scholarly journals Genome-wide circulating microRNA expression profiling indicates biomarkers for epilepsy

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Jun Wang ◽  
Jin-Tai Yu ◽  
Lin Tan ◽  
Yan Tian ◽  
Jing Ma ◽  
...  
Keyword(s):  
Expression Profiling ◽  
Microrna Expression ◽  
Circulating Microrna ◽  
Genome Wide

Genome-wide circulating microRNA expression profiling reveals potential biomarkers for amyotrophic lateral sclerosis

2018 ◽  
Vol 64 ◽  
pp. 123-138 ◽  
Author(s):  
José Manuel Matamala ◽  
Raul Arias-Carrasco ◽  
Carolina Sanchez ◽  
Markus Uhrig ◽  
Leslie Bargsted ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Expression Profiling ◽  
Microrna Expression ◽  
Circulating Microrna ◽  
Genome Wide ◽  
Lateral Sclerosis ◽  
Potential Biomarkers

scholarly journals Analysis of Circulating microRNA Signatures and Preeclampsia Development

Cells ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1003
Author(s):  
Margarita L. Martinez-Fierro ◽  
Idalia Garza-Veloz
Keyword(s):  
Pregnant Women ◽  
Expression Profiling ◽  
Gene Prediction ◽  
Microrna Expression ◽  
Differentially Expressed ◽  
Control Group ◽  
Case Group ◽  
Circulating Microrna ◽  
Activated T Cells ◽  
Serum Microrna

microRNAs are important regulators of cell processes and have been proposed as potential preeclampsia biomarkers. We evaluated serum microRNA expression profiling to identify microRNAs involved in preeclampsia development. Serum microRNA expression profiling was evaluated at 12, 16, and 20 weeks of gestation (WG), and at the time of preeclampsia diagnosis. Two groups were evaluated using TaqMan low-density array plates: a control group with 18 normotensive pregnant women and a case group with 16 patients who developed preeclampsia during the follow-up period. Fifty-three circulating microRNAs were differentially expressed between groups (p < 0.05). Compared with controls, hsa-miR-628-3p showed the highest relative quantity values (at 12 WG = 7.7 and at 20 WG = 3.45) and the hsa-miRs -151a-3p and -573 remained differentially expressed from 16 to 20 WG (p < 0.05). Signaling pathways including cancer-related, axon guidance, Neurotrophin, GnRH, VEGF, and B/T cell receptor, were most commonly altered. Further target gene prediction revealed that nuclear factor of activated T-cells 5 gene was included among the transcriptional targets of preeclampsia-modulated microRNAs. Specific microRNAs including hsa-miRs -628-3p, -151a-3p, and -573 were differentially expressed in serum of pregnant women before they developed preeclampsia compared with controls and their participation in the preeclampsia development should be considered.

scholarly journals hsa-MiR-19a-3p and hsa-MiR-19b-3p Are Associated with Spinal Cord Injury-Induced Neuropathic Pain: Findings from a Genome-Wide MicroRNA Expression Profiling Screen

2021 ◽  
Vol 2 (1) ◽  
pp. 424-439
Author(s):  
Liang Ye ◽  
Leslie R. Morse ◽  
Scott P. Falci ◽  
Julie K. Olson ◽  
Mayank Shrivastava ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Neuropathic Pain ◽  
Expression Profiling ◽  
Microrna Expression ◽  
Genome Wide ◽  
A Genome ◽  
Cord Injury

scholarly journals Genome–wide microRNA expression profiling in placentas from pregnant women exposed to BPA

2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Bruna De Felice ◽  
Francesco Manfellotto ◽  
Annarita Palumbo ◽  
Jacopo Troisi ◽  
Fulvio Zullo ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Expression Profiling ◽  
Microrna Expression ◽  
Genome Wide

scholarly journals A Ten-MicroRNA Signature Identified from a Genome-Wide MicroRNA Expression Profiling in Human Epithelial Ovarian Cancer

PLoS ONE ◽  
2014 ◽  
Vol 9 (5) ◽  
pp. e96472 ◽  
Author(s):  
Lin Wang ◽  
Miao-Jun Zhu ◽  
Ai-Min Ren ◽  
Hong-Fei Wu ◽  
Wu-Mei Han ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Expression Profiling ◽  
Microrna Expression ◽  
Genome Wide ◽  
A Genome

scholarly journals CMEP: a database for circulating microRNA expression profiling

2019 ◽  
Vol 35 (17) ◽  
pp. 3127-3132 ◽  
Author(s):  
Jian-Rong Li ◽  
Chun-Yip Tong ◽  
Tsai-Jung Sung ◽  
Ting-Yu Kang ◽  
Xianghong Jasmine Zhou ◽  
...  
Keyword(s):  
Feature Selection ◽  
Expression Profiling ◽  
Large Scale ◽  
Microrna Expression ◽  
Support Vector ◽  
Pathway Enrichment Analysis ◽  
Selection Function ◽  
Circulating Microrna ◽  
Circulating Mirnas ◽  
Circulating Mirna

Abstract Motivation In recent years, several experimental studies have revealed that the microRNAs (miRNAs) in serum, plasma, exosome and whole blood are dysregulated in various types of diseases, indicating that the circulating miRNAs may serve as potential noninvasive biomarkers for disease diagnosis and prognosis. However, no database has been constructed to integrate the large-scale circulating miRNA profiles, explore the functional pathways involved and predict the potential biomarkers using feature selection between the disease conditions. Although there have been several studies attempting to generate a circulating miRNA database, they have not yet integrated the large-scale circulating miRNA profiles or provided the biomarker-selection function using machine learning methods. Results To fill this gap, we constructed the Circulating MicroRNA Expression Profiling (CMEP) database for integrating, analyzing and visualizing the large-scale expression profiles of phenotype-specific circulating miRNAs. The CMEP database contains massive datasets that were manually curated from NCBI GEO and the exRNA Atlas, including 66 datasets, 228 subsets and 10 419 samples. The CMEP provides the differential expression circulating miRNAs analysis and the KEGG functional pathway enrichment analysis. Furthermore, to provide the function of noninvasive biomarker discovery, we implemented several feature-selection methods, including ridge regression, lasso regression, support vector machine and random forests. Finally, we implemented a user-friendly web interface to improve the user experience and to visualize the data and results of CMEP. Availability and implementation CMEP is accessible at http://syslab5.nchu.edu.tw/CMEP.

scholarly journals 802 Microarray based comparative genome-wide microRNA expression profiling of skin during aging in Chinese populations

2018 ◽  
Vol 138 (5) ◽  
pp. S136
Author(s):  
D. Jiang ◽  
V. Busuttil ◽  
H. Li ◽  
S. Jiang ◽  
C. Serre ◽  
...  
Keyword(s):  
Expression Profiling ◽  
Microrna Expression ◽  
Comparative Genome ◽  
Chinese Populations ◽  
Genome Wide

Genome-Wide Serum microRNA Expression Profiling Identifies Serum Biomarkers for Alzheimer's Disease

2014 ◽  
Vol 40 (4) ◽  
pp. 1017-1027 ◽  
Author(s):  
Lin Tan ◽  
Jin-Tai Yu ◽  
Meng-Shan Tan ◽  
Qiu-Yan Liu ◽  
Hui-Fu Wang ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Expression Profiling ◽  
Serum Biomarkers ◽  
Microrna Expression ◽  
Serum Microrna ◽  
Genome Wide
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