↓ Skip to main content

MicroRNA Detection and Target Identification

Overview of attention for book
Cover of 'MicroRNA Detection and Target Identification'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Improved Denaturation of Small RNA Duplexes and Its Application for Northern Blotting
  3. Altmetric Badge
    Chapter 2 High-Throughput RT-qPCR for the Analysis of Circulating MicroRNAs
  4. Altmetric Badge
    Chapter 3 Genome-Wide Comparison of Next-Generation Sequencing and qPCR Platforms for microRNA Profiling in Serum
  5. Altmetric Badge
    Chapter 4 Small RNA Profiling by Next-Generation Sequencing Using High-Definition Adapters
  6. Altmetric Badge
    Chapter 5 Surface Acoustic Wave Lysis and Ion-Exchange Membrane Quantification of Exosomal MicroRNA
  7. Altmetric Badge
    Chapter 6 Droplet Microfluidic Device Fabrication and Use for Isothermal Amplification and Detection of MicroRNA
  8. Altmetric Badge
    Chapter 7 Interrogation of Functional miRNA–Target Interactions by CRISPR/Cas9 Genome Engineering
  9. Altmetric Badge
    Chapter 8 Cell-Free Urinary MicroRNAs Expression in Small-Scale Experiments
  10. Altmetric Badge
    Chapter 9 Peptide-Based Isolation of Argonaute Protein Complexes Using Ago-APP
  11. Altmetric Badge
    Chapter 10 Predicting Functional MicroRNA-mRNA Interactions
  12. Altmetric Badge
    Chapter 11 Computational and Experimental Identification of Tissue-Specific MicroRNA Targets
  13. Altmetric Badge
    Chapter 12 sRNAtoolboxVM: Small RNA Analysis in a Virtual Machine
  14. Altmetric Badge
    Chapter 13 An Assessment of the Next Generation of Animal miRNA Target Prediction Algorithms
  15. Altmetric Badge
    Chapter 14 The UEA Small RNA Workbench: A Suite of Computational Tools for Small RNA Analysis
  16. Altmetric Badge
    Chapter 15 Prediction of miRNA–mRNA Interactions Using miRGate
  17. Altmetric Badge
    Chapter 16 Detection of microRNAs Using Chip-Based QuantStudio 3D Digital PCR
  18. Altmetric Badge
    Chapter 17 MiRNA Quantitation with Microelectrode Sensors Enabled by Enzymeless Electrochemical Signal Amplification
  19. Altmetric Badge
    Chapter 18 A Robust Protocol to Quantify Circulating Cancer Biomarker MicroRNAs
  20. Altmetric Badge
    Chapter 19 MicroRNAs, Regulatory Networks, and Comorbidities: Decoding Complex Systems
  21. Altmetric Badge
    Chapter 20 Label-Free Direct Detection of MiRNAs with Poly-Silicon Nanowire Biosensors
  22. Altmetric Badge
    Chapter 21 Erratum to: Cell-Free Urinary MicroRNAs Expression in Small-Scale Experiments
Attention for Chapter 4: Small RNA Profiling by Next-Generation Sequencing Using High-Definition Adapters
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Readers on

mendeley
18 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Small RNA Profiling by Next-Generation Sequencing Using High-Definition Adapters
Chapter number 4
Book title
MicroRNA Detection and Target Identification
Published in
Methods in molecular biology, April 2017
DOI 10.1007/978-1-4939-6866-4_4
Pubmed ID
Book ISBNs
978-1-4939-6864-0, 978-1-4939-6866-4
Authors

Martina Billmeier, Ping Xu, Billmeier, Martina, Xu, Ping

Editors

Tamas Dalmay

Abstract

Small RNAs (sRNAs) as key regulators of gene expression play fundamental roles in many biological processes. Next-generation sequencing (NGS) has become an important tool for sRNA discovery and profiling. However, NGS data often show bias for or against certain sequences which is mainly caused by adapter oligonucleotides that are ligated to sRNAs more or less efficiently by RNA ligases. In order to reduce ligation bias, High-definition (HD) adapters for the Illumina sequencing platform were developed. However, a large amount of direct 5' and 3' adapter ligation products are often produced when the current commercially available kits are used for cloning with HD adapters. In this chapter we describe a protocol for sRNA library construction using HD adapters with drastically reduced direct 5' adapter-3' adapter ligation product. The protocol can be used for sRNA library preparation from total RNA or sRNA of various plant, animal, insect, or fungal samples. The protocol includes total RNA extraction from plant leaf tissue and cultured mammalian cells and sRNA library construction using HD adapters.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 39%
Student > Ph. D. Student 3 17%
Student > Master 3 17%
Student > Doctoral Student 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 3 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 33%
Immunology and Microbiology 3 17%
Agricultural and Biological Sciences 2 11%
Computer Science 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 5 28%
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 26 April 2017.
All research outputs
#15,454,502
of 22,965,074 outputs
Outputs from Methods in molecular biology
#5,373
of 13,137 outputs
Outputs of similar age
#193,585
of 309,707 outputs
Outputs of similar age from Methods in molecular biology
#103
of 264 outputs
Altmetric has tracked 22,965,074 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 13,137 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 309,707 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 264 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.