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Functional Genomics

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Cover of 'Functional Genomics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Predicting RNA Structure with Vfold
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    Chapter 2 RNA Function Prediction
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    Chapter 3 Computational Prediction of Novel miRNAs from Genome-Wide Data
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    Chapter 4 Protein Structure Modeling with MODELLER
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    Chapter 5 Protein Function Prediction
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    Chapter 6 Capturing Three-Dimensional Genome Organization in Individual Cells by Single-Cell Hi-C
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    Chapter 7 Genome-Wide Cell Type-Specific Mapping of In Vivo Chromatin Protein Binding Using an FLP-Inducible DamID System in Drosophila
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    Chapter 8 DNA Methylation Profiling Using Long-Read Single Molecule Real-Time Bisulfite Sequencing (SMRT-BS)
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    Chapter 9 Copy Number Variation Analysis by Droplet Digital PCR
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    Chapter 10 MicroScale Thermophoresis: A Rapid and Precise Method to Quantify Protein–Nucleic Acid Interactions in Solution
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    Chapter 11 Establishment of the CRISPR/Cas9 System for Targeted Gene Disruption and Gene Tagging
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    Chapter 12 Holistic and Affordable Analyses of MicroRNA Expression Profiles Using Tagged cDNA Libraries and a Multiplex Sequencing Strategy
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    Chapter 13 MicroRNA Expression Analysis Using Small RNA Sequencing Discovery and RT-qPCR-Based Validation
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    Chapter 14 Using FirePlex™ Particle Technology for Multiplex MicroRNA Profiling Without RNA Purification
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    Chapter 15 Multiplex Real-Time PCR Using Encoded Microparticles for MicroRNA Profiling
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    Chapter 16 Optimized Whole Transcriptome Profiling of Motor Axons
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    Chapter 17 2D-DIGE in Proteomics
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    Chapter 18 STAGE-Diging in Proteomics
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    Chapter 19 Protein Arrays I: Antibody Arrays
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    Chapter 20 Protein Arrays II: Antigen Arrays
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    Chapter 21 Protein Arrays III: Reverse-Phase Protein Arrays
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    Chapter 22 Isolation of Exosomes for the Purpose of Protein Cargo Analysis with the Use of Mass Spectrometry
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    Chapter 23 Virus-Induced Gene Silencing (VIGS) and Foreign Gene Expression in Pisum sativum L. Using the “One-Step” Bean pod mottle virus (BPMV) Viral Vector
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    Chapter 24 Re-expressing Epigenetically Silenced Genes by Inducing DNA Demethylation Through Targeting of Ten-Eleven Translocation 2 to Any Given Genomic Locus
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    Chapter 25 Knockdown of Rice microRNA166 by Short Tandem Target Mimic (STTM)
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    Chapter 26 RNAi-Mediated Knockdown of Protein Expression
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    Chapter 27 Engineered Zinc Finger DNA-Binding Domains: Synthesis, Assessment of DNA-Binding Affinity, and Direct Protein Delivery to Mammalian Cells
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    Chapter 28 Production, Purification, and Titration of First-Generation Adenovirus Vectors
Attention for Chapter 18: STAGE-Diging in Proteomics
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Chapter title
STAGE-Diging in Proteomics
Chapter number 18
Book title
Functional Genomics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7231-9_18
Pubmed ID
Book ISBNs
978-1-4939-7230-2, 978-1-4939-7231-9
Authors

Paolo Soffientini, Angela Bachi

Abstract

Proteomics is nowadays a standard tool in life sciences for the analysis of protein abundance, modifications and interactions but has so far failed to enter the clinic for routine applications. New generation mass spectrometers and chromatographic systems are able to cover approximately an entire cell proteome in one run but sample preparation, in terms of time and sample recovery, is still a critical step. Here we describe a modification of the in-gel digestion method, called STAGE-diging, that reduces sample handling, decreases the analysis time and improves protein identification and quantification. This method is particularly useful for those research labs that manage different biological samples and have a limited access to MS instrumentation or are required to perform high-throughput analysis in short time like a clinical laboratory.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 60%
Researcher 1 20%
Student > Bachelor 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 80%
Agricultural and Biological Sciences 1 20%
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 09 October 2017.
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#20,449,496
of 23,005,189 outputs
Outputs from Methods in molecular biology
#9,941
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#356,165
of 421,224 outputs
Outputs of similar age from Methods in molecular biology
#842
of 1,074 outputs
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