Relevant bibliographies by topics / TargetScan

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  1. Journal articles
  2. Dissertations / Theses

Academic literature on the topic 'TargetScan'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "TargetScan"

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Shinde, Santosh, and Utpal Bhadra. "MicroRNA Gene Interaction in Amyotrophic Lateral Sclerosis Dataset." Dataset Papers in Science 2014 (June 30, 2014): 1–24. http://dx.doi.org/10.1155/2014/780726.

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All microRNAs (miRNAs) in amyotrophic lateral sclerosis (ALS) study were collected from public databases such as miRBase, mir2Disease, and Human miRNA and Disease Database (HMDD). These miRNA datasets were used for target identification; these sets of miRNAs were expressed in brain specific parts of brain such as midbrain, cerebellum, frontal cortex, and hippocampus. Gene’s information and sequences were collected from NCBI and KEGG databases. All miRNAs were used for target prediction against 35 ALS associated genes. Three programs were used for target identification, namely, miRanda, TargetS
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Tadtayev, S., E. Mazaris, L. Fowler, and G. Boustead. "UP-02.141 TargetScan 3D Mapping Biopsies of the Prostate in Men With Prior Negative Biopsies." Urology 78, no. 3 (2011): S308—S309. http://dx.doi.org/10.1016/j.urology.2011.07.959.

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Mon‐López, Daniel, and Carlos M. Tejero‐González. "Validity and reliability of the TargetScan ISSF Pistol & Rifle application for measuring shooting performance." Scandinavian Journal of Medicine & Science in Sports 29, no. 11 (2019): 1707–12. http://dx.doi.org/10.1111/sms.13515.

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Bollmann, Stephanie, Dengpan Bu, Jiaqi Wang, and Massimo Bionaz. "Unmasking Upstream Gene Expression Regulators with miRNA-corrected mRNA Data." Bioinformatics and Biology Insights 9S4 (January 2015): BBI.S29332. http://dx.doi.org/10.4137/bbi.s29332.

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Expressed micro-RNA (miRNA) affects messenger RNA (mRNA) abundance, hindering the accuracy of upstream regulator analysis. Our objective was to provide an algorithm to correct such bias. Large mRNA and miRNA analyses were performed on RNA extracted from bovine liver and mammary tissue. Using four levels of target scores from TargetScan (all miRNA:mRNA target gene pairs or only the top 25%, 50%, or 75%) Using four levels of target scores from TargetScan (all miRNA:mRNA target gene pairs or only the top 25%, 50%, or 75%) and four levels of the magnitude of miRNA effect (ME) on mRNA expression (3
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Lv, Teng, Kejuan Song, Lili Zhang, et al. "miRNA-34a decreases ovarian cancer cell proliferation and chemoresistance by targeting HDAC1." Biochemistry and Cell Biology 96, no. 5 (2018): 663–71. http://dx.doi.org/10.1139/bcb-2018-0031.

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This study aimed to explore the roles of miRNA-34a (miR-34a) in ovarian cancer (OC) cells and uncover possible mechanisms. The proliferation of OC cells was measured with an MTT assay and soft agar colony formation assay. TargetScan analysis, real-time PCR, and a luciferase reporter assay were used to demonstrate the downstream target of miR-34a in OC cells. HDAC1 expression levels were detected by immunoblot analysis. miR-34a inhibited the proliferation of SKOV3 and OVCA433 cells and enhanced cisplatin sensitivity in cisplatin-resistant SKOV3cp cells. The results of TargetScan analysis, real-
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Shi, Yuxia, Fan Yang, Shuqing Wei, and Gang Xu. "Identification of Key Genes Affecting Results of Hyperthermia in Osteosarcoma Based on Integrative ChIP-Seq/TargetScan Analysis." Medical Science Monitor 23 (April 28, 2017): 2042–48. http://dx.doi.org/10.12659/msm.901191.

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Mustafa, Rima, Mohsen Ghanbari, Marina Evangelou, and Abbas Dehghan. "An Enrichment Analysis for Cardiometabolic Traits Suggests Non-Random Assignment of Genes to microRNAs." International Journal of Molecular Sciences 19, no. 11 (2018): 3666. http://dx.doi.org/10.3390/ijms19113666.

