds of specimens in a short time and at a reasonable cost, but the amount of data that is generated is considerable. Computational approaches are useful to identify novel subpopulations and molecular biomarkers, but generally require deep expertize in bioinformatics and the use of different platforms. To overcome these limitations, we introduce CRUSTY, an interactive, user-friendly webtool incorporating the most popular algorithms for FCM data analysis, and capable of visualizing graphical and tabular results and automatically generating publication-quality figures within minutes. CRUSTY also hosts an interactive interface for the exploration of results in real time. Thus, CRUSTY enables a large number of users to mine complex datasets and reduce the time required for data exploration and interpretation. CRUSTY is accessible at https://crusty.humanitas.it/.
format Online
Article
Text
id pubmed-10477295
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-104772952023-09-06 CRUSTY: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data Puccio, Simone Grillo, Giorgio Alvisi, Giorgia Scirgolea, Caterina Galletti, Giovanni Mazza, Emilia Maria Cristina Consiglio, Arianna De Simone, Gabriele Licciulli, Flavio Lugli, Enrico Nat Commun Article Flow cytometry (FCM) can investigate dozens of parameters from millions of cells and hundreds of specimens in a short time and at a reasonable cost, but the amount of data that is generated is considerable. Computational approaches are useful to identify novel subpopulations and molecular biomarkers, but generally require deep expertize in bioinformatics and the use of different platforms. To overcome these limitations, we introduce CRUSTY, an interactive, user-friendly webtool incorporating the most popular algorithms for FCM data analysis, and capable of visualizing graphical and tabular results and automatically generating publication-quality figures within minutes. CRUSTY also hosts an interactive interface for the exploration of results in real time. Thus, CRUSTY enables a large number of users to mine complex datasets and reduce the time required for data exploration and interpretation. CRUSTY is accessible at https://crusty.humanitas.it/. Nature Publishing Group UK 2023-09-04 /pmc/articles/PMC10477295/ /pubmed/37666818 http://dx.doi.org/10.1038/s41467-023-40790-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Puccio, Simone
Grillo, Giorgio
Alvisi, Giorgia
Scirgolea, Caterina
Galletti, Giovanni
Mazza, Emilia Maria Cristina
Consiglio, Arianna
De Simone, Gabriele
Licciulli, Flavio
Lugli, Enrico
CRUSTY: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data
title CRUSTY: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data
title_full CRUSTY: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data
title_fullStr CRUSTY: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data
title_full_unstemmed CRUSTY: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data
title_short CRUSTY: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data
title_sort crusty: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477295/
https://www.ncbi.nlm.nih.gov/pubmed/37666818
http://dx.doi.org/10.1038/s41467-023-40790-0
work_keys_str_mv AT pucciosimone crustyaversatilewebplatformfortherapidanalysisandvisualizationofhighdimensionalflowcytometrydata
AT grillogiorgio crustyaversatilewebplatformfortherapidanalysisandvisualizationofhighdimensionalflowcytometrydata
AT alvisigiorgia crustyaversatilewebplatformfortherapidanalysisandvisualizationofhighdimensionalflowcytometrydata
AT scirgoleacaterina crustyaversatilewebplatformfortherapidanalysisandvisualizationofhighdimensionalflowcytometrydata
AT gallettigiovanni crustyaversatilewebplatformfortherapidanalysisandvisualizationofhighdimensionalflowcytometrydata
AT mazzaemiliamariacristina crustyaversatilewebplatformfortherapidanalysisandvisualizationofhighdimensionalflowcytometrydata
AT consiglioarianna crustyaversatilewebplatformfortherapidanalysisandvisualizationofhighdimensionalflowcytometrydata
AT desimonegabriele crustyaversatilewebplatformfortherapidanalysisandvisualizationofhighdimensionalflowcytometrydata
AT licciulliflavio crustyaversatilewebplatformfortherapidanalysisandvisualizationofhighdimensionalflowcytometrydata
AT luglienrico crustyaversatilewebplatformfortherapidanalysisandvisualizationofhighdimensionalflowcytometrydata