EphB1 Control Peptide
- Known as:
- EphB1 Control Peptide
- Catalog number:
- AP14294CP-N
- Product Quantity:
- 0.1 mg
- Category:
- -
- Supplier:
- ACR
- Gene target:
- EphB1 Control Peptide
Related genes to: EphB1 Control Peptide
- Gene:
- EPHB1 NIH gene
- Name:
- EPH receptor B1
- Previous symbol:
- EPHT2
- Synonyms:
- Hek6
- Chromosome:
- 3q22.2
- Locus Type:
- gene with protein product
- Date approved:
- 1995-03-23
- Date modifiied:
- 2016-01-15
Related products to: EphB1 Control Peptide
Related articles to: EphB1 Control Peptide
- Opioids are the primary treatment for severe pain in clinical practice. However, repeated exposure to opioids leads to tolerance, and underlying mechanisms remain elusive. The present study demonstrates that EphB1 receptors play an important role in opioid antinociception through orchestrating µ-opioid receptor (MOR) trafficking. Morphine administration activates EphB1 receptors in the dorsal root ganglion (DRG) and the spinal cord. Deletion of EphB1 receptors in DRG neurons or vesicular glutamate transporter 2 (Vglut2)-expressing neurons in the spinal dorsal horn (DH) augments morphine antinociception. MOR and EphB1 receptors are co-expressed in the somata and axons of DRG neurons and DH Vglut2 neurons. Deletion of EphB1 receptors in DRG neurons increases opioid-induced suppression of calcium currents, and ablation of EphB1 receptors in Vglut2 neurons enhances opioid-induced inhibition of excitatory synaptic transmission and induction of outward currents in Vglut2 DH neurons. Mechanistically, EphB1 receptors form a complex with MOR and G protein-coupled receptor kinase 2 (GRK2) and regulate GRK2-mediated phosphorylation of MOR at Ser, thus controlling MOR internalization. These findings support the idea that activation of EphB1 receptors may facilitate the development of opioid tolerance through regulating MOR. - Source: PubMed
Publication date: 2026/09/30
Peng BoLin XiaqingYao HongyuLi ChengLiao HuabaoLiu YuexinCao BoxuSong Xue-Jun - Indigenous chickens play a critical role in food security and climate resilience in smallholder systems, yet their genomic diversity and adaptive potential remain insufficiently characterised. This study employed low-pass whole-genome sequencing (LP-WGS; 0.2-1.99×) to investigate genomic diversity, population structure, inbreeding and candidate environment-associated genomic variation in 33 chickens from highland, midland, and lowland agroecologies in the Tigray region of northern Ethiopia. After imputation and stringent filtering, 23.4 million high-confidence SNPs were retained, including ~ 17% novel variants, indicating substantial uncharacterised genetic diversity in these populations. SNP density (13.8 ± 8.6 SNPs/kb) was comparable to values reported from high-coverage Ethiopian chicken datasets, demonstrating the suitability of LP-WGS for population genomics in resource-limited settings. Marked differences in genomic diversity were observed among ecotypes: midland chickens showed the highest nucleotide diversity (π = 0.00267), followed by lowland (π = 0.00233), whereas highland chickens showed the lowest diversity (π = 0.00203) and elevated genomic inbreeding (F and F ≈ 0.18). Population structure analyses revealed clear genetic separation among ecotypes. PCA (13.91% variation explained) distinguished lowland chickens along PC1 and separated highland from midland along PC2, while ADMIXTURE and F patterns supported three major ancestral genomic backgrounds. Functional annotation of private missense variants uncovered distinct adaptive signatures reflecting the contrasting agroecological conditions. Highland chickens showed enrichment of candidate genes potentially involved in physiological processes relevant to high-altitude environments, including cold response, angiogenesis, cardiovascular regulation and metabolic homeostasis (eg., PARP1, ACOX2, ITGB3, EDNRB, SOX8, and SOX10). Midland chickens exhibited candidate signals