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Yeasts are single-celled organisms, but unlike bacteria, they are eukaryotes (cells with a nucleus). Cell signaling in yeast is similar to signaling in other eukaryotic cells. A ligand, such as a protein or a small molecule released from a yeast cell, attaches to a receptor on the cell surface. The binding stimulates second-messenger kinases to activate or inactivate transcription factors that further regulate gene expression. Many of the yeast intracellular signaling cascades have similar...
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Video Experimental Relacionado

Updated: Jul 8, 2026

Genome-wide Quantification of Translation in Budding Yeast by Ribosome Profiling
12:57

Genome-wide Quantification of Translation in Budding Yeast by Ribosome Profiling

Published on: December 21, 2017

Caracterización del transcriptoma de la levadura

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
Resumen
Este resumen es generado por máquina.

Los investigadores mapearon la expresión génica de la levadura utilizando el análisis en serie de la expresión génica. Este estudio de todo el genoma reveló miles de genes, incluidos nuevos, e identificó regiones transcripcionales activas a través de los cromosomas.

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Área de la Ciencia:

  • La genómica es la genómica.
  • Biología Molecular Biología Molecular
  • Genética de la levadura Genética de la levadura

Sus antecedentes:

  • Comprender el transcriptoma de la levadura es crucial para descifrar la regulación génica de los eucariotas.
  • Los estudios anteriores carecían de datos completos de expresión de todo el genoma.
  • El análisis en serie de la expresión génica (SAGE) ofrece un método de alto rendimiento para el análisis de transcripciones.

Objetivo del estudio:

  • Para analizar el conjunto completo de genes expresados en el genoma de la levadura.
  • Para generar mapas de expresión cromosómica integrando datos posicionales y de expresión.
  • Para identificar genes no caracterizados previamente y regiones de actividad transcripcional.

Principales métodos:

  • Utilizó el análisis en serie de la expresión génica (SAGE) para analizar el transcriptoma de la levadura.
  • Niveles de expresión cuantificados para más de 60.000 transcripciones.
  • Datos integrados de expresión génica con información posicional para el mapeo del genoma.

Principales resultados:

  • Se identificaron 4.665 genes expresados, con niveles de 0,3 a más de 200 transcripciones por célula.
  • Se encontraron 1981 genes con funciones conocidas y 2684 genes no caracterizados.
  • Generó mapas de expresión cromosómica, revelando regiones físicas de actividad transcripcional e identificando nuevos genes.

Conclusiones:

  • Proporcionó información global sobre los patrones de expresión génica de la levadura.
  • Demostró la viabilidad de realizar estudios de expresión de todo el genoma en eucariotas.
  • Destacó el potencial de SAGE para descubrir nuevos genes y regiones reguladoras.