Evidence map›Paper›PMID 28983043›Full record

ReviewScience (New York, N.Y.)2017

Single-cell transcriptomics to explore the immune system in health and disease.

Michael J T Stubbington, Orit Rozenblatt-Rosen, Aviv Regev, Sarah A Teichmann

Abstract readReview
In one paragraph

Review in Science (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 334 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
334citing papers in PubMed, 1 pooled it
–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

334 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  16. Evaluating the Utilities of Foundation Models in Single-Cell Data Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  17. The roles and heterogeneity of CD8International journal of molecular medicine · 2026
    Review
  18. Article
  19. Article
  20. Article

274 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

4 authors.

Michael J T StubbingtonWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK.ORCID 0000-0001-5924-3566
Orit Rozenblatt-RosenKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0001-6313-3570
Aviv RegevKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. aregev@broadinstitute.org st9@sanger.ac.uk.ORCID 0000-0003-3293-3158
Sarah A TeichmannWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK. aregev@broadinstitute.org st9@sanger.ac.uk.ORCID 0000-0002-6294-6366

Funding

ImmGen: Gene Expression and Regulation in Immune CellsR24AI072073 · NIAID · JOSLIN DIABETES CENTER · PI CHRISTOPHE O. BENOIST · 2007 to 2026
$28.5M
An integrated multiplexed genomic assay for low input clinical samples1U24AI118672 · NIAID · BROAD INSTITUTE, INC. · PI SHALEK, ALEX K · 2015 to 2019
$2.0M
Howard Hughes Medical InstituteNIAID NIH HHS R24 AI072073NIAID NIH HHS U24 AI118672Wellcome Trust 206194
6 · The paper itself

Abstract

The immune system varies in cell types, states, and locations. The complex networks, interactions, and responses of immune cells produce diverse cellular ecosystems composed of multiple cell types, accompanied by genetic diversity in antigen receptors. Within this ecosystem, innate and adaptive immune cells maintain and protect tissue function, integrity, and homeostasis upon changes in functional demands and diverse insults. Characterizing this inherent complexity requires studies at single-cell resolution. Recent advances such as massively parallel single-cell RNA sequencing and sophisticated computational methods are catalyzing a revolution in our understanding of immunology. Here we provide an overview of the state of single-cell genomics methods and an outlook on the use of single-cell techniques to decipher the adaptive and innate components of immunity.

Indexed as

Immune SystemTranscriptomeAdaptive ImmunityAnimalsGene Expression ProfilingGenomicsHumansImmunity, InnateSingle-Cell Analysis

Identifiers

PMID28983043
PMCPMC5654495

What OpenQuestion holds

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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.