Evidence map›Paper›PMID 39975349›Full record

ArticlebioRxiv : the preprint server for biology2025

Gene regulatory logic of the interferon-β enhancer contains multiple selectively deployed modes of transcription factor synergy.

Allison Schiffman, Zhang Cheng, Diana Ourthiague, Alexander Hoffmann

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

4 authors.

Allison SchiffmanSignaling Systems Laboratory, Department of Microbiology, Immunology and Molecular Genetics, and the Institute for Quantitative and Computational Biosciences (QCB), University of California Los Angeles, 611 Charles Young Drive, Los Angeles, CA 90095.
Zhang ChengSignaling Systems Laboratory, Department of Microbiology, Immunology and Molecular Genetics, and the Institute for Quantitative and Computational Biosciences (QCB), University of California Los Angeles, 611 Charles Young Drive, Los Angeles, CA 90095.
Diana OurthiagueSignaling Systems Laboratory, Department of Microbiology, Immunology and Molecular Genetics, and the Institute for Quantitative and Computational Biosciences (QCB), University of California Los Angeles, 611 Charles Young Drive, Los Angeles, CA 90095.
Alexander HoffmannSignaling Systems Laboratory, Department of Microbiology, Immunology and Molecular Genetics, and the Institute for Quantitative and Computational Biosciences (QCB), University of California Los Angeles, 611 Charles Young Drive, Los Angeles, CA 90095.ORCID 0000-0002-5607-3845

Funding

Characterizing functional states of macrophages via their stimulus-responsesR01AI173214 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Alexander Hoffmann · 2023 to 2026
$2.8M
The IRF regulatory network in innate immune training of macrophagesR01AI185026 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Alexander Hoffmann · 2025 to 2026
$1.3M
NIAID NIH HHS R01 AI173214NIAID NIH HHS R01 AI185026
6 · The paper itself

Abstract

Type I interferon IFNβ is a key regulator of the immune response, and its dysregulated expression causes disease. The regulation of IFNβ promoter activity has been a touchpoint of mammalian gene control research since the discovery of functional synergy between two stimulus-responsive transcription factors (TFs) nuclear factor kappa B (NFκB) and interferon regulatory factors (IRF). However, subsequent gene knockout studies revealed that this synergy is condition-dependent such that either NFκB or IRF activation can be dispensable, leaving the precise regulatory logic of IFNβ transcription an open question. Here, we developed a series of quantitative enhancer states models of IFNβ expression control and evaluated them with stimulus-response data from TF knockouts. Our analysis confirmed that TF synergy is a hallmark of the regulatory logic but that it need not involve NFκB, as synergy between two adjacent IRF dimers is sufficient. We found that a sigmoidal binding curve at the distal site renders the dual IRF synergy mode ultrasensitive, allowing it only in conditions of high IRF activity upon viral infection. In contrast, the proximal site has high affinity and enables expression in response to bacterial exposure through synergy with NFκB. However, its accessibility is controlled by the competitive repressor p50:p50, which prevents basal IRF levels from synergizing with NFκB, such that NFκB-only stimuli do not activate IFNβ expression. The enhancer states model identifies multiple synergy modes that are accessed differentially in response to different immune threats, enabling a highly stimulus-specific but also versatile regulatory logic for stimulus-specific IFNβ expression.

Indexed as

Biological SciencesBoolean logic gatesgene regulatory circuitsinterferon regulatory factors (IRF)interferon-βNFκBRig-ISystems Biologythermodynamic state ensemble modelsTLR

Identifiers

PMID39975349
PMCPMC11838565

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.