Integrated Profiling of Extracellular Vesicle microRNA Impact on Trabecular Meshwork mRNA Expression: Insights From Microarray Analysis.

Purpose: Extracellular vesicles (EVs) secreted by non-pigmented ciliary epithelial (NPCE) cells under oxidative stress may contribute to primary open-angle glaucoma (POAG) pathogenesis by altering gene expression in human trabecular meshwork (HTM) cells. This study investigated the impact of microRNAs (miRNAs) carried by NPCE-derived EVs on HTM cell gene expression under oxidative stress conditions.

Methods: NPCE cells were exposed to oxidative stress, and EVs were isolated from control and stressed cells.

Identification and developmental profiling of microRNAs in the acoel worm .

The acoel worm has recently emerged as a model organism for studying whole-body regeneration and embryonic development. Previous studies suggest that post-transcriptional mechanisms likely play important roles in whole-body regeneration. Here, we establish a resource for studying microRNA-mediated gene regulation, a major aspect of post-transcriptional control in animals.

Benchmarking the negatives: Effect of negative data generation on the classification of miRNA-mRNA interactions.

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression post-transcriptionally. In animals, this regulation is achieved via base-pairing with partially complementary sequences on mainly 3' UTR region of messenger RNAs (mRNAs). Computational approaches that predict miRNA target interactions (MTIs) facilitate the process of narrowing down potential targets for experimental validation.

Empowering prediction of miRNA-mRNA interactions in species with limited training data through transfer learning.

MicroRNAs (miRNAs) play a crucial role in mRNA regulation. Identifying functionally important mRNA targets of a specific miRNA is essential for uncovering its biological function and assisting miRNA-based drug development. Datasets of high-throughput direct bona fide miRNA-target interactions (MTIs) exist only for a few model organisms, prompting the need for computational prediction.

Circulating isomiRs May Be Superior Biomarkers Compared to Their Corresponding miRNAs: A Pilot Biomarker Study of Using isomiR-Ome to Detect Coronary Calcium-Based Cardiovascular Risk in Patients with NAFLD.

Circulating miRNAs are increasingly being considered as biomarkers in various medical contexts, but the value of analyzing isomiRs (isoforms of canonical miRNA sequences) has not frequently been assessed. Here we hypothesize that an in-depth analysis of the full circulating miRNA landscape could identify specific isomiRs that are stronger biomarkers, compared to their corresponding miRNA, for identifying increased CV risk in patients with non-alcoholic fatty liver disease (NAFLD)-a clinical unmet need. Plasma miRNAs were sequenced with next-generation sequencing (NGS).

Interplay between hippocampal TACR3 and systemic testosterone in regulating anxiety-associated synaptic plasticity.

Tachykinin receptor 3 (TACR3) is a member of the tachykinin receptor family and falls within the rhodopsin subfamily. As a G protein-coupled receptor, it responds to neurokinin B (NKB), its high-affinity ligand. Dysfunctional TACR3 has been associated with pubertal failure and anxiety, yet the mechanisms underlying this remain unclear.

OffRisk: a docker image for annotating CRISPR off-target sites in the human genome.

Summary: The CRISPR-Cas9 system has been adapted to achieve targeted genome editing as well as transcriptional control by customizing 20-nt guide RNA (gRNA) molecules for desired regions in the target genome. Designing gRNAs must consider nonspecific and unintended binding, known as off-targets, since these may have potentially harmful effects. To assist in gRNA design, we have developed OffRisk.

A large-scale phylogeny-guided analysis of pseudogenes in bacterium.

Pseudogenes, once considered "junk DNA" based on the incorrect assumption that the absence of full coding potential means a complete lack of functionality, have recently become a subject of significant interest in the scientific community. Concurrently, it is widely assumed that bacterial genomes are compact and have a high density of coding genes with little room for non-coding genes, including pseudogenes. A key aspect of genome annotation is the correct identification of genes and the distinction between coding genes and pseudogenes, as it directly impacts functional and comparative genomics studies.

