Evidence map›Paper›PMID 27153082›Full record

ReviewViruses2016

Single-Cell Genomics for Virology.

Angela Ciuffi, Sylvie Rato, Amalio Telenti

Abstract readReview
In one paragraph

Review in Viruses, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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  6. Review
  7. Article
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  10. Article
  11. Review
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  14. Article
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  16. Article
  17. Review
  18. Article
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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

3 authors.

Angela CiuffiInstitute of Microbiology, University Hospital Center and University of Lausanne, Bugnon 48, CH-1011 Lausanne, Switzerland. Angela.Ciuffi@chuv.ch.
Sylvie RatoInstitute of Microbiology, University Hospital Center and University of Lausanne, Bugnon 48, CH-1011 Lausanne, Switzerland. Sylvie.Ferreira-Rato@chuv.ch.
Amalio TelentiThe J. Craig Venter Institute, 4120 Capricorn Lane, La Jolla, CA 92037, USA. atelenti@jcvi.org.

Funding

Swiss National Science Foundation 146579Swiss National Science Foundation 166412
6 · The paper itself

Abstract

Single-cell sequencing technologies, i.e., single cell analysis followed by deep sequencing investigate cellular heterogeneity in many biological settings. It was only in the past year that single-cell sequencing analyses has been applied in the field of virology, providing new ways to explore viral diversity and cell response to viral infection, which are summarized in the present review.

Indexed as

Host-Pathogen InteractionsGenomicsHumansSingle-Cell AnalysisVirologyVirusescell-to-cell variabilitygenomicsheterogeneitymicrofluidicsproteomicsRNA-Seqsequencingsingle celltranscriptomicsvirus

Identifiers

PMID27153082
PMCPMC4885078

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.