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Mashup Score: 0Dynamic responses to rejection in the transplanted human heart revealed through spatial transcriptomics - 2 month(s) ago
Allograft rejection following solid-organ transplantation is a major cause of graft dysfunction and mortality. Current approaches to diagnosis rely on histology, which exhibits wide diagnostic variability and lacks access to molecular phenotypes that may stratify therapeutic response. Here, we leverage image-based spatial transcriptomics at sub-cellular resolution in longitudinal human cardiac biopsies to characterize transcriptional heterogeneity in 62 adult and pediatric heart transplant (HT) recipients during and following histologically-diagnosed rejection. Across 28 cell types, we identified significant differences in abundance in CD4+ and CD8+ T cells, fibroblasts, and endothelial cells across different biological classes of rejection (cellular, mixed, antibody-mediated). We observed a broad overlap in cellular transcriptional states across histologic rejection severity and biological class and significant heterogeneity within rejection severity grades that would qualify for immu
Source: www.biorxiv.orgCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 0Dynamic responses to rejection in the transplanted human heart revealed through spatial transcriptomics - 2 month(s) ago
Allograft rejection following solid-organ transplantation is a major cause of graft dysfunction and mortality. Current approaches to diagnosis rely on histology, which exhibits wide diagnostic variability and lacks access to molecular phenotypes that may stratify therapeutic response. Here, we leverage image-based spatial transcriptomics at sub-cellular resolution in longitudinal human cardiac biopsies to characterize transcriptional heterogeneity in 62 adult and pediatric heart transplant (HT) recipients during and following histologically-diagnosed rejection. Across 28 cell types, we identified significant differences in abundance in CD4+ and CD8+ T cells, fibroblasts, and endothelial cells across different biological classes of rejection (cellular, mixed, antibody-mediated). We observed a broad overlap in cellular transcriptional states across histologic rejection severity and biological class and significant heterogeneity within rejection severity grades that would qualify for immu
Source: www.biorxiv.orgCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 3LungMAP - Home - 3 month(s) ago
We are extremely grateful to the families who have generously given such precious gifts to support this important research.
Source: www.lungmap.netCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 115Spatial transcriptomics identifies molecular niche dysregulation associated with distal lung remodeling in pulmonary fibrosis - 3 month(s) ago
Nature Genetics – Xenium spatial transcriptomic profiling of pulmonary fibrosis characterizes cell composition dynamics and histopathological features associated with the disease.
Source: www.nature.comCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 20A prognostic molecular signature of hepatic steatosis is spatially heterogeneous and dynamic in human liver - 4 month(s) ago
Perry et al. use a translational approach across phenotypes, outcomes, circulating proteomics, and tissue transcriptomics to identify functional biomarkers of hepatic steatosis. These markers are associated with metabolically relevant clinical outcomes and appear spatially enriched in human tissue in areas of steatosis and dynamically expressed during in vitro steatosis induction.
Source: www.cell.comCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 5John D. Fryer, Ph.D. - 5 month(s) ago
Dr. John D. Fryer is a professor and inaugural director of the Center for Accelerated Nanotherapeutics. He is a translational neuroscientist who pursues NIH-funded, mechanistic science as well as omics-based discovery analyses to identify new targets and pathways. The overarching goals of his lab are to determine molecular pathways that impinge upon normal central nervous system function and that ultimately result in lasting cognitive and behavioral impairments as occurs in Alzheimer’s disease and related dementias. Most of these projects lie at the intersection of genetics, aging, and neuroinflammation. Below are snapshots of projects currently being studied in his lab.
Source: www.tgen.orgCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 5Second COPD-iNet Symposium-Curing COPD… | American Thoracic Society - 7 month(s) ago
The American Thoracic Society is the world’s leading medical society dedicated to accelerating the advancement of global respiratory health through…
Source: site.thoracic.orgCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 2
Overlaying omics data onto spatial biological dimensions has been a promising technology to provide high-resolution insights into the interactome and cellular heterogeneity relative to the organization of the molecular microenvironment of tissue samples in normal and disease states. Spatial omics can be categorized into three major modalities: (a) next-generation sequencing–based assays, (b) imaging-based spatially resolved transcriptomics approaches including in situ hybridization/in situ sequencing, and (c) imaging-based spatial proteomics. These modalities allow assessment of transcripts and proteins at a cellular level, generating large and computationally challenging datasets. The lack of standardized computational pipelines to analyze and integrate these nonuniform structured data has made it necessary to apply artificial intelligence and machine learning strategies to best visualize and translate their complexity. In this review, we summarize the currently available techniques a
Source: www.annualreviews.orgCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 727Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics - PubMed - 8 month(s) ago
Single-cell measurements are uniquely capable of characterizing cell-to-cell heterogeneity and have been used to explore the large diversity of cell types and physiological functions present in tissues and other complex cell assemblies. An intriguing application of single-cell proteomics is the char …
Source: pubmed.ncbi.nlm.nih.govCategories: General Medicine News, Hem/OncsTweet
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Mashup Score: 691Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics - PubMed - 9 month(s) ago
Single-cell measurements are uniquely capable of characterizing cell-to-cell heterogeneity and have been used to explore the large diversity of cell types and physiological functions present in tissues and other complex cell assemblies. An intriguing application of single-cell proteomics is the char …
Source: pubmed.ncbi.nlm.nih.govCategories: General Medicine News, Hem/OncsTweet
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