IRAK2 Mouse Monoclonal Antibody
- Known as:
- IRAK2 Mouse Monoclonal Antibody
- Catalog number:
- BIN-003656-M01
- Product Quantity:
- 0.05mg
- Category:
- -
- Supplier:
- Zyagen
- Gene target:
- IRAK2 Mouse Monoclonal Antibody
Ask about this productRelated genes to: IRAK2 Mouse Monoclonal Antibody
- Gene:
- IRAK2 NIH gene
- Name:
- interleukin 1 receptor associated kinase 2
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 3p25.3
- Locus Type:
- gene with protein product
- Date approved:
- 1998-06-22
- Date modifiied:
- 2016-10-05
Related products to: IRAK2 Mouse Monoclonal Antibody
Related articles to: IRAK2 Mouse Monoclonal Antibody
- (), a spiral Gram-negative bacterium colonizing gastric mucosa, damages epithelial cells, driving chronic gastritis, peptic ulcers, and gastric cancer. Mechanisms of its malignant transformation remain unclear. - Source: PubMed
Publication date: 2026/02/13
Zhang MinglinHe XueZhao XuelinCai TingLiu XiaomingWang Fen - This study explores repetitive Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) sequences from the archaea and (), as well as from the bacterium (). These sequences are compared with human microRNA (miRNA) sequences to investigate potential genetic similarities and disease associations. - Source: PubMed
Ramezani ReyhaneBehbahani MandanaMohabatkar HassanSarraf Mamouri KimiaHejazi Fatemeh - Titanium and its alloys are widely used in dental implants owing to their excellent biocompatibility and corrosion resistance, despite their elastic moduli mismatch with bone and insufficient interfacial bioactivity which often restrict their osseointegration performance, particularly in the early stage after implantation. To address these limitations, a boronized Ti6Al4V/hydroxyapatite (HA) composite with improved structural and biological performance was developed. Scanning electron microscopy and atomic force microscopy confirmed a micro/nanostructured surface with increased roughness. RNA sequencing of osteoblasts cultured on the composite identified 683 upregulated and 838 downregulated genes relative to Ti6Al4V. Gene ontology enrichment revealed biological processes related to cell adhesion, extracellular matrix remodeling, and integrin-mediated signaling, whereas KEGG pathway analysis indicated activation of cell cycle, PI3K/Akt, and calcium signaling pathways. Gene set variation analysis further highlighted eight key upregulated genes-CYP1A1, CRLF2, HBEGF, IRAK2, DLL1, CYP1B1, BLOC1S5-TXNDC5, and TRIP13. Functional validation demonstrated that the TRIP13 expression correlated positively with osteogenic differentiation, in conjunction with activation of the PI3K/Akt signaling pathway. Collectively, these findings proved a TRIP13-associated transcriptional response linked to osteogenic regulation on the boronized Ti6Al4V/HA composite surface, offering a mechanistic insight into the design of bioactive titanium-based implants with improved osseointegration. - Source: PubMed
Publication date: 2026/01/17
Chen YihongChen XiaojieLiu BoyuXiong HengrongPeng ZhiweiPeng Qian - Inflammation plays a critical role in cancer initiation and progression by modulating the tumor microenvironment and immune responses. Interleukin-1 receptor-associated kinase 2 (IRAK2) is a key mediator of the Toll-like receptor and interleukin-1 receptor signaling pathways, its pan-cancer expression patterns, genomic and epigenetic features, immune-related roles, and clinical relevance remain unclear. - Source: PubMed
Publication date: 2025/12/29
Dong HaiJianYao YuanqianNiu QunGong XueqingMou YuZeng ZijianLi Hui - Mastitis is a common and multifactorial disease in dairy cattle that leads to a major challenge in the livestock industry, in terms of both animal welfare and economic factors. Despite extensive research on mastitis, particularly gene expression profiling, the role of RNA stability dynamics remains unexplored and no study has investigated RNA stability dynamics in this disease. We hypothesized that genes important for mastitis development exhibit similar RNA stability patterns, with increased stability following infection as a response mechanism. Therefore, RNA stability pattern of genes between healthy and infected samples were investigated to identify potential modules associated with bovine mastitis. To test this hypothesis, gene stability was estimated based on an RNA-Seq dataset and a gene co-expression network was constructed using WGCNA approach. Finally, a novel propagation-based algorithm was developed to assess identified module consistency. A total of 13 gene modules with three different RNA stability patterns were identified: (1) increased stability in infected samples for the red module (innate immunity), (2) increased stability in infected samples for the yellow module (cytokine pathways), and (3) decreased stability in infected samples for the blue module (health related pathways). Of these, genes in yellow and red modules showed an increase of stability after infection. The red module was significantly associated with the innate immune activation (adjusted p-value < 0.05), while cytokine/chemokine-related pathways was predominantly enriched in the yellow module (adjusted p-value < 0.05). Propagation network analysis demonstrated the functional relationships of genes in both modules. In fact, the distinct RNA stability profiles between healthy and infected samples provided a powerful approach to identify two biologically meaningful and disease-related modules. Further investigations revealed that a large number of genes in these modules have been previously reported as important regulators involved in mastitis development including , , , , , , , , and . Moreover, a number of genes, including , , , , , , , , , and were of particular interest because they are well-known immune response-associated genes and can be considered novel candidates involved in mastitis. These findings highlighted the importance role of RNA stability in the progression of mastitis. The results of this study contribute to a better understanding of the molecular mechanisms of the disease and provide a foundation for future research aimed at improving the health and productivity of dairy cattle. - Source: PubMed
Publication date: 2025/12/06
Shirazi Mohammad AminBakhtiarizadeh Mohammad RezaSalehi Abdolreza