![]() Mynn Tan from 10x Genomics will discuss on the current trends and developments of single-cell sequencing and spatial transcriptomics solutions in Asia and how researchers/scientists can find the flexibility in approaching their analysis with spatial technology. Watanabe Akira (Kyoto University) to share their research outcomes from applying single-cell RNA sequencing to their research. Shyam Prabhakar (Genomics Institute of Singapore) and Dr. The advancement of single cell RNA-sequencing (scRNA-seq) technology has enabled the direct inference of co-expressions in specific cell types, facilitating our understanding of cell-type-specific. ![]() Join experts conversing at this webinar hosted by Novogene, as we welcome Dr. A mixture of whole blood myeloid-enriched and Ficoll-enriched peripheral blood mononuclear cells from four late septic patients (post-sepsis day 14-21) and. Spatial transcriptomes, an emerging technique that utilizes spatially barcoded, complementary DNA primers for full-transcriptome capture on tissue sections can be added to RNA-seq data to transform our understanding of tissue functional organization and cell to cell interactions in situ. Our goal was to use single-cell RNA sequencing (scRNA-seq) to perform a detailed transcriptomic analysis of lymphoid-derived leukocytes to better understand the pathology of late sepsis. Obtaining quantitative information on gene expression changes within cells can be laborious and challenging. In contrast to whole tissue RNA sequencing, single cell sequencing has been a promising tool in the research for medical and clinical treatments by analyzing individual cell at its micro-environments and making discoveries of unknown cell types particularly in rare diseases. From Single-cell RNA-seq to Spatial Transcriptomics
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