NADH disodium salt, trihydrate, reduced
- Known as:
- NADH disodium salt, trihydrate, reduced
- Catalog number:
- NB0642
- Product Quantity:
- 1G
- Category:
- -
- Supplier:
- BioBasic
- Gene target:
- NADH disodium salt trihydrate reduced
Related genes to: NADH disodium salt, trihydrate, reduced
- Gene:
- NDUFA6 NIH gene
- Name:
- NADH:ubiquinone oxidoreductase subunit A6
- Previous symbol:
- -
- Synonyms:
- B14, LYRM6, CI-B14, NADHB14
- Chromosome:
- 22q13.2
- Locus Type:
- gene with protein product
- Date approved:
- 1996-08-30
- Date modifiied:
- 2015-11-20
Related products to: NADH disodium salt, trihydrate, reduced
((Cys31,Nva34)_Neuropeptide Y (27_36))2 Salt _ Binding (Disulfide_bond) Synonym SumFormula C116H186N36O28S2((Cys31,Nva34)_Neuropeptide Y (27_36))2 Salt _ Binding (Disulfide_bond) Synonym SumFormula C116H186N36O28S2(+)-(2S,5R)-1-Allyl-2,5-dimethylpiperazine, (+)-Camphoric Acid Salt C19H34N2O4 CAS: 186094-00-8(+)-(2S,5R)-1-Allyl-2,5-dimethylpiperazine, (+)-Camphoric Acid Salt CAS: 186094-00-8 Formula: C19H34N2O4(+)-Biotin 4-Amidobenzoic Acid, Sodium Salt C17H20N3NaO4S CAS: 102418-74-6(+)-Biotin 4-Amidobenzoic Acid, Sodium Salt CAS: 102418-74-6 Formula: C17H20N3NaO4S(+)-Tianeptine Monosodium Salt C21H24ClN2NaO4S CAS: 169293-32-7(+)-Tianeptine Monosodium Salt CAS: 169293-32-7 Formula: C21H24ClN2NaO4S(+)_3_Bromocamphor_8_sulfonic acid ammonium Salt(+)_Dipara tolouyl_d_tartaric acid salt of 4_(+)_Rutin trihydrate Quercetin_3_rutinoside ;(+)_Usnic acid sodium salt Usnic acid sodium salt(+__)_3_Methyl_2_oxovaleric acid Sodium salt(-)-Tianeptine Monosodium Salt C21H24ClN2NaO4S CAS:(-)-Tianeptine Monosodium Salt CAS: Formula: C21H24ClN2NaO4S Related articles to: NADH disodium salt, trihydrate, reduced
- Tetralogy of Fallot (TOF) is one of the most common cyanotic congenital heart diseases in infants and young children. Its molecular basis remains incompletely understood. This study aimed to identify mitochondrial energy metabolism-related candidate genes associated with pediatric TOF using public heart tissue transcriptomic datasets from the GEO database. - Source: PubMed
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Qin YuweiLang Tong - The etiology of drug-resistant epilepsy (DRE) is multifactorial. A small proportion of affected patients are diagnosed with genetics. Nowadays, specific gene panels and whole-exome sequencing (WES) have increased the opportunities for specific diagnosis and treatments with developments in genetics. In this cohort study, we determined the specific diagnostic value of gene panels and WES analysis in our cases with the diagnosis of DRE. - Source: PubMed
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Publication date: 2025/10/20
Shorter EmilyOssipova ElenaAlves Estela SantosIdborg HelenaVanluyten JoneKosek EvaZhengye LiuNordgren BirgittaFridén Ceciliavon Walden FerdinandMalm ChristerJakobsson Per-JohanOpava Christina HKorotkova MarinaLundberg Ingrid ELanner Johanna T - The Detumescence Analgesic Plaster (DAP) has been widely used in clinical practice for knee osteoarthritis (KOA) treatment, yet its active ingredients and molecular mechanisms remain incompletely understood. - Source: PubMed
Publication date: 2025/10/20
Li ChunxiaLi WeijieYin YueXiang XiaomeiFu LuWang PingZhang YanqiongXu Haiyu - Lower back pain caused by intervertebral disk degeneration (IDD) is a common problem among middle-aged and older adults. We aimed to identify novel diagnostic biomarkers of IDD and analyze the potential association between key genes and immune cell infiltration. We screened differentially expressed genes (DEGs) related to IDD and gene sets associated with mitochondrial energy metabolism using the Gene Expression Omnibus and GeneCards databases, respectively. Subsequently, we used multiple enrichment analysis methods to determine the biological functionalities of mitochondrial energy metabolism-related differentially expressed genes (MEMRDEGs). Key genes were selected using logistic regression analysis, a support vector machine algorithm, and least absolute shrinkage and selection operator regression analysis to construct an IDD diagnostic model. To obtain further insights, we examined the relationship between key genes and the presence of infiltrating immune cells. We screened 1304 DEGs that exhibited substantial differences in 20 pathways, including the Wnt signaling pathway, between the IDD and control groups. We identified 33 MEMRDEGs and selected 7 key genes (NDUFA6, YWHAZ, DLAT, BDNF, ECI2, ACO1, and ALDH7A1) to construct an IDD diagnostic model. Receiver operating characteristic curve analysis revealed that these genes exhibited high accuracy in assessing IDD risk, with BDNF and DLAT particularly distinguishing between the low- and high-risk IDD groups. Finally, using single-sample gene set enrichment analysis, we identified a relationship between IDD and immune infiltration, with most immune cells showing strong correlations. A significant positive relationship was found between ACO1 and the immune cells, known as immature dendritic cells. These results offer remarkable insights into the mechanisms underlying the occurrence and development of IDD, potentially identifying new opportunities for diagnosis and therapeutic intervention. - Source: PubMed
Lv JianlanWang Zhenwei