Evidence map›Paper›PMID 42094464›Full record

ArticlebioRxiv : the preprint server for biology2026

Molecular heterogeneity and differential metabolic signatures in thymic adipocytes.

Joon Schwakopf, Amber R Syage, Anca Franzini, Katherine E Varley, Dean Tantin

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

5 authors.

Joon SchwakopfDepartment of Pathology, University of Utah School of Medicine, Salt Lake City, UT, USA.
Amber R SyageDepartment of Pathology, University of Utah School of Medicine, Salt Lake City, UT, USA.
Anca FranziniHuntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA.
Katherine E VarleyHuntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA.
Dean TantinDepartment of Pathology, University of Utah School of Medicine, Salt Lake City, UT, USA.ORCID 0000-0003-1354-8385

Funding

Targeting OCA-B in multiple sclerosisR01AI162929 · NIAID · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI DEAN TANTIN · 2022 to 2026
$2.0M
NIAID NIH HHS R01 AI162929
6 · The paper itself

Abstract

Adipocyte depots throughout the body are physiologically and molecularly distinct. With age, adipocytes increase in and around aged thymi. However, thymic adipocytes completely lack molecular characterization. We developed and optimized methods to isolate adipocyte nuclei from mouse thymi of different ages and sexes. Single-nucleus multiomic analysis of male and female mice aged 4-9 months reveals that thymic adipocytes are heterogeneous, with at least two distinct populations. One subpopulation harbors a transcription and chromatin signature consistent with beige/brown fat. A larger subpopulation more strongly resembles classic white adipose tissue and expresses genes associated with epithelial-to-mesenchymal transition (EMT) and antigen presentation. Analysis of differentially open chromatin in the white compared to beige adipose population identifies binding sites for Foxn1 and HIF-1a/Arnt, consistent with a situation in which thymic white adipose cells emerge from thymic epithelial cells, possibly under hypoxic conditions. Immunofluorescence microscopy confirmed the expression of UCP1 protein in cells within the thymic parenchyma, most prominently in subcapsular cortical regions. This resource reveals a complex milieu of thymic adipocytes and identifies multiple avenues for directly probing their ontogeny, dynamics and functional significance.

Indexed as

adipocytesagingBeige FatPPARαT cellsThymic epithelial cellsThymusUCP1

Identifiers

PMID42094464
PMCPMC13142523

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.