Visceral adipocyte size links obesity with dysmetabolism more than fibrosis, and both can be estimated by circulating miRNAs.

Objective: In obesity, adipocyte hypertrophy is detrimental to health, but its' interrelation with fibrosis in the visceral adipose tissue (VAT) depot remains unclear. Because VAT is less accessible via biopsy, biomarkers for VAT quality are needed. The authors hypothesized that VAT adipocyte size and fibrosis are interrelated and can be estimated by circulating microRNAs (circ-miRNAs), contributing to subphenotyping obesity.

Circulating miRNAs Detect High vs Low Visceral Adipose Tissue Inflammation in Patients Living With Obesity.

Context: The severity of visceral adipose tissue (VAT) inflammation in individuals with obesity is thought to signify obesity subphenotype(s) associated with higher cardiometabolic risk. Yet, this tissue is not accessible for direct sampling in the nonsurgical patient.

Objective: We hypothesized that circulating miRNAs (circ-miRs) could serve as biomarkers to distinguish human obesity subgroups with high or low extent of VAT inflammation.

sInterBase: a comprehensive database of Escherichia coli sRNA-mRNA interactions.

Summary: sInterBase is a comprehensive and easy-to-operate web-based platform for mining experimentally identified sRNA-mRNA interactions in Escherichia coli. Interactions in the database are annotated with an interaction duplex and a set of descriptive features. sInterBase provides advanced functionality, such as flexible search based on various criteria, statistical analysis via charts, browsing, and downloading interactions for further use.

Visceral Adipose Tissue E2F1-miRNA206/210 Pathway Associates with Type 2 Diabetes in Humans with Extreme Obesity.

Up-regulated expression of transcription-factor E2F1 in human visceral adipose tissue (VAT) characterizes a dysmetabolic obesity sub-phenotype. An E2F1-miRNA network has been described in multiple cancers. Here we investigated whether elevated VAT-E2F1 in obesity is associated with VAT-miRNA alterations similar to, or distinct from, those described in cancer.

Whole-Genome Inter-Sex Variation in Russian Sturgeon ().

The Russian sturgeon (, AG) is an endangered fish species increasingly raised on fish farms for black caviar. Understanding the process of sex determination in AG is, therefore, of scientific and commercial importance. AG lacks sexual dimorphism until sexual maturation and has a predominantly octoploid genome without a definite sex chromosome.

Global profiling and annotation of templated isomiRs dynamics across development.

microRNAs (miRNAs) are small non-coding RNAs that regulate gene expression through translational repression and mRNA destabilization. During canonical miRNA biogenesis, several miRNA isoforms, or isomiRs, are produced from a single precursor miRNA. Templated isomiRs are generated through Drosha or Dicer cleavage at alternate positions on either the primary or the precursor miRNAs, generating truncated or extended 5' and/or 3' miRNA ends.

Functional identification of microRNA-centered complexes in C. elegans.

microRNAs (miRNAs) are crucial for normal development and physiology. To identify factors that might coordinate with miRNAs to regulate gene expression, we used 2'O-methylated oligonucleotides to precipitate Caenorhabditis elegans let-7, miR-58, and miR-2 miRNAs and the associated proteins. A total of 211 proteins were identified through mass-spectrometry analysis of miRNA co-precipitates, which included previously identified interactors of key miRNA pathway components.

Critical contribution of 3' non-seed base pairing to the in vivo function of the evolutionarily conserved let-7a microRNA.

Base pairing of the seed region (g2-g8) is essential for microRNA targeting; however, the in vivo function of the 3' non-seed region (g9-g22) is less well understood. Here, we report a systematic investigation of the in vivo roles of 3' non-seed nucleotides in microRNA let-7a, whose entire g9-g22 region is conserved among bilaterians. We find that the 3' non-seed sequence functionally distinguishes let-7a from its family paralogs.

