Evidence map›Paper›PMID 34235650›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Lipid and Lipoarabinomannan Isolation and Characterization.

Marie-Antoinette Lanéelle, Lucie Spina, Jérôme Nigou, Anne Lemassu, Mamadou Daffé

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Marie-Antoinette LanéelleTuberculosis & Infection Biology Department, Institut de Pharmacologie et de Biologie Structurale (IPBS), Centre National de la Recherche Scientifique (CNRS), Toulouse, France.
Lucie SpinaTuberculosis & Infection Biology Department, Institut de Pharmacologie et de Biologie Structurale (IPBS), Centre National de la Recherche Scientifique (CNRS), Toulouse, France.
Jérôme NigouTuberculosis & Infection Biology Department, Institut de Pharmacologie et de Biologie Structurale (IPBS), Centre National de la Recherche Scientifique (CNRS), Toulouse, France.
Anne LemassuTuberculosis & Infection Biology Department, Institut de Pharmacologie et de Biologie Structurale (IPBS), Centre National de la Recherche Scientifique (CNRS), Toulouse, France.
Mamadou DafféTuberculosis & Infection Biology Department, Institut de Pharmacologie et de Biologie Structurale (IPBS), Centre National de la Recherche Scientifique (CNRS), Toulouse, France. mamadou.daffe@ipbs.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The very high content of structurally diverse and biologically active lipids of exotic structures is the hallmark of Mycobacteria. As such the lipid composition is commonly used to characterize mycobacterial strains at the species and type-species levels. The present chapter describes the methods that allow the purification of the most commonly isolated biologically active lipids and those used for analyzing extractable lipids and their constituents, cell wall-linked mycolic acids (MA), and lipoarabinomannan (LAM). These involve various chromatographic techniques and analytical procedures necessary for structural and metabolic studies of mycobacterial lipids. In addition, as the use of physical methods has brought important overhang on chemical structures of the very-long-chain MA, which typify mycobacteria, NMR and mass spectrometry data of these specific fatty acids are included.

Indexed as

Cell WallLipidsLipopolysaccharidesMagnetic Resonance SpectroscopyMass SpectrometryMycobacteriumLipidslipoarabinomannanLipopolysaccharidesCell wallGlycolipidsLipid analysisLipidsMycolic acids

Identifiers

PMID34235650

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.