Gentaur Pub

#38650024   2024/04/23 To Up

MicroRNAs predict early complications of autologous hematopoietic stem cell transplantation.

A
Damian Mikulski, Mateusz Nowicki, Izabela Dróżdż, Ewelina Perdas, Piotr Strzałka, Kacper Kościelny, Małgorzata Misiewicz, Konrad Stawiski, Agnieszka Wierzbowska, Wojciech Fendler

1757 related Products with: MicroRNAs predict early complications of autologous hematopoietic stem cell transplantation.

5 ug2ug10 ug96 wells (1 kit)24 wells3 Modulators24 wells8 Modulators10 Modulators363 inhibitors

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#38644890   2024/04/13 To Up

Deciphering the role of non-coding RNAs involved in sorafenib resistance.

S
FanJing Jing, YunYan Shi, Dong Jiang, Xiao Li, JiaLin Sun, XiaoLei Zhang, Qie Guo

2953 related Products with: Deciphering the role of non-coding RNAs involved in sorafenib resistance.

100 μg100 μg 100 UG1 50 UG200ul

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#38643140   2024/04/20 To Up

Analyses of lncRNA and mRNA profiles in recurrent atrial fibrillation after catheter ablation.

Atrial fibrillation (AF) is the most common cardiac arrhythmia worldwide. Catheter ablation has become a crucial treatment for AF. However, there is a possibility of atrial fibrillation recurrence after catheter ablation. Our study sought to elucidate the role of lncRNA‒mRNA regulatory networks in late AF recurrence after catheter ablation.
Huaiguang Tang, Kongmiao Lu, Yan Wang, Yue Shi, Wansheng Ma, Xiaomeng Chen, Bingong Li, Yibing Shao

2290 related Products with: Analyses of lncRNA and mRNA profiles in recurrent atrial fibrillation after catheter ablation.

100 μg100 assays50 ul100 μg96T100 μg100ug100 μg100ug

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#38641707   2024/04/19 To Up

Serum micro-RNAs with mutation-targeted RNA modification: a potent cancer detection tool constructed using an optimized machine learning workflow.

RNA modifications affect fundamental biological processes and diseases and are a research hotspot. Several micro-RNAs (miRNAs) exhibit genetic variant-targeted RNA modifications that can greatly alter their biofunctions and influence their effect on cancer. Therefore, the potential role of these miRNAs in cancer can be implicated in new prevention and treatment strategies. In this study, we determined whether RMvar-related miRNAs were closely associated with tumorigenesis and identified cancer-specific signatures based on these miRNAs with variants targeting RNA modifications using an optimized machine learning workflow. An effective machine learning workflow, combining least absolute shrinkage and selection operator analyses, recursive feature elimination, and nine types of machine learning algorithms, was used to screen candidate miRNAs from 504 serum RMvar-related miRNAs and construct a diagnostic signature for cancer detection based on 43,047 clinical samples (with an area under the curve value of 0.998, specificity of 93.1%, and sensitivity of 99.3% in the validation cohort). This signature demonstrated a satisfactory diagnostic performance for certain cancers and different conditions, including distinguishing early-stage tumors. Our study revealed the close relationship between RMvar-related miRNAs and tumors and proposed an effective cancer screening tool.
Wei Liao, Yuyan Xu, Mingxin Pan, Huanwei Chen

2270 related Products with: Serum micro-RNAs with mutation-targeted RNA modification: a potent cancer detection tool constructed using an optimized machine learning workflow.

200ul100 μg200ul100 μg100 μg 6 ml Ready-to-use 1 module2ml100ul

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#38640424   2024/04/19 To Up

Discovery of common molecular signatures and drug repurposing for COVID-19/Asthma comorbidity: ACE2 and multi-partite networks.

A
Jiajun Xu, Raghad Abdulsalam Khaleel, Haider Kamil Zaidan, Ahmed Faisal Mutee, Khaled Fahmi Fawy, Anita Gehlot, Alaa Hashim Abbas, José Luis Arias Gonzáles, Ali H Amin, Maribel Carmen Ruiz-Balvin, Shima Imannezhad, Abolfazl Bahrami, Reza Akhavan-Sigari

1761 related Products with: Discovery of common molecular signatures and drug repurposing for COVID-19/Asthma comorbidity: ACE2 and multi-partite networks.

10 mg50 ug 500 MG25 mg100ug96T100ul50 mg25 mg1000 tests100ug100ug

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#38640322   // To Up

CDK1 and CCNA2 play important roles in oral squamous cell carcinoma.

