Analysis of affinity-purified PSD-95 complexes had previously identified a 'hypothetical protein', product of the gene FAM81A [1]. The present study examined the tissue and subcellular distribution of FAM81A protein and its expression levels during development. Comparison of different organs indicates selective expression of FAM81A protein in brain. FAM81A is expressed late in development, with a post-natal gradual increase in brain levels that parallels the expression of PSD-95. Comparison of subcellular fractions from adult brain shows that the distribution of FAM81A protein is similar to that of PSD-95, with a drastic enrichment in the postsynaptic density fraction. Immuno-electron microscopy of adult brain tissue reveals specific immunogold labeling for FAM81A protein at postsynaptic densities in the forebrain. The label for FAM81A protein is concentrated at the cytoplasmic edge of the electron-dense core of the postsynaptic density, with a mean distance of ∼33 nm from the postsynaptic membrane. These observations firmly establish FAM81A protein as a component of the postsynaptic density in the adult brain, suggesting a role in synaptic function.
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http://dx.doi.org/10.1016/j.neulet.2019.02.003 | DOI Listing |
EBioMedicine
August 2024
Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Berkeley Biomedical Data Science Center, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. Electronic address:
Background: Deeper insights into ERBB2-driven cancers are essential to develop new treatment approaches for ERBB2+ breast cancers (BCs). We employed the Collaborative Cross (CC) mouse model to unearth genetic factors underpinning Erbb2-driven mammary tumour development and metastasis.
Methods: 732 F1 hybrid female mice between FVB/N MMTV-Erbb2 and 30 CC strains were monitored for mammary tumour phenotypes.
Lipids Health Dis
July 2024
School of Arts, Sciences and Humanities, University of São Paulo, São Paulo, Brazil.
Background: Cardiovascular diseases (CVDs) comprise major causes of death worldwide, leading to extensive burden on populations and societies. Alterations in normal lipid profiles, i.e.
View Article and Find Full Text PDFProteome analyses of the postsynaptic density (PSD), a proteinaceous specialization beneath the postsynaptic membrane of excitatory synapses, have identified several thousands of proteins. While proteins with predictable functions have been well studied, functionally uncharacterized proteins are mostly overlooked. In this study, we conducted a comprehensive meta-analysis of 35 PSD proteome datasets, encompassing a total of 5,869 proteins.
View Article and Find Full Text PDFTwin Res Hum Genet
December 2022
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
It is crucial to understand the genetic mechanisms and biological pathways underlying the relationship between obesity and serum lipid levels. Structural equation models (SEMs) were constructed to calculate heritability for body mass index (BMI), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and the genetic connections between BMI and the four classes of lipids using 1197 pairs of twins from the Chinese National Twin Registry (CNTR). Bivariate genomewide association studies (GWAS) were performed to identify genetic variants associated with BMI and lipids using the records of 457 individuals, and the results were further validated in 289 individuals.
View Article and Find Full Text PDFEpigenomics
May 2022
Medical college of Yangzhou University, Yangzhou, Jiangsu, 225000, China.
We thoroughly discuss the interaction between the stemness index and DNA methylation in pancreatic cancer (PC). First, the stemness indices of PC (denoted mRNAsi and mDNAsi) were calculated using a one-class logistic regression machine-learning algorithm. Second, we screened the central methylation sites associated with stemness and screened out the key genes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!