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Yeast Genetics

Overview of attention for book
Cover of 'Yeast Genetics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Yeast Transformation by the LiAc/SS Carrier DNA/PEG Method.
  3. Altmetric Badge
    Chapter 2 Tetrad, random spore, and molecular analysis of meiotic segregation and recombination.
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    Chapter 3 PCR Mutagenesis and Gap Repair in Yeast
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    Chapter 4 PCR-Mediated Epitope Tagging of Genes in Yeast.
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    Chapter 5 Manipulating the yeast genome: deletion, mutation, and tagging by PCR.
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    Chapter 6 Preparation of yeast cells for live-cell imaging and indirect immunofluorescence.
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    Chapter 7 Single yeast cell imaging.
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    Chapter 8 Microfluidic platforms for generating dynamic environmental perturbations to study the responses of single yeast cells.
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    Chapter 9 Using Two-Hybrid Interactions to Identify Separation-of-Function Mutations.
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    Chapter 10 Synthetic Genetic Array Analysis for Global Mapping of Genetic Networks in Yeast
  12. Altmetric Badge
    Chapter 11 Chemical genetic and chemogenomic analysis in yeast.
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    Chapter 12 Phenomic assessment of genetic buffering by kinetic analysis of cell arrays.
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    Chapter 13 Detection of Short-Range Chromatin Interactions by Chromosome Conformation Capture (3C) in Yeast.
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    Chapter 14 Chromosome Conformation Capture (3C) of Tandem Arrays in Yeast.
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    Chapter 15 Global Analysis of Transcription Factor-Binding Sites in Yeast Using ChIP-Seq.
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    Chapter 16 High-density tiling microarray analysis of the full transcriptional activity of yeast.
  18. Altmetric Badge
    Chapter 17 Analysis of Silencing in Saccharomyces cerevisiae.
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    Chapter 18 A User's Guide to the Ribosomal DNA in Saccharomyces cerevisiae.
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    Chapter 19 Two-dimensional agarose gel electrophoresis for analysis of DNA replication.
  21. Altmetric Badge
    Chapter 20 Replicative life span analysis in budding yeast.
  22. Altmetric Badge
    Chapter 21 Metabolomic and lipidomic analyses of chronologically aging yeast.
Attention for Chapter 15: Global Analysis of Transcription Factor-Binding Sites in Yeast Using ChIP-Seq.
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Chapter title
Global Analysis of Transcription Factor-Binding Sites in Yeast Using ChIP-Seq.
Chapter number 15
Book title
Yeast Genetics
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-1363-3_15
Pubmed ID
Book ISBNs
978-1-4939-1362-6, 978-1-4939-1363-3
Authors

Philippe Lefrançois, Jennifer E G Gallagher, Michael Snyder, Jennifer E. G. Gallagher, Lefrançois, Philippe, Gallagher, Jennifer E. G., Snyder, Michael

Abstract

Transcription factors influence gene expression through their ability to bind DNA at specific regulatory elements. Specific DNA-protein interactions can be isolated through the chromatin immunoprecipitation (ChIP) procedure, in which DNA fragments bound by the protein of interest are recovered. ChIP is followed by high-throughput DNA sequencing (Seq) to determine the genomic provenance of ChIP DNA fragments and their relative abundance in the sample. This chapter describes a ChIP-Seq strategy adapted for budding yeast to enable the genome-wide characterization of binding sites of transcription factors (TFs) and other DNA-binding proteins in an efficient and cost-effective way.Yeast strains with epitope-tagged TFs are most commonly used for ChIP-Seq, along with their matching untagged control strains. The initial step of ChIP involves the cross-linking of DNA and proteins. Next, yeast cells are lysed and sonicated to shear chromatin into smaller fragments. An antibody against an epitope-tagged TF is used to pull down chromatin complexes containing DNA and the TF of interest. DNA is then purified and proteins degraded. Specific barcoded adapters for multiplex DNA sequencing are ligated to ChIP DNA. Short DNA sequence reads (28-36 base pairs) are parsed according to the barcode and aligned against the yeast reference genome, thus generating a nucleotide-resolution map of transcription factor-binding sites and their occupancy.

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X Demographics

The data shown below were collected from the profiles of 3 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 32%
Researcher 6 16%
Student > Master 5 14%
Professor > Associate Professor 3 8%
Professor 3 8%
Other 5 14%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 46%
Biochemistry, Genetics and Molecular Biology 7 19%
Immunology and Microbiology 3 8%
Engineering 2 5%
Chemistry 1 3%
Other 1 3%
Unknown 6 16%
Attention Score in Context

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 13 September 2014.
All research outputs
#14,518,338
of 23,262,131 outputs
Outputs from Methods in molecular biology
#4,282
of 13,319 outputs
Outputs of similar age
#176,307
of 307,642 outputs
Outputs of similar age from Methods in molecular biology
#168
of 591 outputs
Altmetric has tracked 23,262,131 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,319 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% of its peers.
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We're also able to compare this research output to 591 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.