Monoclonal Mouse ITM2C Antibody
- Known as:
- Monoclonal Mouse ITM2C Antibody
- Catalog number:
- abx000080
- Product Quantity:
- EUR
- Category:
- -
- Supplier:
- Abbexa
- Gene target:
- Monoclonal Mouse ITM2C Antibody
Related genes to: Monoclonal Mouse ITM2C Antibody
- Gene:
- ITM2C NIH gene
- Name:
- integral membrane protein 2C
- Previous symbol:
- -
- Synonyms:
- BRI3, E25, hRPC.1050_D_4, ITM3, BRICD2C
- Chromosome:
- 2q37.1
- Locus Type:
- gene with protein product
- Date approved:
- 1999-07-22
- Date modifiied:
- 2016-10-05
Related products to: Monoclonal Mouse ITM2C Antibody
Related articles to: Monoclonal Mouse ITM2C Antibody
- Drug discovery is a lengthy and expensive process, taking an average of 10 years and more than USD 2 billion from target discovery to drug approval. It is even more challenging in complex diseases due to disease heterogeneity and limited knowledge about the underlying mechanisms. We present a novel computational framework that integrates network analysis, statistical mediation, and deep learning to identify causal target genes and repurposable small-molecule candidates. : We applied weighted gene co-expression network analysis (WGCNA) and bidirectional mediation analysis (causal WGCNA) to transcriptomic data from idiopathic pulmonary fibrosis (IPF) patients to identify genes causally linked to the disease phenotype. These genes were used as a phenotypic signature for deep learning-based compound screening using the DeepCE model. : Using RNA-seq data from 103 IPF patients and 103 controls, we identified seven significantly correlated modules and 145 causal genes. Five of these genes ( and ) were predictive of disease severity in IPF. Our compound screening identified several promising candidates, such as Telaglenastat (GLS1 inhibitor), Merestinib (MET kinase inhibitor), and Cilostazol (PDE3 inhibitor), with significant inverse correlation with the IPF-specific gene signature. : This study demonstrates the utility of combining causal inference and deep learning for drug discovery. Our framework identified novel gene targets and therapeutic candidates for IPF, offering a scalable strategy for phenotype-driven drug discovery and repurposing. - Source: PubMed
Publication date: 2025/08/30
Ghandikota SudhirJegga Anil G - Advancements in AI-powered systems medicine have revolutionized biomarker discovery through emergent and explainable features. By use of complex network dynamics and graph-based machine learning, we identified critical determinants of lineage-specific plasticity across the single-cell transcriptomics of pediatric high-grade glioma (pHGGs) subtypes: IDHWT glioblastoma and K27M-altered diffuse midline glioma. Our study identified network interactions regulating glioma morphogenesis via the tumor-immune microenvironment, including neurodevelopmental programs, calcium dynamics, iron metabolism, metabolic reprogramming, and feedback loops between MAPK/ERK and WNT signaling. These relationships highlight the emergence of a hybrid spectrum of cellular states navigating a disrupted neuro-differentiation hierarchy. We identified transition genes such as DKK3, NOTCH2, GATAD1, GFAP, and SEZ6L in IDHWT glioblastoma, and H3F3A, ANXA6, HES6/7, SIRT2, FXYD6, PTPRZ1, MEIS1, CXXC5, KDM4C, and NDUFAB1 in K27M subtypes. We also identified MTRNR2L1, GAPDH, IGF2, FKBP variants, and FXYD7 as transition genes (plasticity signatures) that influence cell fate decision-making across both subsystems. We also discovered hub genes such as ITM2C, NOP16, ACTB in IDHWT, and MTRNR2L1, EEF1A1, RPS3A, and H3F3A in K27M gliomas, which serve as central regulators of glioma plasticity and potential therapeutic targets. Our findings suggest pHGGs are developmentally trapped in states exhibiting maladaptive behaviors, and hybrid cellular identities. In effect, tumor heterogeneity (metastability) and plasticity emerge as stress-response patterns to immune-inflammatory microenvironments and oxidative stress. Furthermore, we show that pHGGs are steered by developmental trajectories from radial glia predominantly favoring neocortical cell fates, in telencephalon and prefrontal cortex (PFC) differentiation. By addressing underlying patterning processes and plasticity networks as therapeutic vulnerabilities, our findings provide precision medicine strategies aimed at modulating glioma cell fates and overcoming therapeutic resistance. We suggest transition therapy toward neuronal-like lineage differentiation as a potential precision therapy to help stabilize pHGG plasticity and aggressivity. - Source: PubMed
