TOP2A (Phospho-Thr1343) Antibody
- Known as:
- TOP2A (Phospho-Thr1343) Antibody
- Catalog number:
- 11763
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Signalway
- Gene target:
- TOP2A (Phospho-Thr1343) Antibody
Ask about this productRelated genes to: TOP2A (Phospho-Thr1343) Antibody
- Gene:
- TOP2A NIH gene
- Name:
- DNA topoisomerase II alpha
- Previous symbol:
- TOP2
- Synonyms:
- -
- Chromosome:
- 17q21.2
- Locus Type:
- gene with protein product
- Date approved:
- 1989-03-23
- Date modifiied:
- 2017-08-04
Related products to: TOP2A (Phospho-Thr1343) Antibody
Related articles to: TOP2A (Phospho-Thr1343) Antibody
- Recent studies have highlighted the 1,3,4-oxadiazole scaffold as an important pharmacophore present in numerous biologically active molecules and therapeutic agents. In continuation of our interest in biologically active heterocyclic compounds, we report the synthesis of a series of novel 2,5-di(aryl/heteroaryl)-1,3,4-oxadiazoles using molecular iodine (1.0 equiv.) under basic conditions. The synthesized compounds were evaluated for anticancer and antifungal activities together with comprehensive computational investigations. Cytotoxicity studies against normal HEK-293 cells and the cancer cell lines DU145, HepG2, and B16-F10 demonstrated diverse activity profiles, with compounds 9b and 9g exhibiting the most favourable cytotoxic activity and selectivity, while compound 9r showed moderate activity. Antifungal evaluation of the nineteen synthesized derivatives against (MTCC-2101), (MTCC-1477), (MTCC-1899), and (MTCC-2087) revealed a limited, strain-dependent antifungal activity against selected fungal strains. ADME and drug-likeness analyses, using Erlotinib as a reference, indicated acceptable physicochemical and pharmacokinetic characteristics for the synthesized compounds. Comparative molecular docking studies against human DNA topoisomerase IIα (TOP2A), histone deacetylase 2 (HDAC2), and thymidine phosphorylase demonstrated favourable binding interactions, particularly for compounds 9b and 9g. Subsequent 200 ns molecular dynamics simulations, MM-GBSA binding free-energy calculations, and free energy landscape analyses consistently supported the stability of the corresponding protein-ligand complexes and identified TOP2A and HDAC2 as the most plausible molecular targets underlying the observed cytotoxic activity. Collectively, the integrated experimental and computational findings identify 9b and 9g as promising lead 1,3,4-oxadiazole derivatives for further development as anticancer agents. - Source: PubMed
Publication date: 2026/08/24
Ramesha ThongollaShenoy Thripthi NageshSubba Reddy Ummareddy VenkataEga Jagadeesh KumarGogula Sailam SriSwathi BairiganiBurgula SandeeptaReddy P MuralidharAbdul Salam Abdul Ajees - Human-induced pluripotent stem cells (iPSCs) hold considerable potential for generating motor neurons (MNs), offering new avenues for disease modeling and regenerative medicine. To elucidate the molecular mechanisms underlying iPSC differentiation into MNs, we conducted an integrated bioinformatics analysis of transcriptomic data from the mature Day 28 stage of a publicly available 28-day iPSC differentiation dataset Protein-protein interaction (PPI) networks were constructed using STRING and visualized in Cytoscape, while CytoHubba identified 15 hub genes, including BUB1, TOP2A, AURKB, CCNA2, and TP53, which are primarily associated with cell cycle regulation, mitotic progression, and genomic stability. Gene Ontology (GO) enrichment analysis identified biological functions related to chromosomal organization, cytoskeletal remodeling, metabolic activity, and translational regulation, whereas Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis highlighted cell cycle, DNA replication, cellular senescence, p53 signaling, and oocyte meiosis. CytoCluster analysis identified distinct subnetwork modules linked to neuronal differentiation. Promoter motif analysis via MEME uncovered conserved transcription factor binding sites, whereas miRNA-mRNA interaction prediction using the psRNATarget database identified 5316 potential regulatory pairs that may fine-tune gene expression during MN maturation. Codon usage analysis of 163 genes indicated moderate to high translational optimization, likely influenced by both mutational bias and selective codon preferences, with GC3 content strongly affecting codon choice. These patterns suggest potential mechanisms that may promote efficient protein synthesis during MN differentiation; however, experimental validation is required. This systems-level bioinformatics framework integrates multiple computational analyses to characterize transcriptional, post-transcriptional, and translational regulatory mechanisms associated with human MN differentiation. However, as these results are derived from bioinformatics analyses, they warrant further experimental validation and have the potential to advance our understanding of the molecular interactions and signaling pathways that regulate MN differentiation and maturation. These findings provide a computational framework for exploring regulatory mechanisms of motor neuron differentiation and prioritizing candidate genes for future experimental validation. - Source: PubMed
Publication date: 2026/08/12
