In the May 1 issue of Genes & Development, UVa researchers Drs. Yong Sun Lee and Anindya Dutta have shown that microRNAs can suppress the overexpression of a gene called HMGA2. This gene is related to creation of fatty tissue and certain tumors, as well as diet-induced obesity.
MicroRNA is a single-stranded RNA that is typically only 20-25 nucleotides long and is related to regulating the expression of other genes.
"Overexpression of the HMGA2 gene is an essential feature of many medically significant tumors, such as uterine fibroids,? explains Dr. Dutta. ?It is very exciting to realize that microRNAs have an important role in suppressing the overexpression of HMGA2. Thus, they may also have a role in causing, and perhaps curing, a disease that is responsible for the vast majority of hysterectomies in the Western world."
Studying chromosomal HMGA2 translocations that are associated with human tumors, the researchers found that, in normal cells, a microRNA called let-7 binds to the 3? end of the HMGA2 mRNA transcript and suppresses its expression in the cell cytosol. However, chromosomal breaks that shorten the 3? end of the HMGA2 transcript,and prevent let-7 binding, result in aberrantly high levels of HMGA2 expression and tumorigenesis (formation of tumors).
This paper establishes that HMGA2 is a target of let-7, and that the let-7 microRNA functions as a tumor suppressor to prevent cancer formation in healthy cells.
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In addition, the website offers two other important tools: 1) a program that can automatically design primers and probes for the resulting consensus sequence and 2) a program that links the user and consensus sequence to a database containing the majority of published and already developed influenza primers and probes; displaying this data aligned to the consensus sequence using colored primer/probe sequences that when clicked on produces the complete reference for the user.
According to Dr. Henrickson, even though the NIH has funded improved bioinformatics for a number of infectious diseases, including influenza, the tools currently available have been limited and not as much help to clinicians and researchers working on molecular diagnostics for influenza.
Currently, this website only focuses on the influenza virus information. However, other pathogens which cause respiratory tract infections, such as RSV and parainfluenza virus, will be added to this website in the near future.
Other team members include: pediatric research technologist Michael E. Bose (MS), assistant professor of pediatrics Jiang Fan, MD; bioinformatics center applications manager Andrew Patzer, physiology genetics data specialist Jack Littrell, and pediatric infections disease lab supervisor Andrea J. Kraft (MS). This work is partially funded by the National Institute of Allergy and Infectious Diseases.
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