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MicroRNA and Cancer

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

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Noncoding RNAs in DNA Damage Response: Opportunities for Cancer Therapeutics
  3. Altmetric Badge
    Chapter 2 MicroRNAs in Breast Cancer: Diagnostic and Therapeutic Potential
  4. Altmetric Badge
    Chapter 3 Involvement of miRNAs and Pseudogenes in Cancer
  5. Altmetric Badge
    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
  7. Altmetric Badge
    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
  17. Altmetric Badge
    Chapter 16 MicroRNA Sequencing Data Analysis Toolkits
Attention for Chapter 12: Evaluation of MicroRNA Delivery In Vivo
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Chapter title
Evaluation of MicroRNA Delivery In Vivo
Chapter number 12
Book title
MicroRNA and Cancer
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7435-1_12
Pubmed ID
Book ISBNs
978-1-4939-7433-7, 978-1-4939-7435-1
Authors

Rikki A. M. Brown, Kirsty L. Richardson, Felicity C. Kalinowski, Michael R. Epis, Jessica L. Horsham, Tasnuva D. Kabir, Marisa H. De Pinho, Dianne J. Beveridge, Lisa M. Stuart, Larissa C. Wintle, Peter J. Leedman, Brown, Rikki A. M., Richardson, Kirsty L., Kalinowski, Felicity C., Epis, Michael R., Horsham, Jessica L., Kabir, Tasnuva D., Pinho, Marisa H. De, Beveridge, Dianne J., Stuart, Lisa M., Wintle, Larissa C., Leedman, Peter J.

Abstract

MicroRNAs (miRNAs) are a family of short noncoding RNA molecules that fine-tune expression of mRNAs. Often their altered expression is associated with a number of diseases, including cancer. Given that miRNAs target multiple genes and "difficult to drug" oncogenes, they present attractive candidates to manipulate as an anti-cancer strategy. MicroRNA-7 (miR-7) is a tumor suppressor miRNA that has been shown to target oncogenes overexpressed in cancers, such as the epidermal growth factor receptor (EGFR) and the nuclear factor-κ B subunit, RelA. Here, we describe methods for evaluating systemic delivery of miR-7 using a lipid nanoparticle formulation in an animal model. The microRNA is delivered three times, over 1 week and tissues collected 24 h after the last injection. RNA and protein are extracted from snap frozen tissues and processed to detect miRNA distribution and subsequent assessment of downstream targets and signaling mediators, respectively. Importantly, variability in efficiency of miRNA delivery will be observed between organs of the same animal and also between animals. Additionally, delivering the microRNA to organs other than the liver, particularly the brain, remains challenging. Furthermore, large variation in miRNA targets is seen both within tissues and across tissues depending on the lysis buffer used for protein extraction. Therefore, analyzing protein expression is dependent upon the method used for isolation and requires optimization for each individual application. Together, these methods will provide a foundation for those planning on assessing the efficacy of delivery of a miRNA in vivo.

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

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Researcher 5 18%
Student > Bachelor 4 14%
Student > Master 3 11%
Student > Doctoral Student 2 7%
Other 1 4%
Unknown 6 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 29%
Agricultural and Biological Sciences 6 21%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Chemical Engineering 1 4%
Immunology and Microbiology 1 4%
Other 3 11%
Unknown 8 29%
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 01 November 2017.
All research outputs
#15,482,347
of 23,007,053 outputs
Outputs from Methods in molecular biology
#5,388
of 13,159 outputs
Outputs of similar age
#269,687
of 442,275 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,498 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,159 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 442,275 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.