Showing 1,181 - 1,200 results of 2,004 for search '"bioinformatics"', query time: 0.06s Refine Results
  1. 1181

    METTL10 attenuates adriamycin-induced podocyte injury by targeting cell dedifferentiation by Jiwen Bao, Ziyang Li, Huanzhen Yao, Bei Wu, Leyi Gu, Yangbin Pan, Ling Wang

    Published 2025-01-01
    “…We identified the differentially expressed genes(DEGs)in podocyte injury by bioinformatics analysis. Patients diagnosed as idiopathic FSGS by renal biopsy were enrolled. …”
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  2. 1182
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  5. 1185

    Small open reading frames (sORFs): Driving big improvements in plant development and quality by Kui Dong, Chaofan Shan, Dongyu Wen, Zifan Cui, Jun Cao

    Published 2025-03-01
    “…With the advent of sophisticated technologies such as bioinformatics, ribosome profiling, and mass spectrometry, the investigation of sORFs has experienced a transformative shift and significant expansion. …”
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  6. 1186

    Identification of Houge type of X-linked syndromic mental retardation caused by CNKSR2 truncated variants by Si-Hua Chang, Jie-Yuan Jin, Yi-Qiao Hu, Run-Yan Wang, Rong Xiang, Xia Wang

    Published 2025-02-01
    “…Methods Two Chinese MRXSHG families were recruited, and their genetic causes were investigated using whole-exome sequencing (WES), Sanger sequencing, and bioinformatics analysis. To verify the impact of these variants, we used real-time PCR and minigenes consisting of exon 14, intron 14, and exon 15 from both the wild-type and the c.1658-3_1676del DNA sequences. …”
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  7. 1187

    Construction of a potentially functional long noncoding RNA-microRNA-mRNA network in diabetic cardiomyopathy by Qiwen Cao, Zhihui Dong, Yangbo Xi, Jiana Zhong, Jianzhong Huang, Qunfeng Yang

    Published 2024-12-01
    “…This study aimed to construct a comprehensive competing endogenous RNA (ceRNA) network in DCM using bioinformatics analysis. Materials and Methods: Three expression profiles datasets (GSE161827, GSE161931, and GSE241166) were collected from gene expression omnibus database and then integrated for the identification of differentially expressed genes (DEGs). …”
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  8. 1188

    Design and implementation of an asynchronous online course-based undergraduate research experience (CURE) in computational genomics. by Seema B Plaisier, Danielle O Alarid, Joelle A Denning, Sara E Brownell, Kenneth H Buetow, Katelyn M Cooper, Melissa A Wilson

    Published 2024-09-01
    “…We generated custom learning materials and leveraged remotely accessible computational tools to address 2 novel research questions over 2 iterations of the genomics CURE, one testing bioinformatics approaches and one mining cancer genomics data. …”
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  9. 1189

    Bioinformation study of immune microenvironment characteristics of disulfidptosis-related subtypes in ovarian cancer and prognostic model construction by Ying Zhou, Yuhong Zhang, Yang Zhou, Yanzheng Gu, Youguo Chen, Juan Wang

    Published 2025-01-01
    “…However, its role in ovarian cancer is not well understood. Methods Bioinformatics analysis was performed on RNA-seq data from TCGA and GEO databases to identify disulfidptosis-related genes in ovarian cancer. …”
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  10. 1190

    Extraction, GC-MS analysis, cytotoxic, anti-inflammatory and anticancer potential of Cannabis sativa female flower; in vitro, in vivo and in silico by Waqas Safir, Arif Malik, Arif Malik, Haleema Saadia, Ayesha Zahid, Jinyao Li

    Published 2025-02-01
    “…The antiproliferative activities of the extract were determined on HeLa cells by using MTT, Crystal Violet, and Trypan Blue assays with an IC50 value suggesting 51%-77.6% lethality. The bioinformatics analysis of molecular docking proved significant ligand-protein interactions of CBD, THC, and humulene with cancer-associated proteins such as PD-1/PD-L1, TNF-α, and MMP-9. …”
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  11. 1191

    Investigation of Intestinal Microbes of Five Zokor Species Based on 16S rRNA Sequences by Yao Zou, Quan Zou, Hui Yang, Chongxuan Han

    Published 2024-12-01
    “…Here, we investigated the intestinal microbes of five zokor species (<i>Eospalax cansus</i>, <i>Eospalax rothschildi</i>, <i>Eospalax smithi</i>, <i>Myospalax aspalax</i>, and <i>Myospalax psilurus</i>) using 16S amplicon technology combined with bioinformatics. Microbial composition analysis showed similar intestinal microbes but different proportions among five zokor species, and their dominant bacteria corresponded to those of herbivores. …”
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  12. 1192

    NOP2/Sun RNA Methyltransferase 4 Regulates the Mammalian Target of Rapamycin Signaling Pathway to Promote Hepatocellular Carcinoma Progression by Congren Wang, Shaoying Ke, Shaoze Lin, Conglin Lin, Zhibing Cai, Lingju Hong, Qunxiong Pan

    Published 2025-01-01
    “…Materials and Methods: The relation between the expression level of NSUN4 and the prognosis of HCC was measured by the means of bioinformatics. The expression level of NSUN4 was assessed by quantitative reverse transcription polymerase chain reaction. …”
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    AURKB affects the proliferation of clear cell renal cell carcinoma by regulating fatty acid metabolism by Yang Yang, Dan Li, Zhigang Liu, Kai Zhou, Wenxing Li, Yanqi Yang, Ruifang Sun, Yulong Li

    Published 2025-01-01
    “…Methods We performed bioinformatics analysis, CCK-8 assay, RNA sequencing, RT-PCR and Western blot to analyze the function and mechanism of AURKB in ccRCC. …”
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    The Response of the miRNA Profiles of the Thyroid Gland to the Artificial Photoperiod in Ovariectomized and Estradiol-Treated Ewes by Zizhen Ren, Wei Wang, Xiaoyun He, Mingxing Chu

    Published 2024-12-01
    “…In this study, we used the artificial-light-controlled, ovariectomized, and estradiol-treated model (OVX + E2 model); healthy and consistent 2–3-year-old Sunite multiparous ewes were collected; and thyroids were collected for testing, combined with RNA-seq technology and bioinformatics analysis, to analyze the effects of different photoperiods (long photoperiod treatment for 42 days, LP42; short photoperiod treatment for 42 days, SP42; SP42 transferred to LP42, SPLP42) on the variations in the miRNA profiles of the thyroid gland. …”
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  19. 1199

    Differential expression of plasma proteins and pathway enrichments in pediatric diabetic ketoacidosis by Paolo Spagnolo, Enis Cela, Maitray A. Patel, David Tweddell, Mark Daley, Cheril Clarson, Saverio Stranges, Gediminas Cepinskas, Douglas D. Fraser

    Published 2025-01-01
    “…Data analysis was performed using multivariate statistics, machine learning, and bioinformatics. Results This study identified 214 differentially expressed proteins (162 upregulated, 52 downregulated; adj P < 0.05 and a fold change > 2), reflecting cellular dysfunction and metabolic stress in severe DKA. …”
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