Evidence map›Paper›PMID 12973302›Full record

ArticleEMBO reports2003

Parallel analysis of transcript and metabolic profiles: a new approach in systems biology.

Ewa Urbanczyk-Wochniak, Alexander Luedemann, Joachim Kopka, Joachim Selbig, Ute Roessner-Tunali, Lothar Willmitzer, Alisdair R Fernie

Abstract read
In one paragraph

Article in EMBO reports, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing 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

82 citing papers in PubMed.

  1. Article
  2. Review
  3. Plant and microbial sciences as key drivers in the development of metabolomics research.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Deep Mining from Omics Data.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Metabolic Alterations inFrontiers in molecular biosciences · 2020
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

22 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ewa Urbanczyk-WochniakMax-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Golm, Germany.
Alexander Luedemann
Joachim Kopka
Joachim Selbig
Ute Roessner-Tunali
Lothar Willmitzer
Alisdair R Fernie

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The past few years in the medical and biological sciences have been characterized by the advent of systems biology. However, despite the well-known connectivity between the molecules described by transcriptomic, proteomic and metabolomic approaches, few studies have tried to correlate parameters across the various levels of systemic description. When comparing the discriminatory power of metabolic and RNA profiling to distinguish between different potato tuber systems, using the techniques described here suggests that metabolic profiling has a higher resolution than expression profiling. When applying pairwise transcript-metabolite correlation analyses, 571 of the 26,616 possible pairs showed significant correlation, most of which was novel and included several strong correlations to nutritionally important metabolites. We believe this approach to be of high potential value in the identification of candidate genes for modifying the metabolite content of biological systems.

Indexed as

Computational BiologyGene Expression ProfilingMetabolismGenome, HumanHumansOligonucleotide Array Sequence AnalysisSolanum tuberosumStatistics as TopicSystems Theory

Identifiers

PMID12973302
PMCPMC1326402

What OpenQuestion holds

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Registered trials

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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.