Development of a web-based high-throughput marker design program: CAPS (cleaved amplified polymorphic sequence) Maker.

Background: Genetic markers are crucial for breeding crops with desired agronomic traits, and their development can be expedited using next-generation sequencing (NGS) and bioinformatics tools. Numerous tools have been developed to design molecular markers, enhancing the convenience, accuracy, and efficiency of molecular breeding. However, these tools primarily focus on genetic variants within short user-input sequences, despite the availability of extensive omics data for genomic variants.

Dysregulation of mRNA expression by hsa-miR-186 overexpression in arsenic-induced skin carcinogenesis.

Dysregulated miRNA expression contributes to development of arsenic-induced cutaneous squamous cell carcinoma (cSCC). hsa-miR-186 (miR-186) is overexpressed in arsenical cSCC tissues as well as in preclinical cell line model of arsenical cSCC. Simultaneous miR-186 overexpression and chronic inorganic trivalent arsenite (iAs; 100 nM) exposure transformed human HaCaT cell line preferentially over miR-186 overexpression or iAs exposure alone.

Unraveling Serial Degradation Pathways of Supported Catalysts through Reliable Electrochemical Liquid-Cell TEM Analysis.

Electrochemical liquid-cell transmission electron microscopy (e-LCTEM) offers great potential for investigating the structural dynamics of nanomaterials during electrochemical reactions. However, challenges arise from the difficulty in achieving the optimal electrolyte thickness, leading to inconsistent electrochemical responses and limited spatial resolution. In this study, we present advanced e-LCTEM techniques tailored for tracking Pt/C degradation under electrochemical polarization at short intervals with high spatial resolution.

Identifying meaningful aspects of health and concepts of interest for assessment in systemic lupus erythematosus: implications for digital clinical measure development.

Objectives: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease with heterogeneous clinical manifestations which significantly impacts the daily lives of patients. Herein, we aimed to (i) investigate patients' perspectives on and experience with SLE; (ii) identify meaningful aspects of health (MAHs) and concepts of interest (COIs) in SLE that could be evaluated using digital clinical measures (DCMs); and (iii) identify target DCMs for their assessment.

Methods: A mixed-methods, multistep approach was deployed for (i) exploring patients' experience with SLE through a social media listening study and focused group discussions with patients; (ii) mapping patients' experiences to define MAHs and identify COIs measurable using DCMs; (iii) selecting DCMs for the target COIs; and (iv) identifying types of wearable sensors for measuring COIs in the patients.

Accurate predictions of SARS-CoV-2 infectivity from comprehensive analysis.

An unprecedented amount of SARS-CoV-2 data has been accumulated compared with previous infectious diseases, enabling insights into its evolutionary process and more thorough analyses. This study investigates SARS-CoV-2 features as it evolved to evaluate its infectivity. We examined viral sequences and identified the polarity of amino acids in the receptor binding motif (RBM) region.