Protein Disease Associations
Protein Disease Associations - Related Videos
09:39
Mapping Dysfunctional Protein-Protein Interactions in Disease
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2025
Here, we present a protocol to enable the capture and identification of disease-specific protein-protein interactions from native cells and tissues using chemical probes and mass spectrometry. The resulting interaction datasets are analyzed through a dedicated web-based platform to reveal dynamic network dysfunctions and pathway alterations linked to disease.
10:10
The Implicit Association Test
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2023
Source: Julian Wills & Jay Van Bavel—New York University One of the core constructs in social psychology is the notion of an attitude toward an object or person. Traditionally, psychologists measured attitudes by simply asking people to self-report their beliefs, opinions, or feelings. This approach has limitations, however, when measuring socially sensitive attitudes, like racial prejudice, because people are often motivated to self-report unprejudiced, egalitarian beliefs (despite...
19:50
Interview: Protein Folding and Studies of Neurodegenerative Diseases
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Cited by 2 •
2008
In this interview, Dr. Lindquist describes relationships between protein folding, prion diseases and neurodegenerative disorders. The problem of the protein folding is at the core of the modern biology. In addition to their traditional biochemical functions, proteins can mediate transfer of biological information and therefore can be considered a genetic material. This recently discovered function of proteins has important implications for studies of human disorders. Dr. Lindquist also...
05:20
Yeast Two-Hybrid Assay to Determine Protein Self-Association in Yeast Cells
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2025
This video demonstrates the yeast two-hybrid assay to detect specific protein self-interactions. In this assay, the protein of interest is tagged to two domains of a transcription factor that encodes the β-galactosidase enzyme. When the two proteins interact, this causes transcription and translation to form the enzyme, which is then detected using a biochemical assay.
10:47
An Overview of Genetics and Disease
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2023
Many human diseases are associated with mutations or variations in genetic sequences. Some of these genetic variants are heritable, passed down from generation to generation, while others arise sporadically during an organism’s life and cause diseases such as cancer. Researchers are trying to identify and characterize these genetic alterations in the hopes of improving diagnosis and therapeutic options for patients.In this video, we will examine the history of genetic disease research, and...
FAQs
Sequence mutations may alter a protein’s folding or molecular function, changing how it participates in cellular processes. A structural change can therefore affect signaling, transport, or protein degradation and ultimately contribute to a disease phenotype. Studying these consequences helps connect a specific molecular defect with the cellular disruption observed in the affected state.
Disease can emerge when regulation causes a protein to become too abundant or insufficiently available. Such changes may disturb the balance of cellular pathways, even when the protein sequence remains unchanged. Measuring altered protein levels helps investigators determine whether regulation contributes to pathology and whether restoring an appropriate amount could be relevant to intervention.
A protein can contribute to disease when it appears in the wrong cellular location or displays abnormal activity. Mislocalization may prevent normal interactions, while altered activity can disrupt signaling, transport, or degradation processes. Biochemical analysis of where a protein acts and how it functions helps distinguish different mechanisms that may produce related disease phenotypes.
Misfolded proteins can lose normal function and may also form aggregates that interfere with cellular processes. This creates a dual problem: essential protein activity can decline while harmful accumulations develop. Examining folding behavior and aggregation therefore clarifies how a molecular abnormality progresses into broader cellular dysfunction and can identify opportunities to limit damaging protein interactions.
Experimental approaches examine protein features and cellular consequences, whereas computational approaches help map relationships and prioritize proteins for further study. Used together, they can connect sequence, abundance, localization, or activity changes with disease phenotypes. This combined strategy supports mechanistic analysis while narrowing attention toward associations most relevant for biomarkers or therapeutic investigation.
Mapping associations can reveal links between molecular defects and disease phenotypes, helping researchers identify candidate biomarkers and prioritize proteins for therapeutic intervention. The resulting information may also clarify which cellular processes are disrupted, such as signaling, transport, or protein degradation. These outcomes provide a biochemical basis for selecting proteins for additional diagnostic or treatment research.
Once a disease-linked protein or mechanism is identified, researchers can use that information to support diagnostic assay development or explore treatments that restore protein function. In other cases, the goal may be to limit harmful interactions produced by abnormal proteins. Thus, biochemical association studies connect mechanistic evidence with strategies for detecting or modifying disease.