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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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 |
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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 |
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