Evidence map›Paper›PMID 24884414›Full record

ArticleBMC genomics2014

EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics.

Ghanasyam Rallapalli, Eric M Kemen, Alexandre Robert-Seilaniantz, Cécile Segonzac, Graham J Etherington, Kee Hoon Sohn, Daniel MacLean, Jonathan D G Jones

Abstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Coupling of alternative splicing and alternative polyadenylation.Acta biochimica et biophysica Sinica · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Specific modulation of the root immune system by a community of commensal bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  7. Role ofInternational journal of molecular sciences · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Alternative Polyadenylation: Methods, Findings, and Impacts.Genomics, proteomics & bioinformatics · 2017
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

8 authors.

Ghanasyam Rallapalli
Eric M Kemen
Alexandre Robert-Seilaniantz
Cécile Segonzac
Graham J Etherington
Kee Hoon Sohn
Daniel MacLean
Jonathan D G JonesThe Sainsbury Laboratory, Norwich Research Park, Colney, Norwich, UK NR4 7UH. jonathan.jones@tsl.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/K003550/1Biotechnology and Biological Sciences Research Council BB/M003809/1
6 · The paper itself

Abstract

backgroundNext Generation Sequencing technologies have facilitated differential gene expression analysis through RNA-seq and Tag-seq methods. RNA-seq has biases associated with transcript lengths, lacks uniform coverage of regions in mRNA and requires 10-20 times more reads than a typical Tag-seq. Most existing Tag-seq methods either have biases or not high throughput due to use of restriction enzymes or enzymatic manipulation of 5' ends of mRNA or use of RNA ligations.

resultsWe have developed EXpression Profiling through Randomly Sheared cDNA tag Sequencing (EXPRSS) that employs acoustic waves to randomly shear cDNA and generate sequence tags at a relatively defined position (~150-200 bp) from the 3' end of each mRNA. Implementation of the method was verified through comparative analysis of expression data generated from EXPRSS, NlaIII-DGE and Affymetrix microarray and through qPCR quantification of selected genes. EXPRSS is a strand specific and restriction enzyme independent tag sequencing method that does not require cDNA length-based data transformations. EXPRSS is highly reproducible, is high-throughput and it also reveals alternative polyadenylation and polyadenylated antisense transcripts. It is cost-effective using barcoded multiplexing, avoids the biases of existing SAGE and derivative methods and can reveal polyadenylation position from paired-end sequencing.

conclusionsEXPRSS Tag-seq provides sensitive and reliable gene expression data and enables high-throughput expression profiling with relatively simple downstream analysis.

Indexed as

High-Throughput Nucleotide Sequencing3' Untranslated RegionsArabidopsisComputational BiologyDNA, ComplementaryDown-RegulationGene Expression ProfilingGene LibraryOligonucleotide Array Sequence AnalysisRNA, MessengerSequence Analysis, RNAUp-Regulation3' Untranslated RegionsDNA, ComplementaryRNA, Messenger

Identifiers

PMID24884414
PMCPMC4035070

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.