Evidence map›Paper›PMID 29912205›Full record

ArticleJournal of visualized experiments : JoVE2018

The MPLEx Protocol for Multi-omic Analyses of Soil Samples.

Carrie D Nicora, Kristin E Burnum-Johnson, Ernesto S Nakayasu, Cameron P Casey, Richard A White, Taniya Roy Chowdhury, Jennifer E Kyle, Young-Mo Kim, Richard D Smith, Thomas O Metz and 2 more

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 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

12 authors.

Carrie D NicoraBiological Sciences Division, Pacific Northwest National Laboratory.
Kristin E Burnum-JohnsonBiological Sciences Division, Pacific Northwest National Laboratory.
Ernesto S NakayasuBiological Sciences Division, Pacific Northwest National Laboratory.
Cameron P CaseyBiological Sciences Division, Pacific Northwest National Laboratory.
Richard A WhiteBiological Sciences Division, Pacific Northwest National Laboratory.
Taniya Roy ChowdhuryBiological Sciences Division, Pacific Northwest National Laboratory.
Jennifer E KyleBiological Sciences Division, Pacific Northwest National Laboratory.
Young-Mo KimBiological Sciences Division, Pacific Northwest National Laboratory.
Richard D SmithBiological Sciences Division, Pacific Northwest National Laboratory.
Thomas O MetzBiological Sciences Division, Pacific Northwest National Laboratory.
Janet K JanssonBiological Sciences Division, Pacific Northwest National Laboratory; janet.jansson@pnnl.gov.
Erin S BakerBiological Sciences Division, Pacific Northwest National Laboratory; Erin.Baker@pnnl.gov.

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
Platform Providing Increased Throughput, Sensitivity and Specificity for MetaboloR01ES022190 · NIEHS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI BAKER, ERIN S · 2012 to 2016
$2.2M
Pan-omic characterization of the molecular determinants of uterine receptivityR21HD084788 · NICHD · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI BURNUM-JOHNSON, KRISTIN · 2016 to 2017
$509k
NICHD NIH HHS R21 HD084788NIEHS NIH HHS P42 ES027704NIEHS NIH HHS R01 ES022190
6 · The paper itself

Abstract

Mass spectrometry (MS)-based integrated metaproteomic, metabolomic, and lipidomic (multi-omic) studies are transforming our ability to understand and characterize microbial communities in environmental and biological systems. These measurements are even enabling enhanced analyses of complex soil microbial communities, which are the most complex microbial systems known to date. Multi-omic analyses, however, do have sample preparation challenges, since separate extractions are typically needed for each omic study, thereby greatly amplifying the preparation time and amount of sample required. To address this limitation, a 3-in-1 method for the simultaneous extraction of metabolites, proteins, and lipids (MPLEx) from the same soil sample was created by adapting a solvent-based approach. This MPLEx protocol has proven to be both simple and robust for many sample types, even when utilized for limited quantities of complex soil samples. The MPLEx method also greatly enabled the rapid multi-omic measurements needed to gain a better understanding of the members of each microbial community, while evaluating the changes taking place upon biological and environmental perturbations.

Indexed as

Mass SpectrometryMetabolomicsSoilSoil

Identifiers

PMID29912205
PMCPMC6101435

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.