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Cancer Cell Signaling

Overview of attention for book
Cover of 'Cancer Cell Signaling'

Table of Contents

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    Book Overview
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    Chapter 1 Use of biguanides to improve response to chemotherapy.
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    Chapter 2 Evaluating Response to Metformin/Cisplatin Combination in Cancer Cells via Metabolic Measurement and Clonogenic Survival
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    Chapter 3 Quantifying the Autophagy-Triggering Effects of Drugs in Cell Spheroids with Live Fluorescence Microscopy
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    Chapter 4 Interdependency Between Genetic and Epigenetic Regulatory Defects in Cancer
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    Chapter 5 Experimental Strategies to Manipulate the Cellular Levels of the Multifunctional Factor CTCF.
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    Chapter 6 Use of Serum-Circulating miRNA Profiling for the Identification of Breast Cancer Biomarkers
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    Chapter 7 Prostate Cancer Detection Using a Noninvasive Method for Quantifying miRNAs
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    Chapter 8 DNA Methylation Analysis of Steroid Hormone Receptor Genes
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    Chapter 9 Control of Oncogenic miRNA Function by Light-Activated miRNA Antagomirs
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    Chapter 10 Methods for the Study of Long Noncoding RNA in Cancer Cell Signaling
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    Chapter 11 Microvesicles as Mediators of Intercellular Communication in Cancer
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    Chapter 12 In Vivo Rat Model to Study Horizontal Tumor Progression
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    Chapter 13 An In Vivo Model to Study the Effects of Tumoral Soluble Factors on the Vascular Permeability in Mice
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    Chapter 14 Use of the Tumor Repressor DEDD as a Prognostic Marker of Cancer Metastasis.
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    Chapter 15 Zebrafish-Based Systems Pharmacology of Cancer Metastasis
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    Chapter 16 A Flow Cytometry-Based Assay for the Evaluation of Antibody-Dependent Cell-Mediated Cytotoxicity (ADCC) in Cancer Cells.
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    Chapter 17 Gene Disruption Using Zinc Finger Nuclease Technology
Attention for Chapter 10: Methods for the Study of Long Noncoding RNA in Cancer Cell Signaling
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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Citations

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86 Mendeley
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1 CiteULike
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Chapter title
Methods for the Study of Long Noncoding RNA in Cancer Cell Signaling
Chapter number 10
Book title
Cancer Cell Signaling
Published in
Methods in molecular biology, February 2016
DOI 10.1007/978-1-4939-0856-1_10
Pubmed ID
Book ISBNs
978-1-4939-0855-4, 978-1-4939-0856-1
Authors

Yi Feng, Xiaowen Hu, Youyou Zhang, Dongmei Zhang, Chunsheng Li, Lin Zhang, Feng Y, Hu X, Zhang Y, Zhang D, Li C, Zhang L, Feng, Yi, Hu, Xiaowen, Zhang, Youyou, Zhang, Dongmei, Li, Chunsheng, Zhang, Lin

Abstract

With the advances in sequencing technology and transcriptome analysis, it is estimated that up to 75 % of the human genome is transcribed into RNAs. This finding prompted intensive investigations on the biological functions of noncoding RNAs and led to very exciting discoveries of microRNAs as important players in disease pathogenesis and therapeutic applications. Research on long noncoding RNAs (lncRNAs) is in its infancy, yet a broad spectrum of biological regulations has been attributed to lncRNAs. Here, we provide a collection of detailed experimental protocols for lncRNA studies, including lncRNA immunoprecipitation, lncRNA pull-down, lncRNA northern blot analysis, lncRNA in situ hybridization, and lncRNA knockdown. We hope that the information included in this chapter can speed up research on lncRNAs biology and eventually lead to the development of clinical applications with lncRNA as novel prognostic markers and therapeutic targets.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Researcher 16 19%
Student > Bachelor 10 12%
Other 5 6%
Student > Master 5 6%
Other 15 17%
Unknown 17 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 35%
Agricultural and Biological Sciences 19 22%
Neuroscience 4 5%
Environmental Science 2 2%
Medicine and Dentistry 2 2%
Other 6 7%
Unknown 23 27%
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 22 February 2016.
All research outputs
#3,778,829
of 22,769,322 outputs
Outputs from Methods in molecular biology
#966
of 13,090 outputs
Outputs of similar age
#67,569
of 396,813 outputs
Outputs of similar age from Methods in molecular biology
#152
of 1,471 outputs
Altmetric has tracked 22,769,322 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 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 92% 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 396,813 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 82% of its contemporaries.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.