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Related Experiment Video

Updated: Jul 2, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

The proteogenomic path towards biomarker discovery.

Tara K Sigdel¹, Minnie M Sarwal

¹Department of Pediatrics-Nephrology, Stanford University Medical School, Stanford University, Stanford, CA 94305, USA.

Pediatric Transplantation

|September 4, 2008

Summary

Discovering biomarkers for disease diagnosis and prognosis is crucial. Proteogenomics, combining genomics and proteomics, offers promise but faces validation challenges in organ transplantation.

Related Experiment Videos

Last Updated: Jul 2, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

Area of Science:

Biomarker discovery
Organ transplantation
Proteogenomics

Background:

The need for disease biomarkers is increasing.
Genomic and proteomic data availability facilitates biomarker discovery.
Organ transplantation research requires advanced diagnostic tools.

Purpose of the Study:

To review the current status and developments in biomarker discovery for organ transplantation.
To emphasize the evolution of proteomic technologies in this field.

Main Methods:

Review of high-throughput omic techniques, including genomics and proteomics (proteogenomics).
Analysis of challenges in biomarker validation, such as lack of gold standards and data deconvolution bottlenecks.
Discussion of critical issues in study design, sample selection, and data analysis for proteogenomic biomarker discovery.

Main Results:

Proteogenomic approaches are advancing biomarker discovery in organ transplantation.
Proteomics technologies are still developing in data normalization and analysis.
Validation remains a significant hurdle due to diagnostic and analytical challenges.

Conclusions:

Collaborative efforts across disciplines are essential for successful biomarker discovery.
Advancements in proteomic technologies are key to overcoming current limitations.
Rigorous study design and data analysis are critical for reliable biomarker identification in organ transplantation.