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Polyadenylation in Plants

Overview of attention for book
Cover of 'Polyadenylation in Plants'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Computational Analysis of Plant Polyadenylation Signals
  3. Altmetric Badge
    Chapter 2 Prediction of Plant mRNA Polyadenylation Sites
  4. Altmetric Badge
    Chapter 3 Extraction of Poly(A) Sites from Large-Scale RNA-seq Data.
  5. Altmetric Badge
    Chapter 4 Poly(A)-Tag Deep Sequencing Data Processing to Extract Poly(A) Sites
  6. Altmetric Badge
    Chapter 5 Analysis of Poly(A) Site Choice Using a Java-Based Clustering Algorithm
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    Chapter 6 RADPRE: A Computational Program for Identification of Differential mRNA Processing Including Alternative Polyadenylation
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    Chapter 7 Characterization of plant polyadenylation complexes by using tandem affinity purification.
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    Chapter 8 In vitro analysis of cleavage and polyadenylation in Arabidopsis.
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    Chapter 9 Production, Purification, and Assay of Recombinant Proteins for In Vitro Biochemical Analyses of the Plant Polyadenylation Complex
  11. Altmetric Badge
    Chapter 10 Detection of Disulfide Linkage by Chemical Derivatization and Mass Spectrometry
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    Chapter 11 Transient Expression Using Agroinfiltration to Study Polyadenylation in Plants
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    Chapter 12 A 3′ RACE Protocol to Confirm Polyadenylation Sites
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    Chapter 13 Phage Display Library Screening for Identification of Interacting Protein Partners
  15. Altmetric Badge
    Chapter 14 Genome-Wide Determination of Poly(A) Site Choice in Plants
  16. Altmetric Badge
    Chapter 15 DNA/RNA Hybrid Primer Mediated Poly(A) Tag Library Construction for Illumina Sequencing
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    Chapter 16 Poly(A) Tag Library Construction from 10 ng Total RNA.
  18. Altmetric Badge
    Chapter 17 A Rapid, Simple, and Inexpensive Method for the Preparation of Strand-Specific RNA-Seq Libraries
  19. Altmetric Badge
    Chapter 18 Genome-Wide Analysis of Distribution of RNA Polymerase II Isoforms Using ChIP-Seq.
Attention for Chapter 16: Poly(A) Tag Library Construction from 10 ng Total RNA.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Chapter title
Poly(A) Tag Library Construction from 10 ng Total RNA.
Chapter number 16
Book title
Polyadenylation in Plants
Published in
Methods in molecular biology, December 2014
DOI 10.1007/978-1-4939-2175-1_16
Pubmed ID
Book ISBNs
978-1-4939-2174-4, 978-1-4939-2175-1
Authors

Cao J, Li QQ, Jingyi Cao, Qingshun Quinn Li, Cao, Jingyi, Li, Qingshun Quinn

Abstract

Alternative polyadenylation has been demonstrated as a tier of gene expression regulation in eukaryotes. However, its role has not been elucidated at the cellular level. Equipped with techniques to isolate single cells by fluorescence-activated cell sorting (FACS) and laser captured micro-dissection, analysis of alternative polyadenylation in specific cell types becomes possible. We present a method to generate poly(A) tags for high-throughput sequencing (PAT-seq) libraries from very low amount of total RNA. This protocol targets the junction of the 3'-UTR and poly(A) tail of transcripts. Ten nanograms of total RNA isolated from the FACS-sorted cells was reverse-transcribed to double stranded cDNA with a anchored oligo dT(18) primer containing maximal T7 promoter sequence. Then, an RNA amplification step using in vitro transcription of T7 RNA polymerase was carried out. Achieved cRNA was fragmented by partial digestion. First strand synthesis was carried out by using a partial adaptor sequence with random 9-nt primer to introduce the adaptor at the 5' end. An anchored oligo dT primer containing adaptor sequence on 3' end was introduced through second strand cDNA synthesis. This new method has been applied to investigate polyadenylation using nanogram amount of total RNA from Arabidopsis cells.

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

Geographical breakdown

Country Count As %
South Africa 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Librarian 1 17%
Student > Master 1 17%
Student > Ph. D. Student 1 17%
Other 1 17%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 50%
Arts and Humanities 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Medicine and Dentistry 1 17%

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 19 December 2014.
All research outputs
#4,938,300
of 9,747,948 outputs
Outputs from Methods in molecular biology
#1,949
of 7,459 outputs
Outputs of similar age
#102,603
of 241,770 outputs
Outputs of similar age from Methods in molecular biology
#177
of 837 outputs
Altmetric has tracked 9,747,948 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,459 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 71% 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 241,770 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 837 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.