Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Characterization of the yeast transcriptome

V E Velculescu1, L Zhang, W Zhou

  • 1Program in Human Genetics and Molecular Biology, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21231, USA.

Cell
|January 24, 1997
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features.

Diagnostic and interventional imaging·2020
Same author

Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation.

Diagnostic and interventional imaging·2019
Same author

Circulating tumor DNA as a potential marker of adjuvant chemotherapy benefit following surgery for localized pancreatic cancer.

Annals of oncology : official journal of the European Society for Medical Oncology·2019
Same author

Circulating tumor DNA as an early marker of therapeutic response in patients with metastatic colorectal cancer.

Annals of oncology : official journal of the European Society for Medical Oncology·2015
Same author

Activation of PI3Kα by physiological effectors and by oncogenic mutations: structural and dynamic effects.

Biophysical reviews·2014
Same author

Absence of germline prohibitin mutations in early-onset breast-cancer.

International journal of oncology·2011
Same journal

Co-option of lysosomal machinery shapes the evolution of the intracellular photosymbiosis supporting coral reefs.

Cell·2026
Same journal

LEF1 and niche factors determine T cell stemness across chronic diseases.

Cell·2026
Same journal

Recurrent patterns of TOP1-mediated neuronal genomic damage shared by major neurodegenerative disorders.

Cell·2026
Same journal

Four-dimensional molecular mapping from a spatial snapshot reveals the dynamics of hair follicle organogenesis.

Cell·2026
Same journal

Whole-cell particle-based digital twin simulations from 4D lattice light-sheet microscopy data.

Cell·2026
Same journal

Systematic discovery of pathogen effector functions across human pathogens and pathways.

Cell·2026
See all related articles

Researchers mapped yeast gene expression using serial analysis of gene expression. This genome-wide study revealed thousands of genes, including novel ones, and identified active transcriptional regions across chromosomes.

Area of Science:

  • Genomics
  • Molecular Biology
  • Yeast Genetics

Background:

  • Understanding the yeast transcriptome is crucial for deciphering eukaryotic gene regulation.
  • Previous studies lacked comprehensive genome-wide expression data.
  • Serial Analysis of Gene Expression (SAGE) offers a high-throughput method for transcript analysis.

Purpose of the Study:

  • To analyze the complete set of expressed genes in the yeast genome.
  • To generate chromosomal expression maps integrating positional and expression data.
  • To identify previously uncharacterized genes and regions of transcriptional activity.

Main Methods:

  • Utilized Serial Analysis of Gene Expression (SAGE) to analyze the yeast transcriptome.
  • Quantified expression levels for over 60,000 transcripts.

Related Experiment Videos

  • Integrated gene expression data with positional information for genome mapping.

    • Main Results:

    • Identified 4,665 expressed genes, with levels from 0.3 to over 200 transcripts per cell.
    • Found 1981 genes with known functions and 2684 uncharacterized genes.
    • Generated chromosomal expression maps, revealing physical regions of transcriptional activity and identifying novel genes.

    Conclusions:

    • Provided global insights into yeast gene expression patterns.
    • Demonstrated the feasibility of conducting genome-wide expression studies in eukaryotes.
    • Highlighted the potential of SAGE for discovering novel genes and regulatory regions.