Ask about this productRelated genes to: SNX20 antibody
- Gene:
- SNX20 NIH gene
- Name:
- sorting nexin 20
- Previous symbol:
- -
- Synonyms:
- SLIC-1, SLIC1
- Chromosome:
- 16q12.1
- Locus Type:
- gene with protein product
- Date approved:
- 2008-03-11
- Date modifiied:
- 2014-11-18
Related products to: SNX20 antibody
Related articles to: SNX20 antibody
- is a cephalopod mollusk and an active marine predator that has been at the center of a number of studies focused on the understanding of neural and biological plasticity. Studies on the machinery involved in e.g., learning and memory, regeneration, and neuromodulation are required to shed light on the conserved and/or unique mechanisms that these animals have evolved. Analysis of gene expression is one of the most essential means to expand our understanding of biological machinery, and the selection of an appropriate set of reference genes is the prerequisite for the quantitative real-time polymerase chain reaction (qRT-PCR). Here we selected 77 candidate reference genes (RGs) from a pool of stable and relatively high-expressed transcripts identified from the full-length transcriptome of , and we evaluated their expression stabilities in different tissues through , , , Delta-CT method, and . Although various algorithms provided different assemblages of the most stable reference genes for the different kinds of tissues tested here, a comprehensive ranking revealed RGs specific to the nervous system ( and ) and and across all considered tissues. Furthermore, we validated RGs by assessing the expression profiles of nine target genes (, , , , , , , , and ) in different areas of the octopus nervous system (gastric ganglion, as control). Our study allowed us to identify the most extensive set of stable reference genes currently available for the nervous system and appendages of adult . - Source: PubMed
Publication date: 2023/05/17
Imperadore PamelaCagnin StefanoAllegretti VittoriaMillino CaterinaRaffini FrancescaFiorito GrazianoPonte Giovanna - We revealed that SNX20 was up-regulated in LGG, and its higher expression was associated with adverse clinical outcomes and poor clinical characteristics, including WHO grade, IDH mutation, 1p/19q codeletion, and primary therapy outcome. The results of the Cox regression analysis revealed that SNX20 was an independent factor for the prognosis of low-grade glioma. Meanwhile, we also established a nomogram based on SNX20 to predict the 1-, 3-, or 5-year survival in LGG patients. Furthermore, we found that DNA hypomethylation results in its overexpression in LGG. In addition, functional annotation confirmed that SNX20 was mainly involved in the immune response and inflammatory response related signaling pathways, including the T cell receptor signaling pathway, natural killer cell-mediated cytotoxicity, and the NF-kappa B signaling pathway. Finally, we determined that increased expression of SNX20 was correlated with infiltration levels of various immune cells and immune checkpoint in LGG. Importantly, we found that SNX20 was highly expressed in glioma cell lines. Depletion of SNX20 significantly inhibits glioma cell proliferation and migration abilities. This is the first study to identify SNX20 as a new potential prognostic biomarker and characterize the functional roles of SNX20 in the progression of LGG, and provides a novel potential diagnostic and therapeutic biomarker for LGG in the future. - Source: PubMed
Publication date: 2022/06/27
Chen XiJiang XiulinWang HepingWang ChunyanWang ChenyangPan ChenglongZhou FanTian JintaoNiu XiaoqunNie ZhiChen WeiHuang XiaobinPu JunLi Chen - Reticulosome family gene 1 (RTN1) is a reticulosome-encoding gene associated with the endoplasmic reticulum. RTN1 plays a key role in membrane trafficking or neuroendocrine secretion of neuroendocrine cells, while RTN1 serves as a potential diagnostic/therapeutic marker for neurological diseases and cancer. However, the expression of RTN1 and its effect on the immune microenvironment in patients with lung adenocarcinoma have not been reported. In this study, we aimed to investigate the expression of RTN1 in lung adenocarcinoma and its correlation with immune infiltration and survival in lung adenocarcinoma using public databases and bioinformatics network tools. - Source: PubMed
Zhu ShuaiZu LinglingXu Song - Sorting nexin-20 (SNX20) is a member of the sorting nexin family of proteins. It plays a crucial role in the regulation of innate immunity. However, the prognostic risk, potential mechanisms, immunotherapy, and other functions of in lung adenocarcinoma (LUAD) remain unclear. - Source: PubMed
Publication date: 2021/11/03
Wu Gu JieRen KuanHe MinXu Jian XunLi Zhen QingBo DingXue Qun - Immunotherapy is the most promising treatment for uveal melanoma patients with metastasis. Tumor microenvironment plays an essential role in tumor progression and greatly affects the efficacy of immunotherapy. This research constructed an immune-related subtyping system and discovered immune prognostic genes to further understand the immune mechanism in uveal melanoma. Immune-related genes were determined from literature. Gene expression profiles of uveal melanoma were clustered using consensus clustering based on immune-related genes. Subtypes were further divided by applying immune landscape, and weighted correlation network analysis was performed to construct immune gene modules. Univariate Cox regression analysis was conducted to generate a prognostic model. Enriched immune cells were determined after gene set enrichment analysis. Three major immune subtypes (IS1, IS2, and IS3) were identified, and IS2 could be further divided into IS2A and IS2B. The subtypes were closely associated with uveal melanoma prognosis. IS3 group had the most favorable prognosis and was sensitive to PD-1 inhibitor. Immune genes in IS1 group showed an overall higher expression than IS3 group. Six immune gene modules were identified, and the enrichment score of immune genes varied within immune subtypes. Four immune prognostic genes (, , , and ) were found to be closely related to survival. This novel immune subtyping system and immune landscape provide a new understanding of immunotherapy in uveal melanoma. The four prognostic genes can predict prognosis of uveal melanoma patients and contribute to new development of targeted drugs. - Source: PubMed
Publication date: 2021/11/07
Xia FeiYu ZhilongDeng AijunGao Guohong