J
Jiwen Jiang
Researcher at University of Marburg
Publications - 5
Citations - 151
Jiwen Jiang is an academic researcher from University of Marburg. The author has contributed to research in topics: Receptor & Insulin-like growth factor 1 receptor. The author has an hindex of 4, co-authored 4 publications receiving 148 citations.
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Stable expression of the rat GLP-I receptor in CHO cells: Activation and binding characteristics utilizing GLP-I(7–36)-amide, oxyntomodulin, exendin-4, and exendin(9–39)
Hans Christoph Fehmann,Jiwen Jiang,Johannes Schweinfurth,Michael B. Wheeler,Aubrey E. Boyd,Burkhard Göke +5 more
TL;DR: This study shows that GLP-I and exendin-4 are potent agonists at the transfected rat B-cell GLp-I receptor whereas oxyntomodulin is only a weakGLP- I receptor agonist.
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Detection of the Human Glucagon-Like Peptide 1(7-36) Amide Receptor on Insulinoma-Derived Cell Membranes
Brigitte Lankat-Buttgereit,Rüdiger Göke,F. Stöckmann,Jiwen Jiang,H. C. Fehmann,Burkhard Göke +5 more
TL;DR: The data provide the first direct evidence of the existence of GLP-1 receptors in human endocrine pancreatic tissue and a main hybridization signal at about 7 kb was found by Northern blotting.
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Ligand-induced regulation of glucagon-like peptide-I receptor function and expression in insulin-secreting β cells
TL;DR: Posttranslational mechanisms exist to regulate GLP-I receptor numbers in insulin-secreting cells via the cyclic AMP (cAMP) pathway and its own ligand and the cAMP-dependent pathway in rat insulinoma-derived beta cells.
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Regulation of glucagon-like peptide-I receptor expression and transcription by the protein kinase C pathway
TL;DR: It is shown that PKC activation downregulates the expression of the GLP-I receptor gene, mainly at the transcriptional level, and this results in downregulation in rat insulinoma RINm5F cells.
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Hyperspectral Detection of Moisture Content in Rice Straw Nutrient Bowl Trays Based on PSO-SVR
Haiming Yu,Jiwen Jiang +1 more
TL;DR: In this paper , a real-time moisture content detection method for rice straw nutrient bowl trays based on hyperspectral imaging technology was studied, and three prediction models of rice straw nutrition bowl tray moisture content, namely random forest regression (RF), particle swarm optimization support vector regression (PSO-SVR), and XGBoost model were constructed using the reduced dimension spectral data.