Oral squamous cell carcinoma (OSCC) is a malignant tumor that occurs in oral cavity and is dominated by squamous cells. The relationship between CDK1, CCNA2, and OSCC is still unclear. The OSCC datasets GSE74530 and GSE85195 configuration files were downloaded from the Gene Expression Omnibus (GEO) database and were derived from platforms GPL570 and GPL6480. Differentially expressed genes (DEGs) were screened. The weighted gene co-expression network analysis, functional enrichment analysis, gene set enrichment analysis, construction and analysis of protein-protein interaction (PPI) network, Comparative Toxicogenomics Database analysis were performed. Gene expression heatmap was drawn. TargetScan was used to screen miRNAs that regulate central DEGs. A total of 1756 DEGs were identified. According to Gene Ontology (GO) analysis, they were predominantly enriched in processes related to organic acid catabolic metabolism, centromeric, and chromosomal region condensation, and oxidoreductase activity. In Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, the DEGs were mainly concentrated in metabolic pathways, P53 signaling pathway, and PPAR signaling pathway. Weighted gene co-expression network analysis was performed with a soft-thresholding power set at 9, leading to the identification of 6 core genes (BUB1B, CCNB1, KIF20A, CCNA2, CDCA8, CDK1). The gene expression heatmap revealed that core genes (CDK1, CCNA2) were highly expressed in OSCC samples. Comparative Toxicogenomics Database analysis demonstrated associations between the 6 genes (BUB1B, CCNB1, KIF20A, CCNA2, CDCA8, CDK1) and oral tumors, precancerous lesions, inflammation, immune system disorders, and tongue tumors. The associated miRNAs for CDK1 gene were hsa-miR-203a-3p.2, while for CCNA2 gene, they were hsa-miR-6766-3p, hsa-miR-4782-3p, and hsa-miR-219a-5p. CDK1 and CCNA2 are highly expressed in OSCC. The higher the expression of CDK1 and CCNA2, the worse the prognosis.
Junbo Zhang, Yongbin Di, Bohao Zhang, Tianke Li, Dan Li, Haolei Zhang

1700 related Products with: CDK1 and CCNA2 play important roles in oral squamous cell carcinoma.

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#38640297   // To Up

Comprehensive analysis of circRNA expression profiles in postmenopausal women differing in bone mineral density.

P
Kailun Huo, Tianning Chen, Dece Kong, Weiwei Zhang, Jin Shao

1517 related Products with: Comprehensive analysis of circRNA expression profiles in postmenopausal women differing in bone mineral density.

300 units

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#38640103   2024/04/19 To Up

Correction: Identification of serum prognostic marker miRNAs and construction of microRNA-mRNA networks of esophageal cancer.

[This corrects the article DOI: 10.1371/journal.pone.0255479.].
Yue Jiang, Chengda Zhang, Wenbin Shen, Yiming Li, Yun Wang, Jianjun Han, Tao Liu, Li Jia, Fei Gao, Xiaojun Liu, Mi Chen, Guangming Yi, Hongchun Dai, Jun He

2022 related Products with: Correction: Identification of serum prognostic marker miRNAs and construction of microRNA-mRNA networks of esophageal cancer.

500 tests 5 GEachEach500 testsEach96T

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#38639776   2024/04/19 To Up

Comparative miRNome and transcriptome analyses reveal the expression of novel miRNAs in the panicle of rice implicated in sustained agronomic performance under terminal drought stress.

D
Simardeep Kaur, Karishma Seem, Naveen Duhan, Suresh Kumar, Rakesh Kaundal, Trilochan Mohapatra

2804 related Products with: Comparative miRNome and transcriptome analyses reveal the expression of novel miRNAs in the panicle of rice implicated in sustained agronomic performance under terminal drought stress.

1 100 UG100 ug300 units

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#38637761   2024/04/18 To Up

Ferroptosis-related lncRNA NRAV affects the prognosis of hepatocellular carcinoma via the miR-375-3P/SLC7A11 axis.

F
Ke Zong, Caifeng Lin, Kai Luo, Yilei Deng, Hongfei Wang, Jianfei Hu, Shi Chen, Renfeng Li

1107 related Products with: Ferroptosis-related lncRNA NRAV affects the prognosis of hepatocellular carcinoma via the miR-375-3P/SLC7A11 axis.

500 Units11250 IU 100 G100.00 ul

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