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Integrated analysis of glycan and RNA in single cells

Single-cell sequencing has emerged as an indispensable technology to dissect cellular heterogeneity but never been applied to the simultaneous analysis of glycan and RNA. Using oligonucleotide-labeled lectins, we first established lectin-based glycan profiling of single cells by sequencing (scGlycan...

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Detalles Bibliográficos
Autores principales: Minoshima, Fumi, Ozaki, Haruka, Odaka, Haruki, Tateno, Hiroaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349903/
https://www.ncbi.nlm.nih.gov/pubmed/34401666
http://dx.doi.org/10.1016/j.isci.2021.102882
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author Minoshima, Fumi
Ozaki, Haruka
Odaka, Haruki
Tateno, Hiroaki
author_facet Minoshima, Fumi
Ozaki, Haruka
Odaka, Haruki
Tateno, Hiroaki
author_sort Minoshima, Fumi
collection PubMed
description Single-cell sequencing has emerged as an indispensable technology to dissect cellular heterogeneity but never been applied to the simultaneous analysis of glycan and RNA. Using oligonucleotide-labeled lectins, we first established lectin-based glycan profiling of single cells by sequencing (scGlycan-seq). We then combined the scGlycan-seq with single-cell transcriptome profiling for joint analysis of glycan and RNA in single cells (scGR-seq). Using scGR-seq, we analyzed the two modalities in human induced pluripotent stem cells (hiPSCs) before and after differentiation into neural progenitor cells at the single-cell resolution. The combination of RNA and glycan separated the two cell types clearer than either one of them. Furthermore, integrative analysis of glycan and RNA modalities in single cells found known and unknown lectins that were specific to hiPSCs and coordinated with neural differentiation. Taken together, we demonstrate that scGR-seq can reveal the cellular heterogeneity and biological roles of glycans across multicellular systems.
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spelling pubmed-83499032021-08-15 Integrated analysis of glycan and RNA in single cells Minoshima, Fumi Ozaki, Haruka Odaka, Haruki Tateno, Hiroaki iScience Article Single-cell sequencing has emerged as an indispensable technology to dissect cellular heterogeneity but never been applied to the simultaneous analysis of glycan and RNA. Using oligonucleotide-labeled lectins, we first established lectin-based glycan profiling of single cells by sequencing (scGlycan-seq). We then combined the scGlycan-seq with single-cell transcriptome profiling for joint analysis of glycan and RNA in single cells (scGR-seq). Using scGR-seq, we analyzed the two modalities in human induced pluripotent stem cells (hiPSCs) before and after differentiation into neural progenitor cells at the single-cell resolution. The combination of RNA and glycan separated the two cell types clearer than either one of them. Furthermore, integrative analysis of glycan and RNA modalities in single cells found known and unknown lectins that were specific to hiPSCs and coordinated with neural differentiation. Taken together, we demonstrate that scGR-seq can reveal the cellular heterogeneity and biological roles of glycans across multicellular systems. Elsevier 2021-07-17 /pmc/articles/PMC8349903/ /pubmed/34401666 http://dx.doi.org/10.1016/j.isci.2021.102882 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Minoshima, Fumi
Ozaki, Haruka
Odaka, Haruki
Tateno, Hiroaki
Integrated analysis of glycan and RNA in single cells
title Integrated analysis of glycan and RNA in single cells
title_full Integrated analysis of glycan and RNA in single cells
title_fullStr Integrated analysis of glycan and RNA in single cells
title_full_unstemmed Integrated analysis of glycan and RNA in single cells
title_short Integrated analysis of glycan and RNA in single cells
title_sort integrated analysis of glycan and rna in single cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349903/
https://www.ncbi.nlm.nih.gov/pubmed/34401666
http://dx.doi.org/10.1016/j.isci.2021.102882
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