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Related Experiment Video

Updated: May 10, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

[Proteomics and personalized medicine].

Silvia Rocchiccioli¹, Lorena Tedeschi, Lorenzo Citti

¹Instituto di Fisio Clinica, CNR, Pisa. silvia.rocciccioli@ifc.cnr.it

Recenti Progressi in Medicina

|June 11, 2013

Summary

Omics-based medicine leverages proteomics for holistic disease insights and personalized diagnostics. Oligonucleotide tools help validate findings, enabling more predictive and preventive healthcare.

Area of Science:

Biomedicine
Genomics
Proteomics

Context:

The human genome's disclosure initiated an era focused on investigating pathogenic mechanisms across multiple molecular levels (DNA, RNA, proteins, metabolites).
The "omics" revolution led to "omics-based medicine," integrating diverse molecular data for a comprehensive understanding of health and disease.

Purpose:

To explore the role of proteomics in "omics-based medicine" for disease diagnosis and personalized treatment.
To highlight the utility of oligonucleotide-based knock-down strategies in validating omics-derived findings and targeting disease mechanisms.

Summary:

Proteomics offers a holistic view of diseases, identifying molecular fingerprints for personalized diagnostics ("diagnostic-omics").
Integration of clinical and proteomic data is crucial for achieving personalized diagnoses.

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

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Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

Oligonucleotide tools (antisense, siRNA, etc.) can inhibit gene expression at transcriptional or post-transcriptional levels, validating omics findings.

Impact:

Enables "diagnostic-omics" for personalized diagnoses, improving prevention and therapy.
Facilitates a shift towards more preventive, predictive, and personalized medicine.
Advances the understanding and targeted intervention of pathological processes through integrated omics and molecular tools.