MetaTropismDB: a database of organ-specific metastasis induced by human cancer cell lines in mouse models. (25th November 2020)
- Record Type:
- Journal Article
- Title:
- MetaTropismDB: a database of organ-specific metastasis induced by human cancer cell lines in mouse models. (25th November 2020)
- Main Title:
- MetaTropismDB: a database of organ-specific metastasis induced by human cancer cell lines in mouse models
- Authors:
- Giulietti, Matteo
Bastianoni, Marco
Cecati, Monia
Ruzzo, Annamaria
Bracci, Massimo
Malavolta, Marco
Piacenza, Francesco
Giacconi, Robertina
Piva, Francesco - Abstract:
- Abstract: The organotropism is the propensity of metastatic cancer cells to colonize preferably certain distant organs, resulting in a non-random distribution of metastases. In order to shed light on this behaviour, several studies were performed by the injection of human cancer cell lines into immunocompromised mouse models. However, the information about these experiments is spread in the literature. For each xenograft experiment reported in the literature, we annotated both the experimental conditions and outcomes, including details on inoculated human cell lines, mouse models, injection methods, sites of metastasis, organs not colonized, rate of metastasis, latency time, overall survival and the involved genes. We created MetaTropismDB, a freely available database collecting hand-curated data useful to highlight the mechanisms of organ-specific metastasis. Currently, it stores the results of 513 experiments in which injections of 219 human cell lines have been carried out in mouse models. Notably, 296 genes involved in organotropic metastases have been collected. This specialized database allows the researchers to compare the current results about organotropism and plan future experiments in order to identify which tumour molecular signatures establish if and where the metastasis will develop. Database URL: http://www.introni.it/Metastasis/metastasis.html
- Is Part Of:
- Database. Volume 2020(2020)
- Journal:
- Database
- Issue:
- Volume 2020(2020)
- Issue Display:
- Volume 2020, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 2020
- Issue:
- 2020
- Issue Sort Value:
- 2020-2020-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-11-25
- Subjects:
- Biology -- Databases -- Periodicals
Bioinformatics -- Periodicals
570.285 - Journal URLs:
- http://database.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/database/baaa100 ↗
- Languages:
- English
- ISSNs:
- 1758-0463
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26038.xml