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Copy number variations (CNVs) recently have been recognized as another important genetic variability followed single nucleotide polymorphisms (SNPs). The guanylate binding protein 2 (GBP2) gene plays an important role in cell proliferation. This study was performed to determine the presence of GBP2 CNV (relative to Angus cattle) in 466 individuals representing six main cattle breeds from China, identify its relationship with growth, and explore the biological effects of gene expression. There were two CNV regions in the GBP2 gene, for three types, CNV1 loss type (relative to Angus cattle) was more frequent in XN than other breeds, and CNV2 loss type (relative to Angus cattle) was more frequent in XN and CDM than other breeds. Though the GBP2 gene copy number presented no correlation with the transcriptional expression of JX (P > .05), but the transcriptional expression in heart is higher than other tissues, and the copy number in muscles and fat of JX is higher than others breeds. Statistical analysis revealed that the GBP2 gene CNV1 and CNV2 were significantly associated with growth traits (P < .05). In conclusion, this research established the correlations between CNVs of GBP2 gene and growth traits in different cattle breeds, and our results suggested that the CNVs in GBP2 gene may be considered markers for the molecular breeding of Chinese beef cattle.
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http://dx.doi.org/10.1016/j.gene.2018.01.004 | DOI Listing |
Blood Neoplasia
August 2025
Department of Medicine, Division of Oncology, Washington University School of Medicine, St. Louis, MO.
Mutations in the histone methyltransferase enhancer of zeste homolog 2 (EZH2), particularly the neomorphic Y641F hot spot mutation, are implicated in hematologic malignancies. However, how developmental timing and cellular context influence their oncogenic potential remains poorly understood. Here, we used a conditional allele with multiple tissue-specific Cre drivers to investigate the effects of these mutations across hematopoietic development.
View Article and Find Full Text PDFDiscov Oncol
July 2025
Department of Hepato-Biliary-Pancreatic and Vascular Surgery, School of Medicine, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, China.
Pancreatic cancer (PC), often referred to as the "king of cancers", has demonstrated limited success with immunotherapies, many of which are still under development. Psoriasis, a common hereditary skin disorder involving genetic, immune, and environmental factors, is only partially understood and has been linked to an elevated risk of various cancers, including PC. However, the precise mechanisms through which psoriasis may influence PC progression remain unclear.
View Article and Find Full Text PDFJ Immunol
June 2025
State Key Laboratory for Animal Disease Control and Prevention, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, Heilongjiang, China.
Sepsis is a life-threatening inflammatory syndrome caused by systemic infections, potentially leading to multi-organ failure and death. Due to patient heterogeneity, early and accurate diagnosis of sepsis, as well as stratification of patients by severity and potential outcomes, remains a huge challenge. In this study, we leveraged the genetic homogeneity of inbred mice to develop Escherichia coli-induced lethal and non-lethal sepsis models.
View Article and Find Full Text PDFAnn Med
December 2025
Department of Infectious Disease, Hubei AIDS Clinical Training Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
Backgrounds: To evaluate the role of guanylate-binding protein 6 (GBP6) in esophageal cancer (ESCA).
Methods: We comprehensively evaluated the expression pattern, clinical features, prognostic role, biological functions, and immunological role of GBP6 based on the public databases. Immunohistochemistry was used to validate the results in an ESCA tissue microarray.
Sci Rep
May 2025
Gynecology Department 2, Cangzhou Central Hospital, No. 16, Xinhua West Road, Yunhe District, Cangzhou, 061000, Hebei Province, China.
The tumor microenvironment (TME) plays a critical role in ovarian cancer (OC) progression, yet the relationship between immune and stromal scores within the TME and prognostic outcomes remains poorly understood. Immune and stromal cell scores were computed using the "estimate" R package, which enabled the assessment of immune and stromal components in OC samples. We then performed univariate and multivariate Cox regression analyses to identify prognostic factors associated with these scores using data from The Cancer Genome Atlas (TCGA).
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