Related Experiment Video
Updated: Jan 24, 2026

Seawater Sampling and Collection
Published on: June 17, 2009
AmyCo: the amyloidoses collection
Katerina C Nastou1, Georgia I Nasi1, Paraskevi L Tsiolaki1
1a Section of Cell Biology and Biophysics, Department of Biology, School of Sciences, National and Kapodistrian University of Athens , Panepistimiopolis , Athens , Greece.
Abstract:
Amyloid fibrils are formed when soluble proteins misfold into highly ordered insoluble fibrillar aggregates and affect various organs and tissues. The deposition of amyloid fibrils is the main hallmark of a group of disorders, called amyloidoses. Curiously, fibril deposition has been also recorded as a complication in a number of other pathological conditions, including well-known neurodegenerative or endocrine diseases. To date, amyloidoses are roughly classified, owing to their tremendous heterogeneity. In this work, we introduce AmyCo, a freely available collection of amyloidoses and clinical disorders related to amyloid deposition. AmyCo classifies 75 diseases associated with amyloid deposition into two distinct categories, namely 1) amyloidosis and 2) clinical conditions associated with amyloidosis. Each database entry is annotated with the major protein component (causative protein), other components of amyloid deposits and affected tissues or organs. Database entries are also supplemented with appropriate detailed annotation and are referenced to ICD-10, MeSH, OMIM, PubMed, AmyPro and UniProtKB databases. To our knowledge, AmyCo is the first attempt towards the creation of a complete and an up-to-date repository, containing information about amyloidoses and diseases related to amyloid deposition. The AmyCo web interface is available at http://bioinformatics.biol.uoa.gr/amyco .
Insights
Amyloid fibrils, linked to amyloidoses and other diseases, are now cataloged in AmyCo. This new database offers a comprehensive resource for understanding amyloid deposition disorders.
Area of Science:
- Biochemistry
- Pathology
- Bioinformatics
Background:
- Amyloid fibrils result from protein misfolding and aggregation, leading to amyloidoses and complications in other diseases.
- The heterogeneity of amyloidoses necessitates better classification and understanding.
- Amyloid deposition is a hallmark of various pathological conditions, including neurodegenerative and endocrine diseases.
Purpose of the Study:
- To introduce AmyCo, a freely accessible database of diseases associated with amyloid deposition.
- To classify 75 diseases into distinct categories: amyloidosis and clinical conditions with amyloidosis.
- To provide a centralized, up-to-date repository for amyloid-related disorder information.
Main Methods:
- Development of a comprehensive collection of amyloidoses and related clinical disorders.
- Classification of diseases based on amyloid deposition.
- Annotation of database entries with causative proteins, deposit components, and affected tissues.
- Cross-referencing with established databases like ICD-10, MeSH, OMIM, PubMed, AmyPro, and UniProtKB.
Main Results:
- AmyCo classifies 75 diseases related to amyloid deposition.
- Each entry details the major protein component, other deposit constituents, and affected organs.
- Database entries are extensively annotated and linked to multiple external resources.
Conclusions:
- AmyCo represents the first comprehensive and up-to-date repository for amyloidoses and associated diseases.
- The database facilitates research and understanding of amyloid deposition disorders.
- The AmyCo web interface is publicly available for access and utilization.
Related Concept Videos
Data Collection II
Data Collection I
Data Collection by Experiments
An example of the experimental method is a public...
Data Collection by Survey
Data Collection III
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...

