Evidence map›Paper›PMID 42079143›Full record

ArticlebioRxiv : the preprint server for biology2026

Multimodal analysis of molecular remodeling in aging spleen identified global and cell type specific changes.

Katarina Vlajic, Alison Luciano, Gennifer E Merrihew, Carla R Sanchez, Michael Riffle, Kristine A Tsantilas, Sahar Attar, Brian J Beliveau, Mariya T Sweetwyne, Michael J MacCoss and 2 more

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

12 authors.

Katarina VlajicDepartment of Genome Sciences, University of Washington, Seattle, WA 98105, USA.ORCID 0000-0002-4859-4974
Alison LucianoThe Jackson Laboratory, Bar Harbor, ME, 04609, USA.
Gennifer E MerrihewDepartment of Genome Sciences, University of Washington, Seattle, WA 98105, USA.ORCID 0000-0003-4903-0318
Carla R SanchezDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98105, USA.
Michael RiffleDepartment of Genome Sciences, University of Washington, Seattle, WA 98105, USA.ORCID 0000-0003-1633-8607
Kristine A TsantilasDepartment of Genome Sciences, University of Washington, Seattle, WA 98105, USA.
Sahar AttarDepartment of Genome Sciences, University of Washington, Seattle, WA 98105, USA.
Brian J BeliveauDepartment of Genome Sciences, University of Washington, Seattle, WA 98105, USA.
Mariya T SweetwyneDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98105, USA.
Michael J MacCossDepartment of Genome Sciences, University of Washington, Seattle, WA 98105, USA.ORCID 0000-0003-1853-0256
Gary ChurchillThe Jackson Laboratory, Bar Harbor, ME, 04609, USA.ORCID 0000-0001-9190-9284
Devin K SchweppeDepartment of Genome Sciences, University of Washington, Seattle, WA 98105, USA.

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
Translational CoreP30AG038070 · NIA · JACKSON LABORATORY · PI John Matthew Mahoney · 2010 to 2026
$19.3M
Technology for evaluating drug-binding responses to small-molecule perturbationR35GM150919 · NIGMS · UNIVERSITY OF WASHINGTON · PI Devin Karl Schweppe · 2023 to 2026
$1.6M
NCI NIH HHS P30 CA015704NHGRI NIH HHS T32 HG000035NIA NIH HHS P30 AG038070NIGMS NIH HHS R35 GM150919
6 · The paper itself

Abstract

Aging reshapes the cellular and molecular landscape of mammalian tissues. These changes can be progressive, preceding linearly with age, or occur as abrupt transitions of the course of lifespan. To investigate the age-dependent cellular and molecular shifts we profiled matched proteomes and transcriptomes from male and female murine spleens across eight time points, from stable adults through late life. The spleen was chosen to integrate understanding of age-dependent changes associated with immune surveillance, inflammaging, and immune-related proteostasis. Male and female mice follow distinct aging trajectories particularly in protein-RNA correlation in late life, reflecting both compositional shifts and failure of post-transcriptional buffering. To investigate whether these changes could be attributed to specific cell-types within the spleen, we developed Celestial, a machine-learning framework to identify cell-type-specific changes in bulk tissue samples. We found that age-related bulk molecular changes could be attributed in part to compositional remodeling of cell-types-expansion of GZMK+ CD8+ T cells and C1Q+ macrophages alongside naive T cell and global B cell loss. These results demonstrate that cell-type-aware interpretation can inform bulk multi-omic data for accurate mechanistic inference in heterogeneous tissues undergoing complex molecular remodeling.

Identifiers

PMID42079143
PMCPMC13131538

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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.