Spatial profiling, through single-cell gene level expression data paired with cell localization, offers unprecedented biological insights within the intact spatial context of cells in healthy and diseased tissue, adding a novel dimension to data interpretation. This review summarizes recent developments in this field, its application to allergy and inflammation, and recent single-cell resolution platforms designed for spatial transcriptomics with a focus on data processing and analyses for efficient biological interpretation of data. By preserving spatial context, these technologies provide critical insights into tissue architecture and cellular interactions unattainable with traditional transcriptomics methods, such as revealing localized inflammatory cell network in atopic dermatitis, and T-cell interactions in the lung in chronic obstructive pulmonary disease.
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December 2024
Motivation: Recent experimental developments enable single-cell multimodal epigenomic profiling, which measures multiple histone modifications and chromatin accessibility within the same cell. Such parallel measurements provide exciting new opportunities to investigate how epigenomic modalities vary together across cell types and states. A pivotal step in using these types of data is integrating the epigenomic modalities to learn a unified representation of each cell, but existing approaches are not designed to model the unique nature of this data type.
View Article and Find Full Text PDFIntroduction: Individuals with higher neurological levels of spinal cord injury (SCI) at or above the sixth thoracic segment (≥T6), exhibit impaired resting cardiovascular control and responses during upper-body exercise. Over time, impaired cardiovascular control predisposes individuals to lower cardiorespiratory fitness and thus a greater risk for cardiovascular disease and mortality. Non-invasive transcutaneous spinal cord stimulation (TSCS) has been shown to modulate cardiovascular responses at rest in individuals with SCI, yet its effectiveness to enhance exercise performance acutely, or promote superior physiological adaptations to exercise following an intervention, in an adequately powered cohort is unknown.
View Article and Find Full Text PDFBackground: As value-based care arrangements continue to assess quality of care and costs, comprehensive and patient-centered definitions of quality of care are required. While patient-reported outcome measures are increasingly integrated into quality assessments following total joint arthroplasty (TJA), patient perceptions of quality paired with the phase of surgical care has not been described. The purpose of this study was to assess how TJA patients perceive measures of quality of care and assess if these perceptions change based on the phase of care.
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