# proteomics

> large-scale study of proteins

**Wikidata**: [Q471857](https://www.wikidata.org/wiki/Q471857)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Proteomics)  
**Source**: https://4ort.xyz/entity/proteomics

## Summary
Proteomics is the large-scale study of proteins, encompassing their structures, functions, and interactions within biological systems. It is a key academic discipline within the broader field of omics, focusing on analyzing all proteins in a given sample or organism.

## Key Facts
- Proteomics is classified as an academic discipline and a branch of analytical chemistry.
- It is part of the omics family, which includes fields like genomics and metabolomics.
- Notable figures in proteomics include Ruedi Aebersold (Swiss biologist) and David Eisenberg (American biophysicist).
- It is a parent field to secretomics, the study of secreted proteins.
- Proteomics is associated with multiple identifiers, including MeSH (D040901), LCSH (sh2002000814), and NLM (13572719q).
- The field is indexed under various classification systems, such as MeSH (H01.158.201.843, H01.158.273.180.350.700, etc.) and NDL (00933684).
- Proteomics has a Wikidata sitelink count of 45 and is linked to multiple external databases (e.g., Freebase ID /m/0fc4v, GND ID 46111723).

## FAQs
**What is proteomics?**
Proteomics is the large-scale study of proteins, examining their structures, functions, and interactions in biological systems. It is a key discipline in modern biology and medicine.

**Who are some notable researchers in proteomics?**
Ruedi Aebersold, a Swiss biologist, and David Eisenberg, an American biophysicist, are prominent figures in the field.

**How is proteomics classified?**
Proteomics is part of the omics family and is classified under analytical chemistry techniques. It is also a parent field to secretomics.

**What identifiers are associated with proteomics?**
Proteomics is indexed under multiple systems, including MeSH (D040901), LCSH (sh2002000814), and NLM (13572719q), among others.

## Why It Matters
Proteomics plays a crucial role in understanding biological processes at the molecular level, enabling advancements in medicine, drug discovery, and biotechnology. By studying proteins on a large scale, researchers can uncover new biomarkers, disease mechanisms, and therapeutic targets, making it essential for personalized medicine and biomedical research.

## Notable For
- Being a foundational discipline in the omics field, alongside genomics and metabolomics.
- Its application in identifying protein biomarkers for diseases like cancer and Alzheimer’s.
- The development of high-throughput techniques for protein analysis, such as mass spectrometry.
- Contributions to systems biology by mapping protein interaction networks.

## Body
### Overview
Proteomics is the systematic study of proteins, including their structures, functions, and interactions. It is a core discipline within the omics sciences, which focus on the comprehensive analysis of biological molecules. As an academic field, proteomics integrates techniques from analytical chemistry, biochemistry, and bioinformatics to analyze proteins in large datasets.

### Key Figures
- **Ruedi Aebersold**: A Swiss biologist known for his contributions to proteomics, particularly in mass spectrometry-based protein analysis.
- **David Eisenberg**: An American biophysicist who has advanced the understanding of protein structures and their roles in disease.

### Classification and Relationships
Proteomics is part of the broader omics field, which includes disciplines like genomics and metabolomics. It is also classified under analytical chemistry techniques, emphasizing its role in chemical analysis. Additionally, proteomics serves as a parent field to secretomics, the study of secreted proteins.

### Identifiers and Databases
Proteomics is indexed under multiple classification systems:
- **MeSH (Medical Subject Headings)**: D040901
- **LCSH (Library of Congress Subject Headings)**: sh2002000814
- **NLM (National Library of Medicine)**: 13572719q
- **MeSH Tree Numbers**: H01.158.201.843, H01.158.273.180.350.700, H01.158.273.343.350.700, H01.181.122.738
- **GND (Gemeinsame Normdatei)**: 46111723
- **Freebase ID**: /m/0fc4v

### Applications and Impact
Proteomics has revolutionized biomedical research by enabling the large-scale analysis of proteins, which are critical to cellular functions. It has applications in:
- **Disease Research**: Identifying protein biomarkers for diseases such as cancer and neurodegenerative disorders.
- **Drug Discovery**: Targeting specific proteins for therapeutic interventions.
- **Systems Biology**: Mapping protein interaction networks to understand cellular processes.

### Techniques and Methodologies
Proteomics relies on advanced techniques such as:
- **Mass Spectrometry**: A key tool for identifying and quantifying proteins.
- **Protein Microarrays**: Used to study protein interactions and functions.
- **Bioinformatics**: Essential for analyzing large datasets generated by proteomic studies.

### Related Fields
- **Secretomics**: A subfield of proteomics focused on secreted proteins.
- **Genomics**: The study of genes, often complementary to proteomics.
- **Metabolomics**: The study of metabolites, another omics discipline.

Proteomics continues to evolve, driven by technological advancements and its critical role in understanding biological systems. Its integration with other omics fields and analytical techniques ensures its ongoing relevance in scientific research and medical applications.

## References

1. [Nuovo soggettario](https://thes.bncf.firenze.sbn.it/termine.php?id=39821)
2. Nuovo soggettario
3. Freebase Data Dumps. 2013
4. UMLS 2023
5. Quora
6. National Library of Israel
7. KBpedia
8. GF WordNet
9. [OpenAlex](https://docs.openalex.org/download-snapshot/snapshot-data-format)