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Related Concept Videos

Proteomics01:33

Proteomics

9.2K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
9.2K

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Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
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Platforms and Pipelines for Proteomics Data Analysis and Management.

Marius Cosmin Codrea1, Sven Nahnsen2

  • 1Quantitative Biology Center (QBiC), University of Tübingen, Auf der Morgenstelle 10, 72076, Tübingen, Germany.

Advances in Experimental Medicine and Biology
|December 16, 2016
PubMed
Summary
This summary is machine-generated.

Mass spectrometry advancements enhance proteomic analysis speed, measurement ranges, and data quality. New methods and instruments continually drive these improvements in large-scale proteome studies.

Keywords:
BioinformaticsData processing pipelineIPA/IP2 pipelineMaxQuant pipelineOpenMS pipelineProtein identificationProtein quantificationProteomics data processingScaffold pipelineSorcerer pipelineThe Central Proteomics Facilities Pipeline (CPFP)Trans proteomic pipeline

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Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Biotechnology

Background:

  • Mass spectrometry is a foundational technology for large-scale proteomic analysis.
  • Continuous innovation is essential for advancing proteomic research capabilities.

Purpose of the Study:

  • To highlight the ongoing improvements in mass spectrometry for proteomics.
  • To underscore the impact of new methodologies and instrumentation on proteomic data acquisition.

Main Methods:

  • Review of advancements in mass spectrometry instrumentation.
  • Analysis of new methodologies for proteomic data acquisition and quality assessment.

Main Results:

  • Significant improvements in data acquisition speed.
  • Enhanced dynamic ranges for measurements.
  • Increased overall data quality in proteomic analyses.

Conclusions:

  • Mass spectrometry technology is rapidly evolving.
  • New methods and instruments are key drivers for enhanced proteomic analysis.
  • These advancements are crucial for the future of large-scale proteome studies.