Evidence map›Paper›PMID 38464159›Full record

ArticlebioRxiv : the preprint server for biology2024

Krüppel-like Factor (KLF) family members control expression of genes required for serous cavity and alveolar macrophage identities.

Kathleen Pestal, Leianna C Slayden, Gregory M Barton

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Kathleen PestalDivision of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA.
Leianna C SlaydenDivision of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA.
Gregory M BartonDivision of Immunology and Pathogenesis, Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA.ORCID 0000-0002-3793-0100
Howard Hughes Medical Institute · USUniversity of California, Berkeley · US

Funding

The cell biology of Toll-like receptor 9: a mechanism to prevent autoimmunityR01AI072429 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI Gregory M Barton · 2008 to 2026
$7.6M
Control of Regulatory T Cell Function by Toll-Like Receptor 7R01AI158724 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARTON, GREGORY M · 2021 to 2025
$2.8M
NIAID NIH HHS R01 AI072429NIAID NIH HHS R01 AI158724
6 · The paper itself

Abstract

Tissue-resident macrophages adopt distinct gene expression profiles and exhibit functional specialization based on their tissue of residence. Recent studies have begun to define the signals and transcription factors that induce these identities. Here we describe an unexpected and specific role for the broadly expressed transcription factor Kruppel-like Factor 2 (KLF2) in the development of embryonically derived Large Cavity Macrophages (LCM) in the serous cavities. KLF2 not only directly regulates the transcription of genes previously shown to specify LCM identity, such as retinoic acid receptors and GATA6, but also is required for induction of many other transcripts that define the identity of these cells. We identify a similar role for KLF4 in regulating the identity of alveolar macrophages in the lung. These data demonstrate that broadly expressed transcription factors, such as Group 2 KLFs, can play important roles in the specification of distinct identities of tissue-resident macrophages.

Identifiers

PMID38464159
PMCPMC10925242
OpenAlexW4392342911

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.