Evidence map›Paper›PMID 17384733›Full record

ReviewInternational journal of biological sciences2007

Advances in swine transcriptomics.

Christopher K Tuggle, Yanfang Wang, Oliver Couture

Abstract readReview
In one paragraph

Review in International journal of biological sciences, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Genome-wide profiling of Sus scrofa circular RNAs across nine organs and three developmental stages.DNA research : an international journal for rapid publication of reports on genes and genomes · 2017
    Article
  7. Current transcriptomics in pig immunity research.Mammalian genome : official journal of the International Mammalian Genome Society · 2015
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. The porcine lung as a potential model for cystic fibrosis.American journal of physiology. Lung cellular and molecular physiology · 2008
    Review
  19. Article
  20. Advances in QTL mapping in pigs.International journal of biological sciences · 2007
    Review
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

3 authors.

Christopher K TuggleCenter for Integrated Animal Genomics, Iowa State University, Ames, IA 50011, USA.
Yanfang Wang
Oliver Couture

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The past five years have seen a tremendous rise in porcine transcriptomic data. Available porcine Expressed Sequence Tags (ESTs) have expanded greatly, with over 623,000 ESTs deposited in Genbank. ESTs have been used to expand the pig-human comparative maps, but such data has also been used in many ways to understand pig gene expression. Several methods have been used to identify genes differentially expressed (DE) in specific tissues or cell types under different treatments. These include open screening methods such as suppression subtractive hybridization, differential display, serial analysis of gene expression, and EST sequence frequency, as well as closed methods that measure expression of a defined set of sequences such as hybridization to membrane arrays and microarrays. The use of microarrays to begin large-scale transcriptome analysis has been recently reported, using either specialized or broad-coverage arrays. This review covers published results using the above techniques in the pig, as well as unpublished data provided by the research community, and reports on unpublished Affymetrix data from our group. Published and unpublished bioinformatics efforts are discussed, including recent work by our group to integrate two broad-coverage microarray platforms. We conclude by predicting experiments that will become possible with new anticipated tools and data, including the porcine genome sequence. We emphasize that the need for bioinformatics infrastructure to efficiently store and analyze the expanding amounts of gene expression data is critical, and that this deficit has emerged as a limiting factor for acceleration of genomic understanding in the pig.

Indexed as

Transcription, GeneticAnimalsComputational BiologyDatabases, GeneticExpressed Sequence TagsGene Expression ProfilingGenomicsNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionRNA, MessengerSwineRNA, Messenger

Identifiers

PMID17384733
PMCPMC1802012

What OpenQuestion holds

Textmetadata
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.