A single-cell atlas of APA of the aged human brain across 2 million cells from 379 human postmortem brains is reported to provide a cell-type-specific foundation to interrogate the cis and trans regulation of APA and to understand the contribution to disease heritability of this key post-transcriptional layer.
Abstract
Alternative polyadenylation (APA) has a central role in regulation of the fate of mRNA and exhibits high variability in the brain and in neurons. However, brain APA regulation has not been mapped at cell type resolution, and the genetic control of APA in brain cell types and its contribution to genetic disease have remained unclear. Here we report a single-cell atlas of APA of the aged human brain across 2 million cells from 379 human postmortem brains across individuals with and without Alzheimer's disease (AD). We show that APA provides an independent mechanistic layer for understanding gene regulatory changes in AD, as genes with APA alterations are distinct from those with expression changes but often converge to similar pathways, including microglial activation and microtubule transport in neurons. We integrate APA variation with whole-genome sequencing to identify cell-type-resolved 3' untranslated region quantitative trait loci (3'aQTLs) for 4,288 genes. We find that 3'aQTLs preferentially colocalize with pQTLs over eQTLs. Across 17 brain traits and diseases, we identify 168 GWAS loci dependent on 3'aQTLs, of which only 17.5% are shared with eQTLs. These include PLEKHA1 and APOC2 for AD, PAK6 and AP3B2 for schizophrenia, NDUFA13 for bipolar disorder, MTCH2 for multiple brain traits, and SNCA, the top locus in Parkinson's disease. We show that 3' untranslated region choice alters SNCA mRNA localization within the cell, consistent with the observation that the SNCA risk locus acts in an eQTL-independent manner in neurons and oligodendrocytes. Our results provide a cell-type-specific foundation to interrogate the cis and trans regulation of APA and to understand the contribution to disease heritability of this key post-transcriptional layer.
Abstract Enhancer RNAs (eRNAs) contribute to gene expression specificity, yet their expression patterns at single-cell resolution remain poorly understood. Across 184 329 high-quality single cells from 187 full-length single-cell RNA-seq datasets, we identified 85 977 human and 82 727 mouse eRNAs, which were sparsely d...
Hao Rong, He-Ting Liu, Yan-Guo Li et al.· Nucleic Acids Research· 0 citations
Analysis of RNA-sequencing data from nine iPSC-derived cell types and dozens of human transcriptomic conserved deletions suggests that evolution of HMMR splicing in humans increased plasticity in cell division, potentially leading to tradeoffs between advantageous effects on brain development and deleterious effects on...
Alexander L. Starr, A. Villalba, Jenna Rever et al.· bioRxiv· 0 citations
This high-resolution atlas of genetic regulation of gene expression in the human prefrontal cortex provides insight into the cell type-specific regulatory architecture of the human brain, and offers novel mechanistic targets for understanding the genetic basis of neuropsychiatric and neurodegenerative diseases.
B. Zeng, Hui Yang, Prashant N. M. et al.· Nature Genetics· 2 citations
While 5-methylcytosine (5mC) DNA methylation is a well-known player in genome stability and transcriptional regulation, the role of 5-hydroxymethylcytosine (5hmC), particularly prevalent in neurons, remains largely unknown. Here, we used long-read Oxford Nanopore Technology (ONT) to profile whole-genome, native 5mC and...
Dennis Klose, Mohammad Hossein Sepehri, Remi-André Olsen et al.· Epigenetics & Chromatin· 0 citations
Understanding gene regulation in the brain is essential for defining the genetic basis of neurologic disease. Cis-regulatory elements (CREs) regulate gene expression, but their function and evolution depend on sequence and cis- and trans-regulatory context. We generated single-nucleus RNA- and ATAC-seq data from cortex...
Ashlyn G. Anderson, B. Rogers, Erin A. Barinaga et al.· Cell Genomics· 0 citations
A major challenge in precision medicine is to understand the cellular origin of disease-causing genetic alterations. One prominent example is the Negr1 locus, where common non-coding variants are associated with an unusually broad range of human traits and conditions, including body mass index (BMI), major depression,...
Andrés González-Suarez, Laura Pola-Morell, Hernán López-Schier· bioRxiv· 0 citations
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