GENIPAC: A Genomic Information Portal for Head and Neck Cancer Cell Systems
Head and neck cancer (HNC)–derived cell lines represent fundamental models for studying the biological mechanisms underlying cancer development and precision therapies. However, mining the genomic information of HNC cells from available databases requires knowledge on bioinformatics and computationa...
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my.um.eprints.215372019-06-26T03:16:35Z http://eprints.um.edu.my/21537/ GENIPAC: A Genomic Information Portal for Head and Neck Cancer Cell Systems Lee, Beverly K.B. Gan, Chai Phei Chang, Jit Kang Tan, Joon Liang Fadlullah, Muhammad Zaki Hidayatullah Rahman, Zainal Ariff Abdul Prime, Stephen Stewart Gutkind, Jorge Silvio Liew, Chee Sun Khang, Tsung Fei Tan, Aik Choon Cheong, Sok Ching Q Science (General) QA Mathematics QA75 Electronic computers. Computer science R Medicine RK Dentistry Head and neck cancer (HNC)–derived cell lines represent fundamental models for studying the biological mechanisms underlying cancer development and precision therapies. However, mining the genomic information of HNC cells from available databases requires knowledge on bioinformatics and computational skill sets. Here, we developed a user-friendly web resource for exploring, visualizing, and analyzing genomics information of commonly used HNC cell lines. We populated the current version of GENIPAC with 44 HNC cell lines from 3 studies: ORL Series, OPC-22, and H Series. Specifically, the mRNA expressions for all the 3 studies were derived with RNA-seq. The copy number alterations analysis of ORL Series was performed on the Genome Wide Human Cytoscan HD array, while copy number alterations for OPC-22 were derived from whole exome sequencing. Mutations from ORL Series and H Series were derived from RNA-seq information, while OPC-22 was based on whole exome sequencing. All genomic information was preprocessed with customized scripts and underwent data validation and correction through data set validator tools provided by cBioPortal. The clinical and genomic information of 44 HNC cell lines are easily assessable in GENIPAC. The functional utility of GENIPAC was demonstrated with some of the genomic alterations that are commonly reported in HNC, such as TP53, EGFR, CCND1, and PIK3CA. We showed that these genomic alterations as reported in The Cancer Genome Atlas database were recapitulated in the HNC cell lines in GENIPAC. Importantly, genomic alterations within pathways could be simultaneously visualized. We developed GENIPAC to create access to genomic information on HNC cell lines. This cancer omics initiative will help the research community to accelerate better understanding of HNC and the development of new precision therapeutic options for HNC treatment. GENIPAC is freely available at http://genipac.cancerresearch.my/. SAGE Publications 2018 Article PeerReviewed Lee, Beverly K.B. and Gan, Chai Phei and Chang, Jit Kang and Tan, Joon Liang and Fadlullah, Muhammad Zaki Hidayatullah and Rahman, Zainal Ariff Abdul and Prime, Stephen Stewart and Gutkind, Jorge Silvio and Liew, Chee Sun and Khang, Tsung Fei and Tan, Aik Choon and Cheong, Sok Ching (2018) GENIPAC: A Genomic Information Portal for Head and Neck Cancer Cell Systems. Journal of Dental Research, 97 (8). pp. 909-916. ISSN 0022-0345 https://doi.org/10.1177/0022034518759038 doi:10.1177/0022034518759038 |
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Q Science (General) QA Mathematics QA75 Electronic computers. Computer science R Medicine RK Dentistry Lee, Beverly K.B. Gan, Chai Phei Chang, Jit Kang Tan, Joon Liang Fadlullah, Muhammad Zaki Hidayatullah Rahman, Zainal Ariff Abdul Prime, Stephen Stewart Gutkind, Jorge Silvio Liew, Chee Sun Khang, Tsung Fei Tan, Aik Choon Cheong, Sok Ching GENIPAC: A Genomic Information Portal for Head and Neck Cancer Cell Systems |
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Head and neck cancer (HNC)–derived cell lines represent fundamental models for studying the biological mechanisms underlying cancer development and precision therapies. However, mining the genomic information of HNC cells from available databases requires knowledge on bioinformatics and computational skill sets. Here, we developed a user-friendly web resource for exploring, visualizing, and analyzing genomics information of commonly used HNC cell lines. We populated the current version of GENIPAC with 44 HNC cell lines from 3 studies: ORL Series, OPC-22, and H Series. Specifically, the mRNA expressions for all the 3 studies were derived with RNA-seq. The copy number alterations analysis of ORL Series was performed on the Genome Wide Human Cytoscan HD array, while copy number alterations for OPC-22 were derived from whole exome sequencing. Mutations from ORL Series and H Series were derived from RNA-seq information, while OPC-22 was based on whole exome sequencing. All genomic information was preprocessed with customized scripts and underwent data validation and correction through data set validator tools provided by cBioPortal. The clinical and genomic information of 44 HNC cell lines are easily assessable in GENIPAC. The functional utility of GENIPAC was demonstrated with some of the genomic alterations that are commonly reported in HNC, such as TP53, EGFR, CCND1, and PIK3CA. We showed that these genomic alterations as reported in The Cancer Genome Atlas database were recapitulated in the HNC cell lines in GENIPAC. Importantly, genomic alterations within pathways could be simultaneously visualized. We developed GENIPAC to create access to genomic information on HNC cell lines. This cancer omics initiative will help the research community to accelerate better understanding of HNC and the development of new precision therapeutic options for HNC treatment. GENIPAC is freely available at http://genipac.cancerresearch.my/. |
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Article |
author |
Lee, Beverly K.B. Gan, Chai Phei Chang, Jit Kang Tan, Joon Liang Fadlullah, Muhammad Zaki Hidayatullah Rahman, Zainal Ariff Abdul Prime, Stephen Stewart Gutkind, Jorge Silvio Liew, Chee Sun Khang, Tsung Fei Tan, Aik Choon Cheong, Sok Ching |
author_facet |
Lee, Beverly K.B. Gan, Chai Phei Chang, Jit Kang Tan, Joon Liang Fadlullah, Muhammad Zaki Hidayatullah Rahman, Zainal Ariff Abdul Prime, Stephen Stewart Gutkind, Jorge Silvio Liew, Chee Sun Khang, Tsung Fei Tan, Aik Choon Cheong, Sok Ching |
author_sort |
Lee, Beverly K.B. |
title |
GENIPAC: A Genomic Information Portal for Head and Neck Cancer Cell Systems |
title_short |
GENIPAC: A Genomic Information Portal for Head and Neck Cancer Cell Systems |
title_full |
GENIPAC: A Genomic Information Portal for Head and Neck Cancer Cell Systems |
title_fullStr |
GENIPAC: A Genomic Information Portal for Head and Neck Cancer Cell Systems |
title_full_unstemmed |
GENIPAC: A Genomic Information Portal for Head and Neck Cancer Cell Systems |
title_sort |
genipac: a genomic information portal for head and neck cancer cell systems |
publisher |
SAGE Publications |
publishDate |
2018 |
url |
http://eprints.um.edu.my/21537/ https://doi.org/10.1177/0022034518759038 |
_version_ |
1643691587432087552 |