Evidence map›Paper›PMID 27798564›Full record

ArticleNature biotechnology2016

Single-cell sequencing of the small-RNA transcriptome.

Omid R Faridani, Ilgar Abdullayev, Michael Hagemann-Jensen, John P Schell, Fredrik Lanner, Rickard Sandberg

Abstract read
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In one paragraph

Article in Nature biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed
–field-weighted citation impact
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

131 citing papers in PubMed.

  1. Review
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  12. Computational Methods for Pathway and Network Analysis with MicroRNAs.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  13. Micro RNA Sequencing in Circulating Tumor Cells.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  14. Article
  15. MicroRNAs and Their Profiling via Single-Cell Sequencing Technologies.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  16. Review
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  18. Article
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  20. Review

71 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Omid R FaridaniLudwig Institute for Cancer Research, Stockholm, Sweden.
Ilgar AbdullayevLudwig Institute for Cancer Research, Stockholm, Sweden.
Michael Hagemann-JensenLudwig Institute for Cancer Research, Stockholm, Sweden.
John P SchellDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
Fredrik LannerDepartment of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
Rickard SandbergLudwig Institute for Cancer Research, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-6473-1740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about the heterogeneity of small-RNA expression as small-RNA profiling has so far required large numbers of cells. Here we present a single-cell method for small-RNA sequencing and apply it to naive and primed human embryonic stem cells and cancer cells. Analysis of microRNAs and fragments of tRNAs and small nucleolar RNAs (snoRNAs) reveals the potential of microRNAs as markers for different cell types and states.

Indexed as

Cell Line, TumorCells, CulturedHigh-Throughput Nucleotide SequencingHuman Embryonic Stem CellsHumansMicroRNAsNeoplasms, ExperimentalSequence Analysis, RNATranscriptomeMicroRNAs

Identifiers

PMID27798564

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.