ARL4A Antibody
- Known as:
- ARL4A Antibody
- Catalog number:
- AF1102a
- Product Quantity:
- 0.1mg
- Category:
- -
- Supplier:
- Abgen
- Gene target:
- ARL4A Antibody
Related genes to: ARL4A Antibody
- Gene:
- ARL4A NIH gene
- Name:
- ADP ribosylation factor like GTPase 4A
- Previous symbol:
- ARL4
- Synonyms:
- -
- Chromosome:
- 7p21.3
- Locus Type:
- gene with protein product
- Date approved:
- 1999-06-02
- Date modifiied:
- 2015-11-19
Related products to: ARL4A Antibody
Related articles to: ARL4A Antibody
- The unique nature of neural crest cells has encouraged the characterization of the dorsal neural tube as distinct from the rest of the neural tube. Yet the dorsal and ventral neural tube have several similarities during neurulation, both acting as hinge points and opposing signaling centers. Furthermore, we find that the neural crest marker gene FOXD3, is expressed in both the dorsal and ventral neural tube, indicating shared roles unrelated to neural crest specification. This project aimed to identify genes coexpressed in the dorsal and ventral neural tube and characterize ventral FOXD3 function. - Source: PubMed
Publication date: 2026/07/06
Rees JenaidTaroc Ed ZandroBarbosa-Sabanero KarlaKirkland JamiyaMehedincu StefaniaSchiffmacher AndrewKerosuo Laura - ADP-ribosylation factor-like 4 A (ARL4A), a small GTPase involved in cytoskeletal dynamics and signal transduction, exhibits dysregulated expression in various cancers, yet its comprehensive role across tumor types, particularly in thyroid carcinoma (THCA), remains underexplored. This study aimed to perform a systematic pan-cancer analysis of ARL4A to elucidate its expression patterns, prognostic implications, genetic and epigenetic alterations, immune correlations, drug sensitivity, and functional contributions to THCA progression. - Source: PubMed
Publication date: 2026/05/12
Men YingliZhao JizhiFeng RuitingWang ZhaoruiYe BeibeiZheng YangYang ZhenzhenChen XuZhang LuWang NanChen YongfengShao YiWang HuiSong YinsenDing Cong - Tumor-associated macrophages (TAMs) comprise heterogeneous subtypes with context-dependent functions in tumor immunity. Although macrophage senescence influences diverse diseases, its role in neuroblastoma (NB) progression remains undefined. - Source: PubMed
Publication date: 2026/01/06
Qiu SitongHu YouyangWang YimingXian HuaYin Qiyou - Thrombus formation is a severe complication in orthopedic surgery, significantly increasing mortality in patients with fractures. Therefore, identifying feature genes to determine thrombus presence in fracture surgeries is critical. - Source: PubMed
Publication date: 2025/05/16
Shi GuanghuaShi XiaocuiZhang MengCheng RuiHu MengqingZhao YuLi ShimeiLi XiuxiuMa HaiyunLi Pengcui - During a sepsis infection, the lung is extremely susceptible to damage. A condition known as acute respiratory distress syndrome (ARDS) may develop in extreme circumstances. The primary objective of this research is to identify important genes that are related with both sepsis and lung injury. These genes have the potential to act as novel biomarkers in the investigation of sepsis-induced lung injury prevention strategies. It was possible to download from GEO data both the sepsis-related dataset (GSE64457) and the lung injury-related dataset (GSE40839). In the GSE64457 dataset, using the "limma" package in R revealed 429 differentially expressed genes (DEGs) with logFC values more than or equal to -1 and p values <0.05. There were 266 genes that were up-regulated and 163 genes that were down-regulated. Through the use of Gene Ontology (GO), it was discovered that the majority of the DEGs were associated with the inflammatory response (BP terms), a particular granule lumen (CC terms), and protein binding (MF terms). By doing a pathway enrichment analysis using the Kyoto Encyclopedia of Genes and Genomes (KEGG), researchers were able to identify DEGs that were mostly associated with the NOD-like receptor signalling pathway, the TNF signalling pathway, and Epstein-Barr virus infection. Within the GSE40839 dataset, Weighted Gene Co-Expression Network Analysis (WGCNA) yielded a total of 7 modules, from which it was possible to screen out 2 critical modules and 693 key genes. The important genes and DEGs were both subjected to a Venn analysis. Finally, 14 genes that overlapped (ARL4A, LAIR1, MTHFD2, TSPAN13, DUSP6, PECR, CBS, TES, ASNS, SYNE1, FGF13, LCN2, KLF10, BCAT1) were closely associated to the incidence and development of sepsis-induced lung injury. This indicates that these genes are the essential genes to avoid the occurrence of sepsis-induced lung injury. This study provides novel strategies for preventing lung harm brought on by sepsis. - Source: PubMed
Publication date: 2024/08/27
Song ChaoWang LingZhang FeiLv ChuanxinMeng MinWang WeiZhou Wenxing