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Identification of diagnostic and prognostic biomarkers in lung adenocarcinoma through integrated bioinformatics analysis and real time PCR validation
https://cmfrc.tums.ac.ir//news/Identification-of-diagnostic-and-prognostic-biomarkers-in-lung-adenocarcinoma-through-integrated-bioinformatics-analysis-and-real-time-PCR-validation/321232
Abstract Lung cancer is the third most common cancer in the US with a 5-year survival rate of 17%. Non-small cell lung cancer, especially adenocarcinoma, prevails. Therefore, early detection and biomarker discovery are extremely important. This study uses deep learning to find new biomarkers for lung adenocarcinoma. RNA-Seq data from 522 samples, including 506 lung adenocarcinoma patients and 16 healthy controls, were analyzed. DEGs were identified after strict preprocessing, and deep learning a
Protein engineering of recombinant human bone morphogenetic protein 2 with higher interaction with Ca phosphate based scaffold used for osteogenesis
https://cmfrc.tums.ac.ir//news/Protein-engineering-of-recombinant-human-bone-morphogenetic-protein-2-with-higher-interaction-with-Ca-phosphate-based-scaffold-used-for-osteogenesis
Abstract The aim of the present study was to assess the recombinant bonemorphogenetic protein 2 (RHBMP-2) with higher substantively and solubility for use in calcium phosphate scaffolds for better release in differentiation of mesenchymal stem cells to osteoblast cells. Using bioinformatics tools, two mutations (p. L10D and p. S12E) were chosen and applied in BMP2 CDS sequence to increase interaction with calcium derived composite. The new recombinant mutated sequence (BMP2mut) was synthesized a
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