Emerging spatial technologies, including spatial transcriptomics and spatial epigenomics, are becoming powerful tools for profiling of cellular states in the tissue context. However, current methods capture only one layer of omics information at a time, precluding the possibility of examining the mechanistic relationship across the central dogma of molecular biology. Here, we present two technologies for spatially resolved, genome-wide, joint profiling of the epigenome and transcriptome by cosequencing chromatin accessibility and gene expression, or histone modifications (H3K27me3, H3K27ac or H3K4me3) and gene expression on the same tissue section at near-single-cell resolution. These were applied to embryonic and juvenile mouse brain, as well as adult human brain, to map how epigenetic mechanisms control transcriptional phenotype and cell dynamics in tissue. Although highly concordant tissue features were identified by either spatial epigenome or spatial transcriptome we also observed distinct patterns, suggesting their differential roles in defining cell states. Linking epigenome to transcriptome pixel by pixel allows the uncovering of new insights in spatial epigenetic priming, differentiation and gene regulation within the tissue architecture. These technologies are of great interest in life science and biomedical research.
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http://dx.doi.org/10.1038/s41586-023-05795-1 | DOI Listing |
NPJ Breast Cancer
January 2025
Cancer Science Institute of Singapore, National University of, Singapore, Singapore.
Point mutations in the ligand binding domain of retinoic acid receptor alpha (RARα) are linked to breast fibroepithelial tumor development, but their role in solid tumorigenesis is unclear. In this study, we assessed the functional effects of known RARα mutations on retinoic acid signaling using biochemical and cellular assays. All tested mutants exhibited reduced transcriptional activity compared to wild-type RARα and showed a dominant negative effect, a feature associated with developmental defects and tumor formation.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Exeter, Exeter, Devon, United Kingdom.
Background: Huntington's disease (HD) is an autosomal dominant condition causing severe neurodegeneration in the striatum and the entorhinal cortex (EC). An epigenome wide association study of DNA methylation in HD by our group, identified potential hypomethylation at the PTGDS gene in the striatum. We aimed to validate this result through pyrosequencing, examining the locus in fine detail, and to assess the signal specificity by profiling multiple neurodegenerative diseases.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disease that inflicts the elderly worldwide. Recent studies revealed the association of abnormal methylomic alterations in AD. However, a systematic and comprehensive study is needed to investigate the effects of methylomic changes on the molecular networks underpinning AD, in particular, in brain regions most vulnerable to AD neuropathology.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of California, Irvine, Irvine, CA, USA.
Background: Alzheimer's disease (AD), characterized by tau lesions and amyloid plaques, has traditionally been investigated within the cortical domain. Recent neuroimaging studies have implicated micro- and macrostructural abnormalities in cortical layers during the progression of AD. While examinations from diverse brain regions have contributed to comprehending the regional severity, these approaches have constrained the ability to delineate cortical alterations in AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Population and Quantitative Health Sciences, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, USA.
Background: Recent advances in Alzheimer's Disease (AD) research have emphasized the importance of recruiting from diverse populations. Notably, African-descent individuals have an almost doubled risk of developing AD compared to European-descent individuals. Transcriptome-wide association studies (TWAS) have advanced the analysis of non-coding variants by integrating gene expression with GWAS data.
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