APOL3 Antibody
- Known as:
- APOL3 Antibody
- Catalog number:
- AF1085a
- Product Quantity:
- 0.1mg
- Category:
- -
- Supplier:
- Abgen
- Gene target:
- APOL3 Antibody
Related genes to: APOL3 Antibody
- Gene:
- APOL3 NIH gene
- Name:
- apolipoprotein L3
- Previous symbol:
- -
- Synonyms:
- CG12-1, APOLIII
- Chromosome:
- 22q12.3
- Locus Type:
- gene with protein product
- Date approved:
- 2001-03-21
- Date modifiied:
- 2016-10-05
Related products to: APOL3 Antibody
Related articles to: APOL3 Antibody
- - Source: PubMed
Publication date: 2026/04/24
Zhen ShijunZhu QingtaoWu XinzeXiong FangtaoMa WentaoWang ZishuoBo Wei - 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 - Lysosomal damage is an endogenous danger signal, but its significance for innate immunity and the specific signaling pathways it engages remain unclear. Here, we uncover an immune-inducible pathway that connects lysosomal damage to mitochondrial DNA (mtDNA) efflux and type I IFN production. We find that transient lysosomal damage elicits sub-lethal mitochondrial outer membrane permeabilization (MOMP) via BAK/BAX macropores; however, the inner mitochondrial membrane (IMM) maintains a barrier against wholesale mtDNA release. Priming with type II IFN (IFN-γ) induced the antibacterial factor APOL3, which, upon sensing lysosomal damage, targets mitochondria undergoing MOMP to selectively permeabilize the IMM, enhance mtDNA release, and potentiate downstream cGAS signaling. Biochemical and cellular reconstitution revealed that, analogous to its bactericidal detergent-like mechanism, APOL3 permeabilized the IMM by solubilizing cardiolipin. Our findings illustrate how cells enlist an antibacterial protein to expedite the breakdown of endosymbiosis and facilitate a heightened response to injury and infection. - Source: PubMed
Publication date: 2026/02/24
Ritacco Dominic AShahnawaz HamnaOduguwa AntoniaHawk JacobVizcaino BriannaFarber Donna LGaudet Ryan G - This study systematically predicts prognosis and key gene targets for immunotherapy in hepatocellular carcinoma (HCC) patients based on the joint screening of multiple datasets. Transcriptomic and clinical data from TCGA, GEO, and ICGC were integrated to construct a multi cohort analytical framework. Weighted Gene Co expression Network Analysis was applied to identify key functional modules within the GEO dataset. A comprehensive machine learning ensemble strategy-incorporating over one hundred combinations of classical feature selection and survival prediction algorithms-was employed to derive a robust multi gene prognostic signature. Model performance was evaluated through Kaplan-Meier survival analysis, time dependent ROC curves, and decision curve analysis across multiple independent validation cohorts. Additional analyses examined differential expression across clinical subgroups, immune cell infiltration patterns, immune checkpoint associations, and gene mutation profiles to further elucidate the biological and immunological relevance of the identified genes. Ten key genes were identified. TYMS was identified as a risk factor, while APOL3 and FBXO2 emerged as potential protective factors. Candidate genes were closely associated with features of the immune microenvironment, showing significant correlations with levels of immune cell infiltration and expression of immune checkpoint molecules such as PD-1 and CTLA-4. This study identified core HCC genes with prognostic and immunotherapeutic significance, providing novel targets and a theoretical basis for optimizing risk stratification and personalized treatment. - Source: PubMed
Publication date: 2026/02/03
Zhou LichenZhang WenjieLiu ZhuoranXie YamingJiang Kangyi - This study aimed to identify differentially expressed (DE) long non-coding RNAs (lncRNAs) in muscle tissue of Nellore cattle clustered by their fatty acid profile. Longissimus thoracis muscle samples from 48 young bulls were used to quantify fatty acid (FA) (myristic, palmitic, stearic, oleic, linoleic, conjugated linoleic (CLA), α-linolenic and the groups of saturated fatty acids (SFA), monounsaturated (MUFA), polyunsaturated (PUFA), ω3, ω6, PUFA/SFA ratio and ω6/ω3) and to generate RNA-Sequencing data for transcriptomic analyses. The K-means analysis was used to classify the 48 animals into three clusters based on their FA patterns. The C1 had significantly (p ≤ 0.05) higher PUFA, ω3, ω6, linoleic and α-linolenic content. The proportion of SFA, myristic, palmitic and stearic were significantly (p ≤ 0.05) higher in C3, while C2 presented an intermediate profile. DE analyses were performed on three different comparisons, C1 vs. C2, C1 vs. C3 and C2 vs. C3, and 22, 28 and 22 DE lncRNAs (fold change > | 2 |, p-value < 0.01 and false discovery rate (FDR) < 0.05) were found, respectively. For three comparisons, the novel DE transcripts, lncRNA_15786.3, lncRNA_13894.1 and lincRNA_17393.3 interacted with CCN1, BNIP3, and CNOT2 genes, respectively, and appeared to contribute to a PUFA-enriched fatty acid profile. These genes are responsible for regulating the lipogenic genes, lipid metabolism, immune response and lipid synthesis. Meanwhile, the intergenic DE lncRNAs (lincRNA_18394.1, lincRNA_2526.3 and lincRNA_17681.1) were associated with the genes DDX1, EIF4E and APOL3, and appeared to contribute to a SFA-enriched fatty acid profile. The gene DDX1 was enriched by GO terms related to RNA splicing (GO:0008380), while the other genes (e.g., EIF4E and APOL3) were enriched to GO terms related to lipid transport (GO:0006869), localization (GO:0010876) and to cellular response to lipid (GO:0071396). These findings offer new insights into the biological mechanisms underlying the gene regulation of FA composition in beef and may provide a valuable foundation for further investigations regarding the interactions between lncRNAs and mRNAs, as well as their potential impact on meat quality. - Source: PubMed
Publication date: 2025/07/18
Salatta Bruna MariaMuniz Maria Malane MagalhãesFonseca Larissa Fernanda SimielliMota Lucio Flavio Macedode Souza Teixeira CaioFrezarim Gabriela BonfáSerna-García MartaDos Santos Silva Danielly BeraldoPereira Angélica Simone CravoBaldi Fernandode Albuquerque Lucia Galvão