MicroRNA target prediction and comparative micromics; Study different cancers- special focus on breast cancer metastasis

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dc.contributor.authorSarkar, Bibekananda
dc.contributor.supervisorBast, Felix
dc.date.accessioned2018-08-30T05:10:36Z
dc.date.accessioned2018-08-30T06:09:22Z
dc.date.accessioned2024-08-13T10:50:41Z
dc.date.available2018-08-30T05:10:36Z
dc.date.available2018-08-30T06:09:22Z
dc.date.available2024-08-13T10:50:41Z
dc.date.issued2012
dc.description.abstractCancer or carcinoma is uncontrolled growth of abnormal cells. The transition of normal cell to cancerous cell is very complicated process and the cause of transition varies with situation. Metastasis is the main cause of death in cancer. There are genes which not only promote metastasis but also maintain microenvironment of tumor cells, and initiate the process of epithelium' mesenchymal transition (EMT). MicroRNA (micro RNA) is small, highly conserved noncoding RNAs that control gene expression post-transcriptionally. MicroRNA controls various cellular events like division, differentiation and apoptosis. Their deregulation may result in to cancerous growth. Most (50%) of the microRNA genes are located in the fragile chromosomal regions, which are more susceptible to amplification, deletion or translocation during tumor development. It is predicted that 30% of the all mRNA are directly or indirectly controlled by the microRNA. MetastamiR are that microRNA which have role in regulation of metastasis. MicroRNA expression profile in different cancers showed that it can act as Oncogene as well as Tumor suppressor gene. Till date there are 1921 mature human microRNA sequences registered in miRBase. MicroRNA target prediction is the first step in functional analysis of microRNA. Target prediction is complicated due to partial complementarity between microRNA and its target. There are many target prediction programs available, but the efficiency and sensitivity of these programs are not known. To enhance its efficiency, we need to know problems during prediction. Comparative analysis of different microRNA prediction tools provides an insight into the above parameter. In this study comparative analysis of seven prediction tools is carried out with help of validated microRNA targets of metastatic breast cancer.en_US
dc.identifier.accessionnoT00012
dc.identifier.citationSarkar, Bibekananda (2012) MicroRNA target prediction and comparative micromics; Study different cancers- special focus on breast cancer metastasis.en_US
dc.identifier.urihttp://10.2.3.109/handle/32116/1726
dc.language.isoen_USen_US
dc.publisherCentral University of Punjaben_US
dc.subjectMicrornaen_US
dc.subjectMetastamiren_US
dc.subjectEmten_US
dc.subjectMirbaseen_US
dc.subjectPrecisionen_US
dc.subjectAnd Sensitivityen_US
dc.titleMicroRNA target prediction and comparative micromics; Study different cancers- special focus on breast cancer metastasisen_US
dc.typeMphil Dissertationen_US

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