Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

KERIS

General information

URL: http://www.igenomed.org/keris/
Full name: The kaleidoscope of gene responses to inflammation among species
Description: We developed KERIS to help the research community to better explore the similarities and differences of genomic response between human inflammatory diseases and murine models.
Year founded: 2017
Last update: 2017-01-01
Version:
Accessibility:
Accessible
Country/Region: United States

Classification & Tag

Data type:
Data object:
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Keywords:

Contact information

University/Institution: Massachusetts General Hospital
Address: 38 Sidney
City: Cambridge
Province/State: Massachusetts
Country/Region: United States
Contact name (PI/Team): Wenzhong Xiao,
Contact email (PI/Helpdesk): wenzhong.xiao@mgh.harvard.edu

Publications

27789704
KERIS: kaleidoscope of gene responses to inflammation between species. [PMID: 27789704]
Li P, Tompkins RG, Xiao W, the Inflammation and Host Response to Injury Large-Scale Collaborative Research Program.

A cornerstone of modern biomedical research is the use of animal models to study disease mechanisms and to develop new therapeutic approaches. In order to help the research community to better explore the similarities and differences of genomic response between human inflammatory diseases and murine models, we developed KERIS: kaleidoscope of gene responses to inflammation between species (available at http://www.igenomed.org/keris/). As of June 2016, KERIS includes comparisons of the genomic response of six human inflammatory diseases (burns, trauma, infection, sepsis, endotoxin and acute respiratory distress syndrome) and matched mouse models, using 2257 curated samples from the Inflammation and the Host Response to Injury Glue Grant studies and other representative studies in Gene Expression Omnibus. A researcher can browse, query, visualize and compare the response patterns of genes, pathways and functional modules across different diseases and corresponding murine models. The database is expected to help biologists choosing models when studying the mechanisms of particular genes and pathways in a disease and prioritizing the translation of findings from disease models into clinical studies. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2017:45(D1) | 7 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
5548/6895 (19.55%)
Health and medicine:
1414/1738 (18.7%)
5548
Total Rank
7
Citations
0.875
z-index

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Record metadata

Created on: 2017-02-20
Curated by:
Lina Ma [2017-06-15]
Shixiang Sun [2017-02-20]