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IPCT: Integrated Pharmacogenomic Platform of Human Cancer Cell Lines and Tissues

(1) Motivation: The exponential increase in multilayered data, including omics, pathways, chemicals, and experimental models, requires innovative strategies to identify new linkages between drug response information and omics features. Despite the availability of databases such as the Cancer Cell Li...

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Autores principales: Shoaib, Muhammad, Ansari, Adnan Ahmad, Haq, Farhan, Ahn, Sung Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409836/
https://www.ncbi.nlm.nih.gov/pubmed/30813377
http://dx.doi.org/10.3390/genes10020171
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author Shoaib, Muhammad
Ansari, Adnan Ahmad
Haq, Farhan
Ahn, Sung Min
author_facet Shoaib, Muhammad
Ansari, Adnan Ahmad
Haq, Farhan
Ahn, Sung Min
author_sort Shoaib, Muhammad
collection PubMed
description (1) Motivation: The exponential increase in multilayered data, including omics, pathways, chemicals, and experimental models, requires innovative strategies to identify new linkages between drug response information and omics features. Despite the availability of databases such as the Cancer Cell Line Encyclopedia (CCLE), the Cancer Therapeutics Response Portal (CTRP), and The Cancer Genome Atlas (TCGA), it is still challenging for biologists to explore the relationship between drug response and underlying genomic features due to the heterogeneity of the data. In light of this, the Integrated Pharmacogenomic Database of Cancer Cell Lines and Tissues (IPCT) has been developed as a user-friendly way to identify new linkages between drug responses and genomic features, as these findings can lead not only to new biological discoveries but also to new clinical trials. (2) Results: The IPCT allows biologists to compare the genomic features of sensitive cell lines or small molecules with the genomic features of tumor tissues by integrating the CTRP and CCLE databases with the REACTOME, cBioPortal, and Expression Atlas databases. The input consists of a list of small molecules, cell lines, or genes, and the output is a graph containing data entities connected with the queried input. Users can apply filters to the databases, pathways, and genes as well as select computed sensitivity values and mutation frequency scores to generate a relevant graph. Different objects are differentiated based on the background color of the nodes. Moreover, when multiple small molecules, cell lines, or genes are input, users can see their shared connections to explore the data entities common between them. Finally, users can view the resulting graphs in the online interface or download them in multiple image or graph formats. (3) Availability and Implementation: The IPCT is available as a web application with an integrated MySQL database. The web application was developed using Java and deployed on the Tomcat server. The user interface was developed using HTML5, JQuery v.3.1.0, and the Cytoscape Graph API v.1.0.4. The IPCT web and the source code are available in Sample Availability section.
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spelling pubmed-64098362019-03-26 IPCT: Integrated Pharmacogenomic Platform of Human Cancer Cell Lines and Tissues Shoaib, Muhammad Ansari, Adnan Ahmad Haq, Farhan Ahn, Sung Min Genes (Basel) Article (1) Motivation: The exponential increase in multilayered data, including omics, pathways, chemicals, and experimental models, requires innovative strategies to identify new linkages between drug response information and omics features. Despite the availability of databases such as the Cancer Cell Line Encyclopedia (CCLE), the Cancer Therapeutics Response Portal (CTRP), and The Cancer Genome Atlas (TCGA), it is still challenging for biologists to explore the relationship between drug response and underlying genomic features due to the heterogeneity of the data. In light of this, the Integrated Pharmacogenomic Database of Cancer Cell Lines and Tissues (IPCT) has been developed as a user-friendly way to identify new linkages between drug responses and genomic features, as these findings can lead not only to new biological discoveries but also to new clinical trials. (2) Results: The IPCT allows biologists to compare the genomic features of sensitive cell lines or small molecules with the genomic features of tumor tissues by integrating the CTRP and CCLE databases with the REACTOME, cBioPortal, and Expression Atlas databases. The input consists of a list of small molecules, cell lines, or genes, and the output is a graph containing data entities connected with the queried input. Users can apply filters to the databases, pathways, and genes as well as select computed sensitivity values and mutation frequency scores to generate a relevant graph. Different objects are differentiated based on the background color of the nodes. Moreover, when multiple small molecules, cell lines, or genes are input, users can see their shared connections to explore the data entities common between them. Finally, users can view the resulting graphs in the online interface or download them in multiple image or graph formats. (3) Availability and Implementation: The IPCT is available as a web application with an integrated MySQL database. The web application was developed using Java and deployed on the Tomcat server. The user interface was developed using HTML5, JQuery v.3.1.0, and the Cytoscape Graph API v.1.0.4. The IPCT web and the source code are available in Sample Availability section. MDPI 2019-02-22 /pmc/articles/PMC6409836/ /pubmed/30813377 http://dx.doi.org/10.3390/genes10020171 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shoaib, Muhammad
Ansari, Adnan Ahmad
Haq, Farhan
Ahn, Sung Min
IPCT: Integrated Pharmacogenomic Platform of Human Cancer Cell Lines and Tissues
title IPCT: Integrated Pharmacogenomic Platform of Human Cancer Cell Lines and Tissues
title_full IPCT: Integrated Pharmacogenomic Platform of Human Cancer Cell Lines and Tissues
title_fullStr IPCT: Integrated Pharmacogenomic Platform of Human Cancer Cell Lines and Tissues
title_full_unstemmed IPCT: Integrated Pharmacogenomic Platform of Human Cancer Cell Lines and Tissues
title_short IPCT: Integrated Pharmacogenomic Platform of Human Cancer Cell Lines and Tissues
title_sort ipct: integrated pharmacogenomic platform of human cancer cell lines and tissues
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409836/
https://www.ncbi.nlm.nih.gov/pubmed/30813377
http://dx.doi.org/10.3390/genes10020171
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