Polyclonal Rabbit DGKB Antibody
- Known as:
- Polyclonal Rabbit DGKB Antibody
- Catalog number:
- KA1046
- Product Quantity:
- 100ul
- Category:
- -
- Supplier:
- KareBay
- Gene target:
- Polyclonal Rabbit DGKB Antibody
Related genes to: Polyclonal Rabbit DGKB Antibody
- Gene:
- DGKB NIH gene
- Name:
- diacylglycerol kinase beta
- Previous symbol:
- DAGK2
- Synonyms:
- KIAA0718, DGK, DGK-BETA
- Chromosome:
- 7p21.2
- Locus Type:
- gene with protein product
- Date approved:
- 2004-10-20
- Date modifiied:
- 2015-11-09
Related products to: Polyclonal Rabbit DGKB Antibody
Related articles to: Polyclonal Rabbit DGKB Antibody
- Lenvatinib resistance is a major clinical obstacle in the treatment of radioiodine-refractory papillary thyroid cancer (PTC). Clarification of the molecular mechanisms of this resistance is of utmost importance to devise effective therapeutic strategies. We investigated the role of Keratin 15 (KRT15) in lenvatinib resistance through comprehensive in vitro and in vivo studies. Tumor and normal thyroid tissues were analyzed for KRT15 expression and correlation with patient survival. Metabolic profiling was performed to investigate KRT15-dependent alterations in lipid metabolism, namely fatty acid oxidation (FAO). Mechanistic investigations explored the interaction between KRT15, Keratin 81 (KRT81), and Diacylglycerol Kinase B (DGKB). The therapeutic potential of targeting this pathway was evaluated using shRNA-mediated knockdown and pharmacological inhibition. KRT15 overexpression was associated with unfavorable clinical prognosis in thyroid cancer patients. We identified that KRT15 interacts with KRT81 to constitute a regulatory complex, which induces DGKB upregulation. The KRT15-KRT81-DGKB axis controls metabolic reprogramming by upregulating key FAO enzymes (CPT1A and ACOX1), resulting in increased cellular energetics and survival against therapeutic stress. Inhibition of this pathway successfully restored lenvatinib sensitivity in resistant cells. This study illustrates a novel mechanism of cytoskeletal proteins involvement in metabolic adaptation of drug-resistant thyroid cancer cells. The KRT15-KRT81-DGKB pathway is a promising therapeutic target, particularly in combination with lenvatinib, for refractory thyroid cancer patients. - Source: PubMed
Publication date: 2026/04/16
Wang YunjunZhang YuZhao DanWu YiLiao TianWang YuXiang JunChen QiSun Tuanqi - Asymptomatic Alzheimer's Disease (AsymAD) is a preclinical stage of Alzheimer's Disease (AD) identified by amyloid plaques and neurofibrillary tangles in cognitively normal individuals and offers essential understanding for early diagnosis and treatment of AD. To uncover molecular insights into AsymAD, RNA sequencing (RNA-seq) datasets from two different consortia, ROSMAP (Religious Orders Study and Memory and Aging Project) and MSBB (Mount Sinai Brain Bank), were investigated. The individuals in the datasets were grouped into AD and AsymAD based on clinical and neuropathological criteria. Differentially expressed genes (DEGs), differentially expressed transcripts (DETs), and differentially used transcripts (DUTs) were identified between AD and AsymAD samples. The results were interpreted through functional enrichment analysis and compared with the predefined lists of AD-related and learning-memory-cognition-related genes, and genes from an independent mouse dataset. The genes from the list of DEGs, DETs and DUTs were mapped onto a human protein-protein interaction network, revealing subnetworks associated with AsymAD. This led to the discovery of biomarker candidate genes: NRXN3, DGKB, ADAMTS2, GNG4, ENPP5, PCOLCE, COL25A1, COL26A1, MRPL1, and MRPL30. This study introduces an innovative approach by including DETs and DUTs in the analyses, beyond the standard focus on DEGs, pointing out comprehensive insights into the molecular mechanisms of AsymAD. In addition, combining the results of the subnetwork analysis from DEGs, DETs, and DUTs provided a new perspective to AsymAD and resulted in the discovery of further important genes, which can pave the way for early detection and intervention of AD. - Source: PubMed
