Combined Analysis of SNP Array Data Identifies Novel CNV Candidates and Pathways in Ependymoma and Mesothelioma
Joint Authors
Wajnberg, Gabriel
Carvalho, Benilton S.
Ferreira, Carlos G.
Passetti, Fabio
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Copy number variation is a class of structural genomic modifications that includes the gain and loss of a specific genomic region, which may include an entire gene.
Many studies have used low-resolution techniques to identify regions that are frequently lost or amplified in cancer.
Usually, researchers choose to use proprietary or non-open-source software to detect these regions because the graphical interface tends to be easier to use.
In this study, we combined two different open-source packages into an innovative strategy to identify novel copy number variations and pathways associated with cancer.
We used a mesothelioma and ependymoma published datasets to assess our tool.
We detected previously described and novel copy number variations that are associated with cancer chemotherapy resistance.
We also identified altered pathways associated with these diseases, like cell adhesion in patients with mesothelioma and negative regulation of glutamatergic synaptic transmission in ependymoma patients.
In conclusion, we present a novel strategy using open-source software to identify copy number variations and altered pathways associated with cancer.
American Psychological Association (APA)
Wajnberg, Gabriel& Carvalho, Benilton S.& Ferreira, Carlos G.& Passetti, Fabio. 2015. Combined Analysis of SNP Array Data Identifies Novel CNV Candidates and Pathways in Ependymoma and Mesothelioma. BioMed Research International،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057170
Modern Language Association (MLA)
Wajnberg, Gabriel…[et al.]. Combined Analysis of SNP Array Data Identifies Novel CNV Candidates and Pathways in Ependymoma and Mesothelioma. BioMed Research International No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057170
American Medical Association (AMA)
Wajnberg, Gabriel& Carvalho, Benilton S.& Ferreira, Carlos G.& Passetti, Fabio. Combined Analysis of SNP Array Data Identifies Novel CNV Candidates and Pathways in Ependymoma and Mesothelioma. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057170
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057170