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Single-cell microRNA sequencing method comparison and application to cell lines and circulating lung tumor cells

Molecular single cell analyses provide insights into physiological and pathological processes. Here, in a stepwise approach, we first evaluate 19 protocols for single cell small RNA sequencing on MCF7 cells spiked with 1 pg of 1,006 miRNAs. Second, we analyze MCF7 single cell equivalents of the eigh...

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Autores principales: Hücker, Sarah M., Fehlmann, Tobias, Werno, Christian, Weidele, Kathrin, Lüke, Florian, Schlenska-Lange, Anke, Klein, Christoph A., Keller, Andreas, Kirsch, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280203/
https://www.ncbi.nlm.nih.gov/pubmed/34262050
http://dx.doi.org/10.1038/s41467-021-24611-w
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author Hücker, Sarah M.
Fehlmann, Tobias
Werno, Christian
Weidele, Kathrin
Lüke, Florian
Schlenska-Lange, Anke
Klein, Christoph A.
Keller, Andreas
Kirsch, Stefan
author_facet Hücker, Sarah M.
Fehlmann, Tobias
Werno, Christian
Weidele, Kathrin
Lüke, Florian
Schlenska-Lange, Anke
Klein, Christoph A.
Keller, Andreas
Kirsch, Stefan
author_sort Hücker, Sarah M.
collection PubMed
description Molecular single cell analyses provide insights into physiological and pathological processes. Here, in a stepwise approach, we first evaluate 19 protocols for single cell small RNA sequencing on MCF7 cells spiked with 1 pg of 1,006 miRNAs. Second, we analyze MCF7 single cell equivalents of the eight best protocols. Third, we sequence single cells from eight different cell lines and 67 circulating tumor cells (CTCs) from seven SCLC patients. Altogether, we analyze 244 different samples. We observe high reproducibility within protocols and reads covered a broad spectrum of RNAs. For the 67 CTCs, we detect a median of 68 miRNAs, with 10 miRNAs being expressed in 90% of tested cells. Enrichment analysis suggested the lung as the most likely organ of origin and enrichment of cancer-related categories. Even the identification of non-annotated candidate miRNAs was feasible, underlining the potential of single cell small RNA sequencing.
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spelling pubmed-82802032021-07-23 Single-cell microRNA sequencing method comparison and application to cell lines and circulating lung tumor cells Hücker, Sarah M. Fehlmann, Tobias Werno, Christian Weidele, Kathrin Lüke, Florian Schlenska-Lange, Anke Klein, Christoph A. Keller, Andreas Kirsch, Stefan Nat Commun Article Molecular single cell analyses provide insights into physiological and pathological processes. Here, in a stepwise approach, we first evaluate 19 protocols for single cell small RNA sequencing on MCF7 cells spiked with 1 pg of 1,006 miRNAs. Second, we analyze MCF7 single cell equivalents of the eight best protocols. Third, we sequence single cells from eight different cell lines and 67 circulating tumor cells (CTCs) from seven SCLC patients. Altogether, we analyze 244 different samples. We observe high reproducibility within protocols and reads covered a broad spectrum of RNAs. For the 67 CTCs, we detect a median of 68 miRNAs, with 10 miRNAs being expressed in 90% of tested cells. Enrichment analysis suggested the lung as the most likely organ of origin and enrichment of cancer-related categories. Even the identification of non-annotated candidate miRNAs was feasible, underlining the potential of single cell small RNA sequencing. Nature Publishing Group UK 2021-07-14 /pmc/articles/PMC8280203/ /pubmed/34262050 http://dx.doi.org/10.1038/s41467-021-24611-w Text en © The Author(s) 2021 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
Hücker, Sarah M.
Fehlmann, Tobias
Werno, Christian
Weidele, Kathrin
Lüke, Florian
Schlenska-Lange, Anke
Klein, Christoph A.
Keller, Andreas
Kirsch, Stefan
Single-cell microRNA sequencing method comparison and application to cell lines and circulating lung tumor cells
title Single-cell microRNA sequencing method comparison and application to cell lines and circulating lung tumor cells
title_full Single-cell microRNA sequencing method comparison and application to cell lines and circulating lung tumor cells
title_fullStr Single-cell microRNA sequencing method comparison and application to cell lines and circulating lung tumor cells
title_full_unstemmed Single-cell microRNA sequencing method comparison and application to cell lines and circulating lung tumor cells
title_short Single-cell microRNA sequencing method comparison and application to cell lines and circulating lung tumor cells
title_sort single-cell microrna sequencing method comparison and application to cell lines and circulating lung tumor cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280203/
https://www.ncbi.nlm.nih.gov/pubmed/34262050
http://dx.doi.org/10.1038/s41467-021-24611-w
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