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Context: The insulin-like growth factor 2 (IGF2) gene, a paternally imprinted gene inactive in oocytes, plays a vital role in early embryo development. While 5 IGF2 variants have been described, the specific variants expressed in human spermatozoa compared to granulosa cells (GCs) remain unclear.
Objective: To characterize the quantity and variants of IGF2 transcripts expressed in human spermatozoa.
Methods: Post-gradient sperm samples were collected from 2 healthy, fertile men with normal semen parameters, while GCs were isolated following an oocyte retrieval procedure of a woman undergoing in vitro fertilization due to male factor infertility. RNA extraction, cDNA synthesis, PCR amplification, and cloning were performed. PCR products were ligated into PCR4-TOPO vectors and transformed into Escherichia coli DH-10α. A total of 96 positive clones (32 per sample) were characterized via Sanger sequencing to identify variants. Quantitative PCR (qPCR) with gene-specific primers analyzed transcript quantities, single nucleotide polymorphisms (SNPs), product sizes, and melting temperatures.
Results: Of the 96 true-positive IGF2 cDNA clones, 14 distinct variants were identified, including deletions, insertions, and SNPs, resulting in amino acid sequence changes. Two common variants were present in both sperm and GCs, while 2 were GC-specific, and the remaining were exclusive to spermatozoa. Some clustered with known NCBI variants, while others formed 2 novel phylogenetic clusters.
Conclusion: This study expands the repertoire of IGF2 variants and highlights differences between spermatozoa and GC transcripts. It is the first to analyze IGF2 variants in sperm from fertile men, paving the way for future research into their role in embryogenesis.
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http://dx.doi.org/10.1210/endocr/bqaf035 | DOI Listing |
Comput Biol Med
August 2025
Department of Surgical and Interventional Sciences, McGill University, Montreal, Canada; Department of Physics (Alumni), Concordia University, Montreal, Canada; Department of Psychology (Alumni), Concordia University, Montreal, Canada; Oxford Immune Algorithmics, Reading, UK. Electronic address: a_u
Advancements in AI-powered systems medicine have revolutionized biomarker discovery through emergent and explainable features. By use of complex network dynamics and graph-based machine learning, we identified critical determinants of lineage-specific plasticity across the single-cell transcriptomics of pediatric high-grade glioma (pHGGs) subtypes: IDHWT glioblastoma and K27M-altered diffuse midline glioma. Our study identified network interactions regulating glioma morphogenesis via the tumor-immune microenvironment, including neurodevelopmental programs, calcium dynamics, iron metabolism, metabolic reprogramming, and feedback loops between MAPK/ERK and WNT signaling.
View Article and Find Full Text PDFInt J Cancer
November 2025
AMES, Centro Polidiagnostico Strumentale srl, Casalnuovo Di Napoli, Italy.
Evidence suggests that metastatic colorectal cancer patients with type 2 diabetes (T2D) experience a poorer prognosis in contrast to their non-diabetic counterparts. Considering the multifactorial genetic nature of colon cancer development, we examined whether gene polymorphisms associated with T2D could affect the clinical outcome of metastatic colon cancer. Using in silico analysis, we evaluated gene variants linked to both T2D and colon cancer utilizing data from The Cancer Genome Atlas (TCGA).
View Article and Find Full Text PDFFusion transcripts (FTs) are RNA molecules, also known as chimeric transcripts, formed through chromosomal rearrangements or transcriptional processes, contributing to tumorigenesis. This study systematically examined tumour-specific FTs in hepatocellular carcinoma (HCC) using high-throughput RNA sequencing data from independent datasets and The Cancer Genome Atlas (TCGA). Our analysis included 328 HCC samples.
View Article and Find Full Text PDFClin Epigenetics
June 2025
Department of Molecular Endocrinology, National Research Institute for Child Health and Development, 2-10-1 Okura, Setagaya-Ku, Tokyo , 157-8535, Japan.
Background: Beckwith-Wiedemann syndrome (BWS) is a congenital imprinting disorder (ID) caused by molecular defects in the 11p15.5 imprinted region, such as hypomethylation of the KCNQ1OT1:TSS-differentially methylated region (KCNQ1OT1-DMR) and hypermethylation of the H19/IGF2:IG-DMR, and maternal CDKN1C pathogenic variants, with various clinical characteristics, including overgrowth and macroglossia. Recently, the concept of Beckwith-Wiedemann spectrum (BWSp) and a clinical scoring system for BWS have been proposed, and cases with four or more points are diagnosed with classic BWS, and 20% of cases with BWS have no molecular defects in the 11p15.
View Article and Find Full Text PDFFront Cell Dev Biol
May 2025
Faculty of Medicine and Life Sciences, Biomedical Research Institute (BIOMED), Hasselt University, Diepenbeek, Belgium.
Introduction: Angiogenesis, the formation of new blood vessels, is essential for physiological processes such as tissue repair as well as pathological conditions including cancer. While insulin-like growth factor 2 (IGF-2) is identified as a key regulator of angiogenesis, the contributions of its variants remain less explored.
Methods: We compared the effects of wildtype IGF-2 with that of Des(1-6)IGF-2, which has lower affinity to IGF-binding proteins (IGFBPs), and Leu27IGF2, which interacts selectively with the IGF-Receptor 2.