ELAVL2 Antibody
- Known as:
- ELAVL2 Antibody
- Catalog number:
- csb-pa007593la01hu
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- CusAb
- Gene target:
- ELAVL2 Antibody
Related genes to: ELAVL2 Antibody
- Gene:
- ELAVL2 NIH gene
- Name:
- ELAV like RNA binding protein 2
- Previous symbol:
- -
- Synonyms:
- HuB, HEL-N1
- Chromosome:
- 9p21.3
- Locus Type:
- gene with protein product
- Date approved:
- 1996-11-15
- Date modifiied:
- 2016-10-05
Related products to: ELAVL2 Antibody
Related articles to: ELAVL2 Antibody
- Alzheimer's disease (AD) plasma and cerebrospinal fluid (CSF) proteomics can distinguish AD from cognitively normal controls, but the generalizability of machine learning performance and the recurrence of biological signals across datasets require cautious interpretation. We developed an explainable artificial intelligence framework spanning two fluids and four ADNI proteomic datasets, covering 2082 modality specific samples, all analysed internally within ADNI. Phase 1 analysed plasma using a 119 analyte NULISA and targeted UPENN panel (n = 727; 216 CE, 511 controls). Phase 2 extended the analysis to CSF using SOMAscan7k, TMT-MS and targeted SET2, with Elecsys Aβ42, Aβ40, total tau and p-tau181 as anchor biomarkers. Only SOMAscan was subject-independent relative to Phase 1 plasma; TMT-MS and SET2 overlapped with Phase 1 for 96.0% and 97.7% of subjects and therefore are not independent replication cohorts. Under subject-level splits with fold internal preprocessing, we compared Elastic Net, Explainable Boosting Machines and gradient boosted trees with SHAP-based explanations. Among the candidate pipelines, we selected the pipeline with the highest held-out test ROC AUC for each platform; the selected values were 0.927 in plasma and 0.954-0.973 across the three CSF datasets. Because the same held out test performance was used for pipeline selection and headline reporting, these are optimistically selected single-holdout estimates, not unbiased estimates of generalizable or clinical performance. Explanations identified five recurring biological axes within ADNI: cholinergic (ACHE), tau/14-3-3 (YWHAG, YWHAZ, YWHAB, YWHAE), neuro-axonal (NEFL, NEFH), microglial/complement (CHIT1, SMOC1, CHI3L1, C7, CFH) and synaptic (NPTXR, NPTX2, DLG4, SYT5, VSNL1, ELAVL2). CSF analyses showed synaptic vesicle-cycle enrichment (q = 2 × 10), and CSF YWHAG correlated strongly with total tau (ρ = 0.87). Cross-fluid directional concordance was modest overall (54-57%) but increased to 73-80% among mapped analyte/protein rows reaching q < 0.05 in CSF. These findings provide hypothesis-generating, internally supported evidence within ADNI. Independent external cohorts with locked pipelines are required to evaluate generalizable performance and biological reproducibility; the overlapping TMT-MS and SET2 analyses should not be interpreted as independent replication. - Source: PubMed
Publication date: 2026/06/15
Donmez Turker BerkMansour Mohammed - Feline alimentary lymphoma encompasses a diverse group of neoplastic subtypes, each presumably arising from distinct cell populations and exhibiting significant variability in biological behaviour and prognosis. Whilst next-generation sequencing technologies have become a more common aid in the diagnosis, prognostication and treatment of lymphoma in humans, these techniques have been sparsely applied to investigate feline alimentary lymphoma. Specifically, current research in this field is mostly focused on differentiating indolent intestinal lymphomas from inflammatory enteropathies. The aim of the study was to apply transcriptomic analysis to identify differentially expressed genes that may correlate with the aggressiveness of various subtypes of feline alimentary lymphoma. Differential gene analysis was applied to RNA sequencing data from 19 cases of feline alimentary lymphoma split into five phenotypes (small T cell, B cell, CD56+ B cell, Large Granular T cell and Large Granular NK cell lymphomas) according to histomorphology and immunohistochemistry. The analysis identified overexpression of several genes involved in extracellular matrix remodelling, transcription factor expression and cellular division, signalling and metabolism in aggressive lymphoma types (ADAMTS14, ADAMTSl2, FOXI3, ELAVL2, CCR1, GCGR, NMUR1, MARC1, SLC29A4, CENPF, IGF2BP3); and overexpression of several tumour suppressor genes in the indolent lymphoma type (RAB17, SYNPO2, GRM4). The differential expression correlated with biologic behaviours. Future investigation into expression of these genes or gene products using molecular, immunohistochemical or hybridisation techniques could yield significant advancements in the prognostication of feline alimentary lymphoma as well as pave the way for the development of targeted immunotherapeutic strategies to aid in the treatment of specific feline alimentary lymphoma subtypes. - Source: PubMed
Publication date: 2026/05/29
