Evidence map›Paper›PMID 26941329›Full record

ArticleMolecular biology of the cell2016

Steady-state and dynamic gene expression programs in Saccharomyces cerevisiae in response to variation in environmental nitrogen.

Edoardo M Airoldi, Darach Miller, Rodoniki Athanasiadou, Nathan Brandt, Farah Abdul-Rahman, Benjamin Neymotin, Tatsu Hashimoto, Tayebeh Bahmani, David Gresham

Open access · greenAbstract read
In one paragraph

Article in Molecular biology of the cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Proteomics ofJournal of fungi (Basel, Switzerland) · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Proteomic and Transcriptomic Patterns during Lipid Remodeling inInternational journal of molecular sciences · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Predicting growth rate from gene expression.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Edoardo M AiroldiDepartment of Statistics, Harvard University, Cambridge, MA 02138 Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA 02142 airoldi@fas.harvard.edu dgresham@nyu.edu.
Darach MillerCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003.
Rodoniki AthanasiadouCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003.
Nathan BrandtCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003.
Farah Abdul-RahmanCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003.
Benjamin NeymotinCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003.
Tatsu HashimotoDepartment of Statistics, Harvard University, Cambridge, MA 02138.
Tayebeh BahmaniCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003.
David GreshamCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003 airoldi@fas.harvard.edu dgresham@nyu.edu.
New York University · USBroad Institute · USHarvard University · US

Funding

Genetics of Functional Interactions in YeastR01GM046406 · NIGMS · STANFORD UNIVERSITY · PI BOTSTEIN, DAVID · 2001 to 2015
$9.5M
Regulation of Quiescence in Eukaryotic CellsR01GM107466 · NIGMS · NEW YORK UNIVERSITY · PI GRESHAM, DAVID · 2013 to 2022
$3.0M
Quant. methods for systems-level analyses of regulation & signaling dynamicsR01GM096193 · NIGMS · HARVARD UNIVERSITY · PI AIROLDI, EDOARDO MARIA · 2010 to 2014
$1.1M
NIGMS NIH HHS R01 GM046406NIGMS NIH HHS R01-GM046406NIGMS NIH HHS R01 GM096193NIGMS NIH HHS R01-GM096193NIGMS NIH HHS R01 GM107466NIGMS NIH HHS R01-GM107466
6 · The paper itself

Abstract

Cell growth rate is regulated in response to the abundance and molecular form of essential nutrients. InSaccharomyces cerevisiae(budding yeast), the molecular form of environmental nitrogen is a major determinant of cell growth rate, supporting growth rates that vary at least threefold. Transcriptional control of nitrogen use is mediated in large part by nitrogen catabolite repression (NCR), which results in the repression of specific transcripts in the presence of a preferred nitrogen source that supports a fast growth rate, such as glutamine, that are otherwise expressed in the presence of a nonpreferred nitrogen source, such as proline, which supports a slower growth rate. Differential expression of the NCR regulon and additional nitrogen-responsive genes results in >500 transcripts that are differentially expressed in cells growing in the presence of different nitrogen sources in batch cultures. Here we find that in growth rate-controlled cultures using nitrogen-limited chemostats, gene expression programs are strikingly similar regardless of nitrogen source. NCR expression is derepressed in all nitrogen-limiting chemostat conditions regardless of nitrogen source, and in these conditions, only 34 transcripts exhibit nitrogen source-specific differential gene expression. Addition of either the preferred nitrogen source, glutamine, or the nonpreferred nitrogen source, proline, to cells growing in nitrogen-limited chemostats results in rapid, dose-dependent repression of the NCR regulon. Using a novel means of computational normalization to compare global gene expression programs in steady-state and dynamic conditions, we find evidence that the addition of nitrogen to nitrogen-limited cells results in the transient overproduction of transcripts required for protein translation. Simultaneously, we find that that accelerated mRNA degradation underlies the rapid clearing of a subset of transcripts, which is most pronounced for the highly expressed NCR-regulated permease genesGAP1,MEP2,DAL5,PUT4, andDIP5 Our results reveal novel aspects of nitrogen-regulated gene expression and highlight the need for a quantitative approach to study how the cell coordinates protein translation and nitrogen assimilation to optimize cell growth in different environments.

Indexed as

Gene-Environment InteractionGene Expression Regulation, FungalAmmoniaNitrogenRegulonRNA, MessengerSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscriptomeAmmoniaNitrogenRNA, MessengerSaccharomyces cerevisiae Proteins

Identifiers

PMID26941329
PMCPMC4831890
OpenAlexW2289454764

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.