ACTR10
- Known as:
- ACTR10
- Catalog number:
- 001109A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- ACTR10
Related genes to: ACTR10
- Gene:
- ACTR10 NIH gene
- Name:
- actin related protein 10
- Previous symbol:
- -
- Synonyms:
- HARP11, ACTR11, Arp11, Arp10
- Chromosome:
- 14q23.1
- Locus Type:
- gene with protein product
- Date approved:
- 2003-01-24
- Date modifiied:
- 2019-01-10
Related products to: ACTR10
Related articles to: ACTR10
- We present a novel, versatile genome editing method termed ONE-STEP tagging, which combines CRISPR-Cas9-mediated targeting with Bxb1 integrase-based site-specific integration for efficient, precise, and scalable protein tagging. Applied in human-induced pluripotent stem cells (hiPSCs), cancer cells and primary T cells, this system enables rapid generation of endogenously tagged proteins. By enhancing the nuclear localization signal of the catalytically superior eeBxb1 integrase and co-delivering a DNA-PK inhibitor, we achieved up to ∼90% integration efficiency at the ACTR10 locus in hiPSCs. ONE-STEP tagging is robust across loci and cell types and supports large DNA cargo integration, with efficiencies reaching 16.6% for a 14.4 kb construct. The method also enables multiplexed tagging of multiple proteins within the same cell and simultaneous CRISPR-based editing at secondary loci, such as gene knockouts or homology-directed repair. Importantly, we demonstrate successful application in primary T cells by targeting the T cell receptor locus while simultaneously knocking out B2M, a key step towards generating immune-evasive, off-the-shelf chimeric antigen receptor T cells. Additionally, we introduce a dual-cassette version of the method compatible with universal donor plasmids, allowing use of entirely off-the-shelf reagents. Together, these advances establish ONE-STEP tagging as a powerful tool for both basic and therapeutic genome engineering. - Source: PubMed
Migliori ValentinaBruntraeger Michaela BGyulev Ivan SLichou FlorenceBurgold ThomasGitterman Daniel PIwama ShoTrinh Andrew LWasher Sam JJones Carla PTrynka GosiaBassett Andrew R - Alzheimer's disease (AD) is a neurodegenerative disorder with complex pathogenesis. Vesicle trafficking abnormalities are closely associated with AD, making the identification of related biomarkers crucial. Chip data of AD were downloaded from the GEO database as training and test sets. Differentially expressed vesicle trafficking-related genes were analyzed, followed by construction of protein-protein interaction (PPI) networks, machine learning for important biomarkers identification, and various analyses including ROC curve analysis, and construction of regulatory networks. A total of 149 differentially expressed vesicle trafficking-related genes were identified. Through multiple analyses, 5 key genes (KIF22, ACTR10, TUBB2A, TUBA3C, and DCTN1) were obtained. Additionally, potential miRNA regulatory networks and candidate drugs were predicted, and AD subtypes were characterized.This study successfully identified novel biomarkers related to vesicle trafficking in AD, and these findings provide new insights into the role of intracellular transport dysfunction in AD pathogenesis. - Source: PubMed
Publication date: 2025/05/08
Hu YirongLiu YiZhu QiuyanChen YongZeng Ying - In the present day, hepatocellular carcinoma (HCC) remains a formidable threat to human health. Actin-related protein 10 () is related to tyrosine kinase inhibitor (TKI) resistance. A comprehensive analysis of in HCC will further our understanding of the molecular mechanisms underlying this resistance phenomenon, shedding light on potential therapeutic strategies for combating TKI resistance in HCC. - Source: PubMed
Publication date: 2024/12/11
Luo JieQin KaiHe Rong QuanLi Jian DiHuang Zhi GuangYin Bin TongWu TongChen Yu ZhenQin Di YuanLuo Jia YuanWu MeiChi Bang TengChen GangLi Jian JunHuang Yu Bin - Egg yolk texture is an important indicator for evaluating egg yolk quality. Genetic markers associated with economic traits predict genomes and facilitate mining for potential genes. Numerous genome-wide association studies have been conducted on egg traits. However, studies on the genetic basis of thermogelled yolk texture are still lacking. The aim of the present study was to find significant single nucleotide polymorphism (SNP) sites and candidate genes related to thermogelled yolk texture in Hetian Dahei chicken (HTHD) flocks that can be used as genetic markers. Five traits, including hardness, cohesiveness, gumminess, chewiness, and resilience, had low heritability (0.044-0.078). Ten genes, including U6, FSHR, PKDCC, SLC7A11, TIMM9, ARID4A, PSMA3, ACTR10, EML4, and SLC35F4 may control the hardness of the thermogelled egg yolks. In addition, 12 SNPs associated with cohesiveness were identified. RELCH located on GGA2 participates in cholesterol transport. The candidate gene LRRK2, which is associated with gumminess, influences the concentrations of very low-density lipoprotein in blood. Eight SNPs associated with resilience were identified, mainly on GGA3 and GCA28. In total, 208 SNPs associated with chewiness were identified, and 159 candidate genes, which were mainly involved in proteasome-mediated ubiquitin-dependent protein catabolic process, negative regulation of transport, lipid droplet organization, and vehicle docking involved in exocytosis, were found near these regions. Thermogel egg yolk texture is a complex phenotype controlled by multiple genes. Based on heritability assays and GWAS results, there is a genetic basis for the texture of thermogelled egg yolks. We identified a series of SNPs associated with yolk texture and candidate genes. Our result provides a theoretical basis for breeding high-quality egg yolk using molecular marker-assisted selection and could facilitate the development of novel traits. - Source: PubMed
Publication date: 2022/12/09
Zhang RuiqiLi XinghuaMa YingLiu YuchenZhang YalanCheng XueNing Zhonghua - Dysregulation of cell morphology and cell-cell interaction results in cancer cell growth, migration, invasion, and metastasis. Besides, a balance between the extracellular matrix (ECM) and matrix metalloprotease (MMP) is required for cancer cell morphology and angiogenesis. Here, we determined gene signatures associated with the morphology and microenvironment of primary central nervous system lymphoma (PCNSL) to enable prognosis prediction. Next-generation sequencing (NGS) on 31 PCNSL samples revealed gene signatures as follows: ACTA2, ACTR10, CAPG, CORO1C, KRT17, and PALLD in cytoskeleton, CDH5, CLSTN1, ITGA10, ITGAX, ITGB7, ITGA8, FAT4, ITGAE, CDH10, ITGAM, ITGB6, and CDH18 in adhesion, COL8A2, FBN1, LAMB3, and LAMA2 in ECM, ADAM22, ADAM28, MMP11, and MMP24 in MMP. Prognosis prediction formulas with the gene expression values and the Cox regression model clearly divided survival curves of the subgroups in each status. Furthermore, collagen genes contributed to gene network formation in glasso, suggesting that the ECM balance controls the PCNSL microenvironment. Finally, the comprehensive balance of morphology and microenvironment enabled prognosis prediction by a combinatorial expression of 8 representative genes, including KRT17, CDH10, CDH18, COL8A2, ADAM22, ADAM28, MMP11, and MMP24. Besides, these genes could also diagnose PCNSL cell types with MTX resistances in vitro. These results would not only facilitate the understanding of biology of PCNSL but also consider targeting pathways for anti-cancer treatment in personalized precision medicine in PCNSL. - Source: PubMed
Publication date: 2021/06/24
Takashima YasuoKawaguchi AtsushiFukai JunyaIwadate YasuoKajiwara KojiHondoh HiroakiYamanaka Ryuya