Unknown

Dataset Information

0

Principles of cellular resource allocation revealed by condition-dependent proteome profiling.


ABSTRACT: Growing cells coordinate protein translation with metabolic rates. Central to this coordination is ribosome production. Ribosomes drive cell growth, but translation of ribosomal proteins competes with production of non-ribosomal proteins. Theory shows that cell growth is maximized when all expressed ribosomes are constantly translating. To examine whether budding yeast function at this limit of full ribosomal usage, we profiled the proteomes of cells growing in different environments. We find that cells produce excess ribosomal proteins, amounting to a constant ?8% of the proteome. Accordingly, ?25% of ribosomal proteins expressed in rapidly growing cells does not contribute to translation. Further, this fraction increases as growth rate decreases and these excess ribosomal proteins are employed when translation demands unexpectedly increase. We suggest that steadily growing cells prepare for conditions that demand increased translation by producing excess ribosomes, at the expense of lower steady-state growth rate.

SUBMITTER: Metzl-Raz E 

PROVIDER: S-EPMC5578734 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

Principles of cellular resource allocation revealed by condition-dependent proteome profiling.

Metzl-Raz Eyal E   Kafri Moshe M   Yaakov Gilad G   Soifer Ilya I   Gurvich Yonat Y   Barkai Naama N  

eLife 20170831


Growing cells coordinate protein translation with metabolic rates. Central to this coordination is ribosome production. Ribosomes drive cell growth, but translation of ribosomal proteins competes with production of non-ribosomal proteins. Theory shows that cell growth is maximized when all expressed ribosomes are constantly translating. To examine whether budding yeast function at this limit of full ribosomal usage, we profiled the proteomes of cells growing in different environments. We find th  ...[more]

Similar Datasets

| S-EPMC5114563 | biostudies-literature
| S-EPMC4267345 | biostudies-literature
| S-EPMC8259983 | biostudies-literature
| S-EPMC6502394 | biostudies-literature
| S-EPMC4006352 | biostudies-literature
| S-EPMC4888949 | biostudies-literature
2015-02-12 | PXD001467 | Pride
| S-EPMC5547584 | biostudies-literature
2015-02-27 | PXD001594 | Pride
2018-08-01 | GSE72020 | GEO