A Comprehensive Analysis Of Multiple Myeloma Genes Using Advanced Bioinformatics Tools
Author(s) -
Shakuntala Bulusu,
Amit Kumar,
Satyajeet Parija,
Amita Sinha
Publication year - 2010
Publication title -
the internet journal of medical informatics
Language(s) - English
Resource type - Journals
ISSN - 1937-8300
DOI - 10.5580/2837
Subject(s) - multiple myeloma , computational biology , gene , bioinformatics , biology , medicine , genetics
Multiple myeloma is a monoclonal B-cell malignancy which originates in lymph node germinal centers but locates and expands in bone marrow. Multiple Myeloma (MM) occurs when plasma cells grow excessively and interfere with the production of red blood cells, white blood cells, and the platelets. Genetic abnormalities in multiple myeloma have been a subject of interest to researchers, as an understanding of the complex karyotypes can be of great value in treatment of MM.The aim of our study is to provide a comprehensive analysis of MM genes for understanding the cytogenetics of the disease. The present investigation is based upon the identification of over 35 important multiple myeloma genes located on different chromosomes.Various aspects of these genes were studied using different in-silico tools. An attempt was made to study the domains and patterns exhibited by the proteins and correlate them to the landmark events in the formation of multiple myelomas. A close scrutiny of the nucleotide sequences of these genes was conducted for identifying any internal repeats within the sequence and their possible significance as biomarkers.
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