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Chaperones

Overview of attention for book
Cover of 'Chaperones'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Targeted Deletion of Hsf1, 2, and 4 Genes in Mice
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    Chapter 2 Role of Heat Shock Factors in Stress-Induced Transcription
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    Chapter 3 Monitoring of the Heat Shock Response with a Real-Time Luciferase Reporter
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    Chapter 4 Quantitative Profiling of Chaperone/Client Interactions with LUMIER Assay
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    Chapter 5 Measurement of Chaperone-Mediated Effects on Polyglutamine Protein Aggregation by the Filter Trap Assay
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    Chapter 6 Fluorescent-Linked Enzyme Chemoproteomic Strategy (FLECS) for Identifying HSP70 Inhibitors
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    Chapter 7 A High-Throughput Screen for Inhibitors of the Hsp90-Chaperone Machine
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    Chapter 8 Primary Colorectal Cells Culture as a Translational Research Model
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    Chapter 9 Cell Death and Survival Assays
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    Chapter 10 Detecting the Potential Pharmacological Synergy of Drug Combination by Viability Assays In Vitro
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    Chapter 11 Proteomic Profiling of Hsp90 Inhibitors
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    Chapter 12 Analysis of HspB1 (Hsp27) Oligomerization and Phosphorylation Patterns and Its Interaction with Specific Client Polypeptides
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    Chapter 13 Nucleotide Exchange Factors for Hsp70 Chaperones
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    Chapter 14 Determination of Hsp90 Activity Through Activation of Glucocorticoid Receptors in Yeast
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    Chapter 15 Bacterial Hsp90 ATPase Assays
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    Chapter 16 Detecting Posttranslational Modifications of Hsp90
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    Chapter 17 Chromatin Immunoprecipitation (ChIP) of Heat Shock Protein 90 (Hsp90)
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    Chapter 18 A Workflow Guide to RNA-seq Analysis of Chaperone Function and Beyond
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    Chapter 19 Computational Modeling of the Hsp90 Interactions with Cochaperones and Small-Molecule Inhibitors
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    Chapter 20 Computational Analysis of the Chaperone Interaction Networks
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    Chapter 21 Immunohistochemistry of Human Hsp60 in Health and Disease: From Autoimmunity to Cancer
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    Chapter 22 Immunohistochemical and Flow Cytometric Analysis of Intracellular and Membrane-Bound Hsp70, as a Putative Biomarker of Glioblastoma Multiforme, Using the cmHsp70.1 Monoclonal Antibody
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    Chapter 23 Detection and Analysis of Extracellular Hsp90 (eHsp90)
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    Chapter 24 Molecular Chaperone Receptors
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    Chapter 25 Creation of Recombinant Chaperone Vaccine Using Large Heat Shock Protein for Antigen-Targeted Cancer Immunotherapy
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    Chapter 26 A Novel Heat Shock Protein 70-based Vaccine Prepared from DC-Tumor Fusion Cells
  28. Altmetric Badge
    Chapter 27 Hsp70: A Cancer Target Inside and Outside the Cell
  29. Altmetric Badge
    Chapter 28 Evidence for Hsp90 Co-chaperones in Regulating Hsp90 Function and Promoting Client Protein Folding
  30. Altmetric Badge
    Chapter 29 Clinical Evaluation and Biomarker Profiling of Hsp90 Inhibitors
Attention for Chapter 18: A Workflow Guide to RNA-seq Analysis of Chaperone Function and Beyond
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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Chapter title
A Workflow Guide to RNA-seq Analysis of Chaperone Function and Beyond
Chapter number 18
Book title
Chaperones
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7477-1_18
Pubmed ID
Book ISBNs
978-1-4939-7476-4, 978-1-4939-7477-1
Authors

Benjamin J. Lang, Kristina M. Holton, Jianlin Gong, Stuart K. Calderwood

Abstract

RNA sequencing (RNA-seq) is a powerful method of transcript analysis that allows for the sequence identification and quantification of cellular transcripts. RNA-seq has many applications including differential gene expression (DE) analysis, gene fusion detection, allele-specific expression, isoform and splice variant quantification, and identification of novel genes. These applications can be used for downstream systems biology analyses such as gene ontology analysis to provide insights into cellular processes altered between biological conditions. Given the wide range of signaling pathways subject to chaperone activity as well as numerous chaperone functions in RNA metabolism, RNA-seq may provide a valuable tool for the study of chaperone proteins in biology and disease. This chapter outlines an example RNA-seq workflow to determine differentially expressed (DE) genes between two or more sample conditions and provides some considerations for RNA-seq experimental design.

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Student > Doctoral Student 2 14%
Student > Bachelor 2 14%
Professor > Associate Professor 2 14%
Student > Ph. D. Student 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 21%
Agricultural and Biological Sciences 3 21%
Computer Science 2 14%
Social Sciences 1 7%
Medicine and Dentistry 1 7%
Other 0 0%
Unknown 4 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 20 April 2018.
All research outputs
#4,438,476
of 24,666,614 outputs
Outputs from Methods in molecular biology
#1,139
of 13,875 outputs
Outputs of similar age
#90,781
of 452,829 outputs
Outputs of similar age from Methods in molecular biology
#88
of 1,486 outputs
Altmetric has tracked 24,666,614 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,875 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 91% 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 452,829 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 1,486 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.