Ask about this productRelated genes to: CCDC60 Blocking Peptide
- Gene:
- CCDC60 NIH gene
- Name:
- coiled-coil domain containing 60
- Previous symbol:
- -
- Synonyms:
- MGC39827
- Chromosome:
- 12q24.23
- Locus Type:
- gene with protein product
- Date approved:
- 2006-01-23
- Date modifiied:
- 2015-08-24
Related products to: CCDC60 Blocking Peptide
Related articles to: CCDC60 Blocking Peptide
- Residual feed intake (RFI) is a key indicator of feed efficiency in poultry. Although regulatory links such as the hypothalamus-gut and gut-liver axes have been implicated, most studies remain restricted to single axes or fragmented analyses, and systematic multi-organ integration is lacking. Here, we measured feed efficiency in 1,000 Nonghua ducks and selected 12 individuals with divergent RFI for transcriptomic profiling of the hypothalamus, pituitary, liver, duodenum, jejunum, ileum, and cecum, combined with serum metabolomics. We identified 769 differentially expressed genes (DEGs), with the hypothalamus, liver, and cecum as major contributors, and 28 differential serum metabolites enriched in lipid and amino acid metabolism. Beyond tissue-specific functions, enrichment analysis highlighted several pathways that were repeatedly shared across central and peripheral tissues, including neuroactive ligand-receptor interaction, hormone signaling, steroid hormone biosynthesis, and insulin signaling, suggesting a coordinated regulation of feed efficiency between the brain, gut, and liver. To clarify their relevance, we integrated gene modules with metabolites and identified two candidate cross-organ association frameworks: the MEblack-6-Oxopiperidine-2-carboxylic acid (gut-liver) networks, enriched for liver genes CNTNAP1, SHC3, and RAB36, and cecal genes DCC and CCDC60. The MEblue-LysoPE(18:2(9Z,12Z)/0:0) (gut-brain) networks, enriched for cecal genes FABP6, KCNJ11, and the pituitary gene TRPA1, in which these genes and metabolites may contribute to RFI regulation. Together, these findings provide new insights into cross-organ molecular networks underlying feed efficiency in ducks and establish a valuable resource for future functional studies and breeding strategies. - Source: PubMed
Publication date: 2026/01/27
Guo ShihaoXi YangQi JingjingYang ZhaoHan XuLing WeikangBai LiliHuang AnqiHu ShenqiangHu JiweiHan ChunchunWang JiwenLi LiangLiu Hehe - Coiled-coil domain containing 60 (CCDC60) is a member of the CCDC family, which participates in the progression of many types of cancer. However, the prognostic value of CCDC60 in head and neck squamous cell carcinoma (HNSC) and its function in tumor immunity remain unclear. - Source: PubMed
Publication date: 2023/03/30
Liu ZhixinChen ShuaiJia WenmingQian YeYang XiaoqiZhang MinfaFang TianheLiu Heng - Choosing spermatozoa with an optimum fertilizing potential is one of the major challenges in assisted reproductive technologies (ART). This selection is mainly based on semen parameters, but the addition of molecular approaches could allow a more functional evaluation. To this aim, we used sixteen fresh sperm samples from patients undergoing ART for male infertility and classified them in the high- and poor-quality groups, on the basis of their morphology at high magnification. Then, using a DNA sequencing method, we analyzed the spermatozoa methylome to identify genes that were differentially methylated. By Gene Ontology and protein-protein interaction network analyses, we defined candidate genes mainly implicated in cell motility, calcium reabsorption, and signaling pathways as well as transmembrane transport. RT-qPCR of high- and poor-quality sperm samples allowed showing that the expression of some genes, such as , , , , , , , , , and , have different expression levels according to sperm morphology. In conclusion, the present study shows a strong correlation between morphology and gene expression in the spermatozoa and provides a biomarker panel for sperm analysis during ART and a new tool to explore male infertility. - Source: PubMed
Publication date: 2021/09/18
Cassuto Nino GuyPiquemal DavidBoitrelle FlorenceLarue LionelLédée NathalieHatem GhadaRuoso LéaBouret DominiqueSiffroi Jean-PierreRouen AlexandreAssou Said - We describe the molecular analysis of chromosomal rearrangements in familial t(3;6)(p12.3;q24.3) and t(3;12)(q13.13;q24.23) associated with the development of conventional renal cell carcinomas (RCC). We mapped the breakpoints by high-density oligo array comparative genomic hybridization of tumor cells in t(3;6) at chromosome 3p12.3 between PDZRN3 and CNTN3; the chromosomal rearrangement at 6q24.3 was mapped within the seventh intron of the STXBP5 gene. In the second case, the break at 3q13.13 was mapped downstream of PVRL3 and the breakpoint at 12q24.23 between HSPB8 and CCDC60, one allele of the latter being deleted. Reverse transcriptase polymerase chain reaction analysis of the PDZRN3, CNTN3, STXBP5, PVRL3, HSPB8, and CCDC60 genes revealed slight variation in the copy number of transcripts, but without correlation to the chromosomal rearrangements in translocation-associated and sporadic conventional RCCs. Loss of heterozygosity at chromosome 3p and mutation of VHL occurred at the same frequency in both familial and sporadic cases. Based on our model of nonhomologous chromatid exchange and the data on molecular studies, we suggest that the germline translocation serves as a rate-limiting step toward tumor development by generating a high number of cells with loss of the derivative chromosome carrying the 3p segment. - Source: PubMed
Yusenko Maria VNagy AnettaKovacs Gyula - The cost of genome-wide association (GWA) studies can be prohibitively high when large samples are genotyped. We conducted a GWA study on schizophrenia (SZ) and to reduce the cost, we used DNA pooling. We used a parent-offspring trios design to avoid the potential problems of population stratification. We constructed pools from 605 unaffected controls, 574 SZ patients and a third pool from all the parents of the patients. We hybridized each pool eight times on Illumina HumanHap550 arrays. We estimated the allele frequencies of each pool from the averaged intensities of the arrays. The significance level of results in the trios sample was estimated on the basis of the allele frequencies in cases and non-transmitted pseudocontrols, taking into account the technical variability of the data. We selected the highest ranked SNPs for individual genotyping, after excluding poorly performing SNPs and those that showed a trend in the opposite direction in the control pool. We genotyped 63 SNPs in 574 trios and analysed the results with the transmission disequilibrium test. Forty of those were significant at P<0.05, with the best result at P=1.2 x 10(-6) for rs11064768. This SNP is within the gene CCDC60, a coiled-coil domain gene. The third best SNP (P=0.00016) is rs893703, within RBP1, a candidate gene for schizophrenia. - Source: PubMed
Publication date: 2008/03/11
Kirov GZaharieva IGeorgieva LMoskvina VNikolov ICichon SHillmer AToncheva DOwen M JO'Donovan M C