Ask about this productRelated genes to: CCDC54 Blocking Peptide
- Gene:
- CCDC54 NIH gene
- Name:
- coiled-coil domain containing 54
- Previous symbol:
- -
- Synonyms:
- NYD-SP17, FLJ25362, SP17
- Chromosome:
- 3q13.12
- Locus Type:
- gene with protein product
- Date approved:
- 2006-01-10
- Date modifiied:
- 2014-11-18
Related products to: CCDC54 Blocking Peptide
Related articles to: CCDC54 Blocking Peptide
- Male infertility is a multifaceted disorder affecting approximately 50% of male partners in infertile couples. Over the years, male infertility has been diagnosed mainly through semen analysis, hormone evaluations, medical records and physical examinations, which of course are fundamental, but yet inefficient, because 30% of male infertility cases remain idiopathic. This dilemmatic status of the unknown needs to be addressed with more sophisticated and result-driven technologies and/or techniques. Genetic alterations have been linked with male infertility, thereby unveiling the practicality of investigating this disorder from the "omics" perspective. Omics aims at analyzing the structure and functions of a whole constituent of a given biological function at different levels, including the molecular gene level (genomics), transcript level (transcriptomics), protein level (proteomics) and metabolites level (metabolomics). In the current study, an overview of the four branches of omics and their roles in male infertility are briefly discussed; the potential usefulness of assessing transcriptomic data to understand this pathology is also elucidated. After assessing the publicly obtainable transcriptomic data for datasets on male infertility, a total of 1385 datasets were retrieved, of which 10 datasets met the inclusion criteria and were used for further analysis. These datasets were classified into groups according to the disease or cause of male infertility. The groups include non-obstructive azoospermia (NOA), obstructive azoospermia (OA), non-obstructive and obstructive azoospermia (NOA and OA), spermatogenic dysfunction, sperm dysfunction, and Y chromosome microdeletion. Findings revealed that 8 genes () were commonly differentially expressed between all disease groups. Likewise, 56 genes were common between NOA versus NOA and OA (). These genes, particularly the above-mentioned 8 genes, are involved in diverse biological processes such as germ cell development, spermatid development, spermatid differentiation, regulation of proteolysis, spermatogenesis and metabolic processes. Owing to the stage-specific expression of these genes, any mal-expression can ultimately lead to male infertility. Therefore, currently available data on all branches of omics relating to male fertility can be used to identify biomarkers for diagnosing male infertility, which can potentially help in unravelling some idiopathic cases. - Source: PubMed
Publication date: 2022/02/14
Omolaoye Temidayo SOmolaoye Victor AKandasamy Richard KHachim Mahmood YaseenDu Plessis Stefan S - Genetic studies have primarily been conducted in European ancestry populations, identifying dozens of loci associated with late-onset Alzheimer's disease (AD). However, much of AD's heritability remains unexplained; as the prevalence of AD varies across populations, the genetic architecture of the disease may also vary by population with the presence of novel variants or loci. - Source: PubMed
Publication date: 2021/07/03
Horimoto Andréa R V RXue DianeThornton Timothy ABlue Elizabeth E - Transcription factors of the Sox protein family contain a DNA-binding HMG box and are key regulators of progenitor cell fate. Here, we report that expression of Sox30 is restricted to meiotic spermatocytes and postmeiotic haploids. mutant males are sterile owing to spermiogenic arrest at the early round spermatid stage. Specifically, in the absence of Sox30, proacrosomic vesicles fail to form a single acrosomal organelle, and spermatids arrest at step 2-3. Although most mutant spermatocytes progress through meiosis, accumulation of diplotene spermatocytes indicates a delayed or impaired transition from meiotic to postmeiotic stages. Transcriptome analysis of isolated stage-specific spermatogenic cells reveals that Sox30 controls a core postmeiotic gene expression program that initiates as early as the late meiotic cell stage. ChIP-seq analysis shows that Sox30 binds to specific DNA sequences in mouse testes, and its genomic occupancy correlates positively with expression of many postmeiotic genes including , , and These results define Sox30 as a crucial transcription factor that controls the transition from a late meiotic to a postmeiotic gene expression program and subsequent round spermatid development. - Source: PubMed
Publication date: 2018/07/04
Bai ShunFu KaiqiangYin HuiqiCui YiqiangYue QiulingLi WenboCheng LeTan HuanhuanLiu XiaofeiGuo YueshuaiZhang YingwenXie JieHe WenxiuWang YuanyuanFeng HuaXin ChangpengZhang JinwenLin MingyanShen BinSun ZhengGuo XuejiangZheng KeYe Lan