Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database information

EsccAtlas (Esophageal Squamous Cell Carcinoma Atlas)

General information

Description: a manually curated database that integrates genetic, epigenetic, transcriptomic, and proteomic ESCC-related genes from the published literature.
Year founded: 2018
Last update:
Version:
Accessibility:
Manual:
Accessible
Real time : Checking...
Country/Region: India
Data type:
Data object:
Database category:
Major organism:
Keywords:

Contact information

University/Institution: Manipal University
Address: Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India
City:
Province/State:
Country/Region: India
Contact name (PI/Team): Prashantha Hebbar
Contact email (PI/Helpdesk): phebbar@mbiomics.org

Related Database

Record metadata

Created on: 2019-01-04
Curated by:
Dong Zou [2019-01-11]
Dong Zou [2019-01-04]

Ranking

0
Citations
0
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Publications

30143675
ESCC ATLAS: A population wide compendium of biomarkers for Esophageal Squamous Cell Carcinoma. [PMID: 30143675]
Tungekar A, Mandarthi S, Mandaviya PR, Gadekar VP, Tantry A, Kotian S, Reddy J, Prabha D, Bhat S, Sahay S, Mascarenhas R, Badkillaya RR, Nagasampige MK, Yelnadu M, Pawar H, Hebbar P, Kashyap MK.

Esophageal cancer (EC) is the eighth most aggressive malignancy and its treatment remains a challenge due to the lack of biomarkers that can facilitate early detection. EC is identified in two major histological forms namely - Adenocarcinoma (EAC) and Squamous cell carcinoma (ESCC), each showing differences in the incidence among populations that are geographically separated. Hence the detection of potential drug target and biomarkers demands a population-centric understanding of the molecular and cellular mechanisms of EC. To provide an adequate impetus to the biomarker discovery for ESCC, which is the most prevalent esophageal cancer worldwide, here we have developed ESCC ATLAS, a manually curated database that integrates genetic, epigenetic, transcriptomic, and proteomic ESCC-related genes from the published literature. It consists of 3475 genes associated to molecular signatures such as, altered transcription (2600), altered translation (560), contain copy number variation/structural variations (233), SNPs (102), altered DNA methylation (82), Histone modifications (16) and miRNA based regulation (261). We provide a user-friendly web interface ( http://www.esccatlas.org , freely accessible for academic, non-profit users) that facilitates the exploration and the analysis of genes among different populations. We anticipate it to be a valuable resource for the population specific investigation and biomarker discovery for ESCC.

Sci Rep. 2018:8(1) | 0 Citations (from Europe PMC, 2020-05-30)