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  • Recent advances in single-cell RNA sequencing of bacteria . . .
    Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular heterogeneity in complex biological systems While this technology has been widely applied to eukaryotic cells, its adaptation to bacterial systems has been challenging due to the unique characteristics of bacterial transcripts
  • The Technology and Biology of Single-Cell RNA Sequencing
    IVT is an alternative approach that is incorporated into the CEL-Seq (cell expression by linear amplification and sequencing) (Hashimshony et al , 2012) and MARS-Seq (massively parallel RNA single-cell sequencing) (Jaitin et al , 2014) protocols IVT leads to linear amplification, but it requires an additional round of reverse transcription of
  • Single-cell RNA sequencing to explore immune cell . . . - Nature
    Single-cell RNA sequencing (scRNA-seq) analysis of T H 17 cells in EAE showed that there is a spectrum of T H 17 cell pathogenicity ranging from non-pathogenic to highly pathogenic cells
  • A Review of Single-Cell RNA-Seq Annotation, Integration, and . . .
    Abstract Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for investigating cellular biology at an unprecedented resolution, enabling the characterization of cellular heterogeneity, identification of rare but significant cell types, and exploration of cell–cell communications and interactions
  • Public Single-cell RNA-Seq Databases: A Comprehensive Overview
    Comprehensive Guide to Public Single-Cell RNA-Seq Databases and Resources Single-cell RNA sequencing (scRNA-seq) has yielded vast datasets covering diverse organisms, tissues, and disease states Numerous public databases aggregate and curate these datasets to facilitate reuse by researchers
  • Current best practices in single‐cell RNA‐seq analysis: a . . .
    In recent years, single‐cell RNA sequencing (scRNA‐seq) has significantly advanced our knowledge of biological systems We have been able to both study the cellular heterogeneity of zebrafish, frogs and planaria (Briggs et al, 2018; Plass et al, 2018; Wagner et al, 2018) and discover previously obscured cellular populations (Montoro et al, 2018; Plasschaert et al, 2018)
  • Single-cell RNA-seq: advances and future challenges
    Massive parallel single-cell RNA-seq of thousands of cells from the spleen without prior selection based on an a priori cell-surface marker combined with unsupervised hierarchical clustering was used to reconstitute the global cell heterogeneity within splenic tissue Notably, the cells could be grouped into seven large sub-populations and





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