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MicroRNA and Cancer

Overview of attention for book
Cover of 'MicroRNA and Cancer'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Noncoding RNAs in DNA Damage Response: Opportunities for Cancer Therapeutics
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    Chapter 2 MicroRNAs in Breast Cancer: Diagnostic and Therapeutic Potential
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    Chapter 3 Involvement of miRNAs and Pseudogenes in Cancer
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    Chapter 4 MicroRNAs Reprogram Tumor Immune Response
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    Chapter 5 Apolipoprotein B mRNA Editing Enzyme, Catalytic Polypeptide-Like Gene Expression, RNA Editing, and MicroRNAs Regulation
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    Chapter 6 MicroRNAs Change the Landscape of Cancer Resistance
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    Chapter 7 MicroRNA, Noise, and Gene Expression Regulation
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    Chapter 8 Deep Sequencing Reveals a MicroRNA Expression Signature in Triple-Negative Breast Cancer
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    Chapter 9 Detection of Plasma MicroRNA Signature in Osteosarcoma Patients
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    Chapter 10 Identification of E6/E7-Dependent MicroRNAs in HPV-Positive Cancer Cells
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    Chapter 11 Combination of Anti-miRNAs Oligonucleotides with Low Amounts of Chemotherapeutic Agents for Pancreatic Cancer Therapy
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    Chapter 12 Evaluation of MicroRNA Delivery In Vivo
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    Chapter 13 Angiogenesis Analysis by In Vitro Coculture Assays in Transwell Chambers in Ovarian Cancer
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    Chapter 14 Application of Individual qPCR Performance Parameters for Quality Control of Circulating MicroRNA Data
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    Chapter 15 Construction of Multi-Potent MicroRNA Sponge and Its Functional Evaluation
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    Chapter 16 MicroRNA Sequencing Data Analysis Toolkits
Attention for Chapter 10: Identification of E6/E7-Dependent MicroRNAs in HPV-Positive Cancer Cells
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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Citations

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Summary X Dimensions citations
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Chapter title
Identification of E6/E7-Dependent MicroRNAs in HPV-Positive Cancer Cells
Chapter number 10
Book title
MicroRNA and Cancer
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7435-1_10
Pubmed ID
29086374
Book ISBNs
978-1-4939-7433-7, 978-1-4939-7435-1
Authors

Anja Honegger, Daniela Schilling, Holger Sültmann, Karin Hoppe-Seyler, Felix Hoppe-Seyler, Honegger, Anja, Schilling, Daniela, Sültmann, Holger, Hoppe-Seyler, Karin, Hoppe-Seyler, Felix

Abstract

Oncogenic types of human papillomaviruses (HPVs) are closely linked to the development of anogenital and head and neck cancers . The expression of the viral E6 and E7 genes is crucial for the transforming activities of HPVs. There is accumulating evidence that the HPV E6/E7 oncogenes can profoundly affect the cellular microRNA (miRNA) composition. Since alterations of miRNA expression levels can contribute to cancer development and maintenance, it will be important to understand in depth the crosstalk between the HPV oncogenes and the cellular miRNA network . Here, we describe a method to identify E6/E7-dependent intracellular miRNAs by small RNA deep sequencing , upon silencing of endogenous E6/E7 expression in HPV-positive cancer cells in vitro. In addition, we provide a protocol to identify E6/E7-dependent miRNA alterations in exosomes that are secreted by HPV-positive cancer cells in vitro.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Doctoral Student 2 13%
Lecturer 1 7%
Professor 1 7%
Student > Master 1 7%
Other 2 13%
Unknown 4 27%
Readers by discipline Count As %
Medicine and Dentistry 5 33%
Agricultural and Biological Sciences 2 13%
Biochemistry, Genetics and Molecular Biology 2 13%
Unknown 6 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 15 October 2023.
All research outputs
#6,548,429
of 25,589,756 outputs
Outputs from Methods in molecular biology
#1,840
of 14,305 outputs
Outputs of similar age
#119,349
of 450,915 outputs
Outputs of similar age from Methods in molecular biology
#142
of 1,486 outputs
Altmetric has tracked 25,589,756 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 14,305 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 87% 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 450,915 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 73% 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 90% of its contemporaries.

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