Project description:1. Evaluate the diagnostic value of long noncoding RNA (CCAT1) expression by RT-PCR in peripheral blood in colorectal cancer patients versus normal healthy control personal.
2. Evaluate the clinical utility of detecting long noncoding RNA (CCAT1) expression in diagnosis of colorectal cancer patients & its relation to tumor staging.
3. Evaluate the clinical utility of detecting long noncoding RNA (CCAT1) expression in precancerous colorectal diseases.
4. Compare long noncoding RNA (CCAT1) expression with traditional marker; carcinoembryonic antigen (CEA) and Carbohydrate antigen 19-9 (CA19-9) in diagnosis of colorectal cancer.
Project description:Pervasive translation is a widespread phenomenon that plays an important role in de novo gene birth; however, its underlying mechanisms remain unclear. Based on multiple Ribosome Profiling datasets, we investigated the translational landscape of coding and noncoding regions of yeast. Therefore, we developed a new representation framework which allows the visual and comprehensive representation of the diversity of translation behaviors in yeast coding and noncoding regions. We show that if coding regions are restricted to specific regions of the translation landscape, noncoding regions are associated with a wide diversity of translation behaviors and, in contrast, populate the entire yeast translational landscape. In particular, we reveal that noncoding regions are associated with canonical translation signals but also with novel categories of translation events absent from coding regions, and which seem to be a hallmark of pervasive translation. Notably, we report thousands of translated noncoding ORFs among which, 256 led to detectable products with Mass Spectrometry while being characterized by canonical but also non-canonical translation signals. Finally, we show that the translation behavior of noncoding ORFs is not explained by features related to the emergence of function, but is rather determined by the translation start codon and the codon distribution in the three competing RNA frames. Overall, our results enable us to propose a topology of the pervasive translation landscape of a species, and open the way to future comparative analyses of this translation landscape under different conditions.
Project description:Duckweeds are small, rapidly growing aquatic flowering plants. Due to their ability for biomass production at high rates they represent promising candidates for biofuel feedstocks. Duckweeds are also excellent model organisms because they can be maintained in well-defined liquid media, usually reproduce asexually, and because genomic resources are becoming increasingly available. To establish a framework for quantitative metabolic research in duckweeds we derived a central carbon metabolism network model of Lemna gibba based on its draft genome. Lemna gibba fronds were grown in a photomixotrophic mode in liquid media under continuous light with 13C-labeled glucose as a carbon source. Two different conditions (nitrate vs. glutamine as nitrogen source) were compared by quantification of growth kinetics, metabolite levels, metabolic flux and transcript abundance.