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Functional Genomics

Overview of attention for book
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
  29. Altmetric Badge
    Chapter 28 Production, Purification, and Titration of First-Generation Adenovirus Vectors
Attention for Chapter 10: MicroScale Thermophoresis: A Rapid and Precise Method to Quantify Protein–Nucleic Acid Interactions in Solution
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

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Chapter title
MicroScale Thermophoresis: A Rapid and Precise Method to Quantify Protein–Nucleic Acid Interactions in Solution
Chapter number 10
Book title
Functional Genomics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7231-9_10
Pubmed ID
Book ISBNs
978-1-4939-7230-2, 978-1-4939-7231-9

Adrian Michael Mueller, Dennis Breitsprecher, Stefan Duhr, Philipp Baaske, Thomas Schubert, Gernot Längst, Mueller, Adrian Michael, Breitsprecher, Dennis, Duhr, Stefan, Baaske, Philipp, Schubert, Thomas, Längst, Gernot


Interactions between nucleic acids and proteins are driving gene expression programs and regulating the development of organisms. The binding affinities of transcription factors to their target sites are essential parameters to reveal their binding site occupancy and function in vivo. Microscale Thermophoresis (MST) is a rapid and precise method allowing for quantitative analysis of molecular interactions in solution on a microliter scale. The technique is based on the movement of molecules in temperature gradients, which is referred to as thermophoresis, and depends on molecule size, charge, and hydration shell. Since at least one of these parameters is typically affected upon binding of a ligand, the method can be used to analyze any kind of biomolecular interaction. This section provides a detailed protocol describing the analysis of DNA-protein interactions, using the transcription factor TTF-I as a model protein that recognizes a 10 bp long sequence motif.

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 26%
Student > Ph. D. Student 7 21%
Researcher 4 12%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Other 4 12%
Unknown 5 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 44%
Agricultural and Biological Sciences 6 18%
Chemistry 3 9%
Nursing and Health Professions 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 3 9%
Unknown 5 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 August 2018.
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Altmetric has tracked 13,370,991 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,479 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 80% 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 274,429 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them