Biology subjects

Hallett, J.

Publications and source records attributed to Hallett, J..

2 recordsLinked to original sources

bioRxiv2024

Loss of Bicra/Gltscr1 leads to a defect in fetal liver macrophages responsible for erythrocyte maturation in mice.

Key pointsBicra/Gltscr1 homozygous knockout mice are perinatal lethal with aberrant liver resident macrophage gene expression and function. Dysfunctional macrophages result in accumulation of immature nucleated red blood cells in peripheral blood and liver of the knockout mice. GLTSCR1, a protein encoded by the Bicra gene, is a defining subunit of the SWI/SNF (also called mammalian BAF) chromatin remodeling subcomplex called GBAF/ncBAF. To determine the role of GLTSCR1 during mouse development, we generated a Bicra germline knockout mouse using CRISPR/Cas9. Mice with homozygous loss of Bicra were born at Mendelian ratios but were small, pale and died within 24 hours after birth. Histology indicated blood-related defects including defective erythroblastic islands and irregularly sized red blood cells. Gene expression profiling of fetal livers pinpointed a defect in liver resident macrophages involved in the last stage of erythrocyte maturation, resulting in accumulation of nucleated erythrocytes in Bicra-/- pups. Together, these results demonstrate that Bicra is critical for fetal liver macrophage function during development. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=140 SRC="FIGDIR/small/618940v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@150ac36org.highwire.dtl.DTLVardef@15a4758org.highwire.dtl.DTLVardef@2176aorg.highwire.dtl.DTLVardef@14f5d49_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOVisual AbstractC_FLOATNO C_FIG

developmental biology↗

bioRxiv2020

The MRC IEU OpenGWAS data infrastructure

Data generated by genome-wide association studies (GWAS) are growing fast with the linkage of biobank samples to health records, and expanding capture of high-dimensional molecular phenotypes. However the utility of these efforts can only be fully realised if their complete results are collected from their heterogeneous sources and formats, harmonised and made programmatically accessible. Here we present the OpenGWAS database, an open source, open access, scalable and high-performance cloud-based data infrastructure that imports and publishes complete GWAS summary datasets and metadata for the scientific community. Our import pipeline harmonises these datasets against dbSNP and the human genome reference sequence, generates summary reports and standardises the format of results and metadata. Users can access the data via a website, an application programming interface, R and Python packages, and also as downloadable files that can be rapidly queried in high performance computing environments. OpenGWAS currently contains 126 billion genetic associations from 14,582 complete GWAS datasets representing a range of different human phenotypes and disease outcomes across different populations. We developed R and Python packages to serve as conduits between these GWAS data sources and a range of available analytical tools, enabling Mendelian randomization, genetic colocalisation analysis, fine mapping, genetic correlation and locus visualisation. OpenGWAS is freely accessible at https://gwas.mrcieu.ac.uk, and has been designed to facilitate integration with third party analytical tools.

genetics↗