<![CDATA[BOL: Related items]]> https://bioinformaticsonline.com/related/4633?offset=70 https://bioinformaticsonline.com/file/view/13415/genomics-and-sequencing-approach-for-identification-of-biomarkers-to-assess-the-efficacy-of-tgf-%CE%B2ri-inhibitors-of-liver-cancer-in-vivo Tue, 05 Aug 2014 13:55:32 -0500 https://bioinformaticsonline.com/file/view/13415/genomics-and-sequencing-approach-for-identification-of-biomarkers-to-assess-the-efficacy-of-tgf-%CE%B2ri-inhibitors-of-liver-cancer-in-vivo <![CDATA[Genomics and sequencing approach for identification of biomarkers to assess the efficacy of TGF-βRI inhibitors (of liver cancer) in vivo]]> Liver cancer is third leading cause of deaths and fourth most frequent occuring cancer worldwide. There are multiple signaling pathways responsible for causing cancer amongst which TGFb is most important cytokine whose signaling pathway promote cancer. However, main problem is to cure this cancer at late stage where we still have no treatment strategy to tackle this deadly cancer.  Hence we need to find out new therapeutic target. One way is to look the relationships between mRNA, methylation and miRNA data of patients with different pathological conditions (cancer vs control either with inhibitor/not). MiRNA is small RNA molecules known to inhibit mRNA expression of particular gene by binding improperly to 3'UTR region of a gene and hence block binding of TF /translation of gene. CpG regions is known to located at promoter region of gene (5' UTR) and usually hypomethylated which allow to gene to transcribe and translate however sometime this region become hyper-methylated thats prevent expression of host gene. Thus , integration of these three data reveal new targets and pathways important for causing or preventing cancer and also reveal biomarker thats check the effects of inhibitor on signaling pathway underlying liver cancer.

]]> Rahul Agarwal https://bioinformaticsonline.com/researchlabs/view/38383/sidow-lab Fri, 07 Dec 2018 09:06:30 -0600 <![CDATA[Sidow Lab]]> We study mechanisms of cancer evolution by using state-of-the-art genomic approaches at the bench and in analysis. Accurate genome reconstruction is our other major area of interest. We also collaborate on important questions for which our expertise in genomics and computation is relevant. Arend's biosketch highlights some of our past contributions.

http://www.sidowlab.org/

]]> https://bioinformaticsonline.com/researchlabs/view/43001/gamper-lab Fri, 26 Mar 2021 07:45:02 -0500 <![CDATA[Gamper Lab]]> Lab focuses on examining the mechanisms governing the signalling pathways from DNA damage sensing to the activation of stress-response genes. The long-term goal is to find proteins that are drug targets for cancer treatment (such as radiosensitizers for radiation therapy) or biomarkers that increase the predictive value of therapeutic outcome.

https://amgamper.weebly.com/

]]>