Evidence map›Paper›PMID 24746883›Full record

ReviewTrends in immunology2014

Heterogeneity in immune responses: from populations to single cells.

Rahul Satija, Alex K Shalek

Abstract readReview
In one paragraph

Review in Trends in immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing 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

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

  1. Pooled it
  2. Article
  3. Living single-cell metabolomicsChemical science · 2026
    Review
  4. Review
  5. Article
  6. Stochasticity in mammalian cell growth rates drives cell-to-cell variability independently of cell size and divisions.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Article
  9. Autonomous Oscillations of NF-κB.Advances in experimental medicine and biology · 2026
    Review
  10. Article
  11. Review
  12. Observational
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

60 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

2 authors.

Rahul SatijaBroad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA. Electronic address: rahuls@broadinstitute.org.
Alex K ShalekDepartment of Chemistry and Chemical Biology and Department of Physics, Harvard University, 12 Oxford Street, Cambridge, MA 02138, USA. Electronic address: shalek@fas.harvard.edu.

Funding

The chromatin regulatory circuitry of bivalent domainsF32HD075541 · NICHD · BROAD INSTITUTE, INC. · PI SATIJA, RAHUL · 2013 to 2014
$99k
NICHD NIH HHS 1F32HD075541-01NICHD NIH HHS F32 HD075541
6 · The paper itself

Abstract

The mammalian immune system is tasked with protecting the host against a broad range of threats. Understanding how immune populations leverage cellular diversity to achieve this breadth and flexibility, particularly during dynamic processes such as differentiation and antigenic response, is a core challenge that is well suited for single cell analysis. Recent years have witnessed transformative and intersecting advances in nanofabrication and genomics that enable deep profiling of individual cells, affording exciting opportunities to study heterogeneity in the immune response at an unprecedented scope. In light of these advances, here we review recent work exploring how immune populations generate and leverage cellular heterogeneity at multiple molecular and phenotypic levels. Additionally, we highlight opportunities for single cell technologies to shed light on the causes and consequences of heterogeneity in the immune system.

Indexed as

AnimalsGene Expression RegulationGenetic HeterogeneityHumansImmune SystemImmunityLymphoid TissuePhenotypeProtein Processing, Post-Translationalcellular heterogeneityimmune responsephenotypic variationsingle cell genomics

Identifiers

PMID24746883
PMCPMC4035247

What OpenQuestion holds

Textmetadata
LicenceTDM
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.