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

Files for this record:
File Description SizeFormat 
s41467-021-24611-w.pdf3,86 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons