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MicroRNA Profiling

Overview of attention for book
Cover of 'MicroRNA Profiling'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 MiRNA Biogenesis and Regulation of Diseases: An Overview.
  3. Altmetric Badge
    Chapter 2 Assessment of Basic Biological Functions Exerted by miRNAs.
  4. Altmetric Badge
    Chapter 3 Extraction of miRNAs from Formalin-Fixed Paraffin-Embedded (FFPE) Tissues.
  5. Altmetric Badge
    Chapter 4 MicroRNA Profiling
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    Chapter 5 MicroRNA Profiling of Exosomes.
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    Chapter 6 MiRNA Profiling in Human Induced Pluripotent Stem Cells.
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    Chapter 7 MiRNA Expression in Cystic Fibrosis Bronchial Epithelial Cells.
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    Chapter 8 TaqMan Low Density Array: MicroRNA Profiling for Biomarker and Oncosuppressor Discovery.
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    Chapter 9 Detection of MicroRNAs in Brain Slices Using In Situ Hybridization.
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    Chapter 10 Exosomal MicroRNA Discovery in Age-Related Macular Degeneration.
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    Chapter 11 Profiling the MicroRNA Payload of Exosomes Derived from Ex Vivo Primary Colorectal Fibroblasts.
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    Chapter 12 Circulating MicroRNAs in Cancer.
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    Chapter 13 Profiling Circulating miRNAs from the Plasma of Individuals with Metabolic Syndrome.
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    Chapter 14 Manipulating MiRNA Expression to Uncover Hidden Functions.
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    Chapter 15 Analysis of the Distribution Profiles of Circulating MicroRNAs by Asymmetrical Flow Field Flow Fractionation.
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    Chapter 16 MicroRNA Expression Profiling Using Agilent One-Color Microarray.
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    Chapter 17 A Multiplex Ligation Assay for miRNA Copy Number Profiling.
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    Chapter 18 Practical Bioinformatics Analysis of MiRNA Data Using Online Tools.
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    Chapter 19 Visualization and Analysis of MiRNA-Targets Interactions Networks.
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    Chapter 20 Guidelines on Designing MicroRNA Sponges: From Construction to Stable Cell Line.
  22. Altmetric Badge
    Chapter 21 Customization of Artificial MicroRNA Design.
Attention for Chapter 4: MicroRNA Profiling
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  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Chapter title
MicroRNA Profiling
Chapter number 4
Book title
MicroRNA Profiling
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6524-3_4
Pubmed ID
Book ISBNs
978-1-4939-6522-9, 978-1-4939-6524-3
Authors

Sabu, K K, Nadiya, Fasiludeen, Anjali, Narayanannair, K. K. Sabu, Fasiludeen Nadiya, Narayanannair Anjali

Editors

Sweta Rani

Abstract

MicroRNAs (miRNAs) are a group of 18-22-nucleotide-long noncoding RNAs, which show wide array of roles in various biological and metabolic processes in both animals and plants. They are formed endogenously and have evolutionary conserved sequences. RNA quality is extremely important for sequencing miRNAs using next-generation sequencing platforms. However, isolation and quantification of miRNAs from plant samples are often technically difficult and recovery of miRNAs from total RNA might be problematic. Degradation of RNA weakens the true miRNAs present in the sample, hence it is crucial to use a protocol that effectively retains good integrity miRNAs. In this chapter, we outline few protocols that can be used to maximize the retrieval of good-quality miRNA and total RNA to be used in miRNA analysis for plants rich in polysaccharides and polyphenols.

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 43%
Student > Postgraduate 2 29%
Student > Ph. D. Student 1 14%
Student > Doctoral Student 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 43%
Agricultural and Biological Sciences 1 14%
Earth and Planetary Sciences 1 14%
Neuroscience 1 14%
Chemistry 1 14%
Other 0 0%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 November 2016.
All research outputs
#13,794,336
of 22,901,818 outputs
Outputs from Methods in molecular biology
#3,874
of 13,134 outputs
Outputs of similar age
#218,020
of 420,455 outputs
Outputs of similar age from Methods in molecular biology
#340
of 1,074 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,134 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 69% 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 420,455 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.