To characterize the chicken PPARγ gene expression and its impact on chicken adipocyte proliferation and differentiation, western blotting approach was conducted to investigate the expression of PPARγ in various chicken tissues and the difference of expression level in abdominal adipose tissues between the NEAU broiler lines divergently selected for abdominal fat content. The expression of PPARγ gene was suppressed in chicken adipocytes using RNAi technology, and the roles of PPARγ gene in the adipocytes proliferation and differentiation were investigated by MTT assay and Oil Red O staining extraction assay, respectively. After PPARγ gene was downregulated, the expression level of other transcript factors and marker genes related to the adipocyte differentiation was detected by Real-time PCR and Western blotting analyses. The results showed that PPARγ highly expressed in abdominal adipose tissue, gizzard, spleen, kidney, lowly expressed in heart, and not expressed in liver, breast muscle, leg muscle, and duodenum. Meanwhile, PPARγ expressed much higher in fat birds than in lean ones in abdominal adipose tissue at 5 and 7 weeks of age (P<0.05). RNAi analysis showed that knockdown of PPARγ gene increased chicken adipocyte proliferation and decreased cell differentiation and significantly decreased the expression levels of C/EBPα, SREBP1, A-FABP, Perilipin1, LPL, and IGFBP-2 (P<0.05). In summary, PPARγ gene may be related to the broiler abdominal fat deposition, and be probably a key regulator of chicken adipocyte proliferation and differentiation.
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http://dx.doi.org/10.3724/sp.j.1005.2012.00454 | DOI Listing |
Genome
January 2025
Damietta University Faculty of Science, New Damietta, Damietta, Egypt;
Polyamine oxidase (PAOs) are enzymes associated with polyamine catabolism and play important roles in growth and development and stress tolerance of plants. In the present study, genome-wide discovery and analysis of the PAO family in sorghum was done utilizing model PAO of Arabidopsis. Six PAO genes were found using publicly available genomic data.
View Article and Find Full Text PDFHepatology
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Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Background Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects about a third of adults worldwide and is projected soon to be the leading cause of cirrhosis. It occurs when fat accumulates in hepatocytes and can progress to metabolic dysfunction-associated steatohepatitis (MASH), liver cirrhosis, and hepatocellular carcinoma. MASLD pathogenesis is believed to involve a combination of genetic and environmental risk factors.
View Article and Find Full Text PDFJ Hered
January 2025
Center for Evolutionary Hologenomics, The Globe Institute, The University of Copenhagen, 5A, Oester Farimagsgade, Copenhagen, 1353, Denmark.
The stone marten (Martes foina) is an important species for cytogenetic studies in the order Carnivora. ZooFISH probes created from its chromosomes provided a strong and clean signal in chromosome painting experiments and were valuable for studying the evolution of carnivoran genome architecture. The research revealed that the stone marten chromosome set is similar to the presumed ancestral karyotype of the Carnivora, which added an additional value for the species.
View Article and Find Full Text PDFJ Nat Prod
January 2025
Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California 92093, United States.
A structurally novel metabolite, fatuamide A (), was discovered from a laboratory cultured strain of the marine cyanobacterium sp., collected from Faga'itua Bay, American Samoa. A bioassay-guided approach using NCI-H460 human lung cancer cells directed the isolation of fatuamide A, which was obtained from the most cytotoxic fraction.
View Article and Find Full Text PDFClin Cancer Res
January 2025
ACTREC, Tata Memorial Centre, Navi Mumbai, Maharashtra, India.
Purpose: Identifying therapeutic targets for Signet Ring Cell Carcinoma (SRCC) of the colon and rectum is a clinical challenge due to the lack of Patient-Derived Organoids (PDO) or Xenografts (PDX). We present a robust method to establish PDO and PDX models to answer address this unmet need. We demonstrate that these models identify novel therapeutic strategies targeting therapy resistance and peritoneal metastasis.
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