↓ Skip to main content

Zygotic Genome Activation

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

Table of Contents

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

Mentioned by

twitter
1 X user

Readers on

mendeley
8 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
Use of Histone K-M Mutants for the Analysis of Transcriptional Regulation in Mouse Zygotes
Chapter number 18
Book title
Zygotic Genome Activation
Published in
Methods in molecular biology, April 2017
DOI 10.1007/978-1-4939-6988-3_18
Pubmed ID
Book ISBNs
978-1-4939-6986-9, 978-1-4939-6988-3
Authors

Aoshima, Keisuke, Kimura, Takashi, Okada, Yuki, Keisuke Aoshima, Takashi Kimura, Yuki Okada

Editors

Kiho Lee

Abstract

Histone modifications are dramatically altered during the pronuclear (PN) stage of zygotes, and more markedly in paternal than maternal pronuclei. Among various types of histone modifications, lysine methylation exhibits the most dynamic changes in the PN stage . To analyze the physiological functions of histone methylations, it is therefore important to elucidate the mechanism of epigenetic reprogramming. However, loss-of-function approaches using mutant histones whose lysine residues have been substituted with arginine residues are unable to erase histone modifications at all levels, since they are incapable of entirely replacing endogenous histones. To solve this problem, we used an alternative histone mutant whose lysine residues were substituted with methionine (K-M mutants). This mutant cannot be methylated itself but also prevents methylation of endogenous histones. We also developed a simple method for analyzing global transcription levels in early preimplantation embryos, involving using a commercial kit to examine the involvement of histone methylation in zygotic gene activation.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 50%
Professor > Associate Professor 1 13%
Other 1 13%
Student > Master 1 13%
Unknown 1 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 25%
Unspecified 1 13%
Nursing and Health Professions 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Unknown 3 38%
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 May 2017.
All research outputs
#20,418,183
of 22,968,808 outputs
Outputs from Methods in molecular biology
#9,923
of 13,142 outputs
Outputs of similar age
#270,071
of 310,341 outputs
Outputs of similar age from Methods in molecular biology
#231
of 282 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,142 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% 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 310,341 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.