Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:P01350 (gastrin)
9,683 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Cross-species analysis of microarray data has shown improved discriminating power between healthy and diseased states. Computational approaches have proven effective in deciphering the complexity of human disease by identifying upstream regulatory elements and the transcription factors that interact with them. Here we used both methods to identify highly conserved transcriptional responses during mechanical ventilation, an important therapeutic treatment that has injurious side effects. We generated control and ventilated whole lung samples from the premature baboon model of bronchopulmonary dysplasia (BPD), processed them for microarray, and combined them with existing whole lung oligonucleotide microarray data from 85 additional control samples from mouse, rat, and human and 19 additional ventilated samples from mouse and rat. Of the 2,531 orthologs shared by all 114 samples, 60 were modulated by mechanical ventilation [false discovery rate (FDR)-adjusted q value (q(FDR)) = 0.005, ANOVA]. These included transcripts encoding the transcription factors ATF3 and FOS. Because of compelling known roles for these transcription factors, we used computational methods to predict their targets in the premature baboon model of BPD, which included elastin (ELN), gastrin-releasing polypeptide (GRP), and connective tissue growth factor (CTGF). This approach identified highly conserved transcriptional responses to mechanical ventilation and may facilitate identification of therapeutic targets to reduce the side effects of this valuable treatment.
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PMID:Highly conserved transcriptional responses to mechanical ventilation of the lung. 2046 Jun 3

In recent years G protein-coupled receptors (GPCRs) have emerged as crucial tumorigenic factors that drive aberrant cancer growth, metastasis and angiogenesis. Consequently, a number of GPCRs are strongly expressed in cancer derived cell lines and tissue samples. Therefore a rational anti-cancer strategy is the design of nano-medicines that specifically target GPCRs to bind and internalise cytotoxic drugs into cancer cells. Herein, we report the genetic engineering of a self-assembling nanoparticle based on elastin-like polypeptide (ELP), which has been fused with gastrin releasing peptide (GRP). These nanoparticles increased intracellular calcium concentrations when added to GRP receptor positive PC-3 prostate cancer cells, demonstrating specific receptor activation. Moreover, GRP-displaying fluorescent labelled nanoparticles showed specific cell-surface interaction with PC-3 prostate cancer cells and increased endocytic uptake. These nanoparticles therefore provide a targeted molecular carrier system for evaluating the delivery of cytotoxic drugs into cancer cells.
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PMID:Targeting prostate cancer cells with genetically engineered polypeptide-based micelles displaying gastrin-releasing peptide. 2763 81