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Open AccessAn integrated single cell and spatial transcriptomic map of human white adipose tissue
To date, single-cell studies of human white adipose tissue (WAT) have been based on small cohort sizes and no cellular consensus nomenclature exists. Herein, we performed a comprehensive meta-analysis of publi...
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Open AccessIntegrated single cell and spatial transcriptomics reveal autoreactive differentiated B cells in joints of early rheumatoid arthritis
B cells play a significant role in established Rheumatoid Arthritis (RA). However, it is unclear to what extent differentiated B cells are present in joint tissue already at the onset of disease. Here, we stud...
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Open AccessExploring inflammatory signatures in arthritic joint biopsies with Spatial Transcriptomics
Lately it has become possible to analyze transcriptomic profiles in tissue sections with retained cellular context. We aimed to explore synovial biopsies from rheumatoid arthritis (RA) and spondyloarthritis (S...
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Open AccessSpatial detection of fetal marker genes expressed at low level in adult human heart tissue
Heart failure is a major health problem linked to poor quality of life and high mortality rates. Hence, novel biomarkers, such as fetal marker genes with low expression levels, could potentially differentiate ...
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Open AccessCorrection: Corrigendum: An automated approach to prepare tissue-derived spatially barcoded RNA-sequencing libraries
Scientific Reports 6: Article number: 37137; published online: 16 November 2016; updated: 13 March 2017 This Article contains errors in Figure 6c. The Pearson correlation values for the automated and manually ...
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Open AccessAn automated approach to prepare tissue-derived spatially barcoded RNA-sequencing libraries
Sequencing the nucleic acid content of individual cells or specific biological samples is becoming increasingly common. This drives the need for robust, scalable and automated library preparation protocols. Fu...
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Open AccessMassive and parallel expression profiling using microarrayed single-cell sequencing
Single-cell transcriptome analysis overcomes problems inherently associated with averaging gene expression measurements in bulk analysis. However, single-cell analysis is currently challenging in terms of cost...