Misha Batin
IGF1 or how we will defeat aging
IGF1 is the most mysterious gene in aging. Its partial shutdown extended life to all animals. "Not yet, but that's the mystery. What should be done in addition to achieve the effect of increasing life expectancy?
But you and I know what needs to be done. It is necessary to collect all the information about such genes and formalize it.
Look, there is such a text (for a moment, this is the best thing you can find about IGF1).
But this information is impossible to work with. It's just a story. I need to organize everything in order to build the model. Moreover, this is not enough information.
We weren't the first to come up with this idea.
Known to us in the database (DB) genes about aging:
HAGR (Human Aging Genomic Resources — - data on genes associated with aging, project by Jao Pedro de Megalis
Ag agefactdb (genage Aging Factor Database — - data from geneage
http://www.uwaging.org/genesdb/#genes — data on genes associated with aging
CID (CISBAN Interactomes Database)l — base about the interactions of genes associated with aging
DAA (Digital Aging Atlas — - data on age-related changes in gene expression
senequest (ISCA, International Cell Senescence Association) - data on changes in gene regulation during aging
HCSGD (Human Cellular Senescence Gene Database) — DATABASE on human cellular aging
CS csgene (Cell Senescence Gene) Database — a database of genes associated with cellular aging
Insilico (a closed commercial project that we don't have access to)
Known gene databases:
Hom homologene — an extensive database of scientific data
Gen GeneCards: The Human Gene Database-an extensive database of genes and proteins
UniProt — an extensive database of genes and proteins
Gen Gene Ontology - database of gene functions
Human Protein Atlas-a database of proteins, cells, tissues, and metabolic pathways
Dis DisGeNET-a resource on gene associations with diseases
BioGrid (Biological General Repository of Interaction Datasets) — information about the interactions of genes
We have a list of another 6000 biological databases.
So, what are we missing in the existing databases:
Complete structured information about changes in the work of genes that prolong the life of animals;
Information about allelic variants of genes associated with longevity in humans;
Complete information on age-related average population changes in gene expression in human and animal tissues;
Data on the evolutionary history of the gene;
Displays a list of all genes and their main characteristics in an easy-to-use tabular format;
Ability to group genes according to different criteria and their combinations;
Constantly updated information.
That is, we need to describe 500-1000 genes well. It's not just the genes, of course. It is necessary to create databases on age-related changes in lipids, the activity of retrotransposons, to describe all damages and their contribution to aging, changes in the cellular repertoire, the composition of vesicles, and so on. But that's later.
Moreover, this is the data of the literature. At some point, you need to start collecting your own omix data on human aging.
A database of genes associated with aging and longevity is a minimal step. If it's not filled in, then we haven't even tried to see the whole picture.
https://open-genes.com
Without this work, there will also be no aging diagnosis. We cannot ignore information about the work of important genes when creating it.
By the way, about IGF1, please, one more text.
Once again, I want to emphasize that all such information needs to be formalized, otherwise we are drowning in millions of pages or ignoring most of the facts when trying to create a cure for old age.
So far, our plan is simple. Convince everyone that the project is important and necessary, and look for people who can do it together with us.