Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

XDeathDB

General information

URL: https://pcm2019.shinyapps.io/XDeathDB
Full name:
Description: XDeathDB is a visualization platform for cell death molecular interactions. The database presents crosstalk data in genes between different networks of cell death modes and biochemical pathways involved in cell death modes. Through this, pathways utilized by cell death modes can be deduced to react in a foreseeable manner with the aid of outlined network functions.
Year founded: 2021
Last update:
Version:
Accessibility:
Accessible
Country/Region: United States

Classification & Tag

Data type:
Data object:
NA
Database category:
Major species:
Keywords:

Contact information

University/Institution: Ohio State University
Address:
City:
Province/State:
Country/Region: United States
Contact name (PI/Team): Lijun Cheng
Contact email (PI/Helpdesk): lijun.cheng@osumc.edu

Publications

34907160
XDeathDB: a visualization platform for cell death molecular interactions. [PMID: 34907160]
Venkat Sundar Gadepalli, Hangil Kim, Yueze Liu, Tao Han, Lijun Cheng

Lots of cell death initiator and effector molecules, signalling pathways and subcellular sites have been identified as key mediators in both cell death processes in cancer. The XDeathDB visualization platform provides a comprehensive cell death and their crosstalk resource for deciphering the signaling network organization of interactions among different cell death modes associated with 1461 cancer types and COVID-19, with an aim to understand the molecular mechanisms of physiological cell death in disease and facilitate systems-oriented novel drug discovery in inducing cell deaths properly. Apoptosis, autosis, efferocytosis, ferroptosis, immunogenic cell death, intrinsic apoptosis, lysosomal cell death, mitotic cell death, mitochondrial permeability transition, necroptosis, parthanatos, and pyroptosis related to 12 cell deaths and their crosstalk can be observed systematically by the platform. Big data for cell death gene-disease associations, gene-cell death pathway associations, pathway-cell death mode associations, and cell death-cell death associations is collected by literature review articles and public database from iRefIndex, STRING, BioGRID, Reactom, Pathway's commons, DisGeNET, DrugBank, and Therapeutic Target Database (TTD). An interactive webtool, XDeathDB, is built by web applications with R-Shiny, JavaScript (JS) and Shiny Server Iso. With this platform, users can search specific interactions from vast interdependent networks that occur in the realm of cell death. A multilayer spectral graph clustering method that performs convex layer aggregation to identify crosstalk function among cell death modes for a specific cancer. 147 hallmark genes of cell death could be observed in detail in these networks. These potential druggable targets are displayed systematically and tailoring networks to visualize specified relations is available to fulfil user-specific needs. Users can access XDeathDB for free at https://pcm2019.shinyapps.io/XDeathDB/ .

Cell Death Dis. 2021:12(12) | 12 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
3661/6895 (46.918%)
Interaction:
677/1194 (43.384%)
Pathway:
226/451 (50.111%)
Health and medicine:
913/1738 (47.526%)
3661
Total Rank
10
Citations
2.5
z-index

Community reviews

Not Rated
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Record metadata

Created on: 2022-04-24
Curated by:
Lin Liu [2022-08-22]
Lina Ma [2022-05-30]
sun yongqing [2022-05-15]
Pei Liu [2022-04-24]