High-Resolution View of the Yeast Meiotic Program Revealed by Ribosome Profiling-Reference-Cited by-同舟云学术

High-Resolution View of the Yeast Meiotic Program Revealed by Ribosome Profiling

Published:2012-02-03 Issue:6068 Volume:335 Page:552-557
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Brar Gloria A.¹,Yassour Moran²³⁴,Friedman Nir⁴⁵,Regev Aviv²³,Ingolia Nicholas T.¹,Weissman Jonathan S.¹

Affiliation:

1. Howard Hughes Medical Institute, Department of Cellular and Molecular Pharmacology, University of California, San Francisco, and California Institute for Quantitative Biosciences, San Francisco, CA 94158, USA.

2. Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA.

3. Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

4. School of Engineering and Computer Science, Hebrew University, Jerusalem 91904, Israel.

5. Alexander Silberman Institute of Life Sciences, Hebrew University, Jerusalem 91904, Israel.

Abstract

Monitoring Meiosis During meiosis, or in yeast sporulation, haploid cells are generated from diploid cells. Brar et al. (p. 552 , published online 22 December) performed a detailed analysis of messenger RNA (mRNA) abundance and protein synthesis over the course of sporulation. The production of most proteins was tightly regulated both at the mRNA level and by translational control. An unexpected complexity was observed as the cell passed through this key developmental transition, including increases in noncanonical translation from upstream regions of known RNA transcripts, which appear to be important in translational control.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference57 articles.

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3. The Transcriptional Program of Sporulation in Budding Yeast

4. Meiosis I Is Established through Division-Specific Translational Control of a Cyclin

5. Ribosome Profiling of Mouse Embryonic Stem Cells Reveals the Complexity and Dynamics of Mammalian Proteomes

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