Locus coeruleus vulnerability to tau hyperphosphorylation in a rat model.

Post-mortem investigations indicate that the locus coeruleus (LC) is the initial site of hyperphosphorylated pretangle tau, a precursor to neurofibrillary tangles (NFTs) found in Alzheimer's disease (AD). The presence of pretangle tau and NFTs correlates with AD progression and symptomatology. LC neuron integrity and quantity are linked to cognitive performance, with degeneration strongly associated with AD.

Methylation Mesa define functional regulatory elements for targeted gene activation.

DNA methylation and mRNA expression correlations are often presented with inconsistent evidence supporting causal regulation. We hypothesized that causal regulatory methylation elements would exhibit heightened demethylation sensitivity. To investigate, we analyzed 20 whole-genomic bisulfite sequenced samples before and after demethylation and identified narrow-width (45-294 bp) elements within a short plateau, termed Methylation Mesa (MM).

ColocZStats: a z-stack signal colocalization extension tool for 3D slicer.

Confocal microscopy has evolved to be a widely adopted imaging technique in molecular biology and is frequently utilized to achieve accurate subcellular localization of proteins. Applying colocalization analysis on image z-stacks obtained from confocal fluorescence microscopes is a dependable method of revealing the relationship between different molecules. In addition, despite the established advantages and growing adoption of 3D visualization software in various microscopy research domains, there have been few systems that can support colocalization analysis within a user-specified region of interest (ROI).

MethMotif.Org 2024: a database integrating context-specific transcription factor-binding motifs with DNA methylation patterns.

MethMotif (https://methmotif.org) is a publicly available database that provides a comprehensive repository of transcription factor (TF)-binding profiles, enriched with DNA methylation patterns. In this release, we have enhanced the platform, expanding our initial collection to over 700 position weight matrices (PWM), all of which include DNA methylation profiles.

Correspondence on NanoVar's performance outlined by Jiang T. et al. in "Long-read sequencing settings for efficient structural variation detection based on comprehensive evaluation".

A recent paper by Jiang et al. in BMC Bioinformatics presented guidelines on long-read sequencing settings for structural variation (SV) calling, and benchmarked the performance of various SV calling tools, including NanoVar. In their simulation-based benchmarking, NanoVar was shown to perform poorly compared to other tools, mostly due to low SV recall rates.