Evidence map›Paper›PMID 27442339›Full record

ReviewRNA biology2017

Single-cell RNA-sequencing: The future of genome biology is now.

Simone Picelli

Abstract readReview
In one paragraph

Review in RNA biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers.

0numbers the graph read from it
0cells of the map it votes in
128citing 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

128 citing papers in PubMed.

  1. Article
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  4. Review
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  7. Review
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  11. Review
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  16. Review
  17. Review
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  19. Review
  20. Single-Cell RNA-Sequencing: Opening New Horizons for Breast Cancer Research.International journal of molecular sciences · 2024
    Review

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

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

1 author.

Simone Picellia Eukaryotic Single Cell Genomics Facility , Science for Life Laboratory , Tomtebodavägen , Solna , Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide single-cell analysis represents the ultimate frontier of genomics research. In particular, single-cell RNA-sequencing (scRNA-seq) studies have been boosted in the last few years by an explosion of new technologies enabling the study of the transcriptomic landscape of thousands of single cells in complex multicellular organisms. More sensitive and automated methods are being continuously developed and promise to deliver better data quality and higher throughput with less hands-on time. The outstanding amount of knowledge that is going to be gained from present and future studies will have a profound impact in many aspects of our society, from the introduction of truly tailored cancer treatments, to a better understanding of antibiotic resistance and host-pathogen interactions; from the discovery of the mechanisms regulating stem cell differentiation to the characterization of the early event of human embryogenesis.

Indexed as

Genome, HumanGenome-Wide Association StudyHumansNanoporesRNASequence Analysis, RNASingle-Cell AnalysisTranscriptomeTransposasesRNATn5 transposaseTransposasesCEL-seqCytoSeqDrop-seqMARS-seqNanoporeRNA-sequencingsingle-cellSMART-seq2STRT/C1Tn5 transposase

Identifiers

PMID27442339
PMCPMC5449089

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.