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Eberwine, J.

Publications and source records attributed to Eberwine, J..

5 recordsLinked to original sources

Single-Mitochondrion Sequencing Uncovers Distinct Mutational Patterns and Heteroplasmy Landscape in Mouse Astrocytes and Neurons.

BackgroundMitochondrial (mt) heteroplasmy can cause adverse biological consequences when deleterious mtDNA mutations accumulate disrupting normal mt-driven processes and cellular functions. To investigate the heteroplasmy of such mtDNA changes we developed a moderate throughput mt isolation procedure to quantify the mt single-nucleotide variant (SNV) landscape in individual mouse neurons and astrocytes In this study we amplified mt-genomes from 1,645 single mitochondria (mts) isolated from mouse single astrocytes and neurons to 1. determine the distribution and proportion of mt-SNVs as well as mutation pattern in specific target regions across the mt-genome, 2. assess differences in mtDNA SNVs between neurons and astrocytes, and 3. Study cosegregation of variants in the mouse mtDNA. Results1. The data show that specific sites of the mt-genome are permissive to SNV presentation while others appear to be under stringent purifying selection. Nested hierarchical analysis at the levels of mitochondrion, cell, and mouse reveals distinct patterns of inter- and intra-cellular variation for mt-SNVs at different sites. 2. Further, differences in the SNV incidence were observed between mouse neurons and astrocytes for two mt-SNV 9027:G>A and 9419:C>T showing variation in the mutational propensity between these cell types. Purifying selection was observed in neurons as shown by the Ka/Ks statistic, suggesting that neurons are under stronger evolutionary constraint as compared to astrocytes. 3. Intriguingly, these data show strong linkage between the SNV sites at nucleotide positions 9027 and 9461. f ConclusionThis study suggests that segregation as well as clonal expansion of mt-SNVs is specific to individual genomic loci, which is important foundational data in understanding of heteroplasmy and disease thresholds for mutation of pathogenic variants.

neuroscience↗

Neuronal phenotype defined by transcriptome-wide bursting kinetics in pyramidal and fast-spiking cells

Single-cell sequencing revealed the transcriptional heterogeneity of neurons and introduced transcriptome-defined neuron types and subtypes. Temporal recordings of gene transcription showed that mRNA synthesis is arranged into transcriptional bursts which can be characterized by kinetic parameters. Here, we selected two distinct, functionally homogenous, and electrophysiologically well-defined neuronal cell types - the pyramidal cells and fast-spiking interneurons - for transcriptional burst analysis. Hierarchical clustering based on electrophysiological parameters recovered these cell types. In contrast, clustering based on transcripts failed to differentiate these neuronal phenotypes. We applied mathematical models to analyze burst kinetics of fast-spiking and pyramidal cells to explore the transcriptional underpinning of their distinct physiological functions. We found that inferred burst kinetic parameters are distinct measures of gene expression from average mRNA counts. Based on our results, we suggest that burst kinetics can be considered as a component of transcriptome-defined neuronal phenotype besides mRNA counts.

bioinformatics↗

Single Cell Spatial Chromatin Analysis of Fixed Immunocytochemically Identified Neuronal Cells

Assays examining the open-chromatin landscape in single cells require isolation of the nucleus, resulting in the loss of spatial/microenvironment information. Here we describe CHEX-seq (CHromatin EXposed) for identifying single-stranded open-chromatin DNA regions in paraformaldehyde-fixed single cells. CHEX-seq uses light-activated DNA probes that binds to single-stranded DNA in open chromatin. In situ laser activation of the annealed probes 3-Lightning Terminator in selected cells permits the probe to act as a primer for in situ enzymatic copying of single-stranded DNA that is then sequenced. CHEX-seq is benchmarked with human K562 cells and its utility is demonstrated in dispersed primary mouse and human brain cells, and immunostained cells in mouse brain sections. Further, CHEX-seq queries the openness of mitochondrial DNA in single cells. Evaluation of an individual cells chromatin landscape in its tissue context enables \"spatial chromatin analysis\".\n\nOne Sentence SummaryA new method, CHEX-seq (CHromatin eXposed), identifies the open-chromatin landscape in single fixed cells thereby allowing spatial chromatin analysis of selected cells in complex cellular environments.

neuroscience↗

Comprehensive catalog of dendritically localized mRNA isoforms from sub-cellular sequencing of single mouse neurons

RNA localization to neuronal dendrites is critical step for long-lasting synaptic potentiation, but there is little consensus regarding which RNAs are localized and the role of alternative isoforms in localization. Using independent RNA-sequencing from soma and dendrites of the same neuron, we deeply profiled the sub-cellular transcriptomes to assess the extent and variability of dendritic RNA localization in individual hippocampal neurons, including an assessment of differential localization of alternative 3UTR isoforms. We identified 2,225 dendritic RNAs, including 298 cases of 3UTR isoform-specific localization. We extensively analyzed the localized RNAs for potential localization motifs, finding that B1 and B2 SINE elements are up to 5.7 times more abundant in localized RNA 3UTRs than non-localized, and also functionally characterized the localized RNAs using protein structure analysis. Finally, we integrate our list of localized RNAs with the literature to provide a comprehensive list of known dendritically localized RNAs as a resource.

neuroscience↗

The Human Cell Atlas

The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body, by undertaking a Human Cell Atlas Project as an international collaborative effort. The aim would be to define all human cell types in terms of distinctive molecular profiles (e.g., gene expression) and connect this information with classical cellular descriptions (e.g., location and morphology). A comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, as well as provide a framework for understanding cellular dysregulation in human disease. Here we describe the idea, its potential utility, early proofs-of-concept, and some design considerations for the Human Cell Atlas.

cell biology↗