Screening by deep sequencing reveals mediators of microRNA tailing in C. elegans.

microRNAs are frequently modified by addition of untemplated nucleotides to the 3' end, but the role of this tailing is often unclear. Here we characterize the prevalence and functional consequences of microRNA tailing in vivo, using Caenorhabditis elegans. MicroRNA tailing in C.

Comprehensive machine-learning-based analysis of microRNA-target interactions reveals variable transferability of interaction rules across species.

Background: MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression post-transcriptionally via base-pairing with complementary sequences on messenger RNAs (mRNAs). Due to the technical challenges involved in the application of high-throughput experimental methods, datasets of direct bona fide miRNA targets exist only for a few model organisms. Machine learning (ML)-based target prediction models were successfully trained and tested on some of these datasets.

Markers of Genetic Variation in Blue Gourami () as a Model for Labyrinth Fish.

Markers of genetic variation between species are important for both applied and basic research. Here, various genes of the blue gourami (, suborder Anabantoidei, a model labyrinth fish), many of them involved in growth and reproduction, are reviewed as markers of genetic variation. The genes encoding the following hormones are described: kisspeptins 1 and 2, gonadotropin-releasing hormones 1, 2, and 3, growth hormone, somatolactin, prolactin, follicle- stimulating hormone and luteinizing hormone, as well as mitochondrial genes encoding cytochrome b and 12S rRNA.

minMLST: machine learning for optimization of bacterial strain typing.

Motivation: High-resolution microbial strain typing is essential for various clinical purposes, including disease outbreak investigation, tracking of microbial transmission events and epidemiological surveillance of bacterial infections. The widely used approach for multilocus sequence typing (MLST) that is based on the core genome, cgMLST, has the advantage of a high level of typeability and maximal discriminatory power. Yet, the transition from a seven loci-based scheme to cgMLST involves several challenges, that include the need by some users to maintain backward compatibility, growing difficulties in the day-to-day communication within the microbiology community with respect to nomenclature and ontology, issues with typeability, especially if a more stringent approach to loci presence is used, and computational requirements concerning laboratory data management and sharing with end-users.

The Pseudomonas aeruginosa accessory genome elements influence virulence towards Caenorhabditis elegans.

Background: Multicellular animals and bacteria frequently engage in predator-prey and host-pathogen interactions, such as the well-studied relationship between Pseudomonas aeruginosa and the nematode Caenorhabditis elegans. This study investigates the genomic and genetic basis of bacterial-driven variability in P. aeruginosa virulence towards C.

HRPK-1, a conserved KH-domain protein, modulates microRNA activity during Caenorhabditis elegans development.

microRNAs (miRNAs) are potent regulators of gene expression that function in diverse developmental and physiological processes. Argonaute proteins loaded with miRNAs form the miRNA Induced Silencing Complexes (miRISCs) that repress gene expression at the post-transcriptional level. miRISCs target genes through partial sequence complementarity between the miRNA and the target mRNA's 3' UTR.

MicroRNA 146-5p, miR-let-7c-5p, miR-221 and miR-345-5p are differentially expressed in Respiratory Syncytial Virus (RSV) persistently infected HEp-2 cells.

Many viruses can establish non-cytolytic, chronic infections in host cells. Beyond the intrinsically interesting questions of how this long-term parasitism is achieved, persistently infected cells can be useful to study virus-host interactions. MicroRNAs (miRNAs) are a class of noncoding RNAs transcribed from the genomes of all multicellular organisms and some viruses.

MiRNA-124 is a link between measles virus persistent infection and cell division of human neuroblastoma cells.

Measles virus (MV) infects a variety of lymphoid and non-lymphoid peripheral organs. However, in rare cases, the virus can persistently infect cells within the central nervous system. Although some of the factors that allow MV to persist are known, the contribution of host cell-encoded microRNAs (miRNA) have not been described.