Human Apolipoprotein C4 ELISA , APOC4
- Known as:
- Human Apolipoprotein C4 Enzyme-linked immunosorbent assay test , APOC4
- Catalog number:
- E01A0517
- Product Quantity:
- 96 Tests/kit
- Category:
- -
- Supplier:
- BGene
- Gene target:
- Human Apolipoprotein C4 ELISA APOC4
Related genes to: Human Apolipoprotein C4 ELISA , APOC4
- Gene:
- APOC4 NIH gene
- Name:
- apolipoprotein C4
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 19q13.32
- Locus Type:
- gene with protein product
- Date approved:
- 1995-05-08
- Date modifiied:
- 2016-10-05
Related products to: Human Apolipoprotein C4 ELISA , APOC4
Related articles to: Human Apolipoprotein C4 ELISA , APOC4
- Ultracentrifugation (UC) has long been considered the "gold standard" for extracellular vesicle (EV) isolation. However, due to its drawbacks such as high cost of an ultracentrifuge and rotors, time-consuming and labor-intensive protocol, low yield considering initial biofluid volume and low throughput, development of new EV isolation approaches is still ongoing. Here we compare three methods for isolating the most studied EV subtype, small extracellular vesicles (sEVs), from human plasma: ultracentrifugation (UC), express asymmetric depth filtration (ExADFi), and anti-CD9 immunoaffinity capture (AS-CD9) with focus on their Raman and proteomic profiles. For all three methods, purity and quality of the sEV isolation were assessed based on the level of contamination of the sEV fraction with major plasma proteins such as albumin and apolipoproteins (APOA1, APOH, APOA4, APOC2, APOC1, and APOC4). UC showed the highest ratio of protein to nanoparticle concentration. AS-CD9 and ExADFi provided comparable to UC purity and levels of non-vesicular contaminants with AS-CD9 requiring minimal time and labor. ExADFi showed characteristics including purity of the sEV samples, yield, and isolation time that is between the UC and AS-CD9 methods. Raman spectroscopy provided more details about characteristics of the isolated sEVs and confirmed differences observed in the proteomic profiles. The findings demonstrate that the AS-CD9 and ExADFi methods could be appropriate substitutes of the classical UC-based isolation method and be chosen depending on the final requirements and use of the purified sEVs such as further functional and biomarker studies. - Source: PubMed
Chernyshev Vasiliy SStarodubtseva Natalia LRimskaya Elena NBugrova Anna EKononikhin Alexey SSilachev Denis NTokareva Alisa OEvtushenko Ekaterina AYakovlev Alexander AYurin Alexander MKepsha Maria AMezhevitinova Elena ANikolaev Eugene NFrankevich Vladimir ENazarova Niso MPrilepskaya Vera NSukhikh Gennadiy T - Mitochondrial open reading frame of the 12S rRNA type-c (MOTS-c), a 16-amino acid mitochondrial-derived peptide, regulates cellular metabolism through AMPK and mTOR signaling and exerts protective effects across multiple endocrine tissues. However, its role in adrenal physiology remains unexplored. We hypothesized that MOTS-c establishes "steroidogenic readiness" by priming metabolic pathways rather than directly activating hormone synthesis. - Source: PubMed
Publication date: 2026/03/11
Blatkiewicz MalgorzataKaminski KacperSobalska-Kwapis MartaSzyszka MartaOlechnowicz AnnaJopek KarolRucinski Marcin - Apolipoproteins (APOs) are essentially structural and functional components of lipoproteins, which are composed of 22 members and their effects on certain types of cancer have been studied. However, their roles in endometrial cancer (EC), which is one of the most common malignant tumors in gynecology were unclear and rarely investigated. - Source: PubMed
Publication date: 2026/02/16
Zhou LinaWang RenchengDu GuiqiangWu YupengLi HuiHe YinyanYe ZhikangXiang Jiangdong - Aim To develop of a protein panel to identify patients with progressive chronic heart failure with reduced left ventricular ejection fraction (HFrEF) based on proteomic analysis of blood fractions.Material and methods The study included 81 patients with HFrEF associated with postinfarction myocardial scarring or dilated cardiomyopathy. Patients were enrolled both in a stable period (n=48) and with signs of decompensated heart failure (n=33). Proteomic chromatography-mass-spectrometric analysis of blood plasma and extracellular vesicles (EVs) was performed in all patients. The analysis identified proteins differentially represented between groups in each blood compartment. The effectiveness of using individual proteins and integrated protein panels based on these proteins to identify patients with progressive HFrEF was assessed.Results Twelve plasma proteins and one BB fraction protein were detected, the concentration of which significantly differed between the groups with and without decompensated HFrEF. Individual protein concentrations demonstrated approximately the same quality indicators in identifying patients with decompensated HF as the classical HF marker, the N-terminal fragment of pro-brain natriuretic peptide (NT-proBNP). Accordingly, we developed two integrated panels including the concentrations of NT-proBNP and several plasma or BB fraction proteins. The plasma panel included five proteins (APOE, LPA, C7, GPLD1, and TF), and the BB panel included two proteins (APOC4, FGB); the proteins are designated in accordance with their genes in the UniProt database. The plasma protein panel demonstrated the highest efficiency in identifying patients with decompensated HF, with a sensitivity of 78.8% and a specificity of 87.5%.Conclusion The study resulted in the development of a plasma protein panel that can identify patients with progressive chronic HFrEF. This panel is more effective than previously described or currently used biomarkers. However, further research is needed to implement this protein panel into clinical practice. - Source: PubMed
Publication date: 2026/01/14
Anisimova A SMolodtsov I AKononikhin A SKordzaya E LBugrova A EMaryukhnich E VIndeykina M ITvorogova A VNikolaev E NVasilieva E YuKomissarov A A - Sleep disorders are potential risk factors for Alzheimer's disease (AD), but their genetic association and shared gene mechanisms remain unclear. This study investigate the genetic correlation between AD and four sleep disorders phenotypes, and examined AD-sleep shared pathways in major depressive disorder (MDD) to assess a broader neuropsychiatric implication. - Source: PubMed
Publication date: 2025/11/30
Gao XiaoyaJiang PeixinLiu LeiyuanHuang YanlingTan HenghuiGuo WanyunXie HaitingXing PengpengWang QingPeng SiboHua JunjieWang YuankaiLan YufeiJiang LingxiaoLin HualiangGuo Hongbo