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Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies
During surgery, rapid and accurate histopathological diagnosis is essential for clinical decision making. Yet the prevalent method of intra-operative consultation pathology is intensive in time, labour and costs, and requires the expertise of trained pathologists. Here we show that biopsy samples ca...
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/PMC10651479/ https://www.ncbi.nlm.nih.gov/pubmed/37024677 http://dx.doi.org/10.1038/s41551-023-01015-3 |
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author | Soteriou, Despina Kubánková, Markéta Schweitzer, Christine López-Posadas, Rocío Pradhan, Rashmita Thoma, Oana-Maria Györfi, Andrea-Hermina Matei, Alexandru-Emil Waldner, Maximilian Distler, Jörg H. W. Scheuermann, Stefan Langejürgen, Jens Eckstein, Markus Schneider-Stock, Regine Atreya, Raja Neurath, Markus F. Hartmann, Arndt Guck, Jochen |
author_facet | Soteriou, Despina Kubánková, Markéta Schweitzer, Christine López-Posadas, Rocío Pradhan, Rashmita Thoma, Oana-Maria Györfi, Andrea-Hermina Matei, Alexandru-Emil Waldner, Maximilian Distler, Jörg H. W. Scheuermann, Stefan Langejürgen, Jens Eckstein, Markus Schneider-Stock, Regine Atreya, Raja Neurath, Markus F. Hartmann, Arndt Guck, Jochen |
author_sort | Soteriou, Despina |
collection | PubMed |
description | During surgery, rapid and accurate histopathological diagnosis is essential for clinical decision making. Yet the prevalent method of intra-operative consultation pathology is intensive in time, labour and costs, and requires the expertise of trained pathologists. Here we show that biopsy samples can be analysed within 30 min by sequentially assessing the physical phenotypes of singularized suspended cells dissociated from the tissues. The diagnostic method combines the enzyme-free mechanical dissociation of tissues, real-time deformability cytometry at rates of 100–1,000 cells s(−1) and data analysis by unsupervised dimensionality reduction and logistic regression. Physical phenotype parameters extracted from brightfield images of single cells distinguished cell subpopulations in various tissues, enhancing or even substituting measurements of molecular markers. We used the method to quantify the degree of colon inflammation and to accurately discriminate healthy and tumorous tissue in biopsy samples of mouse and human colons. This fast and label-free approach may aid the intra-operative detection of pathological changes in solid biopsies. |
format | Online Article Text |
id | pubmed-10651479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106514792023-04-06 Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies Soteriou, Despina Kubánková, Markéta Schweitzer, Christine López-Posadas, Rocío Pradhan, Rashmita Thoma, Oana-Maria Györfi, Andrea-Hermina Matei, Alexandru-Emil Waldner, Maximilian Distler, Jörg H. W. Scheuermann, Stefan Langejürgen, Jens Eckstein, Markus Schneider-Stock, Regine Atreya, Raja Neurath, Markus F. Hartmann, Arndt Guck, Jochen Nat Biomed Eng Article During surgery, rapid and accurate histopathological diagnosis is essential for clinical decision making. Yet the prevalent method of intra-operative consultation pathology is intensive in time, labour and costs, and requires the expertise of trained pathologists. Here we show that biopsy samples can be analysed within 30 min by sequentially assessing the physical phenotypes of singularized suspended cells dissociated from the tissues. The diagnostic method combines the enzyme-free mechanical dissociation of tissues, real-time deformability cytometry at rates of 100–1,000 cells s(−1) and data analysis by unsupervised dimensionality reduction and logistic regression. Physical phenotype parameters extracted from brightfield images of single cells distinguished cell subpopulations in various tissues, enhancing or even substituting measurements of molecular markers. We used the method to quantify the degree of colon inflammation and to accurately discriminate healthy and tumorous tissue in biopsy samples of mouse and human colons. This fast and label-free approach may aid the intra-operative detection of pathological changes in solid biopsies. Nature Publishing Group UK 2023-04-06 2023 /pmc/articles/PMC10651479/ /pubmed/37024677 http://dx.doi.org/10.1038/s41551-023-01015-3 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Soteriou, Despina Kubánková, Markéta Schweitzer, Christine López-Posadas, Rocío Pradhan, Rashmita Thoma, Oana-Maria Györfi, Andrea-Hermina Matei, Alexandru-Emil Waldner, Maximilian Distler, Jörg H. W. Scheuermann, Stefan Langejürgen, Jens Eckstein, Markus Schneider-Stock, Regine Atreya, Raja Neurath, Markus F. Hartmann, Arndt Guck, Jochen Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies |
title | Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies |
title_full | Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies |
title_fullStr | Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies |
title_full_unstemmed | Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies |
title_short | Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies |
title_sort | rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651479/ https://www.ncbi.nlm.nih.gov/pubmed/37024677 http://dx.doi.org/10.1038/s41551-023-01015-3 |
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