Ask about this productRelated genes to: KCNK12 Blocking Peptide
- Gene:
- KCNK12 NIH gene
- Name:
- potassium two pore domain channel subfamily K member 12
- Previous symbol:
- -
- Synonyms:
- THIK-2, THIK2, K2p12.1
- Chromosome:
- 2p16.3
- Locus Type:
- gene with protein product
- Date approved:
- 2000-07-31
- Date modifiied:
- 2016-02-04
Related products to: KCNK12 Blocking Peptide
Related articles to: KCNK12 Blocking Peptide
- Information on chronological age is essential for exploring the life history, conservation, and management of wildlife. Recently, DNA methylation-based methods using blood or skin have been established as alternatives to the traditional tooth-based method in bear species. However, the collection of these tissues is limited to captured or dead individuals. In the present study, we established the first hair-based age estimation model based on DNA methylation levels in brown bears, aiming for future application to less-invasively obtained hair of wild individuals. We performed bisulfite pyrosequencing and measured the methylation levels of hair root DNA. The methylation levels of cytosine-phosphate-guanine sites adjacent to the genes VGF, KCNK12, and ELOVL2 were found to be correlated with age. The best age estimation model used three cytosine-phosphate-guanine sites adjacent to two genes, VGF and KCNK12, with a mean absolute error of 3.2 years and median absolute error of 2.2 years after leave-one-out cross-validation. Our method is innovative because of the simplicity of sampling and the lack of requirement to capture bears. If this method can be widely applied to hair samples obtained in the field, the age structure of wild populations can be understood, contributing to ecological research, conservation, and management of bear species. - Source: PubMed
Publication date: 2025/12/29
Nakamura ShioriYamazaki JumpeiMatsumoto NaoyaHagino KyogoSakamoto HideyukiYamanaka MasamiNakanishi MasanaoJimbo MinaYanagawa YojiroIto HideyukiTsubota ToshioShimozuru Michito - The world has recognized the significance of sustainable animal production, especially in terms of mitigating methane emissions. Developing strategies to mitigate methane without compromising productivity presents a significant challenge for nutritionists and breeders. However, measuring methane emissions at the individual level can be expensive and laborious. Therefore, the use of genomic approaches combined with whole-genome information may be an alternative to overcome these challenges. This study aimed to use sequencing data to carry out GWAS to identify genomic regions and candidate genes involved in biological processes and metabolic pathways of enteric methane emission-related traits (ME: daily methane emission, RME: residual methane emission, MY: methane yield, MI: methane intensity, and MM: methane metabolic). For this, 1042 Nellore animals with phenotypic information and 2744 imputed for sequence genotypes belonging to three breeding programs from Brazil were used. The SNP significance was estimated through frequentist statistics using the single-step GBLUP approach. For ME, a total of 27 significant SNPs were deemed significant (p < 3.55 × 10 ), harboring 89 positional candidate genes. For RME, 21 SNPs showed significant association, and 48 genes were mapped. Regarding MY, 20 SNPs were deemed significant and surrounded 76 candidate genes. For MI, 5 significant SNPs mapped 15 potential candidate genes, while in MM, 10 significant SNPs were located near 50 positional candidate genes. Various statistically significant SNPs and genomic regions on BTA 5, 6, 8, 10, 11, 13, 19, and 27 were shared between methane emission-related traits. Comparing QTL regions affecting methane-related traits showed common genomic regions with QTL previously related to feed efficiency, growth, and enteric methane emission. In general, the potential candidate genes (DUOX1, DUOX2, FRMD4A, NOS2, CHRNB3, CHRNA6, CALM2, EPCAM, MSH2, MSH6, KCNK12, MUC4, MUC20, LDHAL6B, SLC20A2, LIPC, EDNRA, ACOXL, MAP4K4, IL1R1, IL1R2, PLCB3, ESRRA, and BAD) are involved in several biological processes and signaling pathways related to gastrointestinal motility, salivary secretion, enteric nervous system, mucosal barrier integrity, epithelial transport, olfactory receptors, lipid metabolism, oxidative stress, cAMP, cGMP-PKG, MAPK cascade, among others. Our results highlight the complexity of methane emission as a polygenic phenotype, suggesting that bovine genetics can modulate methane emissions by controlling the ruminal ecosystem. These findings may serve as a basis for future research focused on developing selection strategies for more sustainable beef cattle production. - Source: PubMed
Publication date: 2025/12/17
Arikawa Leonardo MMota Lucio F MFonseca Larissa F SFernandes Júnior Gerardo ANasner Sindy L CValente Júlia P SSoares Tainara L SBorges Marcelo SSilva Joel APelaez Amalia MMercadante Maria E ZAlbuquerque Lucia G - Coronavirus disease 2019 (COVID-19) is currently a severe threat to global public health, and the immune response to COVID-19 infection has been widely investigated. However, the immune status and microecological changes in the respiratory systems of patients with COVID-19 after recovery have rarely been considered. We selected 72 patients with severe COVID-19 infection, 57 recovered from COVID-19 infection, and 65 with non-COVID-19 pneumonia, for metatranscriptomic sequencing and bioinformatics analysis. Accordingly, the differentially expressed genes between the infected and other groups were enriched in the chemokine signaling pathway, NOD-like receptor signaling pathway, phagosome, TNF signaling pathway, NF-kappa B signaling pathway, Toll-like receptor signaling pathway, and C-type lectin receptor signaling pathway. We speculate that , CD74, and TNFSF15 may serve as disease biomarkers in COVID-19. Additionally, principal coordinate analysis revealed significant differences between groups. In particular, frequent co-infections with the genera , , , and , among others, were found in COVID-19 patients. Moreover, the random forest prediction model with differential genes showed a mean area under the curve (AUC) of 0.77, and , , , , , , , , , and were identified as the most important genes distinguishing the infected group from the recovered group. sp. FJAT.14266, , and were selected as candidate microbial markers for monitoring the recovery of COVID patients. These results will facilitate the diagnosis, treatment, and prognosis of COVID patients recovering from severe illness. - Source: PubMed
Publication date: 2022/11/22
Meng HuanWang ShuangTang XiaomengGuo JingjingXu XinmingWang DagangJin FangfangZheng MeiYin ShangqiHe ChaonanHan YingChen JinHan JinyuRen ChaoboGao YantaoLiu HuifangWang YajieJin Ronghua - Pancreatic cancer is one of the lethal cancers among solid malignancies. Pathological diagnosis of surgical margins is sometimes unreliable due to tissue shrinkage, invisible field cancerization and skipped lesions like tumor budding. As a result, tumor recurrences sometimes occur even from the pathologically negative surgical margins. - Source: PubMed
Publication date: 2021/09/16
Sunagawa YukiHayashi MasamichiYamada SuguruTanabe HiroshiKurimoto KeisukeTanaka NobutakeSonohara FuminoriInokawa YoshikuniTakami HidekiKanda MitsuroTanaka ChieNakayama GoroKoike MasahikoKodera Yasuhiro - We identified a Japanese patient with Lynch syndrome with a novel large germline deletion of chromosome 2p16-21, including the EPCAM, MSH2, and KCNK12 genes. The proband was a 46-year-old man with ascending colon cancer. The clinical significance of germline KCNK12 gene deletion, which encodes one of the subfamilies of two-pore-domain potassium channels, is still unknown. - Source: PubMed
Publication date: 2021/05/19
Natsume SoichiroYamaguchi TatsuroEguchi HidetakaOkazaki YasushiHoriguchi Shin-IchiroIshida Hideyuki