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Related Concept Videos

Proteomics01:33

Proteomics

8.5K
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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Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Proteins: From Genes to Degradation02:11

Proteins: From Genes to Degradation

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Within a biological system, the DNA encodes the RNA, and the nucleotide sequence in the RNA further defines the amino acid sequence in the protein. This is referred to as “The Central Dogma of Molecular Biology” - a term coined by Francis Crick.  Central dogma is a firm principle in biology that defines the flow of genetic information within any life form. The two fundamental steps in central dogma are - transcription and translation.
Transcription is the synthesis of RNA...
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Epistasis Analysis01:09

Epistasis Analysis

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Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
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Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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Protein-protein Interfaces02:04

Protein-protein Interfaces

14.0K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Updated: Oct 12, 2025

Using Caenorhabditis elegans to Screen for Tissue-Specific Chaperone Interactions
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Using Caenorhabditis elegans to Screen for Tissue-Specific Chaperone Interactions

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Decoding the cellular effects of genetic variation through interaction proteomics.

Natalia Kunowska1, Ulrich Stelzl2

  • 1Institute of Pharmaceutical Sciences, Pharmaceutical Chemistry, University of Graz, Austria.

Current Opinion in Chemical Biology
|November 21, 2021
PubMed
Summary
This summary is machine-generated.

Genetic variations impact protein complex abundance and interactions, influencing cellular phenotypes. Understanding these proteomic changes bridges the gap between genetic differences and functional consequences.

Keywords:
Deep mutagenesisInteractome mappingMissense mutationProtein complexesProtein–protein interaction networkYeast two-hybrid analysis

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Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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Area of Science:

  • Proteomics
  • Genetics
  • Systems Biology

Background:

  • Translating genetic variation into cellular phenotypes remains a challenge.
  • The extent to which coding variations manifest in the proteome is not fully understood.

Purpose of the Study:

  • To investigate how genetic differences influence protein abundance, stoichiometry, and interactions.
  • To explore the role of protein-protein interactions in mediating the functional consequences of genetic variation.

Main Methods:

  • Proteogenomic analysis of heterogeneous cell lines.
  • Large-scale binary interaction analyses of missense variants.
  • Deep scanning mutagenesis of protein-protein interactions.

Main Results:

  • Genetic differences primarily affect protein complex abundance and stoichiometry.
  • Post-transcriptional effects propagate through protein interactions.
  • Approximately 50% of disease-associated mutations cause loss of protein interaction.
  • Thousands of interaction-deficient variants were identified per interaction.

Conclusions:

  • Protein-protein interactions are a key mechanism linking genetic variation to cellular phenotypes.
  • Combined forward and reverse proteomics approaches can elucidate genotype-phenotype relationships.
  • Improved methodologies are crucial for understanding the functional impact of genetic variation on the proteome.