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Neuroepigenomics in Aging and Disease

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Cover of 'Neuroepigenomics in Aging and Disease'

Table of Contents

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    Book Overview
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    Chapter 1 MeCP2, A Modulator of Neuronal Chromatin Organization Involved in Rett Syndrome
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    Chapter 2 The Role of Noncoding RNAs in Neurodevelopmental Disorders: The Case of Rett Syndrome
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    Chapter 3 Rubinstein-Taybi Syndrome and Epigenetic Alterations
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    Chapter 4 Epigenetics of Autism Spectrum Disorder
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    Chapter 5 Eating Disorders and Epigenetics
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    Chapter 6 Drug Addiction and DNA Modifications
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    Chapter 7 Drug Addiction and Histone Code Alterations
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    Chapter 8 Anxiety and Epigenetics
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    Chapter 9 Histone Modifications in Major Depressive Disorder and Related Rodent Models
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    Chapter 10 DNA Methylation in Major Depressive Disorder
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    Chapter 11 Noncoding RNAs in Depression
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    Chapter 12 DNA Methylation in Schizophrenia
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    Chapter 13 Histone Posttranslational Modifications in Schizophrenia
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    Chapter 14 Epigenetic Mechanisms of Gene Regulation in Amyotrophic Lateral Sclerosis
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    Chapter 15 Epigenetics of Huntington’s Disease
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    Chapter 16 DNA Modifications and Alzheimer’s Disease
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    Chapter 17 Alzheimer’s Disease and Histone Code Alterations
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    Chapter 18 Alzheimer’s Disease and ncRNAs
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    Chapter 19 Epigenetics in Parkinson’s Disease
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    Chapter 20 Single-Cell Genomics Unravels Brain Cell-Type Complexity
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    Chapter 21 Epigenome Editing in the Brain
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    Chapter 22 Techniques for Single-Molecule mRNA Imaging in Living Cells
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    Chapter 23 Stem Cell Technology for (Epi)genetic Brain Disorders
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    Chapter 24 Technologies for Deciphering Epigenomic DNA Patterns
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    Chapter 25 Bioinformatics Tools for Genome-Wide Epigenetic Research
Attention for Chapter 22: Techniques for Single-Molecule mRNA Imaging in Living Cells
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Chapter title
Techniques for Single-Molecule mRNA Imaging in Living Cells
Chapter number 22
Book title
Neuroepigenomics in Aging and Disease
Published in
Advances in experimental medicine and biology, May 2017
DOI 10.1007/978-3-319-53889-1_22
Pubmed ID
Book ISBNs
978-3-31-953888-4, 978-3-31-953889-1
Authors

Kevin Czaplinski

Editors

Raul Delgado-Morales

Abstract

Typical measurement of macromolecules in a biological sample typically averages the result over all the cells or molecules within the sample, and while these types of measurements provide very useful information, they completely miss heterogeneity among the components within the sample that could be a very important aspect of the sample's function. These techniques are also limited in their ability to examine intracellular spatial orientation of molecular activity, which is often a critical component to the regulation of biological processes, particularly in cells with unique spatial relationships, such as neurons. This makes a strong case for single-cell and single-molecule analysis that allows similar novel insight into complex molecular machinery that would not be possible when pooling heterogeneous molecular states. mRNA has proven to be quite tractable to molecular analysis in single cells. Almost two decades of single-molecule studies of mRNA processing both in situ and in live cells have been facilitated by microscopy of mRNA. This has been made possible by multiplexing fluorophores in situ hybridization probes or fluorescent RNA-tag-binding protein probes. The purpose of this chapter is to describe the approaches that have made single-molecule mRNA imaging accessible, as well as to give an overview of the state of the art for techniques that are available to track mRNA in real time in living cells, highlighting the application to neuroscience.

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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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 20%
Researcher 5 20%
Student > Doctoral Student 4 16%
Student > Master 3 12%
Professor 1 4%
Other 2 8%
Unknown 5 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 52%
Agricultural and Biological Sciences 3 12%
Medicine and Dentistry 2 8%
Immunology and Microbiology 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 5 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 28 September 2017.
All research outputs
#20,421,487
of 22,973,051 outputs
Outputs from Advances in experimental medicine and biology
#3,982
of 4,957 outputs
Outputs of similar age
#272,295
of 312,881 outputs
Outputs of similar age from Advances in experimental medicine and biology
#83
of 106 outputs
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So far Altmetric has tracked 4,957 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.