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Title:
High-throughput targeted long-read single cell sequencing reveals the clonal and transcriptional landscape of lymphocytes | Nature Communications
Description:
High-throughput single-cell RNA sequencing is a powerful technique but only generates short reads from one end of a cDNA template, limiting the reconstruction of highly diverse sequences such as antigen receptors. To overcome this limitation, we combined targeted capture and long-read sequencing of T-cell-receptor (TCR) and B-cell-receptor (BCR) mRNA transcripts with short-read transcriptome profiling of barcoded single-cell libraries generated by droplet-based partitioning. We show that Repertoire and Gene Expression by Sequencing (RAGE-Seq) can generate accurate full-length antigen receptor sequences at nucleotide resolution, infer B-cell clonal evolution and identify alternatively spliced BCR transcripts. We apply RAGE-Seq to 7138 cells sampled from the primary tumor and draining lymph node of a breast cancer patient to track transcriptome profiles of expanded lymphocyte clones across tissues. Our results demonstrate that RAGE-Seq is a powerful method for tracking the clonal evolution from large numbers of lymphocytes applicable to the study of immunity, autoimmunity and cancer. Single cell RNA sequencing generates short reads from one end of a template, providing incomplete transcript coverage and limiting identification of diverse sequences such as antigen receptors. Here the authors combine long read nanopore sequencing with short read profiling of barcoded libraries to generate full-length antigen receptor sequences.
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cells, cell, pubmed, article, sequencing, google, scholar, sequences, fig, cas, chains, sequence, tcr, single, supplementary, nanopore, analysis, gene, data, node, reads, central, bcr, rageseq, lymph, chain, performed, mrna, assigned, jurkat, fulllength, tumor, ramos, receptor, paired, genes, capture, targeted, lymphocytes, number, expression, vdj, nature, antigenreceptor, heavy, assembly, singlecell, methods, light, cancer,
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nature portfolio privacy policy full-length single-cell rna-sequencing nature communications high-throughput scrna-seq technologies advertising germline-encoded mycolyl lipid-reactive single-cell rna-seq data senior research fellow high-throughput scrna-seq methods paired single-cell rna-sequencing full-length antigen–receptor sequences b-cell antigen–receptor mrna3 social media high-performance computing cluster gain systems-level insights full-length rna-seq nature 456 nature 515 nature reverse-complemented cell-barcode sequences index reprints 3’-tag scrna-seq platforms research design base-called nanopore data adaptive k-mer weighting medical research droplet-based scrna-seq high-rate antibody-secreting cells roche–nimblegen double-capture protocol generate full-length bcr short-read sequencing data generate full-length tcr full-length mrna transcripts full-length receptor sequence droplet sc-rna-seq rapid high-throughput method single-cell rna-seq unique full-length heavy single-cell suspension preparation accurate long-read assembly wilcoxon signed-rank test immunoglobulin full-length heavy providing full-length bcr full-length cdna reads sequence full-length transcripts bioinformatics tools raw gene-expression matrices short-read sequencing fails
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headline:High-throughput targeted long-read single cell sequencing reveals the clonal and transcriptional landscape of lymphocytes
description:High-throughput single-cell RNA sequencing is a powerful technique but only generates short reads from one end of a cDNA template, limiting the reconstruction of highly diverse sequences such as antigen receptors. To overcome this limitation, we combined targeted capture and long-read sequencing of T-cell-receptor (TCR) and B-cell-receptor (BCR) mRNA transcripts with short-read transcriptome profiling of barcoded single-cell libraries generated by droplet-based partitioning. We show that Repertoire and Gene Expression by Sequencing (RAGE-Seq) can generate accurate full-length antigen receptor sequences at nucleotide resolution, infer B-cell clonal evolution and identify alternatively spliced BCR transcripts. We apply RAGE-Seq to 7138 cells sampled from the primary tumor and draining lymph node of a breast cancer patient to track transcriptome profiles of expanded lymphocyte clones across tissues. Our results demonstrate that RAGE-Seq is a powerful method for tracking the clonal evolution from large numbers of lymphocytes applicable to the study of immunity, autoimmunity and cancer. Single cell RNA sequencing generates short reads from one end of a template, providing incomplete transcript coverage and limiting identification of diverse sequences such as antigen receptors. Here the authors combine long read nanopore sequencing with short read profiling of barcoded libraries to generate full-length antigen receptor sequences.
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name:UNSW
address:
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
type:PostalAddress
type:Organization
name:UNSW
address:
name:Kirby Institute for Infection and Immunity, School of Medical Sciences, UNSW, Sydney, Australia
type:PostalAddress
type:Organization
name:Tri Giang Phan
url:http://orcid.org/0000-0002-4909-2984
affiliation:
name:Garvan Institute of Medical Research
address:
name:Garvan Institute of Medical Research, Sydney, Australia
type:PostalAddress
type:Organization
name:UNSW
address:
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
type:PostalAddress
type:Organization
name:Simon Junankar
url:http://orcid.org/0000-0002-3965-8278
affiliation:
name:Garvan Institute of Medical Research
address:
name:Garvan Institute of Medical Research, Sydney, Australia
type:PostalAddress
type:Organization
name:UNSW
address:
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
type:PostalAddress
type:Organization
name:Katherine Jackson
url:http://orcid.org/0000-0002-9952-7069
affiliation:
name:Garvan Institute of Medical Research
address:
name:Garvan Institute of Medical Research, Sydney, Australia
type:PostalAddress
type:Organization
name:UNSW
address:
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
type:PostalAddress
type:Organization
name:Christopher C. Goodnow
url:http://orcid.org/0000-0001-5296-6155
affiliation:
name:Garvan Institute of Medical Research
address:
name:Garvan Institute of Medical Research, Sydney, Australia
type:PostalAddress
type:Organization
name:UNSW
address:
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
type:PostalAddress
type:Organization
email:[email protected]
name:Martin A. Smith
url:http://orcid.org/0000-0003-2259-1713
affiliation:
name:Garvan Institute of Medical Research
address:
name:Garvan Institute of Medical Research, Sydney, Australia
type:PostalAddress
type:Organization
name:UNSW
address:
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
type:PostalAddress
type:Organization
email:[email protected]
name:Alexander Swarbrick
url:http://orcid.org/0000-0002-3051-5676
affiliation:
name:Garvan Institute of Medical Research
address:
name:Garvan Institute of Medical Research, Sydney, Australia
type:PostalAddress
type:Organization
name:UNSW
address:
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
type:PostalAddress
type:Organization
email:[email protected]
PostalAddress:
name:Garvan Institute of Medical Research, Sydney, Australia
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
name:Garvan Institute of Medical Research, Sydney, Australia
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
name:Garvan Institute of Medical Research, Sydney, Australia
name:Garvan Institute of Medical Research, Sydney, Australia
name:Garvan Institute of Medical Research, Sydney, Australia
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
name:Garvan Institute of Medical Research, Sydney, Australia
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
name:Garvan Institute of Medical Research, Sydney, Australia
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
name:Kirby Institute for Infection and Immunity, School of Medical Sciences, UNSW, Sydney, Australia
name:Garvan Institute of Medical Research, Sydney, Australia
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
name:Garvan Institute of Medical Research, Sydney, Australia
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
name:Garvan Institute of Medical Research, Sydney, Australia
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
name:Garvan Institute of Medical Research, Sydney, Australia
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
name:Garvan Institute of Medical Research, Sydney, Australia
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
name:Garvan Institute of Medical Research, Sydney, Australia
name:St Vincentâs Clinical School, Faculty of Medicine, UNSW, Sydney, Australia
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