Search bioRxivSearch

bioRxiv · 10.1101/2019.12.15.876185

Cell-specific exon methylation and CTCF binding in neurons regulates calcium ion channel splicing and function

Abstract

Cell-specific alternative splicing modulates myriad cell functions and this process is disrupted in disease. The mechanisms governing alternative splicing are known for relatively few genes and typically focus on RNA splicing factors. In sensory neurons, cell-specific alternative splicing of the presynaptic voltage-gated calcium channel Cacna1b gene modulates opioid sensitivity. How this splicing is regulated has remained unknown. We find that cell-specific exon DNA hypomethylation permits binding of CTCF, the master regulator of chromatin structure in mammals, which, in turn, controls splicing in noxious heat-sensing nociceptors. Hypomethylation of an alternative exon specifically in nociceptors allows for CTCF binding, and expression of CaV2.2 channels with increased opioid sensitivity. Following nerve injury, exon methylation is increased, and splicing is disrupted. Our studies define the molecular mechanisms of cell-specific alternative splicing of a functionally validated exon in normal and disease states - and reveal a potential target for the treatment of chronic pain. HighlightsO_LIThe molecular basis of cell-specific splicing of a synaptic calcium channel gene. C_LIO_LISplicing controlled by cell-specific exon hypomethylation and CTCF binding. C_LIO_LIPeripheral nerve injury disrupts exon hypomethylation and splicing. C_LIO_LITargeted demethylation of exon by dCAS9-TET modifies alternative splicing. C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=158 SRC="FIGDIR/small/876185v2_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@11b592eorg.highwire.dtl.DTLVardef@7c0eddorg.highwire.dtl.DTLVardef@b403bborg.highwire.dtl.DTLVardef@611882_HPS_FORMAT_FIGEXP M_FIG Cell-specific epigenetic modifications in a synaptic calcium ion channel gene controls cell-specific splicing in normal and neuropathic pain. In naive animals, in most neurons, Cacna1b e37a locus is hipermethylated (5-mC) and CTCF does not bind this locus. During splicing, e37a is skipped and Cacna1b mRNAs include e37b. In contrast, in Trpv1-lineage neurons, Cacna1b e37a locus is hypomethylated and is permissive for CTCF binding. CTCF promotes e37a inclusion and both Cacna1b e37a and e37b mRNAs are expressed. E37a confers strong sensitivity to the Cav2.2 channel to inhibition by -opioid receptors (OR). Morphine is more effective at inhibiting e37a-containing Cav2.2 channels. After peripheral nerve injury that results in pathological pain, methylation level of Cacna1b e37a locus is increased, CTCF binding is impaired, and Cacna1b e37a mRNA levels are decreased. This disrupted splicing pattern is associated with reduced efficacy of morphine in vivo. C_FIG

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Lopez Soto, E. J., Lipscombe, D.. 2019-12-15. Cell-specific exon methylation and CTCF binding in neurons regulates calcium ion channel splicing and function. https://doi.org/10.1101/2019.12.15.876185

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

The Unreasonable Effectiveness of Cell Types in Describing Neuronal Physiological Features

Single-cell RNA sequencing (scRNA-seq) captures detailed gene expression profiles at scale, while patch-clamp recordings measure intrinsic neuronal electrophysiological properties. Modeling the relations between these two modalities remains a challenge. Here, we compare how well electrophysiological features can be predicted by traditional transcriptomic cell type classification, representations derived from a foundational model (scGPT) pretrained on large-scale scRNA-seq datasets, ion channel-coding genes, and highly variable genes. Using paired transcriptomic and electrophysiological patch-sequencing data from 495 human neurons from neurosurgical tissue, we find that cluster-level cell type representations consistently outperform highly variable gene selection, ion channel gene selection, and context-enriched scGPT embeddings. Notably, performance varies across model architectures and initializations, and the best results are obtained by combining the outputs of separate cell type and scGPT-based models. Together, these findings suggest that traditional discrete cellular classification is highly effective in predicting physiological features. For maximum performance it can be complemented by pretrained transformer models.

neuroscience

A nonlinear inhibition pathway underlying cortical responses to tuned holographic optogenetic perturbations

Optogenetics enables causal manipulation of cortical activity. Perturbation responses can be counterintuitive due to network interactions, making theory essential for predicting them. Existing approaches often rely on linear approximations, which fail for many biologically relevant perturbations. Here we develop a nonlinear theory of responses to holographic perturbations in cell-type-specific recurrent networks with structured connectivity. We fit a nonlinear model to mouse V1 data, which shows cotuned-ensemble suppression: perturbing spatially clustered neurons with similar preferred orientations yields markedly stronger short-range suppression than perturbing untuned ensembles. We show that cotuned-ensemble suppression arises from a feature-tuned, nonlinear inhibition pathway implicating somatostatin-positive (SST) interneurons. The theory predicts that cotuned ensembles suppress parvalbumin-positive (PV) neurons but facilitate SST neurons, and links the degree of cotuned-ensemble suppression or facilitation to the variance of the SST response. This framework identifies mechanisms by which nonlinear inhibition sculpts cortical dynamics and establishes a predictive basis for targeted optogenetic interventions.

neuroscience

Proteomic signatures of APOE ε4 across human tissues and cell types in Alzheimers disease

The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is the strongest genetic risk factor for late-onset Alzheimers disease (AD). However, the underlying molecular mechanisms remain unclear. This study included 1691 participants from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP), 1226 participants from the Accelerating Medicines Partnership - Alzheimers Disease (AMP-AD) Diverse Cohorts Study, and 735 participants from the Alzheimers Disease Neuroimaging Initiative (ADNI). To characterise APOE {varepsilon}4 molecular effects, we analysed proteomic data from plasma, cerebrospinal fluid (CSF), and induced pluripotent stem cell (iPSC)-derived astrocytes and neurons, as well as transcriptomic and proteomic data from multiple brain regions. The association of APOE {varepsilon}4 with AD neuropathology was also examined. APOE {varepsilon}4 carriers shared a plasma proteomic signature enriched for immune processes, irrespective of AD diagnosis. A machine learning classifier trained on this signature discriminated APOE {varepsilon}4 carriers from non-carriers in an independent cohort using CSF proteomics. APOE {varepsilon}4 carriage was associated with higher Braak stages and Consortium to Establish a Registry for Alzheimers Disease (CERAD) score. However, only limited APOE {varepsilon}4-associated transcriptomic and proteomic changes were observed in bulk brain tissue, with poor cross-layer concordance. Proteomic analyses of iPSC-derived astrocytes and neurons further revealed cell-type-specific APOE {varepsilon}4-associated changes. APOE {varepsilon}4 is associated with a consistent proteomic signature across plasma and CSF. Its molecular effects in the brain differ across cell types, brain regions and molecular layers. These findings support the need for cell-type-resolved multi-omic studies to elucidate how APOE {varepsilon}4 confers AD risk.

neuroscience