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Related Experiment Video

Updated: Feb 10, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

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Published on: November 2, 2012

Moonshot Objectives: Catalyze New Scientific Breakthroughs-Proteogenomics.

Karin D Rodland¹, Paul Piehowski, Richard D Smith

¹From the Pacific Northwest National Laboratory, Richland, WA.

Cancer Journal (Sudbury, Mass.)

|May 26, 2018

Summary

Proteogenomics integrates nucleic acid and protein data to advance cancer research. This approach offers a comprehensive view of molecular information flow, aiding in understanding cancer risk, progression, and treatment response.

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Last Updated: Feb 10, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

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Published on: November 2, 2012

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Published on: November 20, 2018

Area of Science:

Oncology
Molecular Biology
Bioinformatics

Background:

Cancer research traditionally separates nucleic acid (DNA, RNA) and protein analyses.
A unified understanding of molecular information flow in cancer is crucial for research acceleration.

Purpose of the Study:

To introduce proteogenomics as an integrated approach for cancer research.
To highlight the value of proteogenomics within the Cancer Moonshot initiative.

Main Methods:

Integrating genomic, transcriptomic, and proteomic data.
Utilizing clinically relevant samples and clinical trial data.

Main Results:

Proteogenomics provides a holistic view of the DNA-to-RNA-to-protein information pathway.
Demonstrated substantial added value in Cancer Moonshot activities.

Conclusions:

Proteogenomics enhances the understanding of cancer biology at a molecular level.
Innovative proteogenomic studies can yield new insights into cancer risk, progression, and therapeutic responses.