Evidence map›Paper›PMID 34929571›Full record

ArticleJournal of chromatography. A2022

A reversed phase ultra-high-performance liquid chromatography-data independent mass spectrometry method for the rapid identification of mycobacterial lipids.

Isin T Sakallioglu, Amith S Maroli, Aline De Lima Leite, Robert Powers

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of chromatography. A, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. A Reproducibility Crisis for Clinical Metabolomics Studies.Trends in analytical chemistry : TRAC · 2024
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Multiplatform untargeted metabolomics.Magnetic resonance in chemistry : MRC · 2023
    Review
  8. Article
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.

Isin T SakalliogluDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln NE 68588-0304, USA.
Amith S MaroliDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln NE 68588-0304, USA; Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln NE 68588-0304, USA.
Aline De Lima LeiteDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln NE 68588-0304, USA; Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln NE 68588-0304, USA.
Robert PowersDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln NE 68588-0304, USA; Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln NE 68588-0304, USA. Electronic address: rpowers3@unl.edu.

Funding

Targeted mass spectrometry approaches to understand CART processing and recepter interactionsP20GM113126 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI RAZAVI RIZI, MOHAMMAD · 2016 to 2025
$20.8M
EXTRAMURAL RESEARCH FACILITIES CONSTRUCTIONC06RR015468 · NCRR · UNIVERSITY OF NEBRASKA LINCOLN · PI PAUL, PREM S · 2000 to 2000
$2.0M
NCRR NIH HHS C06 RR015468NIGMS NIH HHS P20 GM113126
6 · The paper itself

Abstract

A rapid reversed-phase ultra-high-performance liquid chromatography-high resolution mass spectrometry based mycobacterial lipidomics approach is described. This method enables the separation of various lipid classes including lipids specific to mycobacterial, such as methoxy mycolic acid and α-mycolic acid. Lipid separation occurs during a relatively short runtime of 14 min on a charged surface hybrid C

Indexed as

LipidomicsLipidsAnimalsChromatography, High Pressure LiquidMass SpectrometryLipidsLipidomicsLiquid chromatographyMass spectrometryMycobacteriaMycolic acid

Identifiers

PMID34929571
PMCPMC8805281

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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.