↓ Skip to main content

Next-Generation MicroRNA Expression Profiling Technology

Overview of attention for book
Cover of 'Next-Generation MicroRNA Expression Profiling Technology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Controlling miRNA Regulation in Disease
  3. Altmetric Badge
    Chapter 2 Introduction to miRNA Profiling Technologies and Cross-Platform Comparison.
  4. Altmetric Badge
    Chapter 3 Stem-Loop RT-qPCR for MicroRNA Expression Profiling
  5. Altmetric Badge
    Chapter 4 Poly(T) adaptor rt-PCR.
  6. Altmetric Badge
    Chapter 5 MicroRNA In Situ Hybridization
  7. Altmetric Badge
    Chapter 6 Agilent MicroRNA Microarray Profiling System
  8. Altmetric Badge
    Chapter 7 miRNA Expression Profiling Using Illumina Universal BeadChips
  9. Altmetric Badge
    Chapter 8 MicroRNA Expression Analysis Using the Affymetrix Platform.
  10. Altmetric Badge
    Chapter 9 Individualized miRNA Assay Panels Using Optically Encoded Beads
  11. Altmetric Badge
    Chapter 10 Microfluidic Primer Extension Assay
  12. Altmetric Badge
    Chapter 11 MicroRNA Profiling Using µParaflo Microfluidic Array Technology.
  13. Altmetric Badge
    Chapter 12 MicroRNA Expression Analysis Using the Illumina MicroRNA-Seq Platform.
  14. Altmetric Badge
    Chapter 13 Next-Generation Sequencing of miRNAs with Roche 454 GS-FLX Technology: Steps for a Successful Application.
  15. Altmetric Badge
    Chapter 14 Methods for small RNA preparation for digital gene expression profiling by next-generation sequencing.
  16. Altmetric Badge
    Chapter 15 Profiling of Short RNAs Using Helicos Single-Molecule Sequencing.
  17. Altmetric Badge
    Chapter 16 deepBase: Annotation and Discovery of MicroRNAs and Other Noncoding RNAs from Deep-Sequencing Data.
  18. Altmetric Badge
    Chapter 17 PhenomiR: MicroRNAs in Human Diseases and Biological Processes
  19. Altmetric Badge
    Chapter 18 miRNA Expression Profiling: From Reference Genes to Global Mean Normalization
  20. Altmetric Badge
    Chapter 19 miRNA Data Analysis: Next-Gen Sequencing.
  21. Altmetric Badge
    Chapter 20 Integrated miRNA Expression Analysis and Target Prediction.
  22. Altmetric Badge
    Chapter 21 miRNAs in Human Cancer.
  23. Altmetric Badge
    Chapter 22 Blood-Based miRNA Preparation for Noninvasive Biomarker Development.
Attention for Chapter 11: MicroRNA Profiling Using µParaflo Microfluidic Array Technology.
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
10 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
MicroRNA Profiling Using µParaflo Microfluidic Array Technology.
Chapter number 11
Book title
Next-Generation MicroRNA Expression Profiling Technology
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-427-8_11
Pubmed ID
Book ISBNs
978-1-61779-426-1, 978-1-61779-427-8
Authors

Zhou X, Zhu Q, Eicken C, Sheng N, Zhang X, Yang L, Gao X, Xiaochuan Zhou, Qi Zhu, Christoph Eicken, Nijing Sheng, Xiaolin Zhang, Litao Yang, Xiaolian Gao, Zhou, Xiaochuan, Zhu, Qi, Eicken, Christoph, Sheng, Nijing, Zhang, Xiaolin, Yang, Litao, Gao, Xiaolian

Abstract

The diverse functions of microRNA (miRNA) molecules have drawn broad and intensive interest in various biological fields, biomedical applications, and technology development. Which are endogeneous cellular short RNA molecules found in the cytoplasm as well as in various serum fluids. miRNAs are transcriptional and translational regulatory molecules active in cell division, growth, and apoptosis (1). Dysregulated expression of miRNAs has been implicated in various disease states and has been tested as biomarker candidates (2-4). miRNAs are endogeneous cellular short RNA molecules found in the cytoplasm as well as in various serum fluids. miRNAs are transcriptional and translational regulatory molecules active in cell division, growth, and apoptosis (Bartel, Cell 116:281-97, 2004). Dysregulated expression of miRNAs has been implicated in various disease states and has been tested as biomarker candidates (He et al., Nature 435:828-833, 2005; Lu et al., Nature 435:834-838, 2005; O'Donnell, et al., Nature 435:839-843, 2005). In this chapter, we describe the methods using μParaflo(®) microfluidic oligonucleotide microarray technology for applications in miRNA profiling. One unique feature of this technology is the flexibility that provides users with the freedom to select sequence content either for focused studies wherein only the most relevant sequences are included or for discovery studies wherein the most updated sequence content such as those newly derived from deep sequencing. This chapter provides detailed information from experimental design to sample preparation, as well as data analysis for a miRNA array experiment.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Ph. D. Student 2 20%
Student > Postgraduate 2 20%
Professor > Associate Professor 1 10%
Professor 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 40%
Biochemistry, Genetics and Molecular Biology 2 20%
Immunology and Microbiology 1 10%
Social Sciences 1 10%
Neuroscience 1 10%
Other 0 0%
Unknown 1 10%

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 14 December 2011.
All research outputs
#13,849,940
of 17,359,532 outputs
Outputs from Methods in molecular biology
#5,042
of 9,915 outputs
Outputs of similar age
#167,922
of 222,119 outputs
Outputs of similar age from Methods in molecular biology
#287
of 466 outputs
Altmetric has tracked 17,359,532 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 9,915 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 30th percentile – i.e., 30% 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 222,119 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 466 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.