Evidence map›Paper›PMID 27842059›Full record

ArticleNature methods2017

FDR-controlled metabolite annotation for high-resolution imaging mass spectrometry.

Andrew Palmer, Prasad Phapale, Ilya Chernyavsky, Regis Lavigne, Dominik Fay, Artem Tarasov, Vitaly Kovalev, Jens Fuchser, Sergey Nikolenko, Charles Pineau and 2 more

Abstract read
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In one paragraph

Article in Nature methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 278 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
278citing 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

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

  1. Pooled it
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  20. PLANCK: super-multiplex optical imaging without labeling.bioRxiv : the preprint server for biology · 2026
    Article

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

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

12 authors.

Andrew PalmerStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Prasad PhapaleStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-9487-597X
Ilya ChernyavskyCenter for Industrial Mathematics, University of Bremen, Bremen, Germany.
Regis LavigneProtim, Inserm U1085, IRSET, Rennes, France.
Dominik FayStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Artem TarasovStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Vitaly KovalevStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Jens FuchserBruker Daltonik GmbH, Bremen, Germany.ORCID 0000-0003-3947-7677
Sergey NikolenkoStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
Charles PineauProtim, Inserm U1085, IRSET, Rennes, France.
Michael BeckerBruker Daltonik GmbH, Bremen, Germany.
Theodore AlexandrovStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0001-9464-6125

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-mass-resolution imaging mass spectrometry promises to localize hundreds of metabolites in tissues, cell cultures, and agar plates with cellular resolution, but it is hampered by the lack of bioinformatics tools for automated metabolite identification. We report pySM, a framework for false discovery rate (FDR)-controlled metabolite annotation at the level of the molecular sum formula, for high-mass-resolution imaging mass spectrometry (https://github.com/alexandrovteam/pySM). We introduce a metabolite-signal match score and a target-decoy FDR estimate for spatial metabolomics.

Indexed as

MetabolomeSoftwareAnimalsBrainChromatography, LiquidComputational BiologyFalse Positive ReactionsFemaleMass SpectrometryMetabolomicsMiceMice, Inbred C57BLMolecular Imaging

Identifiers

PMID27842059

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.