Bioinformatics and Molecular Analysis of the Breast Cancer Susceptibility Gene BRCA1 in Breast Cancer.
Background: The breast cancer susceptibility gene (BRCA1) encodes a tumor suppressor protein which plays a vital role in the DNA damage repair and transcriptional regulation among other functions. Bioinformatics is a newly-emerged discipline that uses computer, mathematics, and statistics in molecul...
| Publicado en: | Middle East Journal of Cancer Vol. 11; no. 1; pp. 59 - 72 |
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| Formato: | pictorial research tables/charts Journal Article |
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Middle East Journal of Cancer
Jan2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=141184556&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 141184556 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 20086709 B7LE jtl: Middle East Journal of Cancer issn: 20086709 maglogo: N pubinfo: dt: Jan2020 vid: 11 iid: 1 pid: 67247 pub: Middle East Journal of Cancer artinfo: ui: 141184556 141184556 141184556 141184556 ppf: 59 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Bioinformatics and Molecular Analysis of the Breast Cancer Susceptibility Gene BRCA1 in Breast Cancer. aug: au: Lafta, Inam Jasim affil: Department of Microbiology, College of Veterinary Medicine, University of Baghdad, Baghdad, Iraq sug: subj: Bioinformatics Molecular Biology Breast Neoplasms Familial and Genetic Genes, BRCA Human Cell Line, Tumor Polymerase Chain Reaction Methods RNA, Messenger Gene Expression ab: Background: The breast cancer susceptibility gene (BRCA1) encodes a tumor suppressor protein which plays a vital role in the DNA damage repair and transcriptional regulation among other functions. Bioinformatics is a newly-emerged discipline that uses computer, mathematics, and statistics in molecular biology in order to analyze the large amounts of biological data quickly, freely, and accurately. Methods: The BRCA1 transcript (mRNA) levels were checked by using realtime quantitative polymerase chain reaction (RT-qPCR) in four sporadic breast cancer cell lines: MCF-7, T47D, MDA-MB-231, and MDA-MB-468 compared to the normal breast tissue. Bioinformatics tools were also used to compare and analyze different aspects of BRCA1 transcripts (multiple different mRNAs produced by a single gene) and splice variants (multiple proteins encoded by the same gene). Results: The level of BRCA1 mRNA was overexpressed in the studied breast cancer cell lines relative to the normal breast cDNA. Also, the bioinformatics software tools provided many important features of this gene that would help explain numerous controversial laboratory findings. Conclusions: The data presented here support a role for BRCA1 overexpression in the pathogenesis of sporadic breast cancer. The bioinformatics analysis of BRCA1 mRNA and protein variants can provide information essential for cancer diagnosis or therapy. The biological data gained from these tools can help authors make better decisions before launching expensive experiments. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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