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Proteome

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A proteome is the entire set of proteins expressed by a genome, cell, tissue, or organism at a specific time.

Metabolomics schema
Metabolomics schema

While a genome provides the blueprint, the proteome represents the actual functional tools being used under defined conditions. Proteomics is the scientific study of these protein sets. Because different cells perform different tasks, they often possess unique proteomes. For example, a multicellular organism has different proteomes in different cell types. Even small structures like mitochondria have their own specific proteomes, which can consist of more than 3,000 distinct proteins.

2D gel color coding
2D gel color coding

Scientists use several complex methods to study these protein collections. One common technique is two-dimensional gel electrophoresis. This process separates proteins in two stages. First, isoelectric focusing separates them based on their electrical charge. Second, SDS-PAGE separates them by their molecular weight. The resulting gel is stained with substances like silver or Coomassie brilliant blue to make the proteins visible as distinct spots.

2D gel color coding
2D gel color coding

Another essential tool is mass spectrometry, which identifies proteins by measuring their mass.

ThermoScientificOrbitrapElite
ThermoScientificOrbitrapElite

Methods like peptide mass fingerprinting work by cleaving proteins into short peptides to match them against databases. Tandem mass spectrometry can further provide sequence information by isolating and colliding peptides with gas to produce fragment ions.

Proteomes vary significantly in size and complexity across different life forms. In viruses, the proteome is relatively well-defined and can range from about 3 to 1,000 proteins. Bacteria typically have proteomes ranging from 500 to 10,000 proteins. Eukaryotes, such as humans, are much more complicated due to a process called alternative splicing. In this process, more than one protein can be produced from a single gene. While the human genome encodes about 20,000 proteins, some estimates suggest there could be as many as 92,179 proteins when including splicing variants. This complexity makes mapping the human proteome a massive scientific challenge.

The concept of the proteome is relatively recent in scientific history. Marc Wilkins coined the term "proteome" in 1994. He introduced the idea during a symposium in Siena, Italy, titled "2D Electrophoresis: from protein maps to genomes." The term was officially published in 1995 as part of his PhD thesis. Since then, several major initiatives have attempted to map the human proteome. These include the Human Proteome Map, ProteomicsDB, and the Human Proteome Project (HPP). As of October 2020, the HPP published a high-stringency blueprint covering more than 90% of predicted protein-coding genes.

Proteomics plays a vital role in modern medical research, particularly in oncology. By analyzing the proteome, researchers can determine the presence of different cancer types.

Protein Patterns and Diagnosis
Protein Patterns and Diagnosis

Proteomic studies help identify how likely a cancer is to undergo metastasis, which is the spread of cancer. For example, studies on bladder cancer cell lines identified 36 unregulated and 74 down-regulated proteins. In ovarian cancer, specific biomarkers like α-enolase (ENOA) and peroxiredoxin (PRDX2) have been identified. This information allows for personalized medicine, where drug cocktails are tailored to a patient's specific proteomic profile.

Researchers also study the proteome to understand biological variability and hidden structures. Some proteins belong to the "dark proteome," a term coined by Perdigão and colleagues. This refers to protein regions that lack detectable sequence homology to known three-dimensional structures. In eukaryotes and viruses, the dark proteome can make up 44% to 54% of the total proteome. Furthermore, small changes like single amino acid polymorphisms (SAPs) can create different "proteoforms." These variations contribute to the immense diversity of proteins found within a single organism.

Finally, proteomics connects to broader biological systems and evolutionary theories. There is a concept known as "proteomic constraint." This theory suggests that an organism's DNA repair capacity is positively correlated with its genome information content. This information content is also related to the size of the proteome. In bacteria, archaea, and DNA viruses, researchers have observed that DNA repair genes are subject to selection pressure proportional to the amount of information in a genome. By studying these connections, scientists gain a deeper understanding of how life maintains its genetic integrity through protein activity.

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File:Metabolomics schema.png
Metabolomics schema.png
File:Protein Patterns and Diagnosis.jpg
Protein Patterns and Diagnosis.jpg
File:2D gel color coding.jpg
2D gel color coding.jpg
File:ThermoScientificOrbitrapElite.JPG
ThermoScientificOrbitrapElite.JPG
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