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Meiosis

Overview of attention for book
Cover of 'Meiosis'

Table of Contents

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    Book Overview
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    Chapter 1 Genetic Approaches to Study Meiosis and Meiosis-Specific Gene Expression in Saccharomyces cerevisiae
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    Chapter 2 Quantitative Genome-Wide Measurements of Meiotic DNA Double-Strand Breaks and Protein Binding in S. pombe
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    Chapter 3 Sequencing Spo11 Oligonucleotides for Mapping Meiotic DNA Double-Strand Breaks in Yeast
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    Chapter 4 Ribosome Profiling for the Analysis of Translation During Yeast Meiosis
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    Chapter 5 Selection of G1 Phase Yeast Cells for Synchronous Meiosis and Sporulation
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    Chapter 6 Fluorescent Protein as a Tool for Investigating Meiotic Recombination in Neurospora
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    Chapter 7 High-Throughput Screening to Identify Regulators of Meiosis-Specific Gene Expression in Saccharomyces cerevisiae
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    Chapter 8 Analysis of Meiotic Chromosome-Associated Protein Dynamics Using Conditional Expression in Budding Yeast
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    Chapter 9 In Vivo Imaging of Budding Yeast Meiosis
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    Chapter 10 Sequential Immunofluorescent Light Microscopy and Electron Microscopy of Recombination Nodules During Meiotic Prophase I
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    Chapter 11 Flow Cytometry for the Isolation and Characterization of Rodent Meiocytes
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    Chapter 12 Imaging of Chromosome Dynamics in Mouse Testis Tissue by Immuno-FISH
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    Chapter 13 Imaging Chromosome Separation in Mouse Oocytes by Responsive 3D Confocal Timelapse Microscopy
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    Chapter 14 Live Imaging of Meiosis I in Late-Stage Drosophila melanogaster Oocytes
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    Chapter 15 Microscopy Methods for Analysis of Spindle Dynamics in Meiotic Drosophila Spermatocytes
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    Chapter 16 Drosophila Male Meiosis
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    Chapter 17 Analysis of Chromatin Dynamics During Drosophila Spermatogenesis
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    Chapter 18 Quantitative Modeling and Automated Analysis of Meiotic Recombination
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    Chapter 19 A Computational Approach to Study Gene Expression Networks
Attention for Chapter 7: High-Throughput Screening to Identify Regulators of Meiosis-Specific Gene Expression in Saccharomyces cerevisiae
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  • High Attention Score compared to outputs of the same age and source (88th percentile)

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Chapter title
High-Throughput Screening to Identify Regulators of Meiosis-Specific Gene Expression in Saccharomyces cerevisiae
Chapter number 7
Book title
Meiosis
Published in
Methods in molecular biology, March 2017
DOI 10.1007/978-1-4939-6340-9_7
Pubmed ID
Book ISBNs
978-1-4939-6338-6, 978-1-4939-6340-9
Authors

Kassir, Yona, Yona Kassir

Abstract

Meiosis and gamete formation are processes that are essential for sexual reproduction in all eukaryotic organisms. Multiple intracellular and extracellular signals feed into pathways that converge on transcription factors that induce the expression of meiosis-specific genes. Once triggered the meiosis-specific gene expression program proceeds in a cascade that drives progress through the events of meiosis and gamete formation. Meiosis-specific gene expression is tightly controlled by a balance of positive and negative regulatory factors that respond to a plethora of signaling pathways. The budding yeast Saccharomyces cerevisiae has proven to be an outstanding model for the dissection of gametogenesis owing to the sophisticated genetic manipulations that can be performed with the cells. It is possible to use a variety selection and screening methods to identify genes and their functions. High-throughput screening technology has been developed to allow an array of all viable yeast gene deletion mutants to be screened for phenotypes and for regulators of gene expression. This chapter describes a protocol that has been used to screen a library of homozygous diploid yeast deletion strains to identify regulators of the meiosis-specific IME1 gene.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Bachelor 1 17%
Unspecified 1 17%
Unknown 2 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 33%
Biochemistry, Genetics and Molecular Biology 1 17%
Unspecified 1 17%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 13 April 2017.
All research outputs
#6,473,419
of 22,962,258 outputs
Outputs from Methods in molecular biology
#1,965
of 13,136 outputs
Outputs of similar age
#104,673
of 308,511 outputs
Outputs of similar age from Methods in molecular biology
#33
of 303 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 13,136 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 84% 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 308,511 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 65% of its contemporaries.
We're also able to compare this research output to 303 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.