Literature DB >> 31236839

MS-Based Proteomic Analysis of Serum and Plasma: Problem of High Abundant Components and Lights and Shadows of Albumin Removal.

Monika Pietrowska1, Agata Wlosowicz1, Marta Gawin1, Piotr Widlak2.   

Abstract

Blood serum or plasma proteome is a gold mine of disease biomarkers. However, complexity and a huge dynamic range of their components, combined with multiple mechanisms of degradation and posttranslational modifications, further complicated by the presence of lipids, salts, and other metabolites, represent a real challenge for analytical sensitivity, resolution, and reproducibility. This problem exists particularly in the case of potential disease-specific markers, most typically represented by low-abundant proteins (LAPs), whose detection is usually impaired by the dominance of albumins, immunoglobulins, and other high-abundant serum/plasma proteins (HAPs). Hence, analysis of biomarker candidates in serum/plasma samples frequently requires separation of their components, usually including depletion of albumin in a fraction of interest. Such "preprocessing" of serum/plasma specimens is critical in proteomic analysis based on mass spectrometry. This approach is very potent; nevertheless a wide range of protein concentrations in serum/plasma represents a particular challenge, since high-abundant proteins (mostly albumin) dominate in a sample subjected to mass spectrometry and suppress peptide ions originating from low-abundant proteins, thus limiting probability and reliability of their detection. An emerging approach in serum-/plasma-based biomarker-oriented studies is the proteome component of exosomes - nanovesicles secreted by cells and involved in multiple aspects of intercellular communication. However, the presence of albumin, frequent contaminant of exosomes isolated from human serum/plasma, represents a real challenge also in this type of study. A similar problem is encountered in proteomic studies based on exosomes obtained in in vitro experiments where culture media are normally supplemented with fetal bovine serum containing growth factors and hormones. In this case exosomes are frequently contaminated with bovine serum albumin and other bovine serum proteins which should be removed before proteomic analysis of exosome cargo.

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Year:  2019        PMID: 31236839     DOI: 10.1007/978-3-030-12298-0_3

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  11 in total

1.  Human Plasma Extracellular Vesicle Isolation and Proteomic Characterization for the Optimization of Liquid Biopsy in Multiple Myeloma.

Authors:  Antonia Reale; Tiffany Khong; Rong Xu; Maoshan Chen; Sridurga Mithraprabhu; Nicholas Bingham; Andrew Spencer; David W Greening
Journal:  Methods Mol Biol       Date:  2021

2.  A Comparison of Blood Plasma Small Extracellular Vesicle Enrichment Strategies for Proteomic Analysis.

Authors:  Natalie P Turner; Pevindu Abeysinghe; Keith A Kwan Cheung; Kanchan Vaswani; Jayden Logan; Pawel Sadowski; Murray D Mitchell
Journal:  Proteomes       Date:  2022-06-01

3.  A rapid LC-MS/MS assay for detection and monitoring of underivatized branched-chain amino acids in maple syrup urine disease.

Authors:  Hamed Piri-Moghadam; Alan Miller; Debra Pronger; Faye Vicente; Joel Charrow; Shannon Haymond; David C Lin
Journal:  J Mass Spectrom Adv Clin Lab       Date:  2022-04-30

4.  Multiomic profiling of iron-deficient infant monkeys reveals alterations in neurologically important biochemicals in serum and cerebrospinal fluid before the onset of anemia.

Authors:  Brian J Sandri; Jonathan Kim; Gabriele R Lubach; Eric F Lock; Candace Guerrero; LeeAnn Higgins; Todd W Markowski; Pamela J Kling; Michael K Georgieff; Christopher L Coe; Raghavendra B Rao
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2022-03-10       Impact factor: 3.210

Review 5.  Exosomal Cargo May Hold the Key to Improving Reproductive Outcomes in Dairy Cows.

Authors:  Natalie Turner; Pevindu Abeysinghe; Pawel Sadowski; Murray D Mitchell
Journal:  Int J Mol Sci       Date:  2021-02-18       Impact factor: 5.923

6.  A genetic model for in vivo proximity labelling of the mammalian secretome.

Authors:  Rui Yang; Amanda S Meyer; Ilia A Droujinine; Namrata D Udeshi; Yanhui Hu; Jinjin Guo; Jill A McMahon; Dominique K Carey; Charles Xu; Qiao Fang; Jihui Sha; Shishang Qin; David Rocco; James Wohlschlegel; Alice Y Ting; Steven A Carr; Norbert Perrimon; Andrew P McMahon
Journal:  Open Biol       Date:  2022-08-10       Impact factor: 7.124

Review 7.  Proteomics for Biomarker Discovery for Diagnosis and Prognosis of Kidney Transplantation Rejection.

Authors:  Luís M Ramalhete; Rúben Araújo; Aníbal Ferreira; Cecília R C Calado
Journal:  Proteomes       Date:  2022-07-02

8.  Ovarian cancer circulating extracelluar vesicles promote coagulation and have a potential in diagnosis: an iTRAQ based proteomic analysis.

Authors:  Wei Zhang; Peng Peng; Xiaoxuan Ou; Keng Shen; Xiaohua Wu
Journal:  BMC Cancer       Date:  2019-11-12       Impact factor: 4.430

Review 9.  "Omics" in traumatic brain injury: novel approaches to a complex disease.

Authors:  Sami Abu Hamdeh; Olli Tenovuo; Wilco Peul; Niklas Marklund
Journal:  Acta Neurochir (Wien)       Date:  2021-07-17       Impact factor: 2.216

10.  Data-Independent Acquisition Proteomics Reveals Long-Term Biomarkers in the Serum of C57BL/6J Mice Following Local High-Dose Heart Irradiation.

Authors:  Omid Azimzadeh; Christine von Toerne; Vikram Subramanian; Wolfgang Sievert; Gabriele Multhoff; Michael J Atkinson; Soile Tapio
Journal:  Front Public Health       Date:  2021-07-02
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