Dataset Information

Longitudinal landscape of urinary EV proteome reveals stable protein expression patterns within and between individuals

ABSTRACT: Urinary extracellular vesicles (EVs) are an attractive source for the detection of disease biomarkers. Mass spectrometry (MS) based proteomics is increasingly used for urinary EV proteome profiling and protein biomarker discovery. However, little is known about the consistency and stability of urinary EV proteins within individuals over time and between different individuals. In this study we profiled the urinary EV proteome of 8 healthy individuals over 6 months at 9 timepoints (total 72 samples) using DIA-MS. We identified a total of 1802 proteins with high correlation amongst all samples. While a minor fraction (10%) of the total urinary EV proteome was shown to play a role in determining personal expression patterns, most of the urinary EV proteins was found to be stable with >90% of the proteins detected in more than 1 person at all timepoints. The variability of urinary EV proteome between different individuals was shown to be significantly higher than personal variation as a result of a small subset (<20%) of proteins. The core interaction network of proteins identified in all individuals revealed EV proteins involved in signaling and localization and sub-clusters enriched for glycolytic activity, protein synthesis, and immune function. Gender-specific expression patterns were detected in the urinary EV proteome, mostly related to hormonal and reproduction pathways. In summary, our findings indicate that the urinary EV proteome is stable in longitudinal samples of healthy subjects, underscoring its potential as a reliable source for protein biomarkers.

INSTRUMENT(S): Q Exactive HF, Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Urine

SUBMITTER: Sander Piersma

LAB HEAD: Connie Ramona Jimenez

PROVIDER: PXD022983 | Pride | 2021-09-09

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	MaxQuant_text_folder.zip	Other
	Proteintable.xlsx	Xlsx
	QE1_181214_OPL0000_AE_lognitudibal_urine_lib_A1.raw	Raw
	QE1_181214_OPL0000_AE_lognitudibal_urine_lib_A10.raw	Raw
	QE1_181214_OPL0000_AE_lognitudibal_urine_lib_A2.raw	Raw

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Longitudinal stability of urinary extracellular vesicle protein patterns within and between individuals.

Erozenci Leyla A LA Piersma Sander R SR Pham Thang V TV Bijnsdorp Irene V IV Jimenez Connie R CR

Scientific reports 20210802 1

The protein content of urinary extracellular vesicles (EVs) is considered to be an attractive non-invasive biomarker source. However, little is known about the consistency and variability of urinary EV proteins within and between individuals over a longer time-period. Here, we evaluated the stability of the urinary EV proteomes of 8 healthy individuals at 9 timepoints over 6 months using data-independent-acquisition mass spectrometry. The 1802 identified proteins had a high correlation amongst a ...[more]

PMID: 34341426

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