Evidence map›Paper›PMID 34211161›Full record

ArticleNature biotechnology2021

Nanopore sequencing of single-cell transcriptomes with scCOLOR-seq.

Martin Philpott, Jonathan Watson, Anjan Thakurta, Tom Brown, Tom Brown, Udo Oppermann, Adam P Cribbs

Open access · hybridAbstract read
In one paragraph

Article in Nature biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
8.5field-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

62 citing papers in PubMed, 122 citations in OpenAlex.

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  18. Single-cell multi-omics in the study of digestive system cancers.Computational and structural biotechnology journal · 2024
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2 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

7 authors at 3 institutions in 2 countries.

Martin PhilpottBotnar Research Centre, Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, National Institute of Health Research Oxford Biomedical Research Unit (BRU), University of Oxford, Oxford, UK.
Jonathan WatsonATDBio, Oxford, UK.
Anjan ThakurtaOxford Centre for Translational Myeloma Research University of Oxford, Oxford, UK.
Tom BrownATDBio, Oxford, UK.ORCID http://orcid.org/0000-0002-8607-1226
Tom BrownATDBio, Oxford, UK.ORCID http://orcid.org/0000-0002-6538-3036
Udo OppermannBotnar Research Centre, Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, National Institute of Health Research Oxford Biomedical Research Unit (BRU), University of Oxford, Oxford, UK. udo.oppermann@ndorms.ox.ac.uk.ORCID http://orcid.org/0000-0001-9984-5342
Adam P CribbsBotnar Research Centre, Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, National Institute of Health Research Oxford Biomedical Research Unit (BRU), University of Oxford, Oxford, UK. adam.cribbs@ndorms.ox.ac.uk.ORCID http://orcid.org/0000-0001-5288-3077
University of Oxford · GBNuffield Orthopaedic Centre · GBATDBio (United Kingdom) · GB

Funding

Department of HealthMedical Research Council MR/V010182/1
6 · The paper itself

Abstract

Here we describe single-cell corrected long-read sequencing (scCOLOR-seq), which enables error correction of barcode and unique molecular identifier oligonucleotide sequences and permits standalone cDNA nanopore sequencing of single cells. Barcodes and unique molecular identifiers are synthesized using dimeric nucleotide building blocks that allow error detection. We illustrate the use of the method for evaluating barcode assignment accuracy, differential isoform usage in myeloma cell lines, and fusion transcript detection in a sarcoma cell line.

Indexed as

Nanopore SequencingHigh-Throughput Nucleotide SequencingProtein IsoformsTranscriptomeProtein Isoforms

Identifiers

PMID34211161
PMCPMC8668430
OpenAlexW3177450887

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.