Evidence map›Paper›PMID 27810962›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Model-based transcriptome engineering promotes a fermentative transcriptional state in yeast.

Drew G Michael, Ezekiel J Maier, Holly Brown, Stacey R Gish, Christopher Fiore, Randall H Brown, Michael R Brent

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Engineering ofEngineering microbiology · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Deletion ofFrontiers in microbiology · 2022
    Article
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  11. Article
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  14. Article
  15. Review
  16. Article
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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

7 authors at 1 institution in 1 country.

Drew G MichaelCenter for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, MO 63108.
Ezekiel J MaierCenter for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, MO 63108.
Holly BrownCenter for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, MO 63108.
Stacey R GishDepartment of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO 63110.
Christopher FioreCenter for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, MO 63108.
Randall H BrownCenter for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, MO 63108.
Michael R BrentCenter for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, MO 63108; brent@wustl.edu.
Washington University in St. Louis · US

Funding

INSTITUTIONAL TRAINING GRANT IN GENOMIC SCIENCET32HG000045 · NHGRI · WASHINGTON UNIVERSITY · PI MICHAEL R BRENT, Barak A Cohen · 1997 to 2026
$8.4M
Linking Gene Regulation to MetabolismR01GM100452 · NIGMS · WASHINGTON UNIVERSITY · PI BRENT, MICHAEL R · 2012 to 2015
$1.3M
NHGRI NIH HHS T32 HG000045NIGMS NIH HHS R01 GM100452
6 · The paper itself

Abstract

The ability to rationally manipulate the transcriptional states of cells would be of great use in medicine and bioengineering. We have developed an algorithm, NetSurgeon, which uses genome