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Mass-Spectrometry Based Quantitative Proteomics in Biological Samples

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Avantika Dhabaria

Avantika Dhabaria

NYU Langone Health

Dr. Avantika Dhabaria is the assistant director of the proteomics laboratory in the Department of Biochemistry and Molecular Pharmacology at NYU Langone Health. Dr. Dhabaria has extensive experience in protein analytical chemistry with emphasis on mass spectrometry (MS) based proteomics. She received her PhD in Chemistry from the University of Maryland in Dr. Catherine Fenselau’s lab, where her research was focused on the analysis of intact proteins in complex mixtures. She gained additional experience in Dr. Alex Kentsis’s lab at Memorial-Sloan Kettering Cancer Center where she did her post-doctoral fellowship. Her work in the Kentsis lab was focused on the method development for the proteogenomic analysis of mutant leukemia cells. In her current position, she works on projects that involve identification and quantification of proteins related to various disease pathways. Her research involves establishing novel methods for sample preparation, mass spectrometric experimental design and data analysis for MS-based quantitative label and label-free proteomic studies. Additionally, she works with specialists in the field of infectious disease to study the secretomes of different strains of Staphylococcus aureus and Mycobacterium Tuberculosis to identify virulence factors and to develop better drug or vaccine targets.  

Collection Overview

Proteomics is the analysis of proteins of a part of or a complete cell, tissues, or organism under given conditions. Mass-spectrometry based approaches are used to analyze proteins either in their intact form (top-down proteomics) or as digested peptides (bottom-up proteomics). Even though in principle a top-down approach can fully sequence the protein of interest, this method is not widely used due to several limitations; therefore, bottom-up approaches are more popular in a wide range of applications encompassing both simple and complex samples. The recent advances in mass spectrometry-based proteomics methods have increased the capacity for identification of proteins, as well as aided in the unraveling of cellular signaling networks and improved diagnosis/molecular understanding of disease mechanisms. In answering biological and clinical questions, a list of proteins is usually insufficient; a quantitative state of a proteome is needed for significant insight on disease states or other experimental conditions. Complex digested peptides result in a pool of peptides with varying chemical and physical properties, differing in charge state, hydrophobicity, amino acid sequence, and PTMs. Thus, since the peptide quantitation can not be measured directly from signal intensities this has led to development of various quantitative techniques. Current methods for protein quantitation fall under two main categories: (1) isotope labeling methods (chemical, metabolic and isobaric) which use heavy components; and (2) label-free methods, which use peptide or peptide fragments to obtain quantitative data. The goal of this collection is to feature quantitative mass spectrometric methods in biological samples. 

Articles

High-throughput and Deep-proteome Profiling by 16-plex Tandem Mass Tag Labeling Coupled with Two-dimensional Chromatography and Mass Spectrometry

High-throughput and Deep-proteome Profiling by 16-plex Tandem Mass Tag Labeling Coupled with Two-dimensional Chromatography and Mass Spectrometry

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Cited by 19

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2020

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Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
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Abstracts

An integrated biorepository workflow for collecting surgical specimens and conducting mass-spectrometry based proteomics research

Marcus Toral1,

Aarushi Kumar2,

Vinit Mahajan*3,

Teja Chemudupati*2

1Omics Laboratory, Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA, USA, 94304; Medical Scientist Training Program, University of Iowa, Iowa City, IA, USA, 52242,

2Omics Laboratory, Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA, USA, 94304,

3Omics Laboratory, Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA, USA, 94304; Department of Ophthalmology, Veterans Affairs Palo Alto Health Care, Palo Alto, CA, USA, 94304

A quantitative proteomics workflow for relative biomarker profiling across systemic diseases

Mathew John*1,

Vanditha M2,

Sonu Das3

1Scientist D, Jubilee Centre for Medical Research, Jubilee Mission Medical College & Research Institute, Thrissur, Kerala, India,

2PhD scholar, Jubilee Centre for Medical Research, Jubilee Misiion Medical College & Research Institute, Thrissur, Kerala, India,

3PhD scholar, Jubilee Centre for Medical Research, Jubilee Mission Medical College & Research Institute