Publication date: 2025/08/22
Uthamacumaran Abicumaran - This study aimed to compare the effects of dietary methionine (Met) and 2-hydroxy-4-(methylthio)-butanoate (HMTBA) on the eggshell quality of broiler breeder hens and elucidate the mechanism of Met in improving eggshell quality from the perspectives of eggshell microstructure and shell gland physiological function. A total of 720 WOD188 broiler breeder hens at 40 weeks old were assigned to 3 groups, with 8 replicates per group and 30 birds per replicate. Over 7 weeks, birds were fed a basal diet or the same diet supplemented with 0.15% Met or 0.17% HMTBA. Our findings revealed significant improvements in the Met group for egg shape index, shell thickness, breaking strength, and fracture toughness ( < 0.05), whereas the HMTBA group showed no significant improvements ( > 0.05). Met supplementation increased calcium and phosphorus levels in both serum and shell gland tissue ( < 0.05), and enhanced Ca ATPase activity in shell gland tissue ( < 0.05). Histomorphological changes cluded enhanced mucosal fold dimensions and increased epithelial height in the shell gland ( < 0.05). Met also improved eggshell ultrastructure, resulting in a thicker effective layer and broader mammillae with fewer type B structures ( < 0.05). The mRNA levels for genes regulating eggshell ultrastructure, such as ovocleidin-116 (), calbindin 1 (1), and integral membrane protein 2C (2), were significantly upregulated in the Met group ( < 0.05). Transcriptome analysis identified 248 differentially upregulated genes in the Met group, primarily linked to the non-canonical Wnt/Ca signaling pathway, crucial for calcium ion transport and cellular proliferation. This research highlights that Met supplementation improves eggshell quality by enhancing calcium transport and cellular proliferation in uterine function, particularly through the modulation of Wnt family member 11 (11) and , influencing calcium deposition and ultrastructural development. - Source: PubMed
Publication date: 2024/07/17
Gao MingkunChen YouyingLi XiaominLi DongliLiu AiqiaoGong LuNing ZhonghuaNie WeiGuo YumingLv Zengpeng - Multiple myeloma (MM), an incurable plasma cell malignancy. The significance of the relationship between natural killer (NK) cell-related genes and clinical factors in MM remains unclear. - Source: PubMed
Publication date: 2024/06/04
Mei NanGong ShaWang LizhaoWang LuWang JinchengLi JianpengBao YingyingZhang HuanmingWang Huaiyu - Colorectal cancer affects the colon or rectum and is a common global health issue, with 1.1 million new cases occurring yearly. The study aimed to identify gene signatures for the early detection of CRC using machine learning (ML) algorithms utilizing gene expression data. The TCGA-CRC and GSE50760 datasets were pre-processed and subjected to feature selection using the LASSO method in combination with five ML algorithms: Adaboost, Random Forest (RF), Logistic Regression (LR), Gaussian Naive Bayes (GNB), and Support Vector Machine (SVM). The important features were further analyzed for gene expression, correlation, and survival analyses. Validation of the external dataset GSE142279 was also performed. The RF model had the best classification accuracy for both datasets. A feature selection process resulted in the identification of 12 candidate genes, which were subsequently reduced to 3 (CA2, CA7, and ITM2C) through gene expression and correlation analyses. These three genes achieved 100% accuracy in an external dataset. The AUC values for these genes were 99.24%, 100%, and 99.5%, respectively. The survival analysis showed a significant logrank -value of 0.044 for the final gene signatures. The analysis of tumor immunocyte infiltration showed a weak correlation with the expression of the gene signatures. CA2, CA7, and ITM2C can serve as gene signatures for the early detection of CRC and may provide valuable information for prognostic and therapeutic decision making. Further research is needed to fully understand the potential of these genes in the context of CRC. - Source: PubMed
Publication date: 2023/09/22
Maurya Neha ShreeKushwaha SandeepVetukuri Ramesh RajuMani Ashutosh