EsccAtlas Edit

Citations: 0

z-index: 0

Basic information
Short name EsccAtlas
Full name Esophageal Squamous Cell Carcinoma Atlas
Description a manually curated database that integrates genetic, epigenetic, transcriptomic, and proteomic ESCC-related genes from the published literature.
URL http://www.esccatlas.org
Year founded
Last update & version
Accessibility Accessible
Contact information

The contact information is provided to facilitate update of database information, and it is curated based on the contact details in the database or the related publications. To ensure effective contact with database constructors, we give priority to the contact details in the database.

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
Data information
Data object
Data type
Database category
Major organism
Keyword
Publications
  • ESCC ATLAS: A population wide compendium of biomarkers for Esophageal Squamous Cell Carcinoma. [PMID: 30143675]
    Asna Tungekar, Sumana Mandarthi, Pooja Rajendra Mandaviya, Veerendra P Gadekar, Ananthajith Tantry, Sowmya Kotian, Jyotshna Reddy, Divya Prabha, Sushma Bhat, Sweta Sahay, Roshan Mascarenhas, Raghavendra Rao Badkillaya, Manoj Kumar Nagasampige, Mohan Yelnadu, Harsh Pawar, Prashantha Hebbar, Manoj Kumar Kashyap

    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, 2019-07-27)

Rank

  • Ranking in all databases: No. 0
  • Ranking in category/categories:
    • Gene genome and annotation: No. 0
    • Expression: No. 0
    • Modification: No. 0
    • Literature: No. 0
The box plots depict Z-index distribution for all databases in Database Commons and for specific database category/categories. The red line indicates log2(Z-index) of EsccAtlas.

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Record metadata

  • Created on: 2019-01-04
    • ***d@***c.cn [2019-01-11]
    • ***d@***c.cn [2019-01-11]
    • ***d@***c.cn [2019-01-04]

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