CREB3L4
- Known as:
- CREB3L4
- Catalog number:
- 000408A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- CREB3L4
Related genes to: CREB3L4
- Gene:
- CREB3L4 NIH gene
- Name:
- cAMP responsive element binding protein 3 like 4
- Previous symbol:
- -
- Synonyms:
- AIbZIP, CREB4, CREB3, hJAL, ATCE1
- Chromosome:
- 1q21.3
- Locus Type:
- gene with protein product
- Date approved:
- 2003-12-09
- Date modifiied:
- 2016-10-05
Related products to: CREB3L4
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- Alzheimer's disease (AD) is characterized by progressive neurodegeneration driven by tau and amyloid-β (Aβ) pathology, although the underlying molecular mechanisms remain incompletely understood. Emerging evidence implicates altered DNA methylation (DNAm) in AD but comprehensive analyses in experimental models are limited. Here, we profile DNAm dynamics in two widely used transgenic mouse models of tau (rTg4510) and Aβ (J20) neuropathology, focusing on the entorhinal cortex and hippocampus. Using reduced representation bisulfite sequencing (RRBS) and methylation arrays across multiple disease stages, we identified widespread pathology-associated DNAm alterations in both models. Tau pathology in rTg4510 mice was associated with extensive DNAm remodeling at genes involved in neuronal plasticity, apoptosis, and lipid metabolism, including , , and . In contrast, J20 mice exhibited more modest changes, primarily at immune-related loci such as , , and . Tau-associated DNAm changes were more consistent across brain areas than those associated with Aβ pathology. Comparison with human AD DNAm datasets revealed overlapping DNAm differences, including hypermethylation at and in rTg4510 mice. These findings provide robust evidence for early, pathology-associated epigenetic alterations in AD and highlight the utility of epigenomic profiling in transgenic models for identifying novel targets for early intervention in AD. - Source: PubMed
Publication date: 2026/04/07
Leung Szi KayWalker Emma MPolicicchio StefaniaDahir AishaVellame Dorothea SeilerSmith Adam RSwarbrick RhianLunnon KatieDempster Emma LAhmed ZeshanHannon EilisCastanho IsabelMill Jonathan - Uterine corpus endometrial carcinoma (UCEC) is a common gynecologic malignancy characterized by metabolic reprogramming and immune dysregulation. This study aimed to investigate the prognostic and diagnostic value of lipid metabolism- and oxidative stress-related genes (LMOSGs) in UCEC. - Source: PubMed
Publication date: 2026/04/06
Li HongfengBian JiaZhang QinweiDu QiaoWang YijieShang YapingLi Xuehe - The porcine endometrium undergoes dynamic cellular remodeling across the estrous cycle, yet epithelial heterogeneity and differentiation trajectories remain incompletely characterized. In this study, a single-cell transcriptomic atlas of the endometrial epithelium during the follicular and luteal phases in Meishan pigs was generated using high-resolution single-cell RNA sequencing. Canonical epithelial cell types were identified, including glandular epithelium (GE), secretory glandular epithelium (secretory GE), luminal epithelium (LE), ciliated epithelium, as well as an epithelial stem cell subpopulation marked by ALDH1A3 and LGR5 and a progenitor subpopulation marked by ALDH1A1. During the follicular phase, the epithelium was primarily composed of ALDH1A3+LGR5+ stem cells and ALDH1A1+ progenitor cells, whereas GE, secretory GE, and LE predominated during the luteal phase. Integrated trajectory inference and RNA velocity analyses suggested a continuous differentiation trajectory from ALDH1A3+LGR5+ stem cells through ALDH1A1+ progenitors toward GE. Gene expression patterns indicated that glandular epithelial formation was associated with activation of transcriptional regulatory programs and increased mitochondrial respiratory activity. In contrast, differentiation toward the secretory glandular epithelial lineage was characterized by early activation of stress-response pathways, secretion-related genes, and specific metabolic programs. Several transcription factors, including ZFP36L1, TRPS1, and KLF6, were associated with glandular differentiation, whereas MBD4, CREB3L4, ZNF524, SPDEF, USF1, XBP1, and MLX were predicted to contribute to glandular secretory function. These genes showed significant associations with sow reproductive traits in a phenome-wide association study. Overall, this study provides a single-cell framework for understanding epithelial dynamics in the porcine endometrium across the estrous cycle. - Source: PubMed
Jiang NengjingChen YuejiaYin YanzhenXiao WeiXiao XuemeiMa JinfengLiao XingLiu QianJin XuexiaXu BinBinWang JingZhou TengbinZhao QingboLi PinghuaHuang Ruihua - Ovarian endometriosis is a common gynecological condition characterized by the abnormal growth of endometrial-like tissue in locations outside the uterus, and its development remains poorly understood. This study aims to investigate potential protein regulatory networks and assess their impact on disease risk using both protein quantitative trait locus (pQTL) analysis and Mendelian randomization (MR) techniques. - Source: PubMed
Publication date: 2025/11/11
Song WeiweiJin SisiWang GangZhou YiningYu Juan - The need for prostate cancer (PCa)-specific biomarkers that enable more accurate detection of the disease and better prediction of tumor aggressiveness remains ongoing due to the low cancer specificity of PSA screening. Several potential mRNA markers for diagnosing PCa, in tissue and urine, have been reported in the literature. In this study, we aim to explore the potential of selected prostate-specific molecules and transcripts contained in small extracellular vesicles (sEVs) in semen to predict PCa risk reclassification for patients with moderately elevated PSA levels-a clinical scenario where identifying truly non-invasive biomarkers is especially critical. RT-qPCR analysis in semen sEVs successfully showed differential expression of and genes between PCa and healthy controls, whereas , and levels were related to the severity or degree of PCa affectation. Our findings also present strong evidence that classifiers based on combined long transcript levels in semen sEVs serve as effective biomarkers. They can be used alone or in combination with blood PSA and/or semen citric acid levels to improve the diagnosis of PCa and assess its severity and disease progression with high accuracy. This strategy would allow a more comprehensive assessment, increase prognostic accuracy, and facilitate accurate clinical decision-making in the management of PCa. - Source: PubMed
Publication date: 2025/09/30
Ferre-Giraldo AdrianaCastells ManelMadurga AliciaArbiol-Roca Ariadnade Rocco-Ponce MaurizioBassas LluísVigués FrancescLarriba Sara