Evidence map›Paper›PMID 41472394›Full record

ArticleProteomics2026

Proteomics in Practice: A Case Study Highlighting Tandem Mass Tag-Based MS for Quantitative Profiling of Extracellular Vesicles and Application to Irradiated Fibroblasts.

Greg Berumen Sánchez, Purvi Patel, Kristie Lindsey Rose, Marjan Rafat

Abstract read
In one paragraph

Article in Proteomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

4 authors.

Greg Berumen SánchezDepartment of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, Tennessee, USA.
Purvi PatelProteomics Laboratory, Mass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Kristie Lindsey RoseProteomics Laboratory, Mass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Marjan RafatDepartment of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, Tennessee, USA.ORCID 0000-0002-9444-4379

Funding

Integrated Training in Engineering and DiabetesT32DK101003 · NIDDK · VANDERBILT UNIVERSITY · PI Jamey D. Young · 2014 to 2026
$3.9M
Deconstructing the Tumor Microenvironment and its Role in MetastasisR00CA201304 · NCI · VANDERBILT UNIVERSITY · PI RAFAT, MARJAN · 2018 to 2020
$728k
Concern Foundation ConquerCancerNowAwardNational Science Foundation Graduate Research Fellowship Program 1937963National Science Foundation Graduate Research Fellowship Program 2444112NCI NIH HHS R00 CA201304NIDDK NIH HHS T32 DK101003NIH HHS R00CA201304NIH HHS T32DK101003Vanderbilt Institute for Clinical and Translational Research V0000039983
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are critical mediators of intercellular communication, and valuable sources of biomarkers for diagnostic and therapeutic applications. However, the complexity and heterogeneity of EVs present significant challenges for their proteomic characterization. Major challenges of EV samples include low yield, technical variability, and the need for sensitive and high throughput quantification approaches. In this study, we implement a tandem mass tag (TMT)-based MS workflow for comprehensive, quantitative proteomic profiling of isolated EVs. Through comparison with label-free quantitation (LFQ), we highlight the potential pitfalls and limitations of methodological choices in EV proteomic analyses. Our study integrates standard EV isolation with robust TMT labeling and high-resolution MS, providing insights into practical EV analysis. Utilizing this approach, we profiled EVs isolated from human fibroblasts treated with ionizing radiation. The TMT workflow uncovered an EV proteomic signature reflective of the cellular origins and potential functional roles of irradiated fibroblasts, compared to the LFQ workflow. Our case study underscores the potential of TMT-based MS to overcome common barriers in EV proteomics, facilitating new discoveries in EV biology and advancing their application in biomarker development and translational research.

Indexed as

Extracellular VesiclesFibroblastsProteomeProteomicsTandem Mass SpectrometryHumansProteomecomparative proteomicsextracellular vesiclesionizing radiationlabel‐free quantificationtandem mass tag labelling

Identifiers

PMID41472394
PMCPMC12934204

What OpenQuestion holds

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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.