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Moffitt, J.

Publications and source records attributed to Moffitt, J..

3 recordsLinked to original sources

A Reference Atlas of the Human Dorsal Root Ganglion

Somatosensory perception largely emerges from diverse peripheral sensory neurons whose cell bodies reside in dorsal root ganglia (DRG). Damage or dysfunction of DRG neurons is a major cause of chronic pain and sensory loss. In mice, deep single-cell transcriptomic profiling and genetically defined models have offered important clues into DRG function, but in humans, the cellular and molecular landscape of DRG neurons remains less understood. Here, we constructed a reference cell atlas of the human DRG by profiling transcriptomes of cells and nuclei from 126 donors sampled across cervical, thoracic, and lumbar DRGs. This atlas resolves 22 neuronal subtypes, including known and previously unrecognized subtypes linked to nociception, mechanosensation, thermosensation, and proprioception, as well as 10 types of non-neuronal cells. Cross-species integration, spatial transcriptomics, and microneurography enabled cell-type-specific comparisons of soma size and conduction velocity between species. Human DRG somata are larger across all cell types than their mouse counterparts, and the conduction velocities of human hair follicle innervating A-fibers are faster than in mice, suggesting a functional shift in rapid mechanical detection in humans. This integrated human DRG reference cell atlas provides a resource for exploring new molecular and physiological features of human DRG, which could help identify new strategies for treating chronic pain and other diseases of the peripheral nervous system.

neuroscience↗

Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning

Image-based spatial transcriptomics methods enable transcriptome-scale gene expression measurements with spatial information but require complex, manually-tuned analysis pipelines. We present Polaris, an analysis pipeline for image-based spatial transcriptomics that combines deep learning models for cell segmentation and spot detection with a probabilistic gene decoder to quantify single-cell gene expression accurately. Polaris offers a unifying, turnkey solution for analyzing spatial transcriptomics data from MERFSIH, seqFISH, or ISS experiments. Polaris is available through the DeepCell software library (https://github.com/vanvalenlab/deepcell-spots) and https://www.deepcell.org.

bioinformatics↗

FMR1 loss results in early changes to intrinsic membrane excitability in human cellular models

Fragile X mental retardation 1 (FMR1) encodes the RNA binding protein FMRP. Loss of FMRP drives Fragile X syndrome (FXS), the leading inherited cause of intellectual disability and a leading monogenic cause of autism. Cortical hyperexcitability is a hallmark of FXS, however, the underlying mechanisms reported, including alterations in synaptic transmission and ion channel expression and properties, are heterogeneous and at times contradictory. Here, we generated isogenic FMR1y/+ and FMR1y/- human pluripotent stem cell (hPSC) lines using CRISPR-Cas9, differentiated these stem cell tools into excitatory cortical neurons and systematically assessed the impact of FMRP loss on intrinsic membrane and synaptic properties over the course of in vitro differentiation. Using whole-cell patch clamp analyses at five separate time-points, we observed significant changes in multiple metrics following FMRP loss, including decreased membrane resistance, increased capacitance, decreased action potential half-width and higher maximum frequency, consistent with FMR1y/- neurons overall showing an increased intrinsic membrane excitability compared with age-matched FMR1y/+ controls. Surprisingly, a majority of these changes emerged early during in vitro differentiation and some were not stable over time. Although we detected significant differences in intrinsic properties, no discernable alterations were observed in synaptic transmission. Collectively, this study provides a new isogenic hPSC model to study the mechanisms of FMR1 gene function, identifies electrophysiological impacts of FMRP loss on human excitatory cortical neurons over time in vitro, and underscores that early developmental changes to intrinsic membrane properties may be a critical cellular pathology contributing to cortical hyperexcitability in FXS.

neuroscience↗