of selection in genes with known roles in innate antiviral immunity, bacterial defence and inflammatory regulation (eg., BAK1, CLSTN1, CYSLTR1, CYSLTR2, CXCR7, GIPR, DSCAM, GDAP1, TLR3, TLR4, TLR7, IFIH1, ADORA1, EPHB1, and TMPRSS2). Lowland chickens displayed candidate variants associated with heat-stress response, DNA damage repair, oxidative balance and cardiovascular support under extreme temperatures (e.g., MLH1, BDKRB1, GPR19, FLT1, CCL18, TGM2, and RAMP3). Overall, the results indicate substantial genomic differentiation among ecotypes and suggest candidate environment-associated genetic divergence across Tigray's diverse agroecological zones. These populations may represent important reservoirs of adaptive genetic variation for climate-resilient poultry breeding, warranting further functional validation and conservation-oriented management. - Source: PubMed
Publication date: 2026/09/02
Gebru GebreslassieBelay GurjaZegeye TsadkanDessie TadelleBirhanie MinisterZenebe MulalemSalim BashirKatrina MorrisHanotte OlivierVallejo-Trujillo Adriana - Diabetic kidney disease (DKD) is characterized by heterogeneous renal histological patterns, among which interstitial fibrosis and tubular atrophy (IFTA) is a key determinant of patient outcomes and treatment response. However, blood biomarkers reflecting IFTA burden remain unestablished. - Source: PubMed
Publication date: 2026/08/21
Han Seung SeokSurapaneni Aditya LSchmidt Insa MYun DonghwanMa XufanMoon Kyung ChulSrivastava AnandPalsson RagnarStillman Isaac EWaikar Sushrut SGrams Morgan ERhee Eugene P - BackgroundDifferential expression of long non-coding RNAs (lncRNAs) in brain, serum, and blood show strong potential to distinguish Alzheimer's disease (AD) from healthy controls.ObjectiveTo explore whether lncRNA signatures delineate AD pathology and map to distinct, multidimensional cognitive domains, enhancing specificity in assessing AD severity and progression.MethodsWe profiled 29,603 lncRNAs transcripts in blood samples from 15 AD patients and 15 healthy controls, alongside comprehensive neuropsychological assessments. Generalized Linear Models and Predictive Power Score analyses, with statistical prioritization, identified lncRNAs associated to AD neuropsychological architecture.ResultsSeveral lncRNAs share strongly associated with cognitive performance and AD severity, mapping to genes involved in key AD-related molecular processes, including synaptic and neurotransmitter regulation (e.g., , , ), protein homeostasis and Aβ pathology (e.g., , , ), mitochondrial function and cellular stress (e.g., , ), neuroinflammation and immune regulation (e.g., , , ), epigenetic and transcriptional control (e.g., , , ), neuronal excitability (e.g., ), and neuroprotection and synaptic plasticity (e.g., ). Novel associations included ferroptosis, DNA stability, microtubule dynamics, and dendritic orientation (e.g., , , , , , , ).ConclusionsWe identify candidate lncRNA signatures that may serve as potential biomarkers and enhance our understanding of the molecular basis of the cognitive architecture in AD, opening new avenues for biomarker identification and targeted therapeutic strategies development. Validation in larger, diverse cohorts is essential to confirm their mechanistic contributions to AD. - Source: PubMed
Publication date: 2026/07/29
Mosquera-Heredia María IVidal Oscar MBarceló ErnestoMorales Luis CSilvera-Redondo CarlosBolívar Daniel AAllegri RicardoArcos-Burgos MauricioGaravito-Galofre PilarVélez Jorge I - Circadian disruption affects multiple aspects of human health, but the genetic architecture of individual susceptibility remains unclear. We examined the genetics of the Circadian Imbalance Index (CII), an additive 0-5 score combining evening chronotype, short/long sleep, high neuroticism, atypical caffeinated coffee intake, and low vitamin D. - Source: PubMed
Publication date: 2026/07/21
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