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MicroRNAs (miRNAs) regulate the expression of the majority of genes. However, it is not known whether they regulate genes in random or are organized according to their function. To this end, we chose cardiometabolic disorders as an example and investigated whether genes associated with cardiometabolic disorders are regulated by a random set of miRNAs or a limited number of them. Single-nucleotide polymorphisms (SNPs) reaching genome-wide level significance were retrieved from most recent genome-wide association studies on cardiometabolic traits, which were cross-referenced with Ensembl to iden
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Woo, Chin Cheng, Wenting Liu, Xiao Yun Lin, et al. "The Interaction between 30b-5p miRNA and MBNL1 mRNA is Involved in Vascular Smooth Muscle Cell Differentiation in Patients with Coronary Atherosclerosis." International Journal of Molecular Sciences 21, no. 1 (2019): 11. http://dx.doi.org/10.3390/ijms21010011.

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Vascular smooth muscle cells (VSMCs) in the arterial wall have diverse functions. In pathological states, the interplay between transcripts and microRNAs (miRNAs) leads to phenotypic changes. Understanding the regulatory role of miRNAs and their target genes may reveal how VSMCs modulate the pathogenesis of coronary artery disease. Laser capture microdissection was performed on aortic wall tissues obtained from coronary artery bypass graft patients with and without recent acute myocardial infarction (MI). The mSMRT-qPCR miRNA assay platform (MiRXES, Singapore) was used to profile miRNA. The mi
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Zhang, Jun, Suli Lu, Ting Ding, Haijia Zhao, and Dongxing Tang. "MiR-384 is associated with renal damage in lupus nephritis via regulation of TET3 expression." Tropical Journal of Pharmaceutical Research 19, no. 12 (2021): 2571–76. http://dx.doi.org/10.4314/tjpr.v19i12.13.

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Purpose: To investigate the correlations between miR-384 expression and renal damage in lupus nephritis (LN).Methods: Lupus nephritis and normal tissues were collected during surgery. The relative miR-384 expression was evaluated by extracting RNA and performing quantitative real time PCR (qRT-PCR) assays. Expression of ten-eleven translocation (TET3) mRNA and protein were measured by qRT-PCR and western blotting, respectively. The 24-h urine protein, serum complement C3, and serum creatinine were determined using commercial enzyme-linked immunosorbent assay (ELISA) kits. TargetScan and lucife
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Wang, Yibiao, and Min Xu. "miR-380-5p facilitates NRF2 and attenuates cerebral ischemia/reperfusion injury-induced neuronal cell death by directly targeting BACH1." Translational Neuroscience 12, no. 1 (2021): 210–17. http://dx.doi.org/10.1515/tnsci-2020-0172.

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Abstract Background This study aimed to explore the role of miR-380-5p in cerebral ischemia/reperfusion (CIR) injury-induced neuronal cell death and the potential signaling pathway involved. Methodology Human neuroblastoma cell line SH-SY5Y cells were used in this study. Oxygen and glucose deprivation/reperfusion (OGD/R) model was used to mimic ischemia/reperfusion injury. CCK-8 assay and flow cytometry were used to examine cell survival. Quantitative real time PCR (RT-qPCR) assay and Western blotting were used to measure the change of RNA and protein expression, respectively. TargetScan and L
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Dissertations / Theses on the topic "TargetScan"

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Guidi, Mònica. "Micro RNA-Mediated regulation of the full-length and truncated isoforms of human neurotrophic tyrosine kinase receptor type 3 (NTRK 3)." Doctoral thesis, Universitat Pompeu Fabra, 2009. http://hdl.handle.net/10803/7114.

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Neurotrophins and their receptors are key molecules in the development of the<br/>nervous system. Neurotrophin-3 binds preferentially to its high-affinity receptor<br/>NTRK3, which exists in two major isoforms in humans, the full-length kinaseactive<br/>form (150 kDa) and a truncated non-catalytic form (50 kDa). The two<br/>variants show different 3'UTR regions, indicating that they might be differentially<br/>regulated at the post-transcriptional level. In this work we explore how<br/>microRNAs take part in the regulation of full-length and truncated NTRK3,<br/>demonstrating that the two isof
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Wang, Chih-Wei, and 王智威. "Predicting Merger and Acquisition Targets：An Empirical Study of Electronic Industry in Taiwan." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/82453991080881132971.

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碩士<br>國立臺灣大學<br>財務金融學研究所<br>95<br>Firms may be merged or acquired for various reasons, some of these reasons are hypothesized and quantified into accounting, financial, or market variables. In previous studies, these variables were used to develop a target prediction model for foreign firms. The same concept is applied in this study to the Taiwan electronic industry. A forward stepwise binary logit regression is used to construct the model. Three different types of cutoff are used to test the classifying and predictive accuracy for the estimation sample and the holdout sample respectively. A p
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Wang, Chih-Wei. "Predicting Merger and Acquisition Targets:An Empirical Study of Electronic Industry in Taiwan." 2007. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-1806200714203200.

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