↓ Skip to main content

Yeast Functional Genomics

Overview of attention for book
Cover of 'Yeast Functional Genomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Using RNA-seq for Analysis of Differential Gene Expression in Fungal Species.
  3. Altmetric Badge
    Chapter 2 Enhancing Structural Annotation of Yeast Genomes with RNA-Seq Data.
  4. Altmetric Badge
    Chapter 3 Pathogen Gene Expression Profiling During Infection Using a Nanostring nCounter Platform.
  5. Altmetric Badge
    Chapter 4 Comparative Transcriptomics in Yeasts.
  6. Altmetric Badge
    Chapter 5 Mapping the Transcriptome-Wide Landscape of RBP Binding Sites Using gPAR-CLIP-seq: Experimental Procedures.
  7. Altmetric Badge
    Chapter 6 Mapping the Transcriptome-Wide Landscape of RBP Binding Sites Using gPAR-CLIP-seq: Bioinformatic Analysis.
  8. Altmetric Badge
    Chapter 7 Translation Analysis at the Genome Scale by Ribosome Profiling.
  9. Altmetric Badge
    Chapter 8 Biotin-Genomic Run-On (Bio-GRO): A High-Resolution Method for the Analysis of Nascent Transcription in Yeast.
  10. Altmetric Badge
    Chapter 9 Genome-Wide Probing of RNA Structures In Vitro Using Nucleases and Deep Sequencing.
  11. Altmetric Badge
    Chapter 10 Genome-Wide Chromatin Immunoprecipitation in Candida albicans and Other Yeasts.
  12. Altmetric Badge
    Chapter 11 ChIPseq in Yeast Species: From Chromatin Immunoprecipitation to High-Throughput Sequencing and Bioinformatics Data Analyses.
  13. Altmetric Badge
    Chapter 12 Systematic Determination of Transcription Factor DNA-Binding Specificities in Yeast.
  14. Altmetric Badge
    Chapter 13 Generation and Analysis of Chromosomal Contact Maps of Yeast Species.
  15. Altmetric Badge
    Chapter 14 A Versatile Procedure to Generate Genome-Wide Spatiotemporal Program of Replication in Yeast Species.
  16. Altmetric Badge
    Chapter 15 Single-Step Affinity Purification (ssAP) and Mass Spectrometry of Macromolecular Complexes in the Yeast S. cerevisiae.
  17. Altmetric Badge
    Chapter 16 Label-Free Quantitative Proteomics in Yeast.
  18. Altmetric Badge
    Chapter 17 Profiling of Yeast Lipids by Shotgun Lipidomics.
  19. Altmetric Badge
    Chapter 18 Identification of Links Between Cellular Pathways by Genetic Interaction Mapping (GIM).
  20. Altmetric Badge
    Chapter 19 On the Mapping of Epistatic Genetic Interactions in Natural Isolates: Combining Classical Genetics and Genomics.
  21. Altmetric Badge
    Chapter 20 Experimental Evolution and Resequencing Analysis of Yeast.
  22. Altmetric Badge
    Chapter 21 Reconstruction and Analysis of the Evolution of Modular Transcriptional Regulatory Programs Using Arboretum.
  23. Altmetric Badge
    Chapter 22 Predicting Gene and Genomic Regulation in Saccharomyces cerevisiae, using the YEASTRACT Database: A Step-by-Step Guided Analysis.
Attention for Chapter 5: Mapping the Transcriptome-Wide Landscape of RBP Binding Sites Using gPAR-CLIP-seq: Experimental Procedures.
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
11 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
Mapping the Transcriptome-Wide Landscape of RBP Binding Sites Using gPAR-CLIP-seq: Experimental Procedures.
Chapter number 5
Book title
Yeast Functional Genomics
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3079-1_5
Pubmed ID
Book ISBNs
978-1-4939-3078-4, 978-1-4939-3079-1
Authors

Han, Ting, Kim, John K, Ting Han, John K. Kim

Abstract

An estimated 5-10 % of protein-coding genes in eukaryotic genomes encode RNA-binding proteins (RBPs). Through dynamic changes in RNA recognition, RBPs posttranscriptionally regulate the biogenesis, transport, inheritance, storage, and degradation of RNAs. Understanding such widespread RBP-mediated posttranscriptional regulatory mechanisms requires comprehensive discovery of the in vivo binding sites of RBPs. Here, we describe the experimental procedures of the gPAR-CLIP-seq (global photoactivatable-ribonucleoside-enhanced cross-linking and precipitation followed by deep sequencing) approach we recently developed for capturing and sequencing regions of the transcriptome bound by RBPs in budding yeast. Unlike the standard PAR-CLIP method, which identifies the bound RNA substrates for a single RBP, the gPAR-CLIP-seq method was developed to isolate and sequence all mRNA sites bound by the cellular "RBPome." The gPAR-CLIP-seq approach is readily applicable to a variety of organisms and cell lines to profile global RNA-protein interactions underlying posttranscriptional gene regulation. The complete landscape of RBP binding sites provides insights to the function of all RNA cis-regulatory elements in an organism and reveals fundamental mechanisms of posttranscriptional gene regulation.

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Professor 2 18%
Student > Doctoral Student 2 18%
Researcher 1 9%
Student > Postgraduate 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 36%
Agricultural and Biological Sciences 1 9%
Computer Science 1 9%
Immunology and Microbiology 1 9%
Medicine and Dentistry 1 9%
Other 1 9%
Unknown 2 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 June 2016.
All research outputs
#7,652,206
of 23,298,349 outputs
Outputs from Methods in molecular biology
#2,378
of 13,337 outputs
Outputs of similar age
#124,559
of 396,031 outputs
Outputs of similar age from Methods in molecular biology
#269
of 1,473 outputs
Altmetric has tracked 23,298,349 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,337 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 75% 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 396,031 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 55% of its contemporaries.
We're also able to compare this research output to 1,473 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.