IKIP antibody
- Known as:
- IKIP (anti-)
- Catalog number:
- orb100026
- Product Quantity:
- EUR
- Category:
- -
- Supplier:
- Biorbyt biorb
- Gene target:
- IKIP antibody
Related genes to: IKIP antibody
- Gene:
- IKBIP NIH gene
- Name:
- IKBKB interacting protein
- Previous symbol:
- -
- Synonyms:
- FLJ31051, IKIP
- Chromosome:
- 12q23.1
- Locus Type:
- gene with protein product
- Date approved:
- 2009-10-05
- Date modifiied:
- 2014-11-19
Related products to: IKIP antibody
Related articles to: IKIP antibody
- The response of lung cancer to chemoradiotherapy (CRT) is orchestrated by the dynamic interplay between immune microenvironment remodeling and metabolic reprogramming. However, robust biomarkers for predicting patient prognosis remain elusive. In this study, we performed proteomics profiling of 22 pairs of lung cancer specimens and compared CRT-sensitive versus CRT-resistant subtypes. Functional analysis revealed distinct pathway enrichment between the two groups: the CRT-sensitive subtype was predominantly associated with fatty acid oxidation and energy metabolism, whereas the CRT-resistant subtype exhibited elevated immune activation, inflammatory responses, and stress-related signaling. Based on these findings, we developed a LASSO regression-based predictive model that pinpointed a protein signature encompassing IKBKB interacting protein (IKBIP) and citron rho-interacting serine/threonine kinase (CIT) as optimal predictors of CRT efficacy. Subsequent survival analysis further confirmed the prognostic relevance of these proteins. Collectively, our findings emphasize the critical role of the metabolic-immune axis in modulating CRT sensitivity and provide mechanistic insights into the molecular underpinnings of treatment response, thereby offering a clinically translatable tool for guiding precision therapeutic strategies in lung cancer. - Source: PubMed
Publication date: 2026/06/02
Ouyang WeiweiWang YixuanYang JianghuaCao DongdongWang QianjingLuo YuxiTian ChuanHuang HeWang Xinbo - Glioma is the most aggressive tumor of the central nervous system and is associated with poor prognosis, especially in patients with high-grade gliomas. In this study, we investigated the biological role of inhibitor of kappa B kinase interacting protein (IKBIP) in promoting the progression of glioma. Analysis of the TCGA and GTEx databases revealed that IKBIP is upregulated in both lower-grade gliomas (LGG) and glioblastomas (GBM) compared with normal brain tissues. Kaplan-Meier survival analysis demonstrated that IKBIP upregulation is associated with shorter overall survival (OS) and disease-specific survival (DSS) in patients with LGG. Pan-cancer analysis indicated that IKBIP is aberrantly expressed in various malignant tumors, including gliomas. IKBIP knockdown inhibited the proliferation of glioma cells both and . Additionally, IKBIP knockdown in U251 and U87 glioma cell lines significantly suppressed their invasive capacity. Furthermore, IKBIP knockdown resulted in decreased expression of proteins associated with Wnt/β-catenin/epithelial-mesenchymal transition (EMT) pathway, including β-catenin, ZEB1, ZEB2, N-cadherin, whereas the expression of E-cadherin was increased. Conversely, IKBIP overexpression reduced the level of phosphorylated β-catenin (p-β-catenin) while increasing the expression of total β-catenin in glioma cells. Furthermore, we identified that transcription factor SP1 (Specificity Protein 1), which is also upregulated in glioma tissues and cell lines and is associated with the malignant phenotype of glioma, can bind to the promoter region of IKBIP. Upregulation of SPI in glioma cells significantly increased the expression level of IKBIP, while inhibiting the phosphorylation of β-catenin. These findings collectively suggest that upregulation of IKBIP promotes the proliferation and invasive behaviors of glioma cells by activating the Wnt/β-catenin/EMT pathway. Overall, our findings suggest that SP1-IKBIP axis facilitates the proliferation and invasion of glioma through Wnt/β-catenin-associated EMT, and SP1-IKBIP axis may represent a promising target for the clinical diagnosis and treatment of glioma. - Source: PubMed
Publication date: 2026/03/25
Liu NanZhao MingyueXu LeiCui YetingTian YuLi JuanHu XiaoyuZhang TongcunZhen HainingTu Yanyang - Cervical cancer (CC) is a significant global health threat for women worldwide. Although IKBIP has been recognized as an oncogene, little is known about its contribution to CC. Therefore, we aimed to analyze IKBIP expression, its correlation with clinicopathological parameters, and its association with the prognosis in CC. - Source: PubMed
Publication date: 2026/03/20
Wang YanQiao HuiYu PanpanGao WeiRuiZhao ZouyuYang Ping - I Kappa B Kinase Interacting Protein (IKBIP) has been reported to promote tumor progression in diverse cancers. however, the role of IKBIP in hepatocellular carcinoma (HCC) has remained unclear. - Source: PubMed
Publication date: 2026/03/19
Jiao YuanjunGuo LinglingLu YubinLi MengqingZhong YanfengWu BoDong HanxingWang TingChen Erbao - Early diagnosis and biomarker discovery to bolster the therapeutic pipeline for Parkinson's disease (PD) are urgently needed. In this study, we leverage the large-scale, whole-blood total RNA and DNA sequencing data from the Accelerating Medicines Partnership in Parkinson's Disease (AMP PD) program to identify PD-associated RNAs, including both known genes and novel circular RNAs (circRNA) and enhancer RNAs (eRNAs). Initially, 874 known genes, 783 eRNAs, and 35 circRNAs were found differentially expressed in PD blood in the PPMI cohort (FDR < 0.05). Based on these findings, a novel multi-omics machine learning model was built to predict PD diagnosis with high performance (AUC = 0.89), which was superior to previous models. We further replicated this discovery in an independent PDBP/BioFIND cohort and confirmed 1,111 significant marker genes, including 491 known genes, 599 eRNAs, and 21 circRNAs. Functional enrichment analysis showed that the PD-associated genes are involved in neutrophil activation and degranulation, as well as the TNF-α signaling pathway. By comparing the PD-associated genes in blood with those in human brain dopamine neurons in our BRAINcode cohort, we found only 44 genes (9% of the known genes) showing significant changes with the same direction in both PD brain neurons and PD blood, among which are neuroinflammation-associated genes IKBIP, CXCR2, and NFKBIB. Our findings demonstrated consistently lower SNCA mRNA levels and the increased expression levels of VDR gene in the blood of early-stage PD patients. In summary, this study provides a generally useful computational framework for further biomarker development and early disease prediction. We also delineate a wide spectrum of the known and novel RNAs linked to PD that are detectable in circulating blood cells in a harmonized, large-scale dataset. - Source: PubMed
Publication date: 2025/06/20
Dong XianjunHu RuifengWang RuoxuanYuan JieLin ZechuanHutchins ElizabethLandin BarryLiao ZhixiangLiu GanqiangScherzer Clemens