Optimization of small extracellular vesicle isolation from expressed prostatic secretions in urine for in-depth proteomic analysis.
Optimization of small extracellular vesicle isolation from expressed prostatic secretions in urine for in-depth proteomic analysis.
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DOI:
10.1002/jev2.12184
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发表时间:
2022-03
影响因子:
16
通讯作者:
Yang L
中科院分区:
文献类型:
--
作者:
Correll VL;Otto JJ;Risi CM;Main BP;Boutros PC;Kislinger T;Galkin VE;Nyalwidhe JO;Semmes OJ;Yang L
The isolation and subsequent molecular analysis of extracellular vesicles (EVs) derived from patient samples is a widely used strategy to understand vesicle biology and to facilitate biomarker discovery. Expressed prostatic secretions in urine are a tumor proximal fluid that has received significant attention as a source of potential prostate cancer (PCa) biomarkers for use in liquid biopsy protocols. Standard EV isolation methods like differential ultracentrifugation (dUC) co‐isolate protein contaminants that mask lower‐abundance proteins in typical mass spectrometry (MS) protocols. Further complicating the analysis of expressed prostatic secretions, uromodulin, also known as Tamm‐Horsfall protein (THP), is present at high concentrations in urine. THP can form polymers that entrap EVs during purification, reducing yield. Disruption of THP polymer networks with dithiothreitol (DTT) can release trapped EVs, but smaller THP fibres co‐isolate with EVs during subsequent ultracentrifugation. To resolve these challenges, we describe here a dUC method that incorporates THP polymer reduction and alkaline washing to improve EV isolation and deplete both THP and other common protein contaminants. When applied to human expressed prostatic secretions in urine, we achieved relative enrichment of known prostate and prostate cancer‐associated EV‐resident proteins. Our approach provides a promising strategy for global proteomic analyses of urinary EVs.
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DOI:
10.1083/jcb.93.1.97
发表时间:
1982-04
期刊:
The Journal of cell biology
影响因子:
--
作者:
Fujiki Y;Hubbard AL;Fowler S;Lazarow PB
通讯作者:
Lazarow PB
影响因子:
254.7
作者:
Jemal, Ahmedin;Siegel, Rebecca;Thun, Michael J.
通讯作者:
Thun, Michael J.
影响因子:
4.6
作者:
Fujita K;Kume H;Matsuzaki K;Kawashima A;Ujike T;Nagahara A;Uemura M;Miyagawa Y;Tomonaga T;Nonomura N
通讯作者:
Nonomura N
影响因子:
3.3
作者:
Drake, Richard R.;White, Krista Y.;Fuller, Thomas W.;Igwe, Elena;Clements, Mary Ann;Nyalwidhe, Julius O.;Given, Robert W.;Lance, Raymond S.;Semmes, O. John
通讯作者:
Semmes, O. John
影响因子:
4.4
作者:
Cox, Juergen;Neuhauser, Nadin;Mann, Matthias
通讯作者:
Mann, Matthias