Evidence map›Paper›PMID 42817971›Full record

ArticlebioRxiv : the preprint server for biology2026

Single-cell transcriptomics reveals cell-type-specific circadian rhythms and their disruption by acute misalignment in mouse aorta.

Benjamin J Auerbach, Ronan Lordan, Soon Y Tang, Elizabeth Hennessy, Seán T Anderson, Ujjalkumar Subhash Das, Ryan McConnell, Mingyao Li, Garret A FitzGerald

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

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

9 authors.

Benjamin J AuerbachGraduate Group in Genomics and Computational Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0003-0496-1119
Ronan LordanInstitute for Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0001-9668-3368
Soon Y TangInstitute for Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
Elizabeth HennessyInstitute for Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
Seán T AndersonInstitute for Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
Ujjalkumar Subhash DasInstitute for Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
Ryan McConnellInstitute for Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
Mingyao LiDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
Garret A FitzGeraldInstitute for Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0002-5885-6819

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Training in Sleep & Sleep DisordersT32HL007953 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI David Menassah Raizen, AMY M SAWYER · 2000 to 2026
$10.6M
Training Program in Computational GenomicsT32HG000046 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JUNHYONG KIM, Mingyao Li · 1999 to 2026
$9.5M
Statistical Methods for Single-Cell TranscriptomicsR01GM125301 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LI, MINGYAO, ZHANG, NANCY R · 2017 to 2020
$1.5M
NCATS NIH HHS UL1 TR001878NHGRI NIH HHS T32 HG000046NHLBI NIH HHS T32 HL007953NIGMS NIH HHS R01 GM125301
6 · The paper itself

Abstract

The circadian molecular clock is a 24-hour cellular timekeeper that influences many features of cardiovascular function. Disruption of the circadian clock via misalignment with the light-dark cycle is associated with a higher incidence of cardiovascular disease and raises cardiovascular risk factors in humans. Nonetheless, the cell-type-specific molecular basis for how misalignment affects the vasculature remains poorly understood. To address this, we performed single-cell RNA-sequencing from whole mouse aorta at ZT0, ZT6, ZT12, and ZT18 under aligned and acutely misaligned (6-hour phase advance) light-dark cycles in both male and female mice. Leveraging Bayesian variational inference, we estimated posterior waveforms for 141,752 cells across four major cell types and identified hundreds of cycling genes in vascular smooth muscle cells (SMCs) and fibroblasts. Pathway and transcription factor enrichment analyses revealed coordinated circadian activity in cholesterol biosynthesis, smooth muscle contraction, and extracellular matrix organization. Notably, SMC genes implicated in phenotypic switching showed coordinated temporal patterns, with genes promoting switching peaking at dusk and genes restraining switching peaking at dawn. Comparing males and females, we found that female SMCs are broadly more rhythmic, with higher amplitudes and nearly twice as many cycling genes after controlling for cell counts and library sizes-a sex difference that was cell-type-specific and not observed in fibroblasts. After acute misalignment, cycling genes showed reduced amplitudes, and peak times showed limited adaptation to the new light-dark cycle. Given that the central clock is known to adapt near-completely during this timeframe, these observations suggest internal misalignment between central and peripheral rhythms. Moreover, altered relative timing of core clock genes within cells indicates that misalignment is created at the intracellular level as well. In SMCs, gene expression patterns were consistent with proteostatic stress, including broad downregulation of protein chaperones and stress-response genes, which cells appear to cope with by upregulating protein degradation pathways. In parallel, in vivo vascular phenotyping showed increased vascular permeability in both sexes, reduced urinary nitrate in males, and increased microvascular thrombus formation in males following acute misalignment. This atlas provides a resource for understanding how circadian misalignment disrupts vascular homeostasis and may contribute to cardiovascular disease risk.

Identifiers

PMID42817971
PMCPMC13621996

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.