Evidence map›Paper›PMID 20700453›Full record

ArticlePloS one2010

High-throughput SuperSAGE for digital gene expression analysis of multiple samples using next generation sequencing.

Hideo Matsumura, Kentaro Yoshida, Shujun Luo, Eiji Kimura, Takahiro Fujibe, Zayed Albertyn, Roberto A Barrero, Detlev H Krüger, Günter Kahl, Gary P Schroth and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
6.6field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 109 citations in OpenAlex.

  1. Applications of artificial intelligence multiomics in precision oncology.Journal of cancer research and clinical oncology · 2023
    Review
  2. Article
  3. Article
  4. Article
  5. Developmental toxicity and apoptosis in zebrafish embryos induced by low-dose γ-ray irradiation.Environmental science and pollution research international · 2019
    Article
  6. Article
  7. Article
  8. Improvement of Drought Tolerance in Rice (BioMed research international · 2018
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

11 authors at 6 institutions in 4 countries.

Hideo MatsumuraIwate Biotechnology Research Center, Kitakami, Japan. hideoma@shinshu-u.ac.jp
Kentaro Yoshida
Shujun Luo
Eiji Kimura
Takahiro Fujibe
Zayed Albertyn
Roberto A Barrero
Detlev H Krüger
Günter Kahl
Gary P Schroth
Ryohei Terauchi
Iwate Biotechnology Research Center · JPIllumina (United States) · USMurdoch University · AUCharité - Universitätsmedizin Berlin · DEGoethe University Frankfurt · DEIwate Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We established a protocol of the SuperSAGE technology combined with next-generation sequencing, coined "High-Throughput (HT-) SuperSAGE". SuperSAGE is a method of digital gene expression profiling that allows isolation of 26-bp tag fragments from expressed transcripts. In the present protocol, index (barcode) sequences are employed to discriminate tags from different samples. Such barcodes allow researchers to analyze digital tags from transcriptomes of many samples in a single sequencing run by simply pooling the libraries. Here, we demonstrated that HT-SuperSAGE provided highly sensitive, reproducible and accurate digital gene expression data. By increasing throughput for analysis in HT-SuperSAGE, various applications are foreseen and several examples are provided in the present study, including analyses of laser-microdissected cells, biological replicates and tag extraction using different anchoring enzymes.

Indexed as

AnimalsBase SequenceDNA Restriction EnzymesGene Expression ProfilingGene LibraryPolymerase Chain ReactionReproducibility of ResultsSequence Analysis, DNADNA Restriction Enzymes

Identifiers

PMID20700453
PMCPMC2917361
OpenAlexW2123864176

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.