Rapid and in-depth proteomic profiling of small extracellular vesicles for ultralow samples

被引:7
|
作者
Cross, Jonathon [1 ]
Rai, Alin [1 ,2 ]
Fang, Haoyun [1 ,3 ]
Claridge, Bethany [1 ,2 ]
Greening, David W. [1 ,2 ,3 ,4 ]
机构
[1] Baker Heart & Diabet Inst, Melbourne, Australia
[2] Trobe Univ, Sch Agr Biomed & Environm, Dept Cardiovasc Res Translat & Implementat CaRTI, Bundoora, Australia
[3] Univ Melbourne, Dept Cardiometab Hlth, Melbourne, Australia
[4] Baker Heart & Diabet Inst, Mol Prote, Melbourne 3004, Australia
关键词
data-independent acquisition; extracellular vesicles; high sensitivity; mass spectrometry; proteomics; subcellular; ultra-low proteomics; DIFFERENTIAL EXPRESSION; EXOSOMES; PACKAGE;
D O I
10.1002/pmic.202300211
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The integration of robust single-pot, solid-phase-enhanced sample preparation with powerful liquid chromatography-tandem mass spectrometry (LC-MS/MS) is routinely used to define the extracellular vesicle (EV) proteome landscape and underlying biology. However, EV proteome studies are often limited by sample availability, requiring upscaling cell cultures or larger volumes of biofluids to generate sufficient materials. Here, we have refined data independent acquisition (DIA)-based MS analysis of EV proteome by optimizing both protein enzymatic digestion and chromatography gradient length (ranging from 15 to 44 min). Our short 15 min gradient length can reproducibly quantify 1168 (from as little as 500 pg of EV peptides) to 3882 proteins groups (from 50 ng peptides), including robust quantification of 22 core EV marker proteins. Compared to data-dependent acquisition, DIA achieved significantly greater EV proteome coverage and quantification of low abundant protein species. Moreover, we have achieved optimal magnetic bead-based sample preparation tailored to low quantities of EVs (0.5 to 1 mu g protein) to obtain sufficient peptides for MS quantification of 1908-2340 protein groups. We demonstrate the power and robustness of our pipeline in obtaining sufficient EV proteomes granularity of different cell sources to ascertain known EV biology. This underscores the capacity of our optimised workflow to capture precise and comprehensive proteome of EVs, especially from ultra-low sample quantities (sub-nanogram), an important challenge in the field where obtaining in-depth proteome information is essential.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Proteomic Profiling of Small Extracellular Vesicles Secreted by Human Pancreatic Cancer Cells Implicated in Cellular Transformation
    Servage, Kelly A.
    Stefanius, Karoliina
    Gray, Hillery Fields
    Orth, Kim
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [32] Protein Profiling of Small Lung Adenocarcinomas: An In-Depth Analysis
    Dai, T.
    Adachi, J.
    Minami, Y.
    Tomonaga, T.
    Noguchi, M.
    JOURNAL OF THORACIC ONCOLOGY, 2019, 14 (10) : S324 - S324
  • [33] Surface Double Dendritic Magnetic Microfibrils for Rapid Isolation and Proteomic Profiling of Extracellular Vesicles from Microliters of Biofluids
    Chang, Wenya
    Cai, Yuhan
    Sun, Jie
    Deng, Yuanyuan
    Li, Yu
    Xing, Likai
    Simayijiang, Zulihabire
    Gu, Zhongze
    Xie, Zhuoying
    ACS NANO, 2025, 19 (09) : 9196 - 9206
  • [34] Subfractionation, characterization, and in-depth proteomic analysis of glomerular membrane vesicles in human urine
    Hogan, Marie C.
    Johnson, Kenneth L.
    Zenka, Roman M.
    Charlesworth, M. Cristine
    Madden, Benjamin J.
    Mahoney, Doug W.
    Oberg, Ann L.
    Huang, Bing Q.
    Leontovich, Alexey A.
    Nesbitt, Lisa L.
    Bakeberg, Jason L.
    McCormick, Daniel J.
    Bergen, H. Robert
    Ward, Christopher J.
    KIDNEY INTERNATIONAL, 2014, 85 (05) : 1225 - 1237
  • [35] Insights Into the Proteomic Profiling of Extracellular Vesicles for the Identification of Early Biomarkers of Neurodegeneration
    Quiroz-Baez, Ricardo
    Hernandez-Ortega, Karina
    Martinez-Martinez, Eduardo
    FRONTIERS IN NEUROLOGY, 2020, 11
  • [36] Proteomic profiling of extracellular vesicles allows for human breast cancer subtyping
    Stamatia Rontogianni
    Eleni Synadaki
    Bohui Li
    Marte C. Liefaard
    Esther H. Lips
    Jelle Wesseling
    Wei Wu
    Maarten Altelaar
    Communications Biology, 2
  • [37] Proteomic profiling of extracellular vesicles allows for human breast cancer subtyping
    Rontogianni, Stamatia
    Synadaki, Eleni
    Li, Bohui
    Liefaard, Marte C.
    Lips, Esther H.
    Wesseling, Jelle
    Wu, Wei
    Altelaar, Maarten
    COMMUNICATIONS BIOLOGY, 2019, 2 (1)
  • [38] Proteomic profiling of serum extracellular vesicles identifies diagnostic markers for echinococcosis
    Guo, Xiaola
    Wang, Shuai
    Zhang, Junmei
    Li, Rui
    Zhang, Yong'e
    Wang, Zhengrong
    Kong, Qingming
    Cho, William C.
    Ju, Xianghong
    Shen, Yujuan
    Zhang, Lingqiang
    Fan, Haining
    Cao, Jianping
    Zheng, Yadong
    PLOS NEGLECTED TROPICAL DISEASES, 2022, 16 (10):
  • [39] Proteomic analysis of small extracellular vesicles unique to cervical cancer
    Molika, Piyatida
    Leetanaporn, Kittinun
    Rungkamoltip, Phetploy
    Roytrakul, Sittiruk
    Hanprasertpong, Jitti
    Navakanitworakul, Raphatphorn
    TRANSLATIONAL CANCER RESEARCH, 2023, 12 (11) : 3113 - +
  • [40] Quantitative Analysis of Human Pluripotency and Neural Specification by In-Depth (Phospho) Proteomic Profiling
    Singec, Ilyas
    Crain, Andrew M.
    Hou, Junjie
    Tobe, Brian T. D.
    Talantova, Maria
    Winquist, Alicia A.
    Doctor, Kutbuddin S.
    Choy, Jennifer
    Huang, Xiayu
    La Monaca, Esther
    Horn, David M.
    Wolf, Dieter A.
    Lipton, Stuart A.
    Gutierrez, Gustavo J.
    Brill, Laurence M.
    Snyder, Evan Y.
    STEM CELL REPORTS, 2016, 7 (03): : 527 - 542