Publications by authors named "Chen Bar"
Loss of nuclear TDP-43 splicing activity is a common feature across neurodegenerative diseases including amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD), but its relevance to Alzheimer's disease (AD) remains unclear. Here, we show that TDP-43 pathology in AD is broadly associated with splicing abnormalities, including aberrant splicing of amyloid precursor protein (APP). TDP-43 drives the formation of elongated APP isoforms, disrupting alternative splicing across ALS, FTLD-TDP and AD, providing a compelling mechanism for a long-standing observation of APP isoform dysregulation.
View Article and Find Full Text PDFEmergent cesarean section during active labor-does cervical dilatation matter?
Arch Gynecol Obstet
December 2024
Purpose: To compare the immediate and late complications associated with emergent cesarean sections (CS) performed during the first and second stages of active labor.
Methods: We conducted a retrospective analysis of electronic medical records from a single academic center, including data from 577 patients who underwent emergent cesarean sections at 4 cm or more of cervical dilatation. Patients were divided into two groups: those who had CS during the first stage of labor (4-9 cm dilatation) and those who had CS at complete dilatation (10 cm).
NAGase sensing in 3% milk: FET-based specific and label-free sensing in ultra-small samples of high ionic strength and high concentration of non-specific proteins.
Biosens Bioelectron
August 2024
Article Synopsis
- - The study focuses on using field-effect meta-nano-channel biosensors (MNC biosensors) to detect N-acetyl-beta-D-glucosaminidase (NAGase), an enzyme linked to infections in milk cows, in very small samples like 0.5 μL drops of milk.
- - The biosensor achieves highly specific and label-free sensing of NAGase with an impressive detection limit of 30.3 aM, spanning a dynamic range of eleven orders of magnitude, indicating strong linearity and sensitivity.
- - Two main findings highlight that despite the expected limitations due to the ionic strength and non-specific protein interactions in milk, the sensor works effectively, suggesting more research is needed on how non-specific
Towards machine learning for heterogeneous inverse scattering in 3D microscopy.
Opt Express
March 2022
Article Synopsis
- Light scattering through nonuniform media helps analyze particle densities, particularly in microscopy, where coherent speckle effects play a crucial role.
- The study focuses on using realistic speckle simulation to improve the learning process for volumetric reconstruction of scattering parameters.
- It examines various aspects of network design, such as architecture and training data, aiming to advance future imaging systems in complex environments.