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Cervical Cancer

Overview of attention for book
Cover of 'Cervical Cancer'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Evolution and classification of oncogenic human papillomavirus types and variants associated with cervical cancer.
  3. Altmetric Badge
    Chapter 2 A Real-Time PCR Approach Based on SPF10 Primers and the INNO-LiPA HPV Genotyping Extra Assay for the Detection and Typing of Human Papillomavirus
  4. Altmetric Badge
    Chapter 3 Replication of Human Papillomavirus in Culture
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    Chapter 4 HPV Binding Assay to Laminin-332/Integrin α6β4 on Human Keratinocytes
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    Chapter 5 Methods to Assess the Nucleocytoplasmic Shuttling of the HPV E1 Helicase and Its Effects on Cellular Proliferation and Induction of a DNA Damage Response
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    Chapter 6 Genetic Methods for Studying the Role of Viral Oncogenes in the HPV Life Cycle
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    Chapter 7 Robust HPV-18 Production in Organotypic Cultures of Primary Human Keratinocytes.
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    Chapter 8 A High-Throughput Cellular Assay to Quantify the p53-Degradation Activity of E6 from Different Human Papillomavirus Types
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    Chapter 9 Retroviral Expression of Human Cystatin Genes in HeLa Cells
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    Chapter 10 Molecular analysis of human papillomavirus virus-like particle activated langerhans cells in vitro.
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    Chapter 11 Selective Silencing of Gene Target Expression By siRNA Expression Plasmids in Human Cervical Cancer Cells.
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    Chapter 12 Silencing of E6/E7 Expression in Cervical Cancer Stem-Like Cells
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    Chapter 13 Two-Step Procedure for Evaluating Experimentally Induced DNA Damage: Texas Red and Comet Assays
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    Chapter 14 Measurement of Deubiquitinating Enzyme Activity Via a Suicidal HA-Ub-VS Probe
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    Chapter 15 Immunocytochemical Analysis of the Cervical Pap Smear
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    Chapter 16 Diagnosis of HPV-Negative, Gastric-Type Adenocarcinoma of the Endocervix.
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    Chapter 17 Targeting of the HPV-16 E7 Protein by RNA Aptamers
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    Chapter 18 The Use of MYBL2 as a Novel Candidate Biomarker of Cervical Cancer
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    Chapter 19 Fixation Methods for the Preservation of Morphology, RNAs, and Proteins in Paraffin-Embedded Human Cervical Cancer Cell Xenografts in Mice
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    Chapter 20 Assessment of the HPV DNA Methylation Status in Cervical Lesions
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    Chapter 21 MeDIP-on-Chip for Methylation Profiling
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    Chapter 22 Use of DBD-FISH for the Study of Cervical Cancer Progression
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    Chapter 23 A Quantitative and High-Throughput Assay of Human Papillomavirus DNA Replication
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    Chapter 24 Native Human Papillomavirus Production, Quantification, and Infectivity Analysis
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    Chapter 25 Functional Analysis of HPV-Like Particle-Activated Langerhans Cells In Vitro.
  27. Altmetric Badge
    Chapter 26 Assessment of the Radiation Sensitivity of Cervical Cancer Cell Lines
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    Chapter 27 Mouse Model of Cervicovaginal Papillomavirus Infection
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    Chapter 28 Establishment of Orthotopic Primary Cervix Cancer Xenografts
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    Chapter 29 Generation of k14-e7/∆n87βcat double transgenic mice as a model of cervical cancer.
Attention for Chapter 2: A Real-Time PCR Approach Based on SPF10 Primers and the INNO-LiPA HPV Genotyping Extra Assay for the Detection and Typing of Human Papillomavirus
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Chapter title
A Real-Time PCR Approach Based on SPF10 Primers and the INNO-LiPA HPV Genotyping Extra Assay for the Detection and Typing of Human Papillomavirus
Chapter number 2
Book title
Cervical Cancer
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2013-6_2
Pubmed ID
Book ISBNs
978-1-4939-2012-9, 978-1-4939-2013-6
Authors

M. Isabel Micalessi, Gaëlle A. Boulet, Johannes Bogers, Micalessi, M. Isabel, Boulet, Gaëlle A., Bogers, Johannes

Abstract

A highly sensitive SPF10 real-time PCR was developed to achieve simultaneous amplification and detection of the human papillomavirus (HPV) target. That way, LiPA analysis of the HPV-negative samples can be avoided, reducing workload and cost. Here, we describe in detail a SYBR Green I-based real-time PCR assay based on SPF10 primers using the LightCycler(®) 480 system to generate and detect HPV amplicons, which are compatible with the LiPA assay.

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

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Student > Master 4 11%
Student > Doctoral Student 3 8%
Student > Bachelor 3 8%
Other 3 8%
Other 8 22%
Unknown 8 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 27%
Medicine and Dentistry 8 22%
Agricultural and Biological Sciences 4 11%
Computer Science 2 5%
Immunology and Microbiology 2 5%
Other 2 5%
Unknown 9 24%
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 19 November 2014.
All research outputs
#18,384,336
of 22,771,140 outputs
Outputs from Methods in molecular biology
#7,867
of 13,090 outputs
Outputs of similar age
#255,662
of 352,903 outputs
Outputs of similar age from Methods in molecular biology
#479
of 996 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 352,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.