McGilp DanielRoccabianca PaolaHulse LyndalAllavena RachelPalmieri Chiara - BACKGROUND: Sepsis-associated acute kidney injury (SA-AKI) is a leading cause of organ failure with high morbidity and mortality. We aimed to investigate the effect and mechanism of KLF2 on SA-AKI cell model, trying to provide novel knowledge for AKI treatment. METHODS: SA-AKI cell model was constructed in HK2 cells by LPS treatment. Levels of KLF2, lncRNA GAS6-AS2 and GOLPH3 were determined by RT-qPCR and WB. After upregulating KLF2 expression, cell viability and cytotoxicity were assessed, KIM-1 and NGAL mRNA levels were detected by RT-qPCR, inflammation level was detected by ELISA, cell apoptosis was detected by flow cytometry, and ROS, MDA, and GSH were tested by kits. The binding of KLF2 to the lncRNA GAS6-AS2 promoter was analyzed. The binding relationships among lncRNA GAS6-AS2, ELAVL2 and GOLPH3 were analyzed by RIP. GOLPH3 mRNA stability was assessed. The role of lncRNA GAS6-AS2/GOLPH3 in KLF2-regulated cell injury was analyzed through combined experiment. RESULTS: KLF2 expression was decreased, while lncRNA GAS6-AS2 and GOLPH3 expressions were increased. In LPS-treated HK2, KLF2 overexpression elevated cell viability, inhibited LDH activity, reduced apoptosis, and decreased KIM-1, NGAL, inflammation, and oxidative stress levels. KLF2 bound to and inhibited the lncRNA GAS6-AS2 promoter, while lncRNA GAS6-AS2 interacted with ELAVL2 and indirectly stabilized GOLPH3. LncRNA GAS6-AS2 or GOLPH3 overexpression attenuated the protective effects of KLF2 overexpression on LPS-induced cellular injury. CONCLUSION: KLF2 binds to and inhibits the transcription of lncRNA GAS6-AS2, which in turn reduces the ELAVL2-mediated stabilization of GOLPH3 mRNA, ultimately alleviating cellular injury in SA-AKI. - Source: PubMed
Publication date: 2026/04/20
Feng WeiZhu Yu-FengLi Kai-YuanXu Xiao-ShuangZhang Bo-YuZhou Jian - Sheep are an economically important livestock species, and reproductive performance is a key trait affecting productivity. The Dorper × Hu hybrid sheep (DHS), widely bred in China, provides a valuable model for studying the genetic basis of prolificacy. This study aimed to investigate the genomic architecture and identify candidate genes associated with high litter size in DHS using whole-genome selective sweep analysis and genome-wide association study (GWAS). A total of 31 DHS individuals with complete reproductive records were sequenced and compared with publicly available genomic data from 20 Hu sheep (HUS) and 10 Dorper sheep (DPS). Population genetic structure and diversity were assessed using phylogenetic trees, principal component analysis (PCA), and ADMIXTURE analysis. To identify key genomic regions associated with litter size, we performed selective sweep analysis between the polytocous and monotocous subpopulations of DHS using multiple methods within a 50 kb sliding window framework, including FST, θπ ratio, XP-CLR, and XP-EHH; we also conducted GWAS. DHS exhibited a distinct genetic structure with admixed ancestry and elevated genetic diversity. Genetic diversity analysis showed that DHS retained moderate levels of heterozygosity and polymorphism, comparable to or exceeding those of its parental breeds. Comparative analysis between polytocous and monotocous DHS identified reproduction-associated genes, including , , , and , enriched in pathways such as ovarian steroidogenesis, insulin secretion, and circadian entrainment. Furthermore, genome-wide association study (GWAS) identified 140 significant loci ( < 10) associated with reproductive traits. From these, 10 candidate SNPs were selected for validation through single-marker association analysis in 200 DHS individuals, among which two loci-g.88680390 C>A (/) and g.18197516 T>C ()-showed significant correlations with litter size. These findings enhance our understanding of the genetic basis of prolificacy in DHS and provide valuable molecular markers for genomic selection in sheep-breeding programs. - Source: PubMed
Publication date: 2025/12/04
Qiao LiyingMa KeYao QuanhongZhang SiyingPang ZhixuWang WannianCai KeLiu Wenzhong - Gliomas are complex and among the most lethal central nervous system (CNS) disorders. While they are notoriously heterogeneous, evidences suggest critical involvement of intricate interactions between RNA-binding proteins (RBPs) and their diverse partners, in the pathogeneses of gliomas. In this study, we used RNA sequencing data from the Cancer Genome Atlas (TCGA) to identify differentially expressed genes (DEGs). After selection of differentially expressed RBPs from these DEGs, systematic investigation of their transcriptomic changes during glioma progression was undertaken. Extensive in silico assessments allowed the creation of their interactome and pathway, identifying potential biological effects of these differentially expressed RBPs. Construction of regulatory networks of these differentially expressed RBPs and their topological analysis discovered key RBPs such as PABPC1, EIF4A2, RPS3, EEF1A1, RPS6, ELAVL2, CPEB1, and CELF5, which are largely involved in alternative splicing and ribosomal biogenesis. Moreover, we also identified differentially expressed RBPs such as YBX1, ELAVL2, and IGF2BP1, which may be involved in the formation of stress granules in gliomas. We also identified highly mutated RBPs, such as RPSA, RPL5, CPEB4, and SMAD7, in gliomas. Further, RBPs like RPS8, RPL5, RPS3A, EEF1A1, and EIF4E1B were found to be strongly correlated with patients' overall survival. Taken together, our analyses identified several candidate RBPs which might serve as potential targets for oncological measures against gliomas. - Source: PubMed
Publication date: 2025/12/08
Haque ShafiulMathkor Darin MansorBabegi Ashjan SaeedAhmad FarazArumugam Mohanapriya