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Related Experiment Video

Updated: Jun 4, 2026

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Published on: May 25, 2015

Omics-based molecular target and biomarker identification.

Zhang-Zhi Hu¹, Hongzhan Huang, Cathy H Wu

¹Lombardi Cancer Center, Georgetown University, Washington, DC, USA. zh9@georgetown.edu

Methods in Molecular Biology (Clifton, N.J.)

|March 4, 2011

Summary

Omics data analysis for disease research is complex. This study uses curated knowledge and expert interpretation to identify potential molecular targets through biological pathway analysis for validation.

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Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

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Published on: April 6, 2012

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Last Updated: Jun 4, 2026

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Published on: May 25, 2015

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Published on: April 6, 2012

Area of Science:

Biomedical Research
Bioinformatics
Genomics
Proteomics

Background:

Omics technologies are crucial for understanding disease mechanisms and identifying therapeutic targets.
Analyzing and interpreting complex Omics data remains a significant challenge due to lengthy experimental workflows.

Purpose of the Study:

To present a strategy for functional analysis and interpretation of Omics data.
To facilitate the selection of potential molecular targets using curated knowledge resources and expert guidance.

Main Methods:

Utilizing curated knowledge resources for data interpretation.
Employing expert-guided examination of Omics data.
Focusing functional analysis on biological pathways to derive molecular targets.

Main Results:

A downstream workflow for functional analysis of Omics data has been developed.
The workflow facilitates the identification of molecular targets from biological pathways.
Proposed targets are suitable for experimental validation.

Conclusions:

The described strategy enhances the interpretation of Omics data.
This approach aids in the selection of promising molecular targets for further research.
Integrating curated knowledge and expert insight is key to overcoming Omics data analysis challenges.