iCartiGD: the Integrated Cartilage Gene Database

doi:10.1186/1471-2156-8-4

BMC Genetics
Volume 8

Viewing options:

Abstract
Full text
PDF (680KB)

Associated material:

Related literature:

Articles citing this article
on Google Scholar
on ISI Web of Science
on PubMed Central
Other articles by authors
on Google Scholar

Yeung MY
Smith DK
Chan MS
Li CM
Wong BC
Cheung KM
Luk KD
Cheah KS
Sham P
Chan D
Song YQ

on PubMed

Yeung MY
Smith DK
Chan MS
Li CM
Wong BC
Cheung KM
Luk KD
Cheah KS
Sham P
Chan D
Song YQ
Related articles/pages
on Google

on Google Scholar

on PubMed

Tools:

Post to:

Database

iCartiGD: the Integrated Cartilage Gene Database

Ming-Yiu Yeung^*¹ , David K Smith^*¹ , Matthew SY Chan¹ , Cheuk M Li¹ , Brian C Wong¹ , Kenneth MC Cheung² , Keith DK Luk² , Kathryn SE Cheah¹ , Pak Sham³^,4 , Danny Chan¹ and You-Qiang Song¹^,2^,4

¹Department of Biochemistry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Rd, Pokfulam, Hong Kong, China

²Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Rd, Pokfulam, Hong Kong, China

³Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Rd, Pokfulam, Hong Kong, China

⁴Genome Research Centre, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Rd, Pokfulam, Hong Kong, China

author email corresponding author email* Contributed equally

BMC Genetics 2007, 8:4doi:10.1186/1471-2156-8-4


Published:	23 February 2007

Abstract

Background

Diseases of cartilage, such as arthritis and degenerative disc disease, affect the majority of the general population, particularly with ageing. Discovery and understanding of the genes and pathways involved in cartilage biology will greatly assist research on the development, degeneration and disorders of cartilage.

Description

We have established the Integrated Cartilage Gene Database (iCartiGD) of genes that are known, based on results from high throughput experiments, to be expressed in cartilage. Information about these genes is extracted automatically from public databases and presented as a single page report via a web-browser. A variety of flexible search options are provided and the chromosomal distribution of cartilage associated genes can be presented.

Conclusion

iCartiGD provides a comprehensive source of information on genes known to be expressed in cartilage. It will remain current due to its automatic update capability and provide researchers with an easily accessible resource for studies involving cartilage. Genetic studies of the development and disorders of cartilage will benefit from this database.