Evidence map›Paper›PMID 29705063›Full record

ArticleCell systems2018

LipiDex: An Integrated Software Package for High-Confidence Lipid Identification.

Paul D Hutchins, Jason D Russell, Joshua J Coon

Open access · bronzeAbstract read
In one paragraph

Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
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

83 citing papers in PubMed, 145 citations in OpenAlex.

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  20. LipiDex 2 Integrates MSAnalytical chemistry · 2024
    Article

23 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

3 authors at 1 institution in 1 country.

Paul D HutchinsDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA; Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI 53706, USA.
Jason D RussellMorgridge Institute for Research, Madison, WI 53715, USA; Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI 53706, USA.
Joshua J CoonDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA; Morgridge Institute for Research, Madison, WI 53715, USA; Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI 53706, USA; Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA. Electronic address: jcoon@chem.wisc.edu.
University of Wisconsin–Madison · US

Funding

TR&D 2 Metabolic Labels for Ultraplexed Protein Quantification p. 453P41GM108538 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2016 to 2025
$13.1M
NIGMS NIH HHS P41 GM108538
6 · The paper itself

Abstract

State-of-the-art proteomics software routinely quantifies thousands of peptides per experiment with minimal need for manual validation or processing of data. For the emerging field of discovery lipidomics via liquid chromatography-tandem mass spectrometry (LC-MS/MS), comparably mature informatics tools do not exist. Here, we introduce LipiDex, a freely available software suite that unifies and automates all stages of lipid identification, reducing hands-on processing time from hours to minutes for even the most expansive datasets. LipiDex utilizes flexible in silico fragmentation templates and lipid-optimized MS/MS spectral matching routines to confidently identify and track hundreds of lipid species and unknown compounds from diverse sample matrices. Unique spectral and chromatographic peak purity algorithms accurately quantify co-isolation and co-elution of isobaric lipids, generating identifications that match the structural resolution afforded by the LC-MS/MS experiment. During final data filtering, ionization artifacts are removed to significantly reduce dataset redundancy. LipiDex interfaces with several LC-MS/MS software packages, enabling robust lipid identification to be readily incorporated into pre-existing data workflows.

Indexed as

AlgorithmsChromatography, LiquidData AnalysisLipidsPeptidesProteomicsSoftwareTandem Mass SpectrometryLipidsPeptidesdata analysislipid fragmentationlipidomicsmass spectrometryopen-source softwarespectral library

Identifiers

PMID29705063
PMCPMC5967991
OpenAlexW2800588457

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.