Proteomics

Dataset Information

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Quantitative Proteomic Analysis of Extracellular Vesicles Derived from γ-Irradiated Normal Human Breast Fibroblasts

ABSTRACT: Small extracellular vesicles (EVs) were isolated from a model of normal breast fibroblasts— immortalized cells derived from healthy reduction mammoplasty tissue—treated with γ-radiation to study the effects of radiation therapy on intercellular communication within the breast stroma. EVs were isolated using the gold-standard differential speed centrifugation protocol. Proteins were subsequently extracted, and a quantitative examination of the alterations in the EV proteome was pursued. Both label-free and isobaric label-based methodologies were conducted to comprehensively characterize proteomic changes.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Fibroblast Of Breast, Breast

SUBMITTER: Kristie Lindsey Rose  

LAB HEAD: Kristie Lindsey Rose

PROVIDER: PXD063788 | Pride | 2026-03-02

REPOSITORIES: Pride

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Dataset's files

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Action DRS
6349_20231009_maxquant_peptides.xlsx Xlsx
6349_20231009_maxquant_proteinGroups.xlsx Xlsx
pEX1_pp_6349_20231002_S1_0Gy_0801_0pt5uL_1.raw Raw
pEX1_pp_6349_20231002_S1_0Gy_0801_1uL_1.raw Raw
pEX1_pp_6349_20231002_S2_0Gy_0823_0pt8uL_2.raw Raw
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Publications

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

Berumen Sánchez Greg G   Patel Purvi P   Rose Kristie Lindsey KL   Rafat Marjan M  

Proteomics 20251230 2-3

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 f  ...[more]

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