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Microbial Proteomics

Overview of attention for book
Cover of 'Microbial Proteomics'

Table of Contents

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    Book Overview
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    Chapter 1 Filter-Aided Sample Preparation for Proteome Analysis
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    Chapter 2 Protein Enrichment from Highly Dilute Samples with StrataClean
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    Chapter 3 Membrane Proteomics in Gram-Positive Bacteria: Two Complementary Approaches to Target the Hydrophobic Species of Proteins
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    Chapter 4 Enrichment of Cell Surface-Associated Proteins in Gram-Positive Bacteria by Biotinylation or Trypsin Shaving for Mass Spectrometry Analysis
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    Chapter 5 Preparation of Bacterial Magnetosomes for Proteome Analysis
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    Chapter 6 Analysis of Legionella Metabolism by Pathogen Vacuole Proteomics
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    Chapter 7 Detection and Identification of Low-Abundant Proteins Using HPE Gels, Fluorescent Stains, and MALDI-ToF-ToF-MS
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    Chapter 8 Applications of Difference Gel Electrophoresis (DIGE) in the Study of Microorganisms
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    Chapter 9 Proteomic Signatures in Staphylococcus aureus
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    Chapter 10 How to Assess Protein Stability: Half-Life Determination of a Regulatory Protein in Bacillus subtilis
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    Chapter 11 Absolute Protein Quantification Using AQUA-Calibrated 2D-PAGE
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    Chapter 12 Sulfur-34S and 36S Stable Isotope Labeling of Amino Acids for Quantification (SULAQ34/36) of Proteome Analyses
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    Chapter 13 Metabolic Labeling of Microorganisms with Stable Heavy Nitrogen Isotopes (15N)
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    Chapter 14 Next-Generation Trapping of Protease Substrates by Label-Free Proteomics
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    Chapter 15 In vivo Proteomics Approaches for the Analysis of Bacterial Adaptation Reactions in Host–Pathogen Settings
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    Chapter 16 Phosphopeptide Enrichment from Bacterial Samples Utilizing Titanium Oxide Affinity Chromatography
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    Chapter 17 Phosphoproteomics in Microbiology: Protocols for Studying Streptomyces coelicolor Differentiation
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    Chapter 18 Thiol-Redox Proteomics to Study Reversible Protein Thiol Oxidations in Bacteria
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    Chapter 19 Sequential Isolation of DNA, RNA, Protein, and Metabolite Fractions from Murine Organs and Intestinal Contents for Integrated Omics of Host–Microbiota Interactions
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    Chapter 20 Utilization of a Detergent-Based Method for Direct Microbial Cellular Lysis/Proteome Extraction from Soil Samples for Metaproteomics Studies
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    Chapter 21 Sample Preparation for Metaproteome Analyses of Soil and Leaf Litter
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    Chapter 22 Centrifugation-Based Enrichment of Bacterial Cell Populations for Metaproteomic Studies on Bacteria–Invertebrate Symbioses
Attention for Chapter 19: Sequential Isolation of DNA, RNA, Protein, and Metabolite Fractions from Murine Organs and Intestinal Contents for Integrated Omics of Host–Microbiota Interactions
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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Chapter title
Sequential Isolation of DNA, RNA, Protein, and Metabolite Fractions from Murine Organs and Intestinal Contents for Integrated Omics of Host–Microbiota Interactions
Chapter number 19
Book title
Microbial Proteomics
Published in
Methods in molecular biology, September 2018
DOI 10.1007/978-1-4939-8695-8_19
Pubmed ID
Book ISBNs
978-1-4939-8693-4, 978-1-4939-8695-8
Authors

Pranjul Shah, Emilie E. L. Muller, Laura A. Lebrun, Linda Wampach, Paul Wilmes, Shah, Pranjul, Muller, Emilie E. L., Lebrun, Laura A., Wampach, Linda, Wilmes, Paul

Abstract

The gastrointestinal microbiome plays a central role in health and disease. Imbalances in the microbiome, also referred to as dysbiosis, have recently been associated with a number of human idiopathic diseases ranging from metabolic to neurodegenerative. However, to causally link specific microorganisms or dysbiotic communities with tissue-specific and/or systemic disease-associated phenotypes, systematic in vivo studies are fundamental. Gnotobiotic mouse models have proven to be particularly useful for the elucidation of microbiota-associated characteristics as they provide a means to conduct targeted perturbations followed by analyses of induced localized and systemic effects. Here, we describe a methodology in the framework of systems biology which allows the comprehensive isolation of high quality biomolecular fractions (DNA, RNA, proteins and metabolites) from limited and/or heterogeneous sample material derived from murine brain, liver, and colon tissues, as well as from intestinal contents (fecal pellets and fecal masses). The obtained biomolecular fractions are compatible with current high-throughput genomic, transcriptomic, proteomic, and metabolomic analyses. The resulting data fulfills the premise of systematic measurements and allows the detailed study of tissue-specific and/or systemic effects of host-microbiota interactions in relation to health and disease.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 25%
Student > Master 3 19%
Student > Ph. D. Student 2 13%
Unspecified 1 6%
Other 1 6%
Other 2 13%
Unknown 3 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 19%
Agricultural and Biological Sciences 3 19%
Medicine and Dentistry 2 13%
Immunology and Microbiology 1 6%
Unspecified 1 6%
Other 2 13%
Unknown 4 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 October 2018.
All research outputs
#3,663,900
of 23,105,443 outputs
Outputs from Methods in molecular biology
#899
of 13,223 outputs
Outputs of similar age
#72,968
of 341,808 outputs
Outputs of similar age from Methods in molecular biology
#12
of 225 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,223 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 341,808 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.