c-Jun GST Fusion protein
- Known as:
- c-Jun GST Fusion protein
- Catalog number:
- 30r-2811
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Fitzgerald industries international
- Gene target:
- c-Jun GST Fusion protein
Related products to: c-Jun GST Fusion protein
Related articles to: c-Jun GST Fusion protein
- To investigate how tetrodotoxin-sensitive (TTX-S) and tetrodotoxin-resistant (TTX-R) Na channels coordinately fine-tune action potential (AP) depolarization and firing capability in rat nodose visceral sensory neurons. - Source: PubMed
Jing-Ran ZhangHui-Xiao FuXing-Yu LiHong-Fei ZhangTian-Min DouBai-Yan LiDi Wu - - Source: PubMed
- - Source: PubMed
Muscogiuri GiovannaColao Annamaria - Appropriate riverbed substrates, as nature-based engineering components, are critical for enhancing nutrient mitigation and ecosystem sustainability in urban rivers. However, their role in regulating hydrologically mediated nutrient fluxes and biofilm functions remains unclear, limiting substrate-optimized design for urban river restoration. This study integrated machine learning modeling, scenario simulations, and metagenomic analysis to quantify substrate-driven interfacial nutrient removal efficiencies and uncover microbial regulation mechanisms. A back propagation neural network could accurately predict interfacial ammonium and total organic carbon removal efficiencies (RMSE: 0.59-6.92 mg/(L·h·m), R: 0.66-0.97), with retention time, temperature, dissolved oxygen, and nutrient load identified as key predictors. Building upon the model-predicted scenario results, analysis of similarity tests confirmed that substrate type significantly influenced interfacial nutrient removal efficiencies (R > 0.05, P < 0.001). Scoring metrics demonstrated fine sand (1295) and gravel (1281) gained higher total scores than other substrates (1110-1182), indicating higher interfacial nutrient removal capacities. Metagenomic analyses revealed that these differences were driven by divergence in microbial functional potential. Substrate type selectively enriched functional genes related to nitrogen and carbon cycling (R > 0.18, P < 0.05), with gravel microcosms showing significantly higher gene abundance (8.00 × 10-2.08 × 10), despite similar community compositions governed by stochastic assembly (R² > 0.84). Topological analysis revealed that redundancy of functional gene network significantly influenced ammonium removal efficiency (P < 0.05), with fine sand and gravel enhancing ammonium removal, while lower clustering coefficients in artificial filler and gravel microcosms significantly promoted total organic carbon removal. This study suggested that fine sand and gravel should be more effective riverbed substrates for enhancing interfacial nutrient removal in urban river restoration. - Source: PubMed
Publication date: 2026/01/20
Xin YuLiu LinChen Shao-HuaZhao Quan-BaoZheng Yu-Ming - Dams affect the hydrological model in the watershed and regulate the quality and quantity of dissolved organic matter (DOM) within. While numerous studies have documented DOM dynamics under large dams, the spatiotemporal variations and controlling mechanisms of DOM within reservoir-river continuums formed by cascade low-head dams in small watersheds remain poorly understood. To address this knowledge gap, we investigated the spatiotemporal variations of DOM chemistry along the reservoir-river continuums impacted by cascade low-head dams, taking the Xixi River in Southwest China as a representative small watershed. The findings revealed the presence of a notably higher concentration of terrestrial DOM in the river area, whereas a reduced content of autochthonous and anthropogenic DOM in comparison to the reservoir. From upstream to downstream, the differences in the sources and composition of DOM between the reservoir and river area gradually diminished. Furthermore, the hydrological period significantly impacted the molecular characteristics of DOM, with terrestrial DOM in water samples collected in flood season 9.5 % higher than those collected in non-flood season, exhibiting greater humification and aromaticity. Significant differences in the molecular compositions of sediment DOM were detected compared to those in surface water. The average relative abundance of CHOS formulas in sediments (32.70 %) was significantly higher than that in surface water (7.82 %). This study reveals the spatiotemporal variations of water and sediment DOM within reservoir-river continuums formed by typical cascade low-head dams, providing scientific support for a deeper understanding of the biogeochemical cycling of DOM in small watersheds. - Source: PubMed
Publication date: 2026/01/13
Zhang FangjieDong LeiWang LongfeiWu WeijieLi YiLin Li