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Eukaryotic Transcriptional and Post-Transcriptional Gene Expression Regulation

Overview of attention for book
Cover of 'Eukaryotic Transcriptional and Post-Transcriptional Gene Expression Regulation'

Table of Contents

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    Book Overview
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    Chapter 1 Fluorescence Reporter-Based Genome-Wide RNA Interference Screening to Identify Alternative Splicing Regulators.
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    Chapter 2 Tandem Affinity Purification Approach Coupled to Mass Spectrometry to Identify Post-translational Modifications of Histones Associated with Chromatin-Binding Proteins.
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    Chapter 3 Efficient Preparation of High-Complexity ChIP-Seq Profiles from Early Xenopus Embryos.
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    Chapter 4 Eukaryotic Transcriptional and Post-Transcriptional Gene Expression Regulation
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    Chapter 5 Assay for Transposase-Accessible Chromatin with High-Throughput Sequencing (ATAC-Seq) Protocol for Zebrafish Embryos.
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    Chapter 6 Establishment of Time- and Cell-Specific RNAi in Caenorhabditis elegans.
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    Chapter 7 Cell-Penetrating Peptide-Mediated Delivery of Cas9 Protein and Guide RNA for Genome Editing.
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    Chapter 8 Epigenetic Analysis of Endocrine Cell Subtypes from Human Pancreatic Islets.
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    Chapter 9 eIF3 Regulation of Protein Synthesis, Tumorigenesis, and Therapeutic Response.
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    Chapter 10 High-Resolution Gene Expression Profiling of RNA Synthesis, Processing, and Decay by Metabolic Labeling of Newly Transcribed RNA Using 4-Thiouridine.
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    Chapter 11 Accurate Detection of Differential Expression and Splicing Using Low-Level Features.
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    Chapter 12 Profiling Changes in Histone Post-translational Modifications by Top-Down Mass Spectrometry.
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    Chapter 13 Determining if an mRNA is a Substrate of Nonsense-Mediated mRNA Decay in Saccharomyces cerevisiae.
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    Chapter 14 Optimizing In Vitro Pre-mRNA 3' Cleavage Efficiency: Reconstitution from Anion-Exchange Separated HeLa Cleavage Factors and from Adherent HeLa Cell Nuclear Extract.
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    Chapter 15 Eukaryotic Transcriptional and Post-Transcriptional Gene Expression Regulation
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    Chapter 16 Using an Inducible CRISPR-dCas9-KRAB Effector System to Dissect Transcriptional Regulation in Human Embryonic Stem Cells.
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    Chapter 17 In Vitro Assay to Study Histone Ubiquitination During Transcriptional Regulation.
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    Chapter 18 Eukaryotic Transcriptional and Post-Transcriptional Gene Expression Regulation
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    Chapter 19 Large-Scale RNA Interference Screening to Identify Transcriptional Regulators of a Tumor Suppressor Gene.
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    Chapter 20 Transcriptional Analysis-Based Integrative Genomics Approach to Identify Tumor-Promoting Metabolic Genes.
Attention for Chapter 15: Eukaryotic Transcriptional and Post-Transcriptional Gene Expression Regulation
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Chapter title
Eukaryotic Transcriptional and Post-Transcriptional Gene Expression Regulation
Chapter number 15
Book title
Eukaryotic Transcriptional and Post-Transcriptional Gene Expression Regulation
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6518-2_15
Pubmed ID
Book ISBNs
978-1-4939-6516-8, 978-1-4939-6518-2
Authors

Brouwer, Rutger W W, van den Hout, Mirjam C G N, van IJcken, Wilfred F J, Soler, Eric, Stadhouders, Ralph, Rutger W. W. Brouwer, Mirjam C. G. N. van den Hout, Wilfred F. J. van IJcken, Eric Soler, Ralph Stadhouders

Editors

Narendra Wajapeyee, Romi Gupta

Abstract

The development and widespread implementation of chromosome conformation capture (3C) technology has allowed unprecedented new insight into how chromosomes are folded in three-dimensional (3D) space. 3C and its derivatives have contributed tremendously to the now widely accepted view that genome topology plays an important role in many major cellular processes, at a chromosome-wide scale, but certainly also at the level of individual genetic loci. A particularly popular application of 3C technology is to study transcriptional regulation, allowing researchers to draw maps of gene regulatory connections beyond the linear genome through addition of the third dimension. In this chapter, we provide a highly detailed protocol describing 3C coupled to high-throughput sequencing (referred to as 3C-Seq or more commonly 4C-Seq), allowing the unbiased interrogation of genome-wide chromatin interactions with specific genomic regions of interest. Interactions between spatially clustered DNA fragments are revealed by crosslinking the cells with formaldehyde, digesting the genome with a restriction endonuclease and performing a proximity ligation step to link interacting genomic fragments. Next, interactions with a selected DNA fragment are extracted from the 3C library through a second round of digestion and ligation followed by an inverse PCR. The generated products are immediately compatible with high-throughput sequencing, and amplicons from different PCR reactions can easily be multiplexed to dramatically increase throughput. Finally, we provide suggestions for data analysis and visualization.

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

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 15%
Researcher 5 15%
Student > Master 4 12%
Professor > Associate Professor 3 9%
Librarian 3 9%
Other 7 21%
Unknown 6 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 33%
Agricultural and Biological Sciences 5 15%
Computer Science 2 6%
Neuroscience 2 6%
Immunology and Microbiology 1 3%
Other 3 9%
Unknown 9 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 November 2016.
All research outputs
#16,278,775
of 25,706,302 outputs
Outputs from Methods in molecular biology
#4,852
of 14,333 outputs
Outputs of similar age
#244,392
of 423,808 outputs
Outputs of similar age from Methods in molecular biology
#390
of 1,088 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,333 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 62% 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 423,808 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,088 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.