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Exploiting Interdata Relationships in Next-generation Proteomics Analysis.

Burcu Vitrinel1, Hiromi W L Koh2, Funda Mujgan Kar1

  • 1Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY.

Molecular & Cellular Proteomics : MCP
|May 26, 2019
PubMed
Summary
This summary is machine-generated.

New "integromics" approaches combine multiple data types, like proteomics and mRNA levels, for deeper biological insights. This integration moves beyond parallel analysis to quantitative modeling for a systems-level understanding.

Keywords:
BioinformaticsComputational BiologyDegradomics*MetabolomicsModelingPost-translational modifications*RNA SEQSystems biology*Transcription*Translation*integrationmultiomicssystems biology

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Area of Science:

  • Biochemistry
  • Systems Biology
  • Bioinformatics

Background:

  • Advanced technologies enable quantitative, system-wide analysis of proteins, mRNAs, and other molecules.
  • Orthogonal data sets offer rich information for biological discovery.

Purpose of the Study:

  • To introduce and define the emerging field of "integromics."
  • To highlight tools and studies integrating diverse molecular data.
  • To advocate for quantitative modeling in data integration.

Main Methods:

  • Review of recent studies integrating proteomic data with mRNA, genetic, and small molecule/lipid data.
  • Discussion of tools for data integration.
  • Proposal for quantitative modeling approaches.

Main Results:

  • Demonstration of successful integration of proteomic data with other molecular data types.
  • Identification of tools facilitating integromic studies.
  • Emphasis on the benefits of quantitative modeling for understanding biological relationships.

Conclusions:

  • Integromics offers a powerful framework for a systems-level understanding of biology.
  • Effective data integration requires quantitative modeling, not just parallel analysis.
  • Future research should focus on developing and applying integromic strategies to exploit data synergy.