Evidence map›Paper›PMID 27559751›Full record

ArticleJournal of proteome research2016

Development of an Integrated Pipeline for Profiling Microbial Proteins from Mouse Fecal Samples by LC-MS/MS.

Jing Wu, Jianhui Zhu, Haidi Yin, Xinhua Liu, Mingrui An, Nicholas A Pudlo, Eric C Martens, Grace Y Chen, David M Lubman

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Jing WuDepartment of Surgery, University of Michigan , Ann Arbor, Michigan 48109, United States.
Jianhui ZhuDepartment of Surgery, University of Michigan , Ann Arbor, Michigan 48109, United States.
Haidi YinDepartment of Surgery, University of Michigan , Ann Arbor, Michigan 48109, United States.
Xinhua LiuDepartment of Surgery, University of Michigan , Ann Arbor, Michigan 48109, United States.
Mingrui AnDepartment of Surgery, University of Michigan , Ann Arbor, Michigan 48109, United States.
Nicholas A PudloDepartment of Microbiology and Immunology, University of Michigan , Ann Arbor, Michigan 48109, United States.
Eric C MartensDepartment of Microbiology and Immunology, University of Michigan , Ann Arbor, Michigan 48109, United States.
Grace Y ChenDivision of Hematology/Oncology, Department of Internal Medicine, University of Michigan , Ann Arbor, Michigan 48109, United States.
David M LubmanDepartment of Surgery, University of Michigan , Ann Arbor, Michigan 48109, United States.
University of Michigan–Ann Arbor · USShanghai University of Traditional Chinese Medicine · CN

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI Julie Lynn Boerner · 1985 to 2026
$68.4M
Translational Research in GI CancerP50CA130810 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRENNER, DEAN E. · 2010 to 2016
$11.8M
Pilot Project ProgramP30ES020957 · NIEHS · WAYNE STATE UNIVERSITY · PI RUDEN, DOUGLAS M · 2014 to 2021
$10.1M
Orbitrap Velos with ETD for Wayne State ProteomicsS10OD010700 · OD · WAYNE STATE UNIVERSITY · PI STEMMER, PAUL M · 2012 to 2012
$575k
Identifying bacterial regulators of tumorigenesisR21CA191744 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHEN, GRACE Y., LUBMAN, DAVID M. · 2015 to 2016
$371k
(10.) The Gut Microbiome and Responses to Neoadjuvant Chemoradiation in Rectal Cancer PatientsR21CA205636 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHEN, GRACE Y. · 2016 to 2017
$371k
NCI NIH HHS P30 CA022453NCI NIH HHS P50 CA130810NCI NIH HHS R21 CA191744NCI NIH HHS R21 CA205636NIEHS NIH HHS P30 ES020957NIH HHS S10 OD010700
6 · The paper itself

Abstract

Metaproteomics is one approach to analyze the functional capacity of the gut microbiome but is limited by the ability to evenly extract proteins from diverse organisms within the gut. Herein, we have developed a pipeline to optimize sample preparation of stool obtained from germ-free (GF) mice that were gavaged a defined community of 11 bacterial strains isolated from the human gut. With 64% more proteins identified, bead-beating was confirmed to be an indispensable step for the extraction of bacterial proteins, especially for Gram-positive bacteria. Bacterial enrichment from mouse fecal samples was further optimized by evaluating three different methods: (1) a high-speed differential centrifugation (HCE) or (2) a low-speed differential centrifugation (LCE) and (3) a filter-aided method (FA). The HCE method was associated with dramatic loss of bacteria and 71% less recovery of bacterial proteins than the LCE method. Compared with LCE, the FA method also showed dramatic loss of the amount of bacteria recovered and decreased protein identifications from Gram-positive bacteria in the stool samples. Ultimately, LCE may provide an alternative and complementary method for enriching bacteria from small amounts of mouse fecal samples, which could aid in investigating bacterial function in health and disease.

Indexed as

Gastrointestinal MicrobiomeAnimalsBacterial ProteinsCentrifugation, Density GradientChemistry Techniques, AnalyticalFecesFiltrationGram-Positive BacteriaHumansMiceBacterial Proteinsbead-beatingLC−MS/MSmetaproteomemicrobial enrichmentprotein extraction

Identifiers

PMID27559751
PMCPMC5291289
OpenAlexW2509635329

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.