AnAge is a curated database of aging and life history in animals, including extensive longevity records. AnAge was primarily developed for comparative biology studies, in particular studies of longevity and aging, but can also be useful for ecological and conservation studies and as a reference for zoos and field biologists.
It can be used to find outlier animals with unusual longevity.
The ocean quahog (Arctica islandica) is a species of edible clam. Arctica islandica resembles the quahog, but the shell of the ocean quahog is rounder, the periostracum is usually black, and on the interior of the shell, the pallial line has no indentation, or sinus. Unlike the quahog, which lives intertidally and can be collected by clam digging, this species lives subtidally, and can only be collected by dredging. They grow to sizes exceeding 50 mm shell height. An individual specimen was reported to have lived 507 years.
Adwaita, an Aldabra giant tortoise, died at an estimated age of 255 in March 2006 in Alipore Zoo, Kolkata, India. If verified, it will have been the oldest terrestrial animal in the world.
Currently there are 4,244 entries (4,219 species and 25 taxa).
There are 3776 animal longevity records in the database.
Longevity Map
LongevityMap is a database of human genetic variants associated with longevity. Negative results are also included in the LongevityMap to provide visitors with as much information as possible regarding each gene and variant previously studied in context of longevity. As such, the LongevityMap serves as a repository of genetic association studies of longevity and reflects our current knowledge of the genetics of human longevity.
LongevityMap can be done by gene or genetic variant.
There are currently 274 significant aging related genes.
Dietary restriction related genes
GenDR Database of Dietary Restriction-Related Genes
Dietary restriction (DR), limiting nutrient intake from diet without causing malnutrition, retards age-related degeneration and extends lifespan in multiple organisms. DR induces multiple changes, yet its underlying mechanisms remain poorly understood. To facilitate research on the genetic and molecular mechanisms of DR-induced life-extension, we developed GenDR, a database of genes associated with DR. GenDR includes two datasets: 1) genes inferred from experiments in model organisms in which genetic manipulations cancel out or disrupt the life-extending effects of DR; 2) genes robustly altered due to DR, derived from a meta-analysis of microarray DR studies in mammals. An analysis of the gene network of DR has also been performed using GenDR.
Understanding the genetic basis of DR is of great importance not only to the biology of ageing but to understand how diet can influence aging, longevity, health and age-related diseases. Pharmaceutical interventions that target DR-associated genes are also an emerging area with huge potential.
GenAge Database of Ageing-Related Genes
GenAge is the benchmark database of genes related to aging. GenAge is divided into genes related to longevity and/or aging in model organisms (yeast, worms, flies, mice, etc.) and aging-related human genes. The section on human aging-related genes includes the few genes directly related to aging in humans plus the best candidate genes obtained from model organisms. Human genes are thus considerably better annotated and include more information. GenAge is manually curated by experts to ensure high-quality content.
DrugAge Database of Anti-Aging Drugs
The DrugAge database contains an extensive compilation of drugs, compounds and supplements (including natural products and nutraceuticals) with anti-aging properties that extend longevity in model organisms. Our focus is on drugs/compounds potentially impacting on aging, and therefore drugs/compounds extending lifespan in disease-prone animals (e.g., cancer models) are excluded.
Lifespan increasing assays: 1,035
Lifespan decreasing assays: 201
Distinct drugs: 418
Distinct species: 27
CellAge: The Database of Cell Senescence Genes
Cell senescence can be defined as the irreversible cessation of cell division of normallyproliferating cells. Human cells become senescent from progressive shortening of telomeres as cells divide, stress or oncogenes. Primarily an anti-tumour mechanism, senescent cells accumulate with age in tissues and have been associated with degeneration and ageing of whole organisms. Many proteins have been linked to cell senescence as biomarkers and as causal drivers. To facilitate studies focused on cell senescence, we developed CellAge, a database of genes associated with cell senescence. Our manually-curated data is based on gene manipulation experiments in different human cell types. A gene expression signature of cellular senescence will also be made available in due course.
CellAge is in the beta phase of development and therefore still being improved and expanded.