Evidence map›Paper›PMID 25013183›Full record

ArticleNucleic acids research2014

Impact of next-generation sequencing error on analysis of barcoded plasmid libraries of known complexity and sequence.

Claire T Deakin, Jeffrey J Deakin, Samantha L Ginn, Paul Young, David Humphreys, Catherine M Suter, Ian E Alexander, Claus V Hallwirth

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Review
  2. Article
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  5. Review
  6. Analyzing Immunoglobulin Repertoires.Frontiers in immunology · 2018
    Review
  7. Article
  8. Article
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  16. Review
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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

8 authors.

Claire T DeakinGene Therapy Research Unit, Children's Medical Research Institute and The Children's Hospital at Westmead, Westmead, New South Wales 2145, Australia.
Jeffrey J DeakinGene Therapy Research Unit, Children's Medical Research Institute and The Children's Hospital at Westmead, Westmead, New South Wales 2145, Australia.
Samantha L GinnGene Therapy Research Unit, Children's Medical Research Institute and The Children's Hospital at Westmead, Westmead, New South Wales 2145, Australia.
Paul YoungMolecular Genetics Division, Victor Chang Cardiac Research Institute, Sydney, Darlinghurst, New South Wales 2010, Australia.
David HumphreysMolecular Genetics Division, Victor Chang Cardiac Research Institute, Sydney, Darlinghurst, New South Wales 2010, Australia.
Catherine M SuterMolecular Genetics Division, Victor Chang Cardiac Research Institute, Sydney, Darlinghurst, New South Wales 2010, Australia Faculty of Medicine, University of New South Wales, Kensington, New South Wales 2052, Australia.
Ian E AlexanderGene Therapy Research Unit, Children's Medical Research Institute and The Children's Hospital at Westmead, Westmead, New South Wales 2145, Australia Discipline of Paediatrics and Child Health, The Children's Hospital at Westmead Clinical School, The University of Sydney, Westmead, New South Wales 2145, Australia ian.alexander@health.nsw.gov.au.
Claus V HallwirthGene Therapy Research Unit, Children's Medical Research Institute and The Children's Hospital at Westmead, Westmead, New South Wales 2145, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Barcoded vectors are promising tools for investigating clonal diversity and dynamics in hematopoietic gene therapy. Analysis of clones marked with barcoded vectors requires accurate identification of potentially large numbers of individually rare barcodes, when the exact number, sequence identity and abundance are unknown. This is an inherently challenging application, and the feasibility of using contemporary next-generation sequencing technologies is unresolved. To explore this potential application empirically, without prior assumptions, we sequenced barcode libraries of known complexity. Libraries containing 1, 10 and 100 Sanger-sequenced barcodes were sequenced using an Illumina platform, with a 100-barcode library also sequenced using a SOLiD platform. Libraries containing 1 and 10 barcodes were distinguished from false barcodes generated by sequencing error by a several log-fold difference in abundance. In 100-barcode libraries, however, expected and false barcodes overlapped and could not be resolved by bioinformatic filtering and clustering strategies. In independent sequencing runs multiple false-positive barcodes appeared to be represented at higher abundance than known barcodes, despite their confirmed absence from the original library. Such errors, which potentially impact barcoding studies in an application-dependent manner, are consistent with the existence of both stochastic and systematic error, the mechanism of which is yet to be fully resolved.

Indexed as

Gene LibraryPlasmidsArtifactsHigh-Throughput Nucleotide SequencingPolymerase Chain ReactionSequence Analysis, DNA

Identifiers

PMID25013183
PMCPMC4176369

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.