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  Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies

Soteriou, D., Kubánková, M., Schweitzer, C., López-Posadas, R., Pradhan, R., Thoma, O.-M., et al. (2023). Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies. Nature Biomedical Engineering, 7, 1392-1403. doi:10.1038/s41551-023-01015-3.

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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/.

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 Creators:
Soteriou, Despina1, 2, Author           
Kubánková, Markéta1, 2, Author           
Schweitzer, Christine1, 2, Author           
López-Posadas, Rocío3, 4, Author
Pradhan, Rahmita3, 4, Author
Thoma, Oana-Maria3, 4, Author
Györfi, Andrea-Hermina3, 4, Author
Matei, Alexandru-Emil3, 4, Author
Waldner, Maximilian3, 4, Author
Distler, Jörg H. W.3, 4, Author
Scheuermann, Stefan3, Author
Langejürgen, Jens3, Author
Eckstein, Markus3, 4, Author
Schneider-Stock, Regine3, 4, Author
Atreya, Raja3, 4, Author
Neurath, Markus F.3, 4, Author
Hartmann, Arndt3, 4, Author
Guck, Jochen1, 2, 4, Author           
Affiliations:
1Guck Division, Max Planck Institute for the Science of Light, Max Planck Society, ou_3164416              
2Max-Planck-Zentrum für Physik und Medizin, Max Planck Institute for the Science of Light, Max Planck Society, ou_3164414              
3external, ou_persistent22              
4Friedrich-Alexander-Universität Erlangen-Nürnberg, ou_persistent22              

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 Abstract: 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.

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Language(s): eng - English
 Dates: 2023-02-222023-04-06
 Publication Status: Published online
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 Identifiers: DOI: 10.1038/s41551-023-01015-3
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Title: Nature Biomedical Engineering
  Abbreviation : Nat Biomed Eng
Source Genre: Journal
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Publ. Info: London ; New York NY ; Tokyo : Nature Research
Pages: - Volume / Issue: 7 Sequence Number: - Start / End Page: 1392 - 1403 Identifier: ISSN: 2157-846X
CoNE: https://pure.mpg.de/cone/journals/resource/2157-846X