Four 'protein inhibitors of activated STAT' (PIAS) control STAT-dependent and NF-κB-dependent immune signalling in humans. The genome of rainbow trout () contains eight genes, which encode at least 14 different transcripts that are differentially expressed in a tissue- and cell-specific manner. was the most strongly expressed variant among the analysed genes in most tissues, while was commonly low or absent. Since the knock-out of Pias factors in salmonid CHSE cells using CRISPR/Cas9 technology failed, three structurally different Pias protein variants were selected for overexpression studies in CHSE-214 cells. All three factors quenched the basal activity of an NF-κB promoter in a dose-dependent fashion, while the activity of an Mx promoter remained unaffected. Nevertheless, all three overexpressed Pias variants from trout strongly reduced the transcript level of the antiviral Stat-dependent gene in ifnγ-expressing CHSE-214 cells. Unlike , the overexpressed Pias factors modulated the transcript levels of NF-κB-dependent immune genes (mainly , , , and ) in ifnγ-expressing CHSE-214 cells in different ways. This dissimilar modulation of expression may result from the physical cooperation of the Pias proteins from trout with differential sets of interacting factors bound to distinct nuclear structures, as reflected by the differential nuclear localisation of trout Pias factors. In conclusion, this study provides evidence for the multiplication of genes and their sub-functionalisation during salmonid evolution.
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http://dx.doi.org/10.3390/ijms222312815 | DOI Listing |
Comput Biol Med
January 2025
Department of Computer Science, Virginia Tech, College of Engineering, Blacksburg, VA, USA. Electronic address:
The rising incidences of myocardial infarction (MI), often affecting individuals without traditional risk factors, highlight the urgent need for improved early detection using personal health data. However, health surveys and electronic health records (EHRs) frequently suffer from class imbalances, leading to prediction biases and differences between specificity and sensitivity, which hinder reliable model development despite the valuable insights contained in these datasets. To address this, we have introduced a novel approach to enhance MI risk prediction using self-reported attributes from the Behavioral Risk Factor Surveillance System (BRFSS) and the National Health Interview Survey (NHIS) dataset.
View Article and Find Full Text PDFAnn Vasc Surg
November 2024
CINTESIS@RISE, RISE-Health, Unit of Research, Porto, Portugal; Department of Biomedicine - Unit of Anatomy, Faculdade de Medicina da Universidade do Porto, Porto, Portugal.
Background: Positive neurologic awake testing during the carotid cross-clamping may be present in around 8% of patients undergoing carotid endarterectomy (CEA). The present work aimed to assess the accuracy of an artificial intelligence (AI)-powered risk calculator in predicting intraoperative neurologic deficits (INDs).
Methods: Data was collected from carotid interventions performed between January 2012 and January 2023 under regional anesthesia.
Background: Postoperative Intestinal Adhesions (PIAs) remain a significant complication of abdominal surgery that can cause pain, infertility, and a potentially lethal bowel obstruction. Kangnian (KN) decoction, a Traditional Chinese Medicine prescription, has been shown to be effective in treating PIAs. Nevertheless, its underlying mechanisms remain unclear.
View Article and Find Full Text PDFCardiovasc Res
December 2024
Department of Physiology, Tokyo Medical University, Tokyo, Japan.
Eur J Med Chem
October 2024
College of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea. Electronic address:
A series of indazole analogs, derived from the B,C-ring-truncated scaffold of deguelin, were designed to function as C-terminal inhibitors of heat shock protein 90 (HSP90) and investigated as novel antitumor agents against HER2-positive breast cancer. Among the synthesized compounds, compound 12d exhibited substantial inhibitory effects in trastuzumab-sensitive (BT474) and trastuzumab-resistant (JIMT-1) breast cancer cells, with IC values of 6.86 and 4.
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