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Zygotic Genome Activation

Overview of attention for book
Cover of 'Zygotic Genome Activation'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Clearance of Maternal RNAs: Not a Mummy’s Embryo Anymore
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    Chapter 2 Link of Zygotic Genome Activation and Cell Cycle Control
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    Chapter 3 Role of MicroRNAs in Zygotic Genome Activation: Modulation of mRNA During Embryogenesis. - PubMed - NCBI
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    Chapter 4 Gene Expression Analysis in Mammalian Oocytes and Embryos by Quantitative Real-Time RT-PCR
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    Chapter 5 Detection of miRNA in Mammalian Oocytes and Embryos. - PubMed - NCBI
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    Chapter 6 Detection of Bidirectional Promoter-Derived lncRNAs from Small-Scale Samples Using Pre-Amplification-Free Directional RNA-seq Method
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    Chapter 7 Detection and Characterization of Small Noncoding RNAs in Mouse Gametes and Embryos Prior to Zygotic Genome Activation
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    Chapter 8 Purification of Zygotically Transcribed RNA through Metabolic Labeling of Early Zebrafish Embryos
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    Chapter 9 RNA FISH to Study Zygotic Genome Activation in Early Mouse Embryos
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    Chapter 10 Detection of RNA Polymerase II in Mouse Embryos During Zygotic Genome Activation Using Immunocytochemistry
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    Chapter 11 Immunological Staining of Global Changes in DNA Methylation in the Early Mammalian Embryo
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    Chapter 12 Single Cell Restriction Enzyme-Based Analysis of Methylation at Genomic Imprinted Regions in Preimplantation Mouse Embryos
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    Chapter 13 Use of Chemicals to Inhibit DNA Replication, Transcription, and Protein Synthesis to Study Zygotic Genome Activation
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    Chapter 14 Targeted Gene Knockdown in Early Embryos Using siRNA
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    Chapter 15 Generating Mouse Models Using Zygote Electroporation of Nucleases (ZEN) Technology with High Efficiency and Throughput
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    Chapter 16 CRISPR/Cas9-Mediated Gene Targeting during Embryogenesis in Swine
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    Chapter 17 Potential Involvement of SCF-Complex in Zygotic Genome Activation During Early Bovine Embryo Development
  19. Altmetric Badge
    Chapter 18 Use of Histone K-M Mutants for the Analysis of Transcriptional Regulation in Mouse Zygotes
Attention for Chapter 6: Detection of Bidirectional Promoter-Derived lncRNAs from Small-Scale Samples Using Pre-Amplification-Free Directional RNA-seq Method
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  • High Attention Score compared to outputs of the same age and source (94th percentile)

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Chapter title
Detection of Bidirectional Promoter-Derived lncRNAs from Small-Scale Samples Using Pre-Amplification-Free Directional RNA-seq Method
Chapter number 6
Book title
Zygotic Genome Activation
Published in
Methods in molecular biology, April 2017
DOI 10.1007/978-1-4939-6988-3_6
Pubmed ID
Book ISBNs
978-1-4939-6986-9, 978-1-4939-6988-3
Authors

Hamazaki, Nobuhiko, Nakashima, Kinichi, Hayashi, Katsuhiko, Imamura, Takuya, Nobuhiko Hamazaki, Kinichi Nakashima, Katsuhiko Hayashi, Takuya Imamura

Editors

Kiho Lee

Abstract

Development of high-throughput sequencing technologies has uncovered the immensity of the long noncoding RNA (lncRNA) world. Divergently transcribed lncRNAs from bidirectional gene promoters, called promoter-associated noncoding RNAs (pancRNAs), account for ~20% of the total number of lncRNAs, and this major fraction is involved in many biological processes, such as development and cancer formation. Recently, we have found that the pancRNAs activate their partner genes, as represented by the fact that pancIl17d, a pancRNA that is transcribed from the antisense strand of the promoter region of Interleukin 17d (Il17d) at the onset of zygotic gene activation (ZGA), is essential for mouse preimplantation development through Il17d upregulation. The discovery of the expression of a specific set of pancRNAs during ZGA was achieved by using a method that generates directional RNA-seq libraries from small-scale samples. Although there are several methods available for small-scale samples, most of them require a pre-amplification procedure that frequently generates some amplification biases toward a subset of transcripts. We provide here a highly sensitive and reproducible method based on the preparation of directional RNA-seq libraries from as little as 100 mouse oocytes or embryos without pre-amplification for the quantification of lncRNAs as well as mRNAs.

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X Demographics

The data shown below were collected from the profiles of 5 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Other 2 14%
Researcher 2 14%
Student > Master 2 14%
Student > Bachelor 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 36%
Agricultural and Biological Sciences 4 29%
Nursing and Health Professions 1 7%
Unknown 4 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 04 May 2017.
All research outputs
#3,285,449
of 22,968,808 outputs
Outputs from Methods in molecular biology
#796
of 13,142 outputs
Outputs of similar age
#62,100
of 310,341 outputs
Outputs of similar age from Methods in molecular biology
#16
of 282 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,142 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 93% 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 310,341 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 282 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.