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Proteome: History, Size and contents & Methods to study the proteome

A proteome is the entire set of proteins that is, or can be, expressed by a genome, cell, tissue, or organism at a certain time. It is the set of expressed proteins in a given type of cell or organism, at a given time, under defined conditions. Proteomics is the study of the proteome.

Language: English [EN]
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Proteome topic overview

The analysis highlights History, Size and contents and Methods to study the proteome as prominent areas in the source structure around Proteome.

Related topics
76
Source areas
8
Connected nodes
84
Extracted relationships
87
Concept neighborhoods
31
Bridge connections
84

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Methods to study the proteome · 27 topics
Size and contents · 20 topics
Importance in cancer · 18 topics
Types of proteomes · 4 topics
Overview · 3 topics
The proteome in bacterial systems · 2 topics
History · 1 topics
Protein databases · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Types of proteomes

Importance in cancer

The proteome in bacterial systems

History

Size and contents

Methods to study the proteome

Protein databases

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Proteome connects Entity context

The extracted context around Proteome shows recurring relationship patterns in the source. For example, Proteome → A-1, ANXA, APOA1, Biomarkers, EFTU, ENOA, G3P, GRP75, KK47, PRDX2, Proteomic, The, Tu, YTS1 Another extracted example is Proteome → Electrospray Ionization, ESI, Fourier-transform, In May, MALDI, Mass, Matrix Assisted Laser Desorption/Ionization, Nature, Orbitrap Mass Spectrometry, Peptide, Some, Tandem, This. Use these groups to spot repeated connection types before inspecting the individual relationships.

Proteome

Top relations

related to Importance in cancer · 14
Proteome → A-1, ANXA, APOA1, Biomarkers, EFTU, ENOA, G3P, GRP75, KK47, PRDX2, Proteomic, The, Tu, YTS1
related to Mass spectrometry · 13
Proteome → Electrospray Ionization, ESI, Fourier-transform, In May, MALDI, Mass, Matrix Assisted Laser Desorption/Ionization, Nature, Orbitrap Mass Spectrometry, Peptide, Some, Tandem, This
related to Protein databases · 9
Proteome → All, Archived, Because, ELIXIR, The, The Human Protein Atlas, The Plasma Proteome, This, Wayback Machine
has method · 7
Proteome → Additionally, Analyzing, DNA, In, Numerous, Only, While
related to history · 7
Proteome → Electrophoresis, It, Italy, Marc Wilkins, PhD, Siena, Wilkins
related to Separation techniques and electrophoresis · 6
Proteome → Coomassie, In, Proteomics, SDS-PAGE, Spots, The
related to Protein structure prediction · 5
Proteome → DeepMind, EMBL-EBI, In, Protein, Smaller
related to Size and contents · 5
Proteome → Association, DNA, However, In, The
is a · 3
Proteome → collection of proteins found in a particular cell type under a particular set of environmental conditions such as exposure to hormone stimulation.It can also be useful to consid…, entire set of proteins that is, step forward in personalized medicine to tailor drug cocktails to the patient's specific proteomic and genomic profile
related to Chromatography · 3
Proteome → It, Liquid, Some

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

proteins protein cell genome human used proteomic study genes different cancer mass set proteomes methods spectrometry bacteria proteomics predicted order

Proteome relationships Subject–Predicate–Object triples

TTTA extracted 87 structured relationships around Proteome. Examples in this analysis include Proteome → is a → entire set of proteins that is and Proteome → is a → collection of proteins found in a particular cell type under a particular set of environmental conditions such as exposure to hormone stimulation.It can also be useful to consid…. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Proteomeis aentire set of proteins that is0.90text
Proteomeis acollection of proteins found in a particular cell type under a particular set of environmental conditions such as exposure to hormone stimulation.It can also be useful to consid…0.90text
Proteomeis astep forward in personalized medicine to tailor drug cocktails to the patient's specific proteomic and genomic profile0.90text
exposure to hormone stimulation.It can also be useful to consider an organism's complete proteomeinstance ofhence it is important to distinguish proteomes in cells and organisms.A cellular proteome is the collection of proteins found in a particular cell type under a particular set of…0.80text
which can be conceptualized as the complete set of proteins from all of the various cellular proteomesinstance ofhence it is important to distinguish proteomes in cells and organisms.A cellular proteome is the collection of proteins found in a particular cell type under a particular set of…0.80text
transcriptioninstance ofProteins that showed a differential expression were involved in processes0.80text
apoptosisinstance ofProteins that showed a differential expression were involved in processes0.80text
cell proliferation/differentiation among othersinstance ofProteins that showed a differential expression were involved in processes0.80text
Clostridiuminstance ofin bacteria0.80text
Bacillusinstance ofin bacteria0.80text
proteomic analyses were used in order to investigate how different proteins help each of these bacteria spores germinate after a prolonged period of dormancyinstance ofin bacteria0.80text
DNA repair genes are subject to selection pressure proportional to the amount of information in a genome.Proteoformsinstance ofproposes that modulators of mutation rates0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Proteome bring nearby vocabulary together. In this analysis, examples include Proteins, Study and Human. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Proteome
    • Proteins
    • Study
    • Human
    • Also
    • Map
    • Genome
    • Protein
    • Proteomics
    • Structure
    • Term
    • May
    • Proteomes
  • proteome
    • Proteins
    • Study
    • Human
    • Also
    • Map
    • Genome
    • Protein
    • Proteomics
    • Structure
    • Term
    • May
    • Proteomes
  • proteins
    • Proteome
    • Cell
    • Used
    • Protein
    • Expressed
    • Certain
    • Set
    • Using
    • Order
    • Predicted
    • Different
    • Genome
  • viral proteome
    • Proteins
    • Study
    • Human
    • Also
    • Map
    • Genome
    • Protein
    • Proteomics
    • Structure
    • Term
    • May
    • Proteomes
  • cancer cell
    • Lines
    • Order
    • Expressed
    • Organism
    • Proteins
    • Set
    • Proteomic
    • Used
    • Found
    • May
    • Cancer
    • Cell
  • bladder cancer
    • Lines
    • Order
    • Proteomic
    • Used
    • Found
    • May
    • Cell
    • Spectrometry
    • Mass
    • Different
    • Protein
    • Chromatography
  • ovarian cancer
    • Lines
    • Order
    • Proteomic
    • Used
    • Found
    • May
    • Cell
    • Spectrometry
    • Mass
    • Different
    • Protein
    • Chromatography
  • colon cancer
    • Lines
    • Order
    • Proteomic
    • Used
    • Found
    • May
    • Cell
    • Spectrometry
    • Mass
    • Different
    • Protein
    • Chromatography

Connections between topic areas Semantic bridges

For Proteome, one of the stronger structural bridges in this analysis connects Proteome with Methods to study the proteome. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Proteome — Methods to study the proteome · splits 57 ⟂ 28
Proteome — Size and contents · splits 64 ⟂ 21
Proteome — Importance in cancer · splits 66 ⟂ 19
Proteome — Types of proteomes · splits 80 ⟂ 5
Proteome — Overview · splits 81 ⟂ 4
Proteome — The proteome in bacterial systems · splits 82 ⟂ 3

Map overview Semantic statistics

Proteome

Nodes85
Edges84
Triples87
Avg. degree1.98
Density0.023529
Components1

Source & methodology

TTTA analyzes the structure around Proteome to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Size and contents & Methods to study the proteome, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Proteome · EN edition · Analysis: TopicsToTalkAbout

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