Evidence map›Paper›PMID 42595913›Full record

ReviewThe EMBO journal2026

Multi-level transcriptional control of specific macrophage responses.

Alexandra Drakaki, Josje M A Huisman, Marten A Hoeksema

Abstract readReview
PubMed Publisher
In one paragraph

Review in The EMBO journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alexandra Drakaki *Department of Medical Biochemistry, Amsterdam Institute for Immunology and Infectious Diseases; Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands.ORCID http://orcid.org/0009-0001-5496-7933
Josje M A Huisman *Department of Medical Biochemistry, Amsterdam Institute for Immunology and Infectious Diseases; Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands.
Marten A HoeksemaDepartment of Medical Biochemistry, Amsterdam Institute for Immunology and Infectious Diseases; Amsterdam Cardiovascular Sciences Institute, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands. m.a.hoeksema@amsterdamumc.nl.ORCID http://orcid.org/0000-0001-5981-121X

Funding

EC | European Research Council (ERC) ERC,CytoMAC,101076170Hartstichting (Heart Foundation) 03-004-2024-0137Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) VI.Vidi.243.090
6 · The paper itself

Abstract

Macrophages can adopt diverse functional states in response to environmental cues, a process that is fundamentally controlled at the level of transcriptional regulation. In this review, we outline a hierarchical framework of transcription factor activity that underpins macrophage identity and activation. Firstly, lineage-determining transcription factors establish the cell-type-specific chromatin landscape during development. Upon tissue seeding, local signals shape the activity of additional transcription factors that refine enhancer landscapes and drive tissue-specific macrophage phenotypes. Macrophages further adopt their functional states when exposed to potential threats to tissue homeostasis, such as bacterial ligands or inflammatory cytokines. In response, signal-dependent transcription factors are activated and initiate signal-appropriate transcriptional programs. The specificity and durability of these responses are determined by secondary transcription factors that modulate the magnitude, timing, and maintenance of stimulus-induced transcriptional programs. Collectively, macrophage responses emerge from the activity of interconnected layers of cell-type-, tissue-, and signal-dependent transcription factors, forming complex regulatory networks that inflict stimulus-specific outcomes. Dysregulation of these networks can transcriptionally rewire macrophages toward disease-associated states. Delineating transcriptional regulators that distinguish signal responses may enable more targeted disease interventions.

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.