To identify a predictor to forecast superovulation response on the basis of associations between superovulation performance and gene polymorphism, variation in the bovine follicle stimulating hormone receptor (FSHR) gene was investigated using PCR-single-strand conformational (PCR-SSCP) and DNA sequencing. One single nucleotide polymorphism (SNP) of G-278A located in the 5' upstream region of bovine FSHR gene was found in 118 Chinese Holstein cows treated for superovulation. Two SNPs of G-278A (GU253337) and A-320T (rs43676359) were analyzed. In polymorphic locus -278, all cows without superovulation response were mutations with genotypes of CD and DD. Cows with CC genotype had a significant increase in the total number of ova (TNO) (P<0.01), and produced more transferable embryos (NTE) than those of the CD and DD genotypes (P<0.01). At this locus, the additive effects seemed to be highly significant (P<0.01) and allele C was associated with an increase in the TNO and NTE. These results indicated that the FSHR is a potential marker for superovulation response and can be used as a predictor for superovulation in Chinese Holstein cows.
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http://dx.doi.org/10.1016/j.anireprosci.2010.02.004 | DOI Listing |
Int J Biol Macromol
January 2025
CICS-UBI - Health Sciences Research Centre, University of Beira Interior, Covilhã, Portugal; RISE-Health, Departamento de Química, Faculdade de Ciências, Universidade da Beira Interior, Rua Marquês d'Ávila e Bolama, 6201-001 Covilhã, Portugal; Departamento de Química, Universidade da Beira Interior, Rua Marquês de Ávila e Bolama, 6201-001 Covilhã, Portugal. Electronic address:
Understanding the mechanisms of carcinogenesis is essential to combat cancer. The search for alternative targets for anticancer therapy has gained interest, particularly when focused on upstream pathways. This strategy is particularly relevant when the encoded target proteins are known - or believed - to be "undruggable", as has been reported for the B-MYB oncogene.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Department of Biology, Texas Southern University, Houston, TX 77004, USA.
Previous data show that the knockdown of the gene in the MDA-MB-231 cell line leads to the downregulation of gene expression. In addition, and genes are co-expressed and dysregulated in some of the same triple negative breast cancer patient samples. We propose that the co-expression of the two genes is attributed to the MYBL1 transcription factor regulation of the gene.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Division of Cancer, Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London W12 0NN, UK.
S6 Kinase 2 (S6K2) is a key regulator of cellular signaling and is crucial for cell growth, proliferation, and survival. This review is divided into two parts: the first focuses on the complex network of upstream effectors, downstream modulators, and post-translational modifications (PTMs) that regulate S6K2 activity. We emphasize the dynamic nature of S6K2 regulation, highlighting its critical role in cellular homeostasis and its potential as a therapeutic target in diseases like cancer.
View Article and Find Full Text PDFToxicology
January 2025
Division of Cardiovascular Disease Research, Department of Chronic Disease Convergence Research, Korea National Institute of Health, Cheongju, Republic of Korea.
Gasoline exhaust particles (GEP) are risk factors for cardiovascular disease. Activating transcription factor 3 (ATF3) is a transcription factor known to form a heterodimer with AP-1 transcription factors for its target gene expression. However, the involvement of ATF3 in GEP-induced gene expression in human umbilical vein endothelial cells (HUVECs) has not been investigated.
View Article and Find Full Text PDFPLoS One
January 2025
School of Natural Sciences, Macquarie University, North Ryde, NSW, Australia.
The shape characteristics of flow hydrographs hold essential information for understanding, monitoring and assessing changes in flow and flood hydrology at reach and catchment scales. However, the analysis of individual hydrographs is time consuming, making the analysis of hundreds or thousands of them unachievable. A method or protocol is needed to ensure that the datasets being generated, and the metrics produced, have been consistently derived and validated.
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