Publications by authors named "F Laszlo Szabo"
In this study, 1,616,549 Holstein-Friesian females were genotyped for genomic evaluation of genetic merit (BV). Genotyping was performed using the EuroGenomics MD v3.0 chipset on the Illumina microarray scanner platform operated by an accredited Illumina laboratory.
View Article and Find Full Text PDFThis study aimed to examine the age at first calving (AFC) in Hungarian Angus herds. This study was conducted on the basis of data from 2955 registered cows, classified into five groups (based on different Angus types), and 200 breeding bulls, which were the sires of the cows. The data were made available by the Hungarian Hereford, Angus, and Galloway Breeders' Association.
View Article and Find Full Text PDFArticle Synopsis
- This study focused on identifying single nucleotide polymorphisms (SNPs) that influence the estimated breeding values (EBVs) of milk, fat, and protein yield in Holstein Friesian cows in Hungary.
- Researchers genotyped 2963 cows and used genetic distance calculations, linear regression, and haplotype association tests to find nine significant SNPs linked to the traits of interest across various chromosomes.
- Some SNPs, like BTB-00219372 and BovineHD3000027615, showed mixed effects on different EBVs, highlighting the need for careful selection to enhance desired traits without negatively impacting others.
Article Synopsis
- Neural networks need a balance of glutamatergic and GABAergic neurons during cortical development; disturbances can affect both pyramidal and GABAergic neuron functions.
- This study investigates the role of deep-layer pyramidal neurons by manipulating specific layer 5 projection neurons to see how they influence GABAergic neuron distribution and function.
- Results showed that silencing these pyramidal neurons did not affect the overall number of parvalbumin neurons, but did alter their adult distribution and connectivity in specific areas of the cortex, indicating a complex interaction in inhibitory network formation.
Article Synopsis
- Bidirectional communication between neurons and glial cells is essential for proper brain function, but the effects of sudden changes in neuronal activity on these interactions are not well understood.
- In this study, researchers used a technique called DREADD to manipulate specific neuron populations in mouse brains, discovering that activating neurons leads to reduced synaptic density and increased glial cell reactivity, while silencing them has the opposite effect.
- The findings highlight rapid and dynamic interactions between neurons and glial cells that are influenced by neuronal activity, contributing to our understanding of brain function and potential implications for neurological conditions.