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Proteomics

Proteomics

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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Updated: May 1, 2026

Three-Dimensional Bone Extracellular Matrix Model for Osteosarcoma

Three-Dimensional Bone Extracellular Matrix Model for Osteosarcoma

Published on: April 12, 2019

Proteomics of osteosarcoma.

Giulia Bernardini¹, Marcella Laschi, Michela Geminiani

¹Dipartimento di Biotecnologie, Chimica e Farmacia, via Fiorentina 1, Università degli Studi di Siena, 53100 Siena, Italy.

Expert Review of Proteomics

|March 25, 2014

Summary

This summary is machine-generated.

Proteomics offers new ways to understand osteosarcoma (OS), a common bone cancer. This approach helps in discovering biomarkers and understanding treatment resistance for better patient outcomes.

Keywords:

cell model osteosarcoma osteosarcoma pathophysiology osteosarcoma therapy post-genomics proteomics

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Area of Science:

Oncoproteomics
Molecular biology
Cancer research

Background:

Osteosarcoma (OS) is the most common primary bone cancer and a significant challenge in pediatric and adolescent oncology.
Current treatment hurdles include early diagnosis, drug resistance, and disease recurrence.
Proteomic technologies provide a powerful lens to explore the complex biology of OS.

Purpose of the Study:

To review global protein profiling approaches in osteosarcoma research.
To discuss the application of proteomics in understanding OS biology, pathophysiology, and therapeutic mechanisms.
To highlight the potential of proteomic analyses in OS cell lines and cancer stem cells.

Main Methods:

Global protein profiling
Proteomic analyses of OS cell lines
Proteomics of OS cancer stem cells

Main Results:

Proteomics enables a deeper understanding of OS complexity beyond biomarker discovery.
It aids in investigating the mechanisms of chemotherapeutic action.
Proteomic data from cell lines and stem cells offer valuable in vitro models.

Conclusions:

Proteomics is crucial for advancing osteosarcoma research and treatment strategies.
It provides insights into OS biology, drug resistance, and potential therapeutic targets.
Further proteomic studies are essential for improving patient diagnosis, prognosis, and survival rates.