MicroRNA in disease regulation

The paper identifies that viral miRNAs target host apoptosis-related genes to suppress cell death, enhancing viral survival.

The paper identifies 112 miRNA combinations that accurately distinguish healthy breast tissue from breast carcinoma using a machine learning approach that generates sets of equivalent predictive models.

The paper shows that translation is required for miRNA-dependent transcript decay, as non-translated lncRNAs are minimally affected by miRNA loss, while translated transcripts are destabilized.

The paper analyzes somatic mutations in miRNA biogenesis genes across cancer types and identifies their impact on miRNA levels and patient survival.

This study shows miR-92a regulates apoptosis in tilapia liver under hypoxia by targeting CaSR, reducing p53 and caspase-3/8 expression and alleviating liver damage.

This study shows that miR-210 knockout increases dendritic density and behavioural flexibility in mice by altering neuronal metabolism and oxidative stress.

This study shows that miR-218 expression in adolescence predicts and mediates vulnerability to stress in adulthood by regulating Dcc expression in the medial prefrontal cortex.

This study identifies 8 putative SARS-CoV-2 miRNAs and their potential human gene targets, showing down-regulation of these targets in infected samples.

The paper develops a method to identify 3' end modifications of miRNAs in extracellular biofluids and finds that uridylation levels distinguish biofluid types better than overall miRNA expression.

The paper identifies and characterizes over 10,000 somatic mutations in miRNA genes across 10,000 cancer/normal pairs, showing some genes are overmutated in Pan-Cancer and specific cancers, and correlate with miRNA expression, staging, and survival.

This paper introduces a pseudo-time causality method to identify miRNA-mRNA interactions during biological processes, showing improved performance over existing methods in both single-cell and bulk data.

This study identifies miR-375 as a key regulator of intestinal crypt homeostasis, showing its role in stem cell proliferation, tuft cell abundance, and resistance to infection and cancer.

The paper uses tensor decomposition to identify miRNA signatures and associated genes in kidney renal clear cell carcinoma, finding 23 genes correlated with patient survival and demonstrating better performance than traditional methods.

The paper identifies TruB1 as a regulator of let-7 miRNA maturation and function, showing it enhances let-7 processing through direct interaction with pri-let-7.

The paper identifies miR-21-3p as a key miRNA potentially involved in coronavirus-host interactions through computational prediction and analysis of miRNA sequencing data.

The paper identifies key non-coding RNAs involved in fluid shear stress and reactive oxygen species-mediated colon cancer metastasis through network analysis and survival analysis.

LOMDA predicts miRNA-disease associations using linear optimization with functional and disease similarity data, achieving high AUC and accuracy in cross-validation.

This paper introduces CARP, a method combining RNA-seq and PRO-seq to distinguish direct miRNA targets from downstream regulatory changes, showing improved accuracy and reduced false positives.

The paper identifies miRNAs and mRNAs involved in LUAD by analyzing miRNA-mRNA regulatory networks and PPI networks from GEO datasets.

The paper analyzes miRNA and isomiR variation in human monocytes across populations and infection, finding population differences driven by non-genetic factors and limited genetic control.

The paper identifies plasma microRNAs as predictive biomarkers for liver fibrosis and early cirrhosis in HBV-associated disease, showing their ability to differentiate between disease stages.

This paper presents a high-sensitivity targeted method to measure pri-miRNA processing efficiency in clinical samples and identifies 24 microRNAs with significant changes in processing efficiency between normal liver and hepatocellular carcinoma.

The paper identifies miR-140-3p as more abundant in human cartilage and shows its isomiRs have distinct functional targets.

The paper introduces sTAM, a tool for miRNA-set level disease biomarker discovery, showing its effectiveness in distinguishing cancers and predicting cerebrovascular disorders.

The paper identifies miRNA targets using an unbiased statistical approach and finds that noncanonical targeting contributes significantly to miRNA regulation.

The paper shows that two microRNAs from the miR-35 and miR-51 families are sufficient for normal embryogenesis in C. elegans, rescuing developmental defects caused by Microprocessor depletion.

The paper identifies five microRNAs that co-regulate genes in the HIF family and coagulation pathway through in-silico analysis, suggesting their role in hypoxia-induced coagulation.

The paper shows that low miRNA abundance in mammalian oocytes disables the miRNA pathway, as demonstrated by functional assays and cross-species analysis.

RPRH infers potential roles of plant miRNAs in humans and profiles their regulatory functions using a database of 10414 miRNAs and 18062 annotations.

PUMA integrates miRNA target predictions with gene expression data to identify tissue-specific miRNA regulatory interactions and their disease relevance.