Evidence map›Paper›PMID 41266110›Full record

ArticleLife science alliance2026

Identifying space-resolved proteins of the murine thymus, by combining MALDI-MSI and proteomics.

Jennifer T Aguilan, Carlos Madrid-Aliste, Joshua Fischer, Maria K Lagou, Simone Sidoli, George S Karagiannis

Abstract read
In one paragraph

Article in Life science alliance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jennifer T AguilanDepartment of Pathology, Albert Einstein College of Medicine, Bronx, NY, USA.
Carlos Madrid-AlisteLaboratory for Macromolecular and Proteomics Facility, Albert Einstein College of Medicine, Bronx, NY, USA.
Joshua FischerBruker Daltonics Corporation, New York, NY, USA.
Maria K LagouDepartment of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA.
Simone SidoliLaboratory for Macromolecular and Proteomics Facility, Albert Einstein College of Medicine, Bronx, NY, USA simone.sidoli@einsteinmed.edu.ORCID 0000-0001-9073-6641
George S KaragiannisDepartment of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA georgios.karagiannis@einsteinmed.edu.ORCID 0000-0002-8808-707X

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI Ulrich Steidl · 1985 to 2026
$111.2M
Orbitrap Exploris 480 Basic SystemS10OD030286 · OD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SIDOLI, SIMONE · 2021 to 2021
$600k
High Speed, High Resolution Slide Scanner for Research in Translational MedicineS10OD026852 · OD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI CONDEELIS, JOHN S · 2022 to 2022
$472k
NCI NIH HHS P30 CA013330NIH HHS S10 OD026852NIH HHS S10 OD030286
6 · The paper itself

Abstract

Identifying spatially resolved proteomes has advanced markedly, yet integrating definitive protein identification with precise spatial localization in a single workflow remains challenging. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) enables antibody-free mapping of proteins in tissue sections, but its capacity for unambiguous identification is limited. Here, we present a combined MALDI-MSI and liquid chromatography-tandem mass spectrometry (LC-MS/MS) approach to map protein localization and track spatial changes in murine thymus during chemotherapy-induced involution and regeneration. Our workflow incorporates a scoring algorithm (pepBridge) that aligns MALDI-MSI molecular signals with LC-MS/MS identifications, enabling confident assignment of proteins, critical to thymic function. Using this pipeline, we reveal spatiotemporal changes in proteins involved in cell migration, cytoskeletal remodeling, and thymic regeneration. Notably, we identify distinct spatial shifts in nucleoprotein TPR and tubulin-associated chaperone A (TBCA), corresponding to chemotherapy-driven architectural remodeling. Translationally, these findings highlight pathways and targets to promote immune recovery in pediatric cancer patients undergoing cytoreductive therapy. Analytically, this framework advances spatial proteomics by enabling high-confidence protein identification in lymphoid tissues, broadening the potential of translational proteomic research.

Indexed as

ProteomeProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationThymus GlandAnimalsChromatography, LiquidMiceMice, Inbred C57BLTandem Mass SpectrometryProteome

Identifiers

PMID41266110
PMCPMC12634821

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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.