Evidence map›Paper›PMID 28632713›Full record

ReviewNature immunology2017

Systems immunology: just getting started.

Mark M Davis, Cristina M Tato, David Furman

Abstract readReview
In one paragraph

Review in Nature immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing 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

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

  1. Meta-Analysis ofFrontiers in immunology · 2019
    Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Evaluating the Utilities of Foundation Models in Single-Cell Data Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Review

90 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

3 authors.

Mark M DavisHoward Hughes Medical Institute, Stanford University School of Medicine, Stanford, California, USA.
Cristina M TatoInstitute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, California, USA.
David FurmanInstitute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, California, USA.

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
MURINE T-CELL RECEPTOR STRUCTURE AND RECOGNITIONR37AI022511 · NIAID · STANFORD UNIVERSITY · PI DAVIS, MARK MORRIS · 1995 to 2004
$1.3M
NIAID NIH HHS R37 AI022511NIAID NIH HHS U19 AI057229
6 · The paper itself

Abstract

Systems-biology approaches in immunology take various forms, but here we review strategies for measuring a broad swath of immunological functions as a means of discovering previously unknown relationships and phenomena and as a powerful way of understanding the immune system as a whole. This approach has rejuvenated the field of vaccine development and has fostered hope that new ways will be found to combat infectious diseases that have proven refractory to classical approaches. Systems immunology also presents an important new strategy for understanding human immunity directly, taking advantage of the many ways the immune system of humans can be manipulated.

Indexed as

Allergy and ImmunologyHumansImmune SystemImmunologic TechniquesSignal TransductionSystems BiologyVaccinesVaccines

Identifiers

PMID28632713
PMCPMC5790187

What OpenQuestion holds

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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.