Evidence map›Paper›PMID 31311926›Full record

ArticleNature communications2019

High-throughput targeted long-read single cell sequencing reveals the clonal and transcriptional landscape of lymphocytes.

Mandeep Singh, Ghamdan Al-Eryani, Shaun Carswell, James M Ferguson, James Blackburn, Kirston Barton, Daniel Roden, Fabio Luciani, Tri Giang Phan, Simon Junankar and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed
17.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

178 citing papers in PubMed, 340 citations in OpenAlex.

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  11. A population-scale atlas of blood and tissue in lupus nephritis.bioRxiv : the preprint server for biology · 2026
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118 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 2 countries.

Mandeep SinghGarvan Institute of Medical Research, Sydney, NSW, 2010, Australia.ORCID http://orcid.org/0000-0002-6998-3805
Ghamdan Al-EryaniGarvan Institute of Medical Research, Sydney, NSW, 2010, Australia.ORCID http://orcid.org/0000-0002-1137-1726
Shaun CarswellGarvan Institute of Medical Research, Sydney, NSW, 2010, Australia.
James M FergusonGarvan Institute of Medical Research, Sydney, NSW, 2010, Australia.ORCID http://orcid.org/0000-0002-6192-6937
James BlackburnGarvan Institute of Medical Research, Sydney, NSW, 2010, Australia.ORCID http://orcid.org/0000-0001-5216-8815
Kirston BartonGarvan Institute of Medical Research, Sydney, NSW, 2010, Australia.
Daniel RodenGarvan Institute of Medical Research, Sydney, NSW, 2010, Australia.
Fabio LucianiSt Vincent's Clinical School, Faculty of Medicine, UNSW, Sydney, NSW, 2010, Australia.
Tri Giang PhanGarvan Institute of Medical Research, Sydney, NSW, 2010, Australia.ORCID http://orcid.org/0000-0002-4909-2984
Simon JunankarGarvan Institute of Medical Research, Sydney, NSW, 2010, Australia.ORCID http://orcid.org/0000-0002-3965-8278
Katherine JacksonGarvan Institute of Medical Research, Sydney, NSW, 2010, Australia.ORCID http://orcid.org/0000-0002-9952-7069
Christopher C GoodnowGarvan Institute of Medical Research, Sydney, NSW, 2010, Australia. c.goodnow@garvan.org.au.ORCID http://orcid.org/0000-0001-5296-6155
Martin A SmithGarvan Institute of Medical Research, Sydney, NSW, 2010, Australia. martinalexandersmith@gmail.com.ORCID http://orcid.org/0000-0003-2259-1713
Alexander SwarbrickGarvan Institute of Medical Research, Sydney, NSW, 2010, Australia. a.swarbrick@garvan.org.au.ORCID http://orcid.org/0000-0002-3051-5676
Garvan Institute of Medical Research · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Clonal EvolutionGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansLymphocytesPrimary Cell CultureReceptors, Antigen, B-CellReceptors, Antigen, T-CellSequence Analysis, RNASingle-Cell AnalysisReceptors, Antigen, B-CellReceptors, Antigen, T-Cell

Identifiers

PMID31311926
PMCPMC6635368
OpenAlexW2958475422

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.