Literature DB >> 29542338

Affinity enrichment for mass spectrometry: improving the yield of low abundance biomarkers.

Brianna Kim1, Robyn Araujo2, Marissa Howard3, Ruben Magni3, Lance A Liotta3, Alessandra Luchini3.   

Abstract

INTRODUCTION: Mass spectrometry (MS) is the premier tool for discovering novel disease-associated protein biomarkers. Unfortunately, when applied to complex body fluid samples, MS has poor sensitivity for the detection of low abundance biomarkers (≪10 ng/mL), derived directly from the diseased tissue cells or pathogens. Areas covered: Herein we discuss the strengths and drawbacks of technologies used to concentrate low abundance analytes in body fluids, with the aim to improve the effective sensitivity for MS discovery. Solvent removal by dry-down or dialysis, and immune-depletion of high abundance serum or plasma proteins, is shown to have disadvantages compared to positive selection of the candidate biomarkers by affinity enrichment. A theoretical analysis of affinity enrichment reveals that the yield for low abundance biomarkers is a direct function of the binding affinity (Association/Dissociation rates) used for biomarker capture. In addition, a high affinity capture pre processing step can effectively dissociate the candidate biomarker from partitioning with high abundance proteins such as albumin. Expert commentary: Properly designed high affinity capture materials can enrich the yield of low abundance (0.1-10 picograms/mL) candidate biomarkers for MS detection. Affinity capture and concentration, as an upfront step in sample preparation for MS, combined with MS advances in software and hardware that improve the resolution of the chromatographic separation can yield a transformative new class of low abundance biomarkers predicting disease risk or disease latency.

Entities:  

Keywords:  Mass spectrometry; affinity capture; biomarker; cancer; infectious disease; low abundance; lyme disease; nanotechnology

Mesh:

Substances:

Year:  2018        PMID: 29542338      PMCID: PMC6081742          DOI: 10.1080/14789450.2018.1450631

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  65 in total

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7.  Antibody-free, targeted mass-spectrometric approach for quantification of proteins at low picogram per milliliter levels in human plasma/serum.

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4.  Proteomic analysis reveals pathogen-derived biomarkers of acute babesiosis in erythrocytes, plasma, and urine of infected hamsters.

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5.  Affinity Capture Enrichment versus Affinity Depletion: A Comparison of Strategies for Increasing Coverage of Low-Abundant Human Plasma Proteins.

Authors:  Nicolai Bjødstrup Palstrøm; Lars Melholt Rasmussen; Hans Christian Beck
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7.  Using proteomics to advance the search for potential biomarkers for preeclampsia: A systematic review and meta-analysis.

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Review 9.  A Critical Review of Bottom-Up Proteomics: The Good, the Bad, and the Future of this Field.

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10.  Shotgun proteomics coupled to nanoparticle-based biomarker enrichment reveals a novel panel of extracellular matrix proteins as candidate serum protein biomarkers for early-stage breast cancer detection.

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  10 in total

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