↓ Skip to main content

miRNA Biogenesis

Overview of attention for book
Cover of 'miRNA Biogenesis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 High-Throughput Characterization of Primary microRNA Transcripts
  3. Altmetric Badge
    Chapter 2 Identifying Pri-miRNA Transcription Start Sites
  4. Altmetric Badge
    Chapter 3 Metabolic Pulse-Chase RNA Labeling for pri-miRNA Processing Dynamics
  5. Altmetric Badge
    Chapter 4 In Vitro System for Coupling RNAP II Transcription to Primary microRNA Processing and a Three-Way System for RNAP II Transcription/Splicing/microRNA Processing
  6. Altmetric Badge
    Chapter 5 Purification of Microprocessor-Associated Factors
  7. Altmetric Badge
    Chapter 6 Inhibiting Pri-miRNA Processing with Target Site Blockers
  8. Altmetric Badge
    Chapter 7 MicroRNA Analysis Using the Quantitative Real-Time PCR Reaction
  9. Altmetric Badge
    Chapter 8 MicroRNA Analysis Using Next-Generation Sequencing
  10. Altmetric Badge
    Chapter 9 Identification of microRNA Precursor-Associated Proteins
  11. Altmetric Badge
    Chapter 10 Analysis of 3′ End Modifications in microRNAs by High-Throughput Sequencing
  12. Altmetric Badge
    Chapter 11 Uncovering the Stability of Mature miRNAs by 4-Thio-Uridine Metabolic Labeling
  13. Altmetric Badge
    Chapter 12 Detection of microRNA-Target Interactions by Chimera PCR (ChimP)
  14. Altmetric Badge
    Chapter 13 High-Quality Overlapping Paired-End Reads for the Detection of A-to-I Editing on Small RNA
  15. Altmetric Badge
    Chapter 14 Targeting miRNA for Therapeutics Using a Micronome Based Method for Identification of miRNA-mRNA Pairs and Validation of Key Regulator miRNA
  16. Altmetric Badge
    Chapter 15 Method for Detection of miRNAs in Non-Model Organisms with Unreported Database
  17. Altmetric Badge
    Chapter 16 Detection and Verification of Mammalian Mirtrons by Northern Blotting
  18. Altmetric Badge
    Chapter 17 Detecting Agotrons in Ago CLIPseq Data
Attention for Chapter 14: Targeting miRNA for Therapeutics Using a Micronome Based Method for Identification of miRNA-mRNA Pairs and Validation of Key Regulator miRNA
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
7 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
Targeting miRNA for Therapeutics Using a Micronome Based Method for Identification of miRNA-mRNA Pairs and Validation of Key Regulator miRNA
Chapter number 14
Book title
miRNA Biogenesis
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-8624-8_14
Pubmed ID
Book ISBNs
978-1-4939-8623-1, 978-1-4939-8624-8
Authors

Parveen Bansal, Ashish Kumar, Sudhir Chandna, Malika Arora, Renu Bansal, Bansal, Parveen, Kumar, Ashish, Chandna, Sudhir, Arora, Malika, Bansal, Renu

Abstract

MicroRNAs are 18-22 bp long non-coding sequences and play a critical role in diverse biological processes, through modulation of gene expression at the post-transcriptional level by binding at the 3'-untranslated region of target mRNA. Consequent upon the discovery of structural and functional features of miRNA targeting, several molecular methods have been developed to identify miRNA targets. However, these methods suffer several drawbacks, including technical challenges, requirement of high cell volumes, inability to differentiate between direct and indirect targets, cell/tissue as well as experimental-specificity and imprecise binding site information. Alternatively in silico approach enables the exploration of the potential miRNA-mRNA pairs to investigate signature miRNA and proteins involved in the signaling of various diseases. Here, we describe micronome-based standard method for identification of miRNA-mRNA pairs as well as validation of key regulator miRNA.

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 %
Librarian 1 14%
Other 1 14%
Student > Ph. D. Student 1 14%
Researcher 1 14%
Professor > Associate Professor 1 14%
Other 1 14%
Unknown 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Computer Science 1 14%
Social Sciences 1 14%
Medicine and Dentistry 1 14%
Engineering 1 14%
Other 0 0%
Unknown 1 14%
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 July 2018.
All research outputs
#18,640,437
of 23,092,602 outputs
Outputs from Methods in molecular biology
#7,988
of 13,207 outputs
Outputs of similar age
#330,857
of 442,643 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,499 outputs
Altmetric has tracked 23,092,602 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 13,207 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 442,643 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.