Evidence map›Paper›PMID 37949786›Full record

ReviewTrends in immunology2023

Reframing macrophage diversity with network motifs.

Gabriela A Pizzurro, Kathryn Miller-Jensen

Abstract readReview
In one paragraph

Review in Trends in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Identifying MS4A6AHeliyon · 2024
    Article
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.

Gabriela A PizzurroDepartment of Biomedical Engineering, Yale University, New Haven, CT 06511, USA.
Kathryn Miller-JensenDepartment of Biomedical Engineering, Yale University, New Haven, CT 06511, USA; Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511, USA. Electronic address: kathryn.miller-jensen@yale.edu.

Funding

Yale SPORE in Skin CancerP50CA121974 · NCI · YALE UNIVERSITY · PI MARCUS W BOSENBERG, Harriet M. Kluger · 2006 to 2026
$43.9M
Systems analysis of cell-cell communication networks and immune activity in the melanoma tumor microenvironmentU01CA238728 · NCI · YALE UNIVERSITY · PI BOSENBERG, MARCUS W, MILLER-JENSEN, KATHRYN · 2020 to 2024
$2.9M
Systems analysis of cell-to-cell variability and signaling-transcription factor motifs regulating macrophage responses to conflicting environmental cuesR01GM123011 · NIGMS · YALE UNIVERSITY · PI MILLER-JENSEN, KATHRYN · 2017 to 2025
$2.5M
NCI NIH HHS P50 CA121974NCI NIH HHS U01 CA238728NIGMS NIH HHS R01 GM123011
6 · The paper itself

Abstract

A binary classification of macrophage activation as inflammatory or resolving does not capture the diversity of macrophage states observed in tissues. However, framing macrophage activation as a continuous spectrum of states overlooks the intracellular and extracellular networks that regulate and coordinate macrophage responses. Here, we suggest that the systems biology concept of network motifs, which incorporate rules of local molecular interactions, is useful for reframing macrophage activation. Because network motifs can be used to regulate distinct biological functions, they offer a simplified unit that can be compared across organismal, tissue, and disease contexts. Moreover, defining macrophage states as combinations of functional modules regulated by network motifs offers a framework to ultimately predict and target macrophage responses arising in complex environments.

Indexed as

MacrophagesPhagocytosisHumansInflammationMacrophage ActivationSystems Biologyactivation statesfunctional modulesmacrophagesnetworks motifs

Identifiers

PMID37949786
PMCPMC11057955

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.