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Related Concept Videos

Proteomics01:33

Proteomics

7.3K
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...
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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Updated: Jun 14, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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NCI's Proteomic Data Commons: A Cloud-Based Proteomics Repository Empowering Comprehensive Cancer Analysis through

Ratna R Thangudu1, Michael Holck1, Deepak Singhal1

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|September 3, 2024
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The National Cancer Institute's Proteomic Data Commons (PDC) provides a vital resource for cancer research, enabling data sharing and multi-omics analysis. It supports the integration of proteomic, genomic, and imaging data for improved diagnostics and therapies.

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Area of Science:

  • Proteomics and multi-omics data analysis in cancer research.

Background:

  • High-throughput proteomic technologies generate large-scale cancer data, necessitating robust resources for data sharing and integration.
  • Extensive metadata, including clinical and experimental annotations, are crucial for interpreting and reanalyzing complex proteomic datasets.

Purpose of the Study:

  • To review the current state of the National Cancer Institute's Proteomic Data Commons (PDC) in cancer research.
  • To discuss opportunities and challenges in proteomic data sharing.
  • To propose future directions for the PDC resource.

Main Methods:

  • The PDC, a specialized repository within the NCI Cancer Research Data Commons (CRDC), centralizes annotated proteomic data.
  • It facilitates the integration and analysis of proteomic data with genomic and imaging data from the same samples.
  • The PDC currently houses data from over 160 datasets across 19 cancer types.

Main Results:

  • PDC provides a centralized repository of high-quality cancer proteomic data with extensive clinical annotations.
  • It enables multi-omics analyses by integrating proteomic data with genomic and imaging data.
  • The resource supports large-scale cancer research programs with significant cohort sizes.

Conclusions:

  • The PDC is essential for advancing cancer research by enabling comprehensive data sharing and multi-omics analysis.
  • Addressing challenges in data sharing will further enhance the utility of proteomic resources.
  • Future development of the PDC will continue to support discoveries in cancer diagnostics and therapies.