C6orf129
- Known as:
- C6orf129
- Catalog number:
- 003186A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- C6orf129
Related genes to: C6orf129
- Gene:
- CCDC167 NIH gene
- Name:
- coiled-coil domain containing 167
- Previous symbol:
- C6orf129
- Synonyms:
- dJ153P14.2
- Chromosome:
- 6p21.2
- Locus Type:
- gene with protein product
- Date approved:
- 2003-05-29
- Date modifiied:
- 2015-08-24
Related products to: C6orf129
Related articles to: C6orf129
- Understanding the genetic regulation underlying host-microbiota interactions is key to elucidating how microbial communities influence host metabolism, immunity, and physiology. In this context, the main objective of this study was to integrate genomic, transcriptomic, and microbial data to identify shared regulatory variants, highlight key microbial taxa, and prioritize biological pathways related to lipid metabolism, immune function, and host metabolic adaptation across multiple tissues in 72 immunocastrated male Large White pigs (Sus scrofa). Expression quantitative trait loci (eQTL)-informed association analyses were performed to link the gut microbiota with host genetics. The analyses included microbial amplicon sequence variants (ASVs, ≥ 10% prevalence) from 16S rRNA sequencing, along with host cis- and trans-eQTL identified in brain, liver, and muscle tissues. Cross-tissue associations were detected between host gene expression and several bacterial genera, particularly Oscillospira, Candidatus Methanoplasma, Roseburia, Anaerostipes, and Monoglobus. A subset of eQTL, cis- and/or trans, showed multiple significant associations and regulated the expression of genes including ZDHHC2, TMEM69, and CCDC167, which have been implicated in lipid metabolism, immune regulation, and energy balance. The brain's gene expression showed the most significant number of regulatory variants and enriched pathways related to fatty acid metabolism and immune processes, highlighting potential interactions along the gut-brain axis. These findings provide insights into the underlying host-microbiota relationships in pigs. Integrating eQTL and microbiota data across tissues revealed genetically mediated, cross-tissue regulatory networks linking microbial composition to host metabolic and immune functions. This offers a framework for functional validation and multi-omics studies in pigs. - Source: PubMed
Publication date: 2026/08/15
Sabino de Oliveira CamilaSilva-Vignato BárbaraFanalli Simara LarissaDurval Mariah CastroFreitas Felipe André OliveiraFelício Andrezza MariaNascimento Lucas EchevarriaCiconello Fernanda NeryDos Santos Thiago Sugizakide Almeida Regitano Luciana CorreiaBrito Luiz FCesar Aline Silva Mello - This study is aimed to investigate the causal relationship between plasma proteins and oral cancer risk using two-sample MR (Mendelian randomization). - Source: PubMed
Publication date: 2024/09/08
Tian TaoLi SiminHu ShaonanZhao YiweiSchmalz GerhardAcharya AneeshaHuang Shaohong - According to cancer statistics reported in 2020, breast cancer constitutes 30% of new cancer cases diagnosed in American women. Histological markers of breast cancer are expressions of the estrogen receptor (ER), the progesterone receptor (PR), and human epidermal growth factor receptor (HER)-2. Up to 80% of breast cancers are grouped as ER-positive, which implies a crucial role for estrogen in breast cancer development. Therefore, identifying potential therapeutic targets and investigating their downstream pathways and networks are extremely important for drug development in these patients. Through high-throughput technology and bioinformatics screening, we revealed that coiled-coil domain-containing protein 167 (CCDC167) was upregulated in different types of tumors; however, the role of CCDC167 in the development of breast cancer still remains unclear. Integrating many kinds of databases including ONCOMINE, MetaCore, IPA, and Kaplan-Meier Plotter, we found that high expression levels of CCDC167 predicted poor prognoses of breast cancer patients. Knockdown of CCDC167 attenuated aggressive breast cancer growth and proliferation. We also demonstrated that treatment with fluorouracil, carboplatin, paclitaxel, and doxorubicin resulted in decreased expression of CCDC167 and suppressed growth of MCF-7 cells. Collectively, these findings suggest that CCDC167 has high potential as a therapeutic target for breast cancer. - Source: PubMed
Publication date: 2021/01/10
Chen Pin-ShernHsu Hui-PingPhan Nam NhutYen Meng-ChiChen Feng-WeiLiu Yu-WeiLin Fang-PingFeng Sheng-YaoCheng Tsung-LinYeh Pei-HsiangOmar Hany ASun ZhengdaJiang Jia-ZhenChan Yi-ShinLai Ming-DergWang Chih-YangHung Jui-Hsiang