Sadeghi MaryamHadifar ShimaGhorbani Abozar - Following the publication of the above article, a concerned author drew to the authors' attention that, regarding the data showing caspase-3 activity as measured by a colorimetric assay in Fig. 7 on p. 1015, given the use of the MCF‑7 cell line in this study, it was unexpected that the authors would have identified changes in caspase‑3 activity, since it has been demonstrated that MCF‑7 cells do not express caspase‑3 [for example, see the paper by Jänicke and colleagues entitled 'MCF‑7 breast carcinoma cells do not express caspase‑3'. Breast Cancer Res. Treat., vol. 117.1 (2009); p. 219‑221]. In addition, the reader noted that, in the Materials and methods section, it was stated that an Ac-DEVD-pNA-based assay had been used, which has been reported not to be specific for caspase-3, since this assay also reacts to caspase-7 ['Preparation of the caspase-3/-7 substrate Ac-DEVD-pNA via solution-phase peptide synthesis'. Nat Protoc., vol. 5(2) (2010); p. 294-302]. The reader also noted that it was surprising that none of the western blot experiments included in this study actually probed for the presence of the caspase-3 protein, given that the caspase-3 signaling pathway represented one of the principal foci of the study. The authors have been contacted by the Editorial Office to offer an explanation for these apparent anomalies or curiosities in the presentation of the data in this paper, and we are awaiting their response. Owing to the fact that the Editorial Office has been made aware of potential issues surrounding the scientific integrity of this paper, we are issuing an Expression of Concern to notify readers of this potential problem while the Editorial Office continues to investigate this matter further. [Oncology Reports 37: 1011-1019, 2017; DOI: 10.3892/or.2017.5358]. - Source: PubMed
Publication date: 2026/08/14
Yang ZhenhuaLiu YingShi ChangzhengZhang YuqinLv RongzhaoZhang RongWang QianWang Yiming - Preoperative differentiation between uterine mesenchymal tumors and benign uterine fibroids remains challenging in postmenopausal women. This study aimed to develop an exploratory risk-stratification model for uterine mesenchymal tumors and to characterize complementary molecular features of uterine leiomyosarcoma using a public transcriptomic dataset. A retrospective case-control study was conducted in postmenopausal patients with uterine masses who underwent surgery between 2011 and 2021. A total of 23 uterine mesenchymal tumor cases and 92 frequency-matched fibroid controls were included. Clinical variables were analyzed using univariable and multivariable logistic regression to develop an exploratory risk-stratification model. Model performance was evaluated using ROC analysis, calibration analysis, decision curve analysis, and confusion matrix assessment. Exploratory transcriptomic analysis was performed using the GEO dataset GSE64763 to characterize molecular differences between uterine leiomyosarcoma and fibroid tissues. Pelvic pressure, abnormal uterine bleeding, and tumor diameter were independently associated with uterine mesenchymal tumors. The model achieved an apparent AUC of 0.859 and an optimism-corrected AUC of 0.846 after 1000 bootstrap resamples. Exploratory transcriptomic analysis revealed distinct expression patterns and upregulation of proliferation-associated genes, including CCNB1, BUB1B, PRC1, TOP2A, and FOXM1, with enrichment of cell cycle-related pathways. An exploratory model based on routinely available preoperative variables demonstrated preliminary discriminatory ability within the development cohort. Independent external validation in representative prospective cohorts is required before any assessment of clinical utility. - Source: PubMed
Publication date: 2026/07/31
Wan XiaojieZhang TaoLi JingyiSong ZhiminRuan FeiLuo Jie - Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality worldwide, with limited therapeutic efficacy due to tumor heterogeneity in conventional treatments. In the present study, an integrative, network pharmacology approach was employed to elucidate the multi-target mechanism of action of phytochemicals derived from Glossocardia bosvallia against NSCLC. Among 38 phytocompounds identified, 31 compounds that satisfied pharmacokinetic properties were selected for subsequent analysis. Ligand-based target prediction identified 429 potential protein targets, which are integrated with the top 250 differentially expressed genes obtained from the GSE33532 dataset. Intersection analysis identified eight therapeutic targets: PTGES, SRD5A1, CDK1, KIF11, TOP2A, CDC45, MB, and CHEK1. Protein-protein interaction and enrichment analyses demonstrated that these targets are predominantly involved in cell cycle regulation, mitotic cell cycle, and DNA replication pathways. Gene expression analysis demonstrated significant overexpression of the prioritized targets in NSCLC tissues, while survival analysis identified CHEK1 as the gene significantly associated with survival (p < 0.05). Molecular docking identified TOP2A_quinic acid as the most favorable complex, exhibiting a binding affinity of -12.27 kcal/mol, KIF11_linoleic acid as -12.10 kcal/mol and CHEK1_2,3-dihydro-3,5-dihydroxy-6-methyl-4h-pyran-4-one as -6.75 kcal/mol, which was further validated by dynamic simulations, principal component analysis based free energy landscape, and DSSP analysis, confirming the stability of the protein. This integrative framework provides a robust strategy for identifying biologically relevant and therapeutically actionable targets supporting the potential of G. bosvallia-derived phytochemicals as promising candidates for NSCLC. - Source: PubMed
Publication date: 2026/08/04
Kulandhaivel Soundar RajanStalin AntonyMuthuramalingam PandiyanSivaprakasam BalasubramanianJesudass Joseph Sahayarayan