Evidence map›Paper›PMID 23470464›Full record

ArticleScientific reports2013

Hierarchical molecular tagging to resolve long continuous sequences by massively parallel sequencing.

Sverker Lundin, Joel Gruselius, Björn Nystedt, Preben Lexow, Max Käller, Joakim Lundeberg

Abstract read
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Dissecting enzyme function with microfluidic-based deep mutational scanning.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  8. Article
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

6 authors.

Sverker LundinScience for Life Laboratory, KTH, Gene Technology, Solna, Sweden.
Joel Gruselius
Björn Nystedt
Preben Lexow
Max Käller
Joakim Lundeberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we demonstrate the use of short-read massive sequencing systems to in effect achieve longer read lengths through hierarchical molecular tagging. We show how indexed and PCR-amplified targeted libraries are degraded, sub-sampled and arrested at timed intervals to achieve pools of differing average length, each of which is indexed with a new tag. By this process, indices of sample origin, molecular origin, and degree of degradation is incorporated in order to achieve a nested hierarchical structure, later to be utilized in the data processing to order the reads over a longer distance than the sequencing system originally allows. With this protocol we show how continuous regions beyond 3000 bp can be decoded by an Illumina sequencing system, and we illustrate the potential applications by calling variants of the lambda genome, analysing TP53 in cancer cell lines, and targeting a variable canine mitochondrial region.

Indexed as

AnimalsBacteriophage lambdaCell Line, TumorDNA Barcoding, TaxonomicDogsHigh-Throughput Nucleotide SequencingHumansMitochondriaOligonucleotidesPolymerase Chain ReactionSequence Analysis, DNATumor Suppressor Protein p53OligonucleotidesTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID23470464
PMCPMC3592332

What OpenQuestion holds

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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.