↓ Skip to main content

Proteomics

Overview of attention for book
Cover of 'Proteomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Robust Protocol for Protein Extraction and Digestion
  3. Altmetric Badge
    Chapter 2 Improving Proteome Coverage and Sample Recovery with Enhanced FASP (eFASP) for Quantitative Proteomic Experiments
  4. Altmetric Badge
    Chapter 3 Proteome Characterization of a Chromatin Locus Using the Proteomics of Isolated Chromatin Segments Approach
  5. Altmetric Badge
    Chapter 4 Profiling Cell Lines Nuclear Sub-proteome
  6. Altmetric Badge
    Chapter 5 Optimized Enrichment of Phosphoproteomes by Fe-IMAC Column Chromatography
  7. Altmetric Badge
    Chapter 6 Full Membrane Protein Coverage Digestion and Quantitative Bottom-Up Mass Spectrometry Proteomics
  8. Altmetric Badge
    Chapter 7 Hydrophilic Strong Anion Exchange (hSAX) Chromatography Enables Deep Fractionation of Tissue Proteomes
  9. Altmetric Badge
    Chapter 8 High pH Reversed-Phase Micro-Columns for Simple, Sensitive, and Efficient Fractionation of Proteome and (TMT labeled) Phosphoproteome Digests
  10. Altmetric Badge
    Chapter 9 Multi-Lectin Affinity Chromatography for Separation, Identification, and Quantitation of Intact Protein Glycoforms in Complex Biological Mixtures
  11. Altmetric Badge
    Chapter 10 Parallel Exploration of Interaction Space by BioID and Affinity Purification Coupled to Mass Spectrometry
  12. Altmetric Badge
    Chapter 11 LUMIER: A Discovery Tool for Mammalian Protein Interaction Networks
  13. Altmetric Badge
    Chapter 12 Dual-Color, Multiplex Analysis of Protein Microarrays for Precision Medicine
  14. Altmetric Badge
    Chapter 13 Quantitative Proteomics Using SILAC
  15. Altmetric Badge
    Chapter 14 Relative Protein Quantification Using Tandem Mass Tag Mass Spectrometry
  16. Altmetric Badge
    Chapter 15 Pathway-Informed Discovery and Targeted Proteomic Workflows Using Mass Spectrometry
  17. Altmetric Badge
    Chapter 16 Generation of High-Quality SWATH® Acquisition Data for Label-free Quantitative Proteomics Studies Using TripleTOF® Mass Spectrometers
  18. Altmetric Badge
    Chapter 17 Annotating Mutational Effects on Proteins and Protein Interactions: Designing Novel and Revisiting Existing Protocols
  19. Altmetric Badge
    Chapter 18 Protein Micropatterning Assay: Quantitative Analysis of Protein–Protein Interactions
  20. Altmetric Badge
    Chapter 19 Designing Successful Proteomics Experiments
  21. Altmetric Badge
    Chapter 20 Automated SWATH Data Analysis Using Targeted Extraction of Ion Chromatograms
  22. Altmetric Badge
    Chapter 21 Virtualization of Legacy Instrumentation Control Computers for Improved Reliability, Operational Life, and Management
  23. Altmetric Badge
    Chapter 22 Statistical Assessment of QC Metrics on Raw LC-MS/MS Data
  24. Altmetric Badge
    Chapter 23 Data Conversion with ProteoWizard msConvert
Attention for Chapter 10: Parallel Exploration of Interaction Space by BioID and Affinity Purification Coupled to Mass Spectrometry
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
100 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Parallel Exploration of Interaction Space by BioID and Affinity Purification Coupled to Mass Spectrometry
Chapter number 10
Book title
Proteomics
Published in
Methods in molecular biology, February 2017
DOI 10.1007/978-1-4939-6747-6_10
Pubmed ID
Book ISBNs
978-1-4939-6745-2, 978-1-4939-6747-6
Authors

Geoffrey G. Hesketh, Ji-Young Youn, Payman Samavarchi-Tehrani, Brian Raught, Anne-Claude Gingras

Editors

Lucio Comai, Jonathan E. Katz, Parag Mallick

Abstract

Complete understanding of cellular function requires knowledge of the composition and dynamics of protein interaction networks, the importance of which spans all molecular cell biology fields. Mass spectrometry-based proteomics approaches are instrumental in this process, with affinity purification coupled to mass spectrometry (AP-MS) now widely used for defining interaction landscapes. Traditional AP-MS methods are well suited to providing information regarding the temporal aspects of soluble protein-protein interactions, but the requirement to maintain protein-protein interactions during cell lysis and AP means that both weak-affinity interactions and spatial information is lost. A more recently developed method called BioID employs the expression of bait proteins fused to a nonspecific biotin ligase, BirA*, that induces in vivo biotinylation of proximal proteins. Coupling this method to biotin affinity enrichment and mass spectrometry negates many of the solubility and interaction strength issues inherent in traditional AP-MS methods, and provides unparalleled spatial context for protein interactions. Here we describe the parallel implementation of both BioID and FLAG AP-MS allowing simultaneous exploration of both spatial and temporal aspects of protein interaction networks.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Canada 1 1%
Unknown 98 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Student > Master 16 16%
Student > Bachelor 13 13%
Researcher 12 12%
Student > Doctoral Student 4 4%
Other 11 11%
Unknown 22 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 40 40%
Agricultural and Biological Sciences 19 19%
Chemistry 7 7%
Immunology and Microbiology 2 2%
Computer Science 2 2%
Other 6 6%
Unknown 24 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 February 2017.
All research outputs
#18,534,624
of 22,955,959 outputs
Outputs from Methods in molecular biology
#7,935
of 13,137 outputs
Outputs of similar age
#313,258
of 424,210 outputs
Outputs of similar age from Methods in molecular biology
#783
of 1,241 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,137 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 424,210 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,241 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.