Publication date: 2026/02/22
Aksu RümeysaLüleci Hatice BüşraÇakır Tunahan - Enhancing growth traits is a key goal in sustainable meat goat production and is often regarded as a primary objective in breeding programmes for meat goats. In this study, whole genome low-depth sequencing data of 300 Longling yellow female goats were used to detect the genome-wide single-nucleotide polymorphisms (SNPs), and the genome-wide association study (GWAS) based on SNPs was performed for the BW, body height (BH), body length (BL), chest circumference (CC), chest depth (CD), chest width (CW), and cannon circumference (cc) at the ages of 3, 9, and 12 months. After genotype imputation and quality control, 6 153 300 SNPs were retained for further analysis. A total of 129 genome-wide significant SNPs were obtained, and these SNPs were annotated to 146 candidate genes associated with body size traits, such as MMP16, MECOM for BW; SCD5, LEF1 for BL; and PDE4D, KCND2 for BH. EPHA5 is pleiotropic, associated with BW, BL, BH, CC, and CW. Notably, ADAMTS3 was linked to CD, while GIGYF2 and DGKB were associated with cc. Functional analysis revealed that 13 candidate genes are implicated in pivotal biological processes, including extracellular matrix organisation and lipid metabolism. Notably, EPHA5, ROS1, and EPHA3 were significantly enriched in molecular functions related to growth factor receptor activity. These findings offer valuable genetic markers for genomic selection in goats, thereby providing resources for advancing precision breeding programmes. - Source: PubMed
Publication date: 2026/01/22
He X YWei Y SKuang J CLi Z FYu Z XWang X YDi RZhu C YChu M X - The sensory quality of pork constitutes a complex phenotype that arises from the interplay between genetic factors and environmental conditions. As a local pig breed in China, Tibetan pigs (TPs) are known for their high-quality meat. However, their slow growth rate and low production efficiency limit their large-scale breeding. We have used Duroc as a hybrid sire to improve TP. Our study found that TPs have higher intramuscular fat content and higher levels of monounsaturated fatty acids. Duroc × Tibetan crossbred pigs (DZs) not only retain the paternal high productivity but also inherit the superior meat quality of the maternal parent. Transcriptome analysis identified , , , , , , , and as being involved in affecting meat quality. Metabolomic analysis found that betaine, carnosine, L-carnitine, and lysophosphatidylcholine were important components that affect meat quality. Joint analysis further reveals that the expression of , , , and genes is closely related to arachidonic acid, lysophosphatidylcholine, betaines, and hypoxanthine, ultimately affecting the quality of the meat. By comprehensively analyzing the carcass and meat quality traits, genes and metabolites affecting meat quality traits, this study provides new evidence for improving pork quality and guiding breeding strategies. - Source: PubMed
Publication date: 2026/01/11
Wu JundaHuang QiuyanLi BaohongQu ZixiaoLi XinmingLi FeiXin HaiyunWu JieHu ChuanhuoLin SenZhu XiangxingTang DongshengMeng ChuangDu ZongliangZuo ErweiMeng FanmingWang Sutian - Chinese indigenous goat breeds exhibit rich genetic diversity and a long history of domestication, endowing these native populations with superior traits in environmental adaptation, forage utilization, and disease resistance. The identification of selection signatures through comparative genomic analysis could facilitate the understanding of breed differentiation and enables the discovery of functionally important genes. Using whole-genome sequencing data (23.87× Average coverage), we assessed genetic variation, population stratification, runs of homozygosity (ROH), and selection signatures in two Chinese goat breeds: Inner Mongolia cashmere goats (IMCGs, = 200) and Zhongwei goats (ZWGs, = 200). - Source: PubMed
Publication date: 2026/01/20
Han MingxuanRong YoujunWang XinleAo XiaofangShang FangzhengWang ZhiyingSu RuiWang RuijunLiu YongbinZhang Yanjun