Evidence map›Paper›PMID 34262050›Full record

ArticleNature communications2021

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

Sarah M Hücker, Tobias Fehlmann, Christian Werno, Kathrin Weidele, Florian Lüke, Anke Schlenska-Lange, Christoph A Klein, Andreas Keller, Stefan Kirsch

Open access · goldAbstract readComparative Study
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
5.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Micro RNA Sequencing in Circulating Tumor Cells.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. NamiRNA-Enhancer Network: The Changing Era Challenge and Chance of miRNA.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  15. Article
  16. Review
  17. Sequencing technologies to measure translation in single cells.Nature reviews. Molecular cell biology · 2025
    Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Sarah M Hücker *Division of Personalized Tumor Therapy, Fraunhofer-Institute for Toxicology and Experimental Medicine, Regensburg, Germany.ORCID 0000-0002-6167-0265
Tobias Fehlmann *Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.ORCID 0000-0003-1967-2918
Christian WernoDivision of Personalized Tumor Therapy, Fraunhofer-Institute for Toxicology and Experimental Medicine, Regensburg, Germany.
Kathrin WeideleDivision of Personalized Tumor Therapy, Fraunhofer-Institute for Toxicology and Experimental Medicine, Regensburg, Germany.
Florian LükeDivision of Personalized Tumor Therapy, Fraunhofer-Institute for Toxicology and Experimental Medicine, Regensburg, Germany.
Anke Schlenska-LangeDepartment of Oncology and Hematology, Hospital Barmherzige Brüder, Regensburg, Germany.
Christoph A KleinDivision of Personalized Tumor Therapy, Fraunhofer-Institute for Toxicology and Experimental Medicine, Regensburg, Germany.ORCID 0000-0001-7128-1725
Andreas KellerChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.ORCID 0000-0002-5361-0895
Stefan KirschDivision of Personalized Tumor Therapy, Fraunhofer-Institute for Toxicology and Experimental Medicine, Regensburg, Germany. stefan.kirsch@item.fraunhofer.de.ORCID 0000-0002-6238-7170
Fraunhofer Institute for Toxicology and Experimental Medicine · DESaarland University · DEKrankenhaus Barmherzige Brüder · DEUniversity Hospital Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 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.

Indexed as

Biomarkers, TumorCell Line, TumorHumansLung NeoplasmsMicroRNAsNeoplastic Cells, CirculatingReproducibility of ResultsSequence Analysis, RNASingle-Cell AnalysisSmall Cell Lung CarcinomaBiomarkers, TumorMicroRNAs

Identifiers

PMID34262050
PMCPMC8280203
OpenAlexW3177542716

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.