MicroRNA in disease regulation

The paper identifies a switch from DICER-dependent to Argonaute-mediated miRNA biogenesis in cancer, showing that non-canonical processing of oncogenic miRNAs promotes cancer progression.

This study identifies miRNA-mRNA hub genes and natural drug candidates for lung carcinoma using in silico analysis of gene expression data and molecular docking.

The paper shows XRN2 degrades specific tumor suppressor miRNAs, affecting cancer cell behavior and patient survival.

The paper investigates cis regulation of viral microRNA clusters in KSHV, showing that specific pre-miRNAs influence the expression of the entire cluster and can be targeted to inhibit miRNA production.

This study examines miR-202 and trib-1 expression in HepG2 cells under metabolic and inflammatory stress, finding decreased trib-1 and increased miR-202 levels.

The paper uses EISA to distinguish post-transcriptional regulation by miRNAs from transcriptional changes in pig tissues, identifying miRNA-target interactions in muscle and adipose tissues.

The paper identifies primary miRNAs that coordinate the biogenesis of secondary miRNAs to regulate immune response in activated macrophages.

The paper identifies non-redundant microRNAs in breast cancer subtypes and links them to cancer-related biological functions through co-expression networks.

This study uses high-throughput miRNA-sequencing to analyze miRNA expression in first and third trimester human placentae, identifying differentially expressed and stable miRNAs across gestation.

The paper identifies miR-124's role in promoting neuronal maturity by enhancing target gene expression through interaction with ELAVL3.

The paper uses machine learning to analyze miRNA-target interactions across species, finding that transferability depends on seed family composition and evolutionary distance.

This paper identifies pqn-59 as a factor that antagonizes miRNA-mediated repression and promotes stress granule formation in C. elegans, contributing to regulatory bistability in developmental gene networks.

This study identifies two independent mechanisms by which TRIM71 inhibits let-7 miRNA maturation and activity, impacting developmental and oncogenic processes.

The paper estimates miRNA activity from single-cell RNA sequencing data by analyzing motif enrichment, validated on bulk and single-cell datasets.

The paper performs an in-silico analysis of HCC omics data to show microRNAs can act as both tumor suppressors and oncomirs through complex regulatory interactions.

The paper identifies miR-2392 as a miRNA involved in SARS-CoV-2 infection, showing its role in inflammation, glycolysis, and hypoxia, and develops a miRNA-based therapeutic targeting it.

The paper identifies a Drosha-independent miRNA, miR-snaR, derived from the snaR-A non-coding RNA, which promotes cancer cell migration by targeting NME1.

The paper systematically quantifies microRNA affinities in vivo using mouse embryonic stem cells and finds that miRNA target affinities vary widely and correlate with expression levels.

The paper introduces TIE, a database of miRNA isoforms from tumor samples, demonstrating their functional relevance and providing tools for analysis.

The paper shows that GW182 proteins restrict the export of used miRNAs via extracellular vesicles in cancer cells, independent of HuR, and that this process is linked to miRNA turnover and cellular senescence.

The paper uses a fluorescent sensor and CRISPR-Cas9 screening to study miR-200b/c activity and regulation during EMT, identifying upstream regulators and a role for metabolic enzymes.

The paper introduces miTAR, a hybrid deep learning model for miRNA target prediction, achieving higher accuracy than existing methods on two datasets.

This study characterizes the endoribonuclease activity of XRN-2 in C. elegans, showing its critical role in miRNA turnover and survival of dauer worms, and its importance in rRNA maturation for translation.

This study identifies differentially expressed tissue micro-RNAs associated with prognosis in colorectal cancer through a systematic review of 115 articles.

The paper identifies Caenorhabditis species lacking the let-7 microRNA and shows the heterochronic gene network remains functional without it.

The paper shows that the decay of the mir-35 miRNA family in C. elegans is seed sequence-dependent and selectively regulates all members of the family during development.

miRCoop identifies synergistic miRNA pairs that induce strong repression on target mRNAs when combined, using kernel-based interaction tests and applies it to kidney tumor data to find 66 putative triplets.

The paper identifies a microRNA turnover complex in C. elegans and shows it can switch between ATP-dependent and ATP-independent modes of operation.

feamiR uses genetic algorithms to select features for predicting miRNA-mRNA interactions, improving accuracy by analyzing seed, compensatory, and flanking regions.