APOA2 ELISA kit
- Known as:
- APOA2 Enzyme-linked immunosorbent assay test reagent
- Catalog number:
- DL-APOA2-Ra
- Product Quantity:
- 96T
- Category:
- Elisa Kits
- Supplier:
- WDSTD
- Gene target:
- APOA2 ELISA kit
Related genes to: APOA2 ELISA kit
- Gene:
- APOA2 NIH gene
- Name:
- apolipoprotein A2
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 1q23.3
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-22
- Date modifiied:
- 2016-04-26
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- Apolipoprotein A2 is the second most abundant protein in high-density lipoproteins and plays an important role in lipid and glucose metabolism. APOA2 has been identified as a candidate gene influencing fat-related traits in pigs, and genetic variation has been associated with its hepatic expression. The aim of this study was to identify regulatory polymorphisms in the APOA2 promoter and assess their impact on gene expression. A total of 441 pigs from three backcross populations were analyzed. Four polymorphisms were identified in the APOA2 promoter, and a genome-wide association study identified rs339777757 as the most significant variant associated with APOA2 expression in liver. This variant is located at a predicted binding site of RORα, a nuclear receptor regulating apolipoprotein expression. RORα cotransfection with APOA2 promoter-driven luciferase constructs in HepG2 cells showed higher promoter activity of the rs339777757 C allele compared to the T allele. Our findings demonstrate that rs339777757 is a functional regulatory variant modulating APOA2 expression in the liver and support a functional role for RORα in this transcriptional regulatory mechanism. Since APOA2 plays a key role in lipid metabolism, this variant is likely to contribute to phenotypic variability in fat composition and meat quality traits, representing a potential target for improving pork quality. Additionally, these findings support the relevance of pigs as a model for studying metabolic regulation with potential implications for human health. - Source: PubMed
Publication date: 2026/04/30
Liu JunhuiHernández-Banqué CarlesGonzález-Rodríguez OlgaCastelló AnnaCriado-Mesas LourdesZhang MiaoChofre AlbaStaels BartFolch Josep MBallester Maria - Understanding region-specific proteoform profiles in the brain is crucial for deciphering neural function and identifying therapeutic targets. Zebrafish (Danio rerio) is a valuable vertebrate model for neuroscience research due to its substantial conservation of brain structure and function with that of mammals. We present a label-free quantitative top-down proteomics (TDP) analysis of distinct zebrafish brain regions using microdissection and capillary zone electrophoresis-tandem mass spectrometry (CZE-MS/MS). We analyzed four anatomically distinct regions─telencephalon (Tele), combined habenula-optic tectum (Tec/Hab), cerebellum (Cer), and medulla (Med)─identifying 1,050 proteoforms from 336 proteins. Only 89 proteoforms (5.1%) were shared across all regions, demonstrating substantial proteoform heterogeneity. Quantitative comparisons of proteoform intensity between any two brain regions revealed drastic proteoform abundance differences. Interestingly, proteoforms of the same genes (i.e., , and ) showed opposite expression patterns between brain regions, indicating potential proteoform-specific functions. Nearly 153 neuropeptides were identified using a recently published neuropeptide prediction algorithm with a prediction probability of over 75%, and some neuropeptide proteoforms showed brain-region-specific expression (i.e., , and ). Gene Ontology analysis of the differentially expressed proteoforms between regions revealed region-specific biological process enrichment, i.e., innate immune response and chromatin organization in Cer, actin organization in Med, microtubule-based processes in Tele, and axonogenesis in Tec/Hab. Comparing quantitative TDP and bottom-up proteomics data from the four zebrafish brain regions revealed substantial discrepancies between proteoform-specific and protein-group-specific data sets, highlighting the value of spatially resolved TDP of brains for better understanding of protein function in a proteoform-specific manner. - Source: PubMed
Publication date: 2026/04/17
Falamarzi Askarani MehrdadPoulos WilliamRahimzadeh Dashtaki MaryamFang FeiCibelli Jose BSun Liangliang - Pancreatic cancer is frequently diagnosed at advanced stages, highlighting the need for biomarkers that are capable of detecting early-stage disease in asymptomatic individuals. Recently, apolipoprotein A2 isoforms (ApoA2-ATQ/AT) have been reported as a new blood biomarker for pancreatic cancer. We recently developed diagnostic models based on 100 highly expressed serum microRNAs (miRNAs) combined with CA19-9; these models achieved high accuracy in terms of distinguishing individuals with pancreatic cancer from healthy individuals. This study aimed to compare the diagnostic performance of these miRNA-based models with that of the ApoA2-ATQ/AT biomarker. - Source: PubMed
Publication date: 2026/04/07
Kashima HirotakaKawai MunenoriIimori KeiNagao MunemasaMorikawa Takamitsu JOtomo RyoHirai MitsuharuMinaga KosukeAsada MasanoriUmemura AtsushiUenoyama YoshitoMorita ToshihiroYazumi ShujiroMinami RyukiMarui SaikoYamauchi YukiNakai YoshitakaTakada YutakaShio SeijiYoshioka TakutoKanda NaokiMasuda TomonoriNagai KazuyukiHatano EtsuroFukuda AkihisaSeno Hiroshi - Obesity and prediabetes are overlapping global epidemics. This systematic review synthesises evidence on gene-diet interactions in adults with obesity, prediabetes, or related cardiometabolic risks. It evaluates Mediterranean and DASH dietary patterns, macronutrient quality, and energy restriction across both single-variant and polygenic score approaches. - Source: PubMed
Publication date: 2026/03/02
Bossowska MagdalenaBossowski FilipAdamska-Patruno EdytaMaliszewska KatarzynaKrętowski Adam - We investigated the clinical utility of the apolipoprotein A2 isoform index (apoA2-i index), a novel tumor marker for pancreatic cancer, in clinical practice, particularly for CA19-9-negative pancreatic cancer. - Source: PubMed
Publication date: 2026/02/26
Hoshino TakashiMizuide MasafumiSuzuki YuheiYasuoka HidetoshiNaganuma AtsushiHatanaka TakeshiKakizaki SatoruRyozawa Shomei