Evidence map›Paper›PMID 28341148›Full record

ReviewBiochimica et biophysica acta. Molecular and cell biology of lipids2017

Lipidomics: Prospects from a technological perspective.

Alexander Triebl, Jürgen Hartler, Martin Trötzmüller, Harald C Köfeler

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta. Molecular and cell biology of lipids, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Journal of pharmaceutical analysis · 2022
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. HIGH RESOLUTION MASS SPECTROMETRY IN LIPIDOMICS.Mass spectrometry reviews · 2021
    Review
  17. Review
  18. Article
  19. Article
  20. Lipidomics from sample preparation to data analysis: a primer.Analytical and bioanalytical chemistry · 2020
    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

4 authors.

Alexander TrieblCenter for Medical Research (ZMF), Medical University of Graz, Stiftingtalstrasse 24, 8010 Graz, Austria.
Jürgen HartlerCenter for Medical Research (ZMF), Medical University of Graz, Stiftingtalstrasse 24, 8010 Graz, Austria; Institute of Molecular Biotechnology, Graz University of Technology, Petersgasse 14, 8010 Graz, Austria; Omics Center Graz, BioTechMed-Graz, Stiftingtalstrasse 24, 8010 Graz, Austria.
Martin TrötzmüllerCenter for Medical Research (ZMF), Medical University of Graz, Stiftingtalstrasse 24, 8010 Graz, Austria.
Harald C KöfelerCenter for Medical Research (ZMF), Medical University of Graz, Stiftingtalstrasse 24, 8010 Graz, Austria; Omics Center Graz, BioTechMed-Graz, Stiftingtalstrasse 24, 8010 Graz, Austria. Electronic address: harald.koefeler@medunigraz.at.

Funding

Austrian Science Fund FWF P 26148
6 · The paper itself

Abstract

Over the last two decades, lipidomics has evolved into an 'omics' technology pari passu with benchmarking 'omics' technologies, such as genomics or proteomics. The driving force behind this development was a constant advance in mass spectrometry and related technologies. The aim of this opinion article is to give the interested reader a concise but still comprehensive overview about the technological state of the art in lipidomics, current challenges and perspectives for future development. As such, this article guides through the whole workflow of lipidomics, from sampling to data analysis. This article is part of a Special Issue entitled: BBALIP_Lipidomics Opinion Articles edited by Sepp Kohlwein.

Indexed as

GenomicsHumansLipid MetabolismLipidsMass SpectrometryMetabolomicsProteomicsSpecimen HandlingWorkflowLipidsBiomarker discoveryChromatographyData processingLipid extractionLipidomicsMass spectrometry

Identifiers

PMID28341148
PMCPMC6013030

What OpenQuestion holds

Textmetadata
LicenceTDM
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.