Combined Cell-Free DNA Screening for Aneuploidies and Selected Single-Gene Disorders for Pregnancies With Sonographically Detected Fetal Anomalies: Detection Rate and Residual Risk.

Objectives: To determine the additional detection rate (DR) and the residual risk (RR) of combined cell-free DNA (cfDNA) screening for aneuploidies (not including copy number variants) and 25 dominant single-gene disorders (SGD) in pregnancies with sonographic abnormalities.

Method: One hundred sixteen singleton pregnant women with abnormal fetal ultrasounds from week 12 were included in the study. They underwent combined cfDNA analysis, while exome sequencing and karyotyping were performed as reference standards.

Single nucleotide polymorphisms of CFAP43 and TEX14 associated with idiopathic male infertility in a Vietnamese population.

Male infertility is a multifactorial disease due to spermatogenesis impairment, with etiology remaining unknown for roughly one-third of infertile cases. Several studies have demonstrated that genetic variants are male infertility risk factors. CFAP43 and TEX14 are involved in the spermatogenesis process.

PanKA: Leveraging population pangenome to predict antibiotic resistance.

Machine learning has the potential to be a powerful tool in the fight against antimicrobial resistance (AMR), a critical global health issue. Machine learning can identify resistance mechanisms from DNA sequence data without prior knowledge. The first step in building a machine learning model is a feature extraction from sequencing data.

Advances in glycosyltransferase-mediated glycodiversification of small molecules.

Currently, numerous glycosides have been synthesized and used in clinical applications, neutraceuticals, cosmetics, and food processing. Structurally, a glycoside is composed of aglycone attaching to one or several sugar moieties so-called glycone. It is found that biochemical or biopharmaceutical properties of glycoside are mainly determined by its sugar part and thereby alternation of this glycone resulting in novel structure and characteristics as well.

Efficient inference of large prokaryotic pangenomes with PanTA.

Pangenome inference is an indispensable step in bacterial genomics, yet its scalability poses a challenge due to the rapid growth of genomic collections. This paper presents PanTA, a software package designed for constructing pangenomes of large bacterial datasets, showing unprecedented efficiency levels multiple times higher than existing tools. PanTA introduces a novel mechanism to construct the pangenome progressively without rebuilding the accumulated collection from scratch.

Soil-sediment connectivity through Bayesian source tracking in an urban naturalised waterway via microbial and isotopic markers.

Riverine sediments are important habitats for microbial activity in naturalised waterways to provide potential ecosystem services that improve stormwater quality. Yet, little is known about the sources of these sediment microbes, and the factors shaping them. This study investigated the dominant source of sediments in a tropical naturalised urban waterway, using two Bayesian methods for microbial and isotopic C/N markers concurrently.

AMRomics: a scalable workflow to analyze large microbial genome collections.

Whole genome analysis for microbial genomics is critical to studying and monitoring antimicrobial resistance strains. The exponential growth of microbial sequencing data necessitates a fast and scalable computational pipeline to generate the desired outputs in a timely and cost-effective manner. Recent methods have been implemented to integrate individual genomes into large collections of specific bacterial populations and are widely employed for systematic genomic surveillance.

Hydrophobic binary mixtures containing amphotericin B as lipophilic solutions for the treatment of cutaneous leishmaniasis.

Cutaneous leishmaniasis, caused by Leishmania parasites, requires treatments with fewer side effects than those currently available. The development of a topical solution based on amphotericin B (AmB) was pursued. The considerable interest in deep eutectic solvents (DESs) and their remarkable advantages inspired the search for a suitable hydrophobic excipient.

AMRViz enables seamless genomics analysis and visualization of antimicrobial resistance.

We have developed AMRViz, a toolkit for analyzing, visualizing, and managing bacterial genomics samples. The toolkit is bundled with the current best practice analysis pipeline allowing researchers to perform comprehensive analysis of a collection of samples directly from raw sequencing data with a single command line. The analysis results in a report showing the genome structure, genome annotations, antibiotic resistance and virulence profile for each sample.

Pasa: leveraging population pangenome graph to scaffold prokaryote genome assemblies.

Whole genome sequencing has increasingly become the essential method for studying the genetic mechanisms of antimicrobial resistance and for surveillance of drug-resistant bacterial pathogens. The majority of bacterial genomes sequenced to date have been sequenced with Illumina sequencing technology, owing to its high-throughput, excellent sequence accuracy, and low cost. However, because of the short-read nature of the technology, these assemblies are fragmented into large numbers of contigs, hindering the obtaining of full information of the genome.

Does tourism reduce the shadow economy? An international evidence.

This paper investigates one of the positive contributions of tourism to the economy through the lens of its influences on the shadow economy. Specifically, our study analyzes the effects of five indicators of tourism consumption (including domestic tourism spending, international travel and tourism consumption, business tourism spending, leisure tourism spending, and outbound tourism spending on the percentage of shadow economy to GDP) in 129 economies between 1996 and 2015. We find interesting results that contribute to the existing literature about tourism economics.

Genome characterization of sp. strain VNUA74, a potential biocontrol against pathogenic fungus spp.

The whole genome sequence of sp. strain VNUA74, isolated from soil in a banana farm in Vietnam and exhibited fungicidal effects on banana spp., was sequenced by PacBio RS II and DNBseq sequencing platforms.

Complete genome sequence of strain VNUA116, a potential biocontrol against phytopathogenic fusarium wilt fungus f. sp. .

Here, we present the whole-genome sequence of strain VNUA116 was obtained by combining sequencing data from both PacBio RS II and DNBseq platforms. The complete circular genome is 8,306,919 bp with a GC content of 72.49%.

Complete genome sequence of sp. strain VNUA24, a potential antifungal bacterium isolated from soil.

species are important resources for secondary metabolites, including antimicrobial compounds. The sp. strain VNUA24 was isolated from a soil sample in Vietnam.

CYLD stimulates macrophage phagocytosis of leukemic cells through STAT1 signalling in acute myeloid leukemia.

Acute myeloid leukemia (AML) is the most aggressive hematopoietic malignancy characterized by uncontrolled proliferation of myeloid progenitor cells within the bone marrow. Tumor suppressor cylindromatosis (CYLD) is a deubiquitinating enzyme, which suppresses inflammatory response in macrophages. Macrophages have a central role in the defense against foreign substances and circulating cancer cells by their professional phagocytic capacity.

Effects of Vinblastine and Vincristine on the function of chronic myeloid leukemic cells through expression of A20 and CYLD.

Chronic myelogenous leukemia (CML) is characterised by the translocation of regions of the BCR and ABL genes, leading to the fusion gene BCR-ABL forming the Philadelphia (Ph) chromosome. Vinblastine (Vinb) and Vincristine (Vinc) are Vinca alkaloids and frequently used in combination chemotherapy in leukemias and lymphomas. Deubiquitinating enzyme (DUB) genes such as A20, Otubain 1 and CYLD are known as inhibitors of functional activation of immune cells mediated through the NF-κB/STAT pathway.

Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions.

Predicting drug-drug interactions (DDIs) is the problem of predicting side effects (unwanted outcomes) of a pair of drugs using drug information and known side effects of many pairs. This problem can be formulated as predicting labels (i.e.

A look beyond climate risk exposure: the impact of incapacity to cope with natural hazards on financial development.

We provide a comprehensive cross-country analysis on the impact of national incapacity to cope with natural hazards (i.e., social shocks, political stability, health care, infrastructure, and material security needed to reduce the harmful effects of natural disasters) on financial development.

UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping.

Recent advances in unmanned aerial vehicles (UAV), mini and mobile sensors, and GeoAI (a blend of geospatial and artificial intelligence (AI) research) are the main highlights among agricultural innovations to improve crop productivity and thus secure vulnerable food systems. This study investigated the versatility of UAV-borne multisensory data fusion within a framework of multi-task deep learning for high-throughput phenotyping in maize. UAVs equipped with a set of miniaturized sensors including hyperspectral, thermal, and LiDAR were collected in an experimental corn field in Urbana, IL, USA during the growing season.

Insecticidal and Feeding Deterrent Effects of L. and on L. Larva.

<b>Background and Objective:</b> <i>Pieris rapae</i> L., is one of the most widespread and destructive pests of cruciferous plants. At present, synthetic chemical insecticide is still the main approach to control this pest despite several disadvantages to human health and the wildlife environment as well as biological resistance.

The impact of financial development on ecological footprints of nations.

Financial development is an important driver of technological progress in economic development. Its role in environmental change has not been well examined. We endeavor to examine the non-linear effects of multi-dimensional financial development measures on four kinds of ecological footprints in a global sample of 124 economies.