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Changes in Blood microRNA Expression and Early Metabolic Responsiveness 21 Days Following Bariatric Surgery
Published 2019“…Normalization of fasting glucose and HbA1c following bariatric surgery (short-term diabetes remission) was defined as withdrawal of anti-diabetic medication and fasting glucose < 100 mg/dL (5.6 mmol/L) or HbA1c < 6.0%. MicroRNA expression was determined by quantitative polymerase chain reaction and tested for significant changes after surgery.…”
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Epigenetic changes in diabetes
Published 2016“…Diabetes is a genetic disease; however, the environment plays critical roles in its development and progression. Epigenetic changes often translate environmental stimuli to changes in gene expression. …”
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The Use of the Gene Expression Omnibus (GEO) Database to Study Gene Expression and Methylation Patterns in Cases of Preterm Birth and Associated Diseases
Published 2023“…</p> <h3>Results</h3> <p>Of the 8 datasets, 3 displayed significant changes in expression patterns after application of the filtering criteria. …”
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Expression of microRNA in follicular fluid in women with and without PCOS
Published 2019“…<p>Several studies have shown the expression of small non-coding microRNA (miRNA) changes in PCOS and their expression in follicular fluid has been described, though the number of studies remains small. …”
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Analysis of facial emotion expression in eating occasions using deep learning
Published 2023“…We propose a facial expression-based prediction model to eliminate user bias in questionnaire-based assessment systems and to minimize false entries to the system. …”
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Gene expression data analysis identifies multiple deregulated pathways in patients with asthma
Published 2018“…Normal and mild asthmatic patients clustered separately from the severe asthma group, suggesting substantial progression-related changes in gene expression. Pathway analysis of up-regulated severe asthma-related genes identified multiple cellular processes, such as polymorphism, T-cell development, and transforming growth factor-β signaling. …”
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BioNetApp: An interactive visual data analysis platform for molecular expressions
Published 2019“…</p><h3>Results</h3><p dir="ltr">BioNetApp is an interactive visual data mining software for analyzing high-volume molecular expression data obtained from multiple ‘omics experiments. …”
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A SAGE (Serial analysis of gene expression) view of breast tumor progression
Published 2001“…To identify molecular alterations involved in the initiation and progression of breast carcinomas, we analyzed the global gene expression profiles of normal mammary epithelial cells and in situ, invasive, and metastatic breast carcinomas using serial analysis of gene expression (SAGE). …”
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Detection of statistically significant network changes in complex biological networks
Published 2017“…It can happen that due to gene mutations, as for example when cancer progresses, the gene expression network undergoes some amount of localized re-wiring. …”
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Transcriptomic Analyses Revealed Systemic Alterations in Gene Expression in Circulation and Tumor Microenvironment of Colorectal Cancer Patients
Published 2019“…Most affected signaling networks were those involved in tumor necrosis factor (TNF) and interleukin signaling. The expression of selected immune-related genes from the RNA-Seq data were further validated using qRT-PCR. …”
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Gene expression analysis reveals genes related to heavy metals and produced water exposure in Synechococcus elongatus
Published 2025“…RNA sequencing was performed to analyze transcriptomic changes in S. elongatus grown in BG-11 (control) and exposed to 3 mg/mL of iron (heavy metal (HM)) or 25% v/v PW in BG-11. …”
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Corrigendum: microRNA Expression in Women With and Without Polycystic Ovarian Syndrome Matched for Body Mass Index
Published 2020“…</p><p dir="ltr">The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. …”
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Differentially expressed miRNA profiles of serum derived extracellular vesicles from patients with acute ischemic stroke
Published 2024“…An enrichment analysis was conducted to delineate the networks and biological pathways implicated by differentially expressed microRNAs. ResultsFive miRNAs were differentially expressed between stroke (AIS) versus control (HC). hsa-let-7b-5p, hsa-miR-16-5p, and hsa-miR-320c were upregulated, whereas hsa-miR-548a-3p and hsa-miR-6808-3p, with no previously reported changes in stroke were downregulated. …”
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