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Paper Information

Journal:   MIDDLE EAST JOURNAL OF CANCER   JANUARY 2016 , Volume 7 , Number 1; Page(s) 31 To 40.
 
Paper: 

PROTEOMIC CLUSTER ANALYSIS OF MALIGNANT GLIOMAS IN HUMANS

 
 
Author(s):  HASHEMI MEHRDAD*, POOLADI MEHDI, KHAGHANI RAZI ABAD SOLMAZ, MOVAFAGH ABOLFAZL, ENTEZARI MALIHEH
 
* DEPARTMENT OF GENETICS, TEHRAN MEDICAL SCIENCES BRANCH, ISLAMIC AZAD UNIVERSITY, SHARIATI STREET, GHOLHAK, TEHRAN, IRAN
 
Abstract: 

Background: Gliomas are the most frequently observed primary brain tumors. These tumors comprise a variety of different histological tumor types and malignancy grades. Oligodendrogliomas typically contain a rich network of branching capillaries. Approximately 50%-80% of oligodendrogliomas demonstrate a combined loss of chromosomes 1p and 19q. Oligodendrogliomas differ from neurocytomas in that they show a diffusely infiltrating pattern of spread that precludes surgical cure.
Methods: We evaluated extracted proteins from tumors and normal brain tissues for protein purity by the Bradford test and spectrophotometry. We separated proteins by two-dimensional gel electrophoresis. The spots were analyzed and compared using statistical data and MALDI-TOF/TOF. Protein clustering analyses were performed on the list of proteins deemed significantly altered in oligodendroglioma tumor tissues.
Results: On each analytical two-dimensional gel, we observed an average of 1328 spots. A total of 157 exhibited up-regulation of expression levels, whereas the remaining 276 spots had decreased expression in astrocytoma tumors relative to normal tissue. The results demonstrated that functional clustering and principal component analysis had considerable merit in aiding the interpretation of proteomic data.
Conclusion: Clustering methodology is a powerful data mining approach for initial exploration of proteomic data. The clustering results depend on parameters such as data preprocessing, between-profile similarity measurement and the dendrogram construction procedure.

 
Keyword(s): CLUSTER, 2D-DIGE, GLIOMA, PROTEOMICS, OLIGODENDROGLIOMA
 
 
References: 
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Citations: 
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+ Click to Cite.
APA: Copy

HASHEMI, M., & POOLADI, M., & KHAGHANI RAZI ABAD, S., & MOVAFAGH, A., & ENTEZARI, M. (2016). PROTEOMIC CLUSTER ANALYSIS OF MALIGNANT GLIOMAS IN HUMANS. MIDDLE EAST JOURNAL OF CANCER, 7(1), 31-40. https://www.sid.ir/en/journal/ViewPaper.aspx?id=511757



Vancouver: Copy

HASHEMI MEHRDAD, POOLADI MEHDI, KHAGHANI RAZI ABAD SOLMAZ, MOVAFAGH ABOLFAZL, ENTEZARI MALIHEH. PROTEOMIC CLUSTER ANALYSIS OF MALIGNANT GLIOMAS IN HUMANS. MIDDLE EAST JOURNAL OF CANCER. 2016 [cited 2021August01];7(1):31-40. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=511757



IEEE: Copy

HASHEMI, M., POOLADI, M., KHAGHANI RAZI ABAD, S., MOVAFAGH, A., ENTEZARI, M., 2016. PROTEOMIC CLUSTER ANALYSIS OF MALIGNANT GLIOMAS IN HUMANS. MIDDLE EAST JOURNAL OF CANCER, [online] 7(1), pp.31-40. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=511757.



 
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