Please use this identifier to cite or link to this item:
doi:10.22028/D291-46244
Title: | Single-cell microRNA sequencing method comparison and application to cell lines and circulating lung tumor cells |
Author(s): | Hücker, Sarah M. Fehlmann, Tobias Werno, Christian Weidele, Kathrin Lüke, Florian Schlenska-Lange, Anke Klein, Christoph A. Keller, Andreas Kirsch, Stefan |
Language: | English |
Title: | Nature Communications |
Volume: | 12 |
Issue: | 1 |
Publisher/Platform: | Springer Nature |
Year of Publication: | 2021 |
Free key words: | Cancer Lung cancer |
DDC notations: | 610 Medicine and health |
Publikation type: | Journal Article |
Abstract: | 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 pro tocols 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. |
DOI of the first publication: | 10.1038/s41467-021-24611-w |
URL of the first publication: | https://doi.org/10.1038/s41467-021-24611-w |
Link to this record: | urn:nbn:de:bsz:291--ds-462447 hdl:20.500.11880/40536 http://dx.doi.org/10.22028/D291-46244 |
ISSN: | 2041-1723 |
Date of registration: | 10-Sep-2025 |
Description of the related object: | Supplementary information |
Related object: | https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-24611-w/MediaObjects/41467_2021_24611_MOESM1_ESM.pdf https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-24611-w/MediaObjects/41467_2021_24611_MOESM2_ESM.docx https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-24611-w/MediaObjects/41467_2021_24611_MOESM3_ESM.xlsx https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-24611-w/MediaObjects/41467_2021_24611_MOESM4_ESM.xlsx https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-24611-w/MediaObjects/41467_2021_24611_MOESM5_ESM.xlsx https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-24611-w/MediaObjects/41467_2021_24611_MOESM6_ESM.xlsx https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-24611-w/MediaObjects/41467_2021_24611_MOESM7_ESM.xlsx https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-24611-w/MediaObjects/41467_2021_24611_MOESM8_ESM.xlsx https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-24611-w/MediaObjects/41467_2021_24611_MOESM9_ESM.xlsx https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-24611-w/MediaObjects/41467_2021_24611_MOESM10_ESM.xlsx https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-24611-w/MediaObjects/41467_2021_24611_MOESM11_ESM.pdf https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-021-24611-w/MediaObjects/41467_2021_24611_MOESM12_ESM.pdf |
Faculty: | M - Medizinische Fakultät |
Department: | M - Medizinische Biometrie, Epidemiologie und medizinische Informatik |
Professorship: | M - Univ.-Prof. Dr. Andreas Keller |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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s41467-021-24611-w.pdf | 3,86 MB | Adobe PDF | View/Open |
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