HEY1 antibody - middle region (ARP41453_P050)
- Known as:
- HEY1 (anti-) - middle region (ARP41453_P050)
- Catalog number:
- arp41453_p050
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Aviva Systems Biology
- Gene target:
- HEY1 antibody - middle region (ARP41453_P050)
Ask about this productRelated genes to: HEY1 antibody - middle region (ARP41453_P050)
- Gene:
- HEY1 NIH gene
- Name:
- hes related family bHLH transcription factor with YRPW motif 1
- Previous symbol:
- -
- Synonyms:
- HESR-1, CHF2, HESR1, HRT-1, CHF-2, HERP2, bHLHb31
- Chromosome:
- 8q21.13
- Locus Type:
- gene with protein product
- Date approved:
- 1999-12-07
- Date modifiied:
- 2016-02-23
Related products to: HEY1 antibody - middle region (ARP41453_P050)
Related articles to: HEY1 antibody - middle region (ARP41453_P050)
- Muscle stem cells (MuSCs) are the cellular source for the generation and regeneration of skeletal muscle. Proper muscle growth requires precise control over the differentiation and self-renewal of MuSCs. Signaling systems, such as bone morphogenetic proteins (BMPs) and Notch, suppress the myogenic differentiation of MuSCs. This allows the expansion of the progenitor pool necessary for muscle growth. To better understand the molecular mechanisms and target genes of BMPs during myogenesis, we examined the response of adult mouse MuSCs to BMP6. BMP6 stimulation of freshly isolated MuSCs suppressed myogenic differentiation. Short-term stimulation (one hour) rapidly increased the expression of classical BMP target genes, such as , as well as Notch pathway genes, including , , , and . We used Cleavage Under Targets and Tagmentation (CUT&Tag) to generate whole-genome binding profiles for pSMAD1/5/9 and SMAD4, which are transcriptional effectors of the BMP pathway. This method detected dynamic binding in promoters and regulatory elements of direct BMP targets, including Notch pathway genes. Our data demonstrate that BMP6 is a potent suppressor of MuSC differentiation and reveal that a subset of well-characterized anti-myogenic genes (i.e., and ) are shared targets of the BMP and Notch pathways. - Source: PubMed
Publication date: 2026/08/19
Lange Birthe Katrin AlexandraPolydorou IoannaHuryn ViktoriiaGeorgieva Angelina MYou ShanshanMüller ThomasMorales-Gonzalez SusanneBrandt BettinaBirchmeier CarmenAmthor HelgeSchuelke Markus - To investigate the role of integrin-associated adhesion signalling in Jagged1-driven osteogenic differentiation and to determine the specific contribution of integrin β3 (ITGβ3). - Source: PubMed
Publication date: 2026/08/17
Kornsuthisopon ChatvadeeChansaenroj AjjimaPhothichailert SuphalakGedik BetulZhang ChengfeiNowwarote NunthawanYuan QuanSilvio Lucy DiOsathanon Thanaphum - Successful implantation requires coordinated decidual differentiation of endometrial stromal cells. This study shows that anandamide treatment of decidualising cells is associated with reduced NOTCH1 activation and selective alterations in decidual, inflammatory and structural programs. - Source: PubMed
Publication date: 2026/08/17
Carriero IleniaLacconi ValentinaBianco ClaudiaBertani NicoleStamme CamillaGasperi ValeriaMassimiani MicolTicconi CarloMaccarrone MauroLa Sala GinaCampagnolo Luisa - Patients with kidney stones (KS) often have an increased risk of atherosclerosis (AS). Because endothelial dysfunction (ED) is closely associated with AS, its role in KS remains unclear. This study aimed to examine the roles and mechanisms of AS-related ED genes in KS. Three datasets (GSE73680, GSE117518, and GSE132651) were analyzed. Differential expression analysis was conducted to identify differentially expressed genes (DEGs). To identify potential biomarkers, least absolute shrinkage and selection operator (LASSO) regression analysis and expression validation were conducted. Further analyses including GeneMANIA, gene set enrichment analysis (GSEA), examination of biomarkers within immune cells and subcellular localization analysis, molecular regulatory network analysis, tissue specificity analysis, and competing endogenous (ceRNA) network analysis were employed to comprehensively explore the functions and regulatory mechanisms of the identified biomarkers. Moreover, drug prediction analysis was conducted. Finally, reverse transcription quantitative polymerase chain reaction (RT-qPCR) was proceeded to verify the expression levels of the biomarkers. A total of 22 DEGs associated with KS and AS were identified. Lasso regression selected 4 candidate biomarkers (MMP10, UCHL1, NEK2, and HEY1), among which UCHL1 and NEK2 were validated as key biomarkers. GeneMANIA and GSEA analyses uncovered the potential involvement of these biomarkers in cell adhesion molecules, focal adhesion, and lysosome pathways. Analysis of immune cells and subcellular localization provided insight into the biological functions and intracellular distribution of the biomarkers. Transcription factor regulatory network and ceRNA network analyses elucidated potential upstream regulatory mechanisms. Drug prediction analysis identified 17 potential drugs, including pazopanib and palbociclib, that may target NEK2. RT-qPCR demonstrated that NEK2 was significantly overexpressed in KS samples. This study identified biomarkers associated with KS and AS and comprehensively analyzed their molecular regulatory networks. These findings provide novel understandings of the molecular mechanism underlying KS and lay the foundation for future personalized treatment and drug development. - Source: PubMed
Publication date: 2026/08/04
Li AinaLiu ChenjingLiu XiangshenChen LeiWang DongZhu Changyan - Papillary thyroid carcinoma (PTC) typically exhibits a favorable prognosis; however, lymph node and distant metastases continue to present significant clinical challenges. Plectin isoform 1d () contributes to myofiber integrity and is implicated in cytoskeletal organization and cancer cell motility, but its role in PTC progression is largely unknown. In this study, expression was examined by RT-PCR in three PTC cell lines (MDA-T32, MDA-T41, MDA-T120) and normal thyroid cells (Nthy-ori-3-1). CRISPR-Cas9-mediated knockdown (KD) of was performed in MDA-T41 cells, with KD efficiency confirmed by RT-qPCR. Cell proliferation and migration were assessed using EdU incorporation and wound-healing assays, respectively. RNA sequencing (RNA-seq) combined with RT-qPCR and Western blotting was employed to identify downstream targets. Accordingly, mRNA and total plectin protein levels were substantially elevated only in MDA-T41 cells. KD reduced proliferation by 6.6% and migration by 26%. Transcriptomic analysis revealed 170 differentially expressed genes, including significant downregulation of , , and . HEY1 downregulation was confirmed at both mRNA and protein levels. Although and were also downregulated following KD, mRNA expression varied across PTC cell lines, suggesting cell-line-specific regulation. Notably, was consistently upregulated at the mRNA level in all PTC cell lines, while HEY1 showed elevated expression at both the transcript and protein levels. Collectively, these findings indicate that enhances cell migration and may contribute to cellular processes associated with metastatic behavior in a subset of PTC cells, potentially through a HEY1-dependent mechanism. - Source: PubMed
Publication date: 2026/07/16
Gundesli HulyaBudak BetulArga Kazim Yalcin