ACYP1 (isoform a) Antibody
- Known as:
- ACYP1 (isoform a) Antibody
- Catalog number:
- AF1024a
- Product Quantity:
- 0.1mg
- Category:
- -
- Supplier:
- Abgen
- Gene target:
- ACYP1 (isoform ) Antibody
Related genes to: ACYP1 (isoform a) Antibody
- Gene:
- ACYP1 NIH gene
- Name:
- acylphosphatase 1
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 14q24.3
- Locus Type:
- gene with protein product
- Date approved:
- 1998-04-21
- Date modifiied:
- 2016-02-26
Related products to: ACYP1 (isoform a) Antibody
Related articles to: ACYP1 (isoform a) Antibody
- The activities and products of carbohydrate metabolism are involved in key processes of cancer. However, its relationship with hepatocellular carcinoma (HCC) is unclear. - Source: PubMed
Publication date: 2024/08/03
Huang Hong-XiangZhong Pei-YuanLi PingPeng Su-JuanDing Xin-JingCai Xiang-LianChen Jin-HongZhu XieLu Zhi-HuiTao Xing-YuLiu Yang-YangChen Li - The adverse effects of microgravity exposure on mammalian physiology during spaceflight necessitate a deep understanding of the underlying mechanisms to develop effective countermeasures. One such concern is muscle atrophy, which is partly attributed to the dysregulation of calcium levels due to abnormalities in SERCA pump functioning. To identify potential biomarkers for this condition, multi-omics data and physiological data available on the NASA Open Science Data Repository (osdr.nasa.gov) were used, and machine learning methods were employed. Specifically, we used multi-omics (transcriptomic, proteomic, and DNA methylation) data and calcium reuptake data collected from C57BL/6 J mouse soleus and tibialis anterior tissues during several 30+ day-long missions on the international space station. The QLattice symbolic regression algorithm was introduced to generate highly explainable models that predict either experimental conditions or calcium reuptake levels based on multi-omics features. The list of candidate models established by QLattice was used to identify key features contributing to the predictive capability of these models, with Acyp1 and Rps7 proteins found to be the most predictive biomarkers related to the resilience of the tibialis anterior muscle in space. These findings could serve as targets for future interventions aiming to reduce the extent of muscle atrophy during space travel. - Source: PubMed
Publication date: 2023/12/13
Li KevinDesai RiyaScott Ryan TSteele Joel RickyMachado MeeraDemharter SamuelHoarfrost AdrienneBraun Jessica LFajardo Val ASanders Lauren MCostes Sylvain V - Myeloid-derived suppressor cells (MDSC) are a heterogeneous cell population of incompletely differentiated immune cells. They are known to suppress T cell activity and are implicated in multiple chronic diseases, which make them an attractive cell population for drug discovery. Here, we characterized the baseline proteomes and phospho-proteomes of mouse MDSC differentiated from a progenitor cell line to a depth of 7000 proteins and phosphorylation sites. We also validated the cellular system for drug discovery by recapitulating and identifying known and novel molecular responses to the well-studied MDSC drugs entinostat and mocetinostat. We established a high-throughput drug screening platform using a MDSC/T cell coculture system and assessed the effects of ∼21,000 small molecule compounds on T cell proliferation and IFN-γ secretion to identify novel MDSC modulator. The most promising candidates were validated in a human MDSC system, and subsequent proteomic experiments showed significant upregulation of several proteins associated with the reduction of reactive oxygen species (ROS). Proteome-wide solvent-induced protein stability assays identified Acyp1 and Cd74 as potential targets, and the ROS-reducing drug phenotype was validated by measuring ROS levels in cells in response to compound, suggesting a potential mode of action. We anticipate that the data and chemical tools developed in this study will be valuable for further research on MDSC and related drug discovery. - Source: PubMed
Publication date: 2023/08/14
Krumm JohannesPetrova ElissavetaLechner SeverinMergner JuliaBoehm Hans-HenningPrestipino AlessandroSteinbrunn DominikDeline Marshall LKoetzner LisaSchindler ChristinaHelming LauraFromme TobiasKlingenspor MartinHahne HannesPieck Jan-CarstenKuster Bernhard - Acylphosphatase 1 (ACYP1), a protein located in the mammalian cell cytoplasm, has been shown to be associated with tumor initiation and progression by functioning as a metabolism-related gene. Here we explored the potential mechanisms by which ACYP1 regulates the development of HCC and participates in the resistance to lenvatinib. ACYP1 can promote the proliferation, invasion, and migration capacities of HCC cells in vitro and in vivo. RNA sequencing reveals that ACYP1 markedly enhances the expression of genes related to aerobic glycolysis, and LDHA is identified as the downstream gene of ACYP1. Overexpression of ACYP1 upregulates LDHA levels, which then increases the malignancy potential of HCC cells. GSEA data analysis reveals the enrichment of differentially expressed genes in the MYC pathway, indicating a positive correlation between MYC and ACYP1 levels. Mechanistically, ACYP1 exerts its tumor-promoting roles by regulating the Warburg effect through activating the MYC/LDHA axis. Mass spectrometry analysis and Co-IP assays confirm that ACYP1 can bind to HSP90. The regulation of c-Myc protein expression and stability by ACYP1 is HSP90 dependent. Importantly, lenvatinib resistance is associated with ACYP1, and targeting ACYP1 remarkably decreases lenvatinib resistance and inhibits progression of HCC tumors with high ACYP1 expression when combined with lenvatinib in vitro and in vivo. These results illustrate that ACYP1 has a direct regulatory role in glycolysis and drives lenvatinib resistance and HCC progression via the ACYP1/HSP90/MYC/LDHA axis. Targeting ACYP1 could synergize with lenvatinib to treat HCC more effectively. - Source: PubMed
Publication date: 2023/05/16
Wang ShuaiZhou LingyiJi NingSun ChengtaoSun LinlinSun JiaoDu YaweiZhang NingningLi YueguoLiu WeishuaiLu Wei - Identifying genes significantly related to diseases is a focus in the study of disease mechanisms. In this paper, from the perspective of integrated analysis and dynamic control, a method for identifying genes significantly related to diseases based on logic networks constructed by the LAPP method, referred to as NCCM, is proposed and applied to the study of the mechanism of acute myocardial infarction (AMI). It is found that 82.35% of 17 differential control capability genes (DCCGs) identified by NCCM are significantly correlated with AMI/MI in the literature and DISEASES database. The enrichment analysis of DCCGs shows that AMI is closely related to the positive regulation of vascular-associated smooth muscle cell proliferation and regulation of cytokine production involved in the immune response, in which , , , , , and play a crucial role. In addition, although the expression levels of and are not significantly different between the control group and the AMI group, NCCM shows that they are significantly associated with AMI. Although this result still needs further verification, it shows that the method can not only identify genes with large differences in expression but also identify genes that are associated with diseases but with small changes in expression. - Source: PubMed
Publication date: 2022/07/13
Wang YanhuiXian Huimin