Evidence map›Paper›PMID 26728944›Full record

ArticleAnalytical chemistry2016

UVliPiD: A UVPD-Based Hierarchical Approach for De Novo Characterization of Lipid A Structures.

Lindsay J Morrison, W Ryan Parker, Dustin D Holden, Jeremy C Henderson, Joseph M Boll, M Stephen Trent, Jennifer S Brodbelt

Abstract read
In one paragraph

Article in Analytical chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

7 authors.

Lindsay J MorrisonDepartment of Chemistry, University of Texas , Austin, Texas 78712, United States.
W Ryan ParkerDepartment of Chemistry, University of Texas , Austin, Texas 78712, United States.
Dustin D HoldenDepartment of Chemistry, University of Texas , Austin, Texas 78712, United States.
Jeremy C HendersonDepartment of Infectious Diseases, University of Georgia , Athens, Georgia 30602, United States.
Joseph M BollDepartment of Molecular Biosciences, University of Texas , Austin, Texas 78712, United States.
M Stephen TrentDepartment of Infectious Diseases, University of Georgia , Athens, Georgia 30602, United States.
Jennifer S BrodbeltDepartment of Chemistry, University of Texas , Austin, Texas 78712, United States.

Funding

MODIFICATION OF HELICOBACTER PYLORI LIPOPOLYSACCHARIDESR01AI064184 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · PI TRENT, MICHAEL STEPHEN · 2006 to 2015
$3.4M
The Outer Surface of Vibrio CholeraeR01AI076322 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · PI TRENT, MICHAEL STEPHEN · 2008 to 2017
$3.2M
UVPD-MS Characterization of LipopolysaccharidesR01GM103655 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BRODBELT, JENNIFER S. · 2012 to 2019
$2.3M
IRACDA Postdoctoral Program: Collaborative Opportunities for Research EducatorsK12GM102745 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BRODBELT, JENNIFER S. · 2013 to 2017
$2.2M
The Outer Surface of Vibrio choleraeR56AI076322 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · PI TRENT, MICHAEL STEPHEN · 2013 to 2013
$384k
Solving a Novel Multidrug Resistance Puzzle: Complete Loss of LipooligosaccharideF32GM113488 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BOLL, JOSEPH MICHAEL · 2015 to 2016
$109k
NIAID NIH HHS AI064184NIAID NIH HHS AI076322NIAID NIH HHS R01 AI064184NIAID NIH HHS R01 AI076322NIAID NIH HHS R56 AI076322NIGMS NIH HHS 1K12GM102745NIGMS NIH HHS F32 GM113488NIGMS NIH HHS K12 GM102745NIGMS NIH HHS R01 GM103655
6 · The paper itself

Abstract

The lipid A domain of the endotoxic lipopolysaccharide layer of Gram-negative bacteria is comprised of a diglucosamine backbone to which a variable number of variable length fatty acyl chains are anchored. Traditional characterization of these tails and their linkages by nuclear magnetic resonance (NMR) or mass spectrometry is time-consuming and necessitates databases of pre-existing structures for structural assignment. Here, we introduce an automated de novo approach for characterization of lipid A structures that is completely database-independent. A hierarchical decision-tree MS(n) method is used in conjunction with a hybrid activation technique, UVPDCID, to acquire characteristic fragmentation patterns of lipid A variants from a number of Gram-negative bacteria. Structural assignments are derived from integration of key features from three to five spectra and automated interpretation is achieved in minutes without the need for pre-existing information or candidate structures. The utility of this strategy is demonstrated for a mixture of lipid A structures from an enzymatically modified E. coli lipid A variant. A total of 27 lipid A structures were discovered, many of which were isomeric, showcasing the need for a rapid de novo approach to lipid A characterization.

Indexed as

Ultraviolet RaysEscherichia coliLipid AMass SpectrometryProtein ConformationLipid A

Identifiers

PMID26728944
PMCPMC4850738

What OpenQuestion holds

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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.