Combined Noncoding RNA-mRNA Regulomics Signature in Reprogramming and Pluripotency in iPSCs by Salam Salloum-Asfar (656363)

“…In this study, we performed quantitative miRNAome and small RNA-seq sequencing and applied our previously identified transcriptome to identify the potential miRNA–mRNA regulomics and regulatory network of other ncRNAs. …”

Insights Into the Role of CircRNAs: Biogenesis, Characterization, Functional, and Clinical Impact in Human Malignancies by Sabah Nisar (12561961)

“…<div><p>Circular RNAs (circRNAs) are an evolutionarily conserved novel class of non-coding endogenous RNAs (ncRNAs) found in the eukaryotic transcriptome, originally believed to be aberrant RNA splicing by-products with decreased functionality. …”

A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact by Samer Gowid (15955152)

“…<p dir="ltr">This paper aims to develop a robust and practical photovoltaic (PV) Maximum Power Point (MPP) identification tool developed using reliable experimental data sets. …”

miRNA-dependent regulation of STIM1 expression in breast cancer by Rashmi P. Kulkarni (18618634)

“…Here we investigate the role of the microRNA machinery in regulating STIM1 expression. We show that STIM1 expression is regulated post-transcriptionally by the miRNA machinery and identify miR-223 and miR-150 as regulators of STIM1 expression in the luminal non-aggressive MCF7 breast cancer cell line. …”

Serum Vitamin D Concentration ≥75 nmol/L Is Related to Decreased Cardiometabolic and Inflammatory Biomarkers, Metabolic Syndrome, and Diabetes; and Increased Cardiorespiratory Fitn... by Vijay Ganji (8710491)

Post-transcriptional regulation of Pabpn1 by the RNA binding protein HuR by Brittany L Phillips (18696937)

“…<p dir="ltr">RNA processing is critical for proper spatial and temporal control of gene expression. …”

Stochastic Programming for Hub Energy Management Considering Uncertainty Using Two-Point Estimate Method and Optimization Algorithm by Ali S. Alghamdi (17541711)

“…This has been done using a new meta-heuristic algorithm, improved artificial rabbits optimization (IARO). …”

Technical assessment of different extraction methods and transcriptome profiling of RNA isolated from small volumes of blood by Mahesh Kumar Reddy Kalikiri (17886695)

“…The TURBO DNA Free treatment affected the RNA samples negatively, decreasing the RNA yield and reducing the quality and reproducibility of the transcriptomic data. …”

Changes in Blood microRNA Expression and Early Metabolic Responsiveness 21 Days Following Bariatric Surgery by Stephen L. Atkin (6684368)

“…We hypothesized that small non-coding microRNA changes might contribute to regulating mechanisms for metabolic changes and weight loss in patients with severe obesity and diabetes.…”

Effect of Hypoxia on Maximal Fat Oxidation Rate During Incremental Cycling : Relationship to the Gas Exchange Threshold by Youmna Elsayed Hassanein (21547490)

“…A 25% decrease in MFO in HYPO (0.25 ± 0.08g.min^-1) compared to NORM (0.35 ± 0.08g.min-1; <i>P</i> < 0.001; <i>d</i> =1.24) was observed. …”

Understanding the Mechanism of Diabetes Mellitus in LRBA-Deficient Patient by Iman Hawari (12561958)

“…However, aggregates related to CD71+ erythroid cells, which have immunosuppressive characteristic, were highly upregulated in the LRBA-deficient patients.Experimental analysis of MIN6 cell in culture revealed that in siRNA-mediated-knockdown of LRBA revealed a significant decreased intracellular proinsulin and mature insulin inside β-cells in comparison so the wild type cells. …”

Nonlinear Control of Brushless Dual-Fed Induction Generator With a Flywheel Energy Storage System for Improved System Performance by Mohammed Hamidat (3722086)

“…After optimization, the SMC settling time was significantly reduced from 0.7 seconds to 19.97 milliseconds, achieving a 96.9% improvement in response speed, while its steady-state error decreased from 0.48 to 0.06, marking an 87.5% reduction in tracking error. …”

Characterizing the Protein Coding RNAs (mRNA) and Long Non-Coding RNAs (LncRNAs) in Chemo Resistant Triple Negative Breast Cancer by Ahmed Mahmoud Mahmoud Mohamed Kardousha (19926096)

“…Findings from our in vitro model were then validated using RNA-Seq data from the PRJNA607780 xenograft dataset. …”

SAR and molecular mechanism studies of monoamine oxidase inhibition by selected chalcone analogs by Raed Shalaby (3756112)

“…Our results revealed that these selected chalcone analogs increased dopamine levels in the rat hepatoma (H4IIE) cells and decreased the relative mRNA expression of the MAO-B enzyme.…”

The Impact of COVID-19 on the HIV Cascade of Care in Botswana – An Interrupted Time Series by Alice Sehurutshi (21842696)

“…In multivariable Poisson interrupted time series regression, the COVID-19 lockdown was associated with a 27% decrease in the monthly numbers of HIV tests (IRR 0.73, 95%CI 0.72–0.73), a 25% decrease in HIV positive tests (IRR 0.75, 95%CI 0.71–0.79), and a 43% reduction in ART initiations (IRR 0.57, 95%CI 0.55–0.60). …”

Long non-coding RNA MALAT1 promotes steatosis in HepG2 cells by modulating target gene expression in presence of Exendin-4 by Olfa Khalifa (10914452)

“…The transcriptomic profiling was performed using total RNA extracted from untreated, steatotic and Ex-4-treated steatotic, cells. …”

Comprehensive Transcriptome and Pathway Analyses Revealed Central Role for Fascin in Promoting Triple-Negative Breast Cancer Progression by Rayanah Barnawi (8737584)

“…Fascin, an actin bundling protein, was identified as a key regulator of many signaling pathways that contribute to breast cancer progression. Herein, fascin ShRNA was used to generate stable fascin knockdown (FSCN1^KD) in the MDA-MB-231 TNBC cell line and then were subjected to comprehensive mRNA and miRNA transcriptome analysis. …”

Immunoprofile of childhood diabetes by Meritxell Espino-Guarch (15430868)

SARS‐CoV‐2 infection triggers more potent antibody‐dependent cellular cytotoxicity (ADCC) responses than mRNA‐, vector‐, and inactivated virus‐based COVID‐19 vaccines by Hadeel T. Zedan (12535521)

“…We analyzed ADCC activity targeting SARS‐CoV‐2 spike (S) and nucleocapsid (N) proteins in convalescent sera following WT SARS‐CoV‐2‐infection (<i>n</i> = 91), including symptomatic and asymptomatic infections, omicron‐infection (<i>n</i> = 8), COVID‐19 vaccination with messenger RNA‐ (mRNA)‐ (BNT162b2 or mRNA‐1273, <i>n</i> = 77), adenovirus vector‐ (<i>n</i> = 41), and inactivated virus‐ (<i>n</i> = 46) based vaccines, as well as post‐mRNA vaccination BTI caused by omicron (<i>n</i> = 28). …”

The effect of Ramadan focused education on patients with type 2 diabetes: A systematic review and meta-analysis by Hoda Gad (6470522)

“…It also identifies a lack of head to head studies and limited observational studies with adequately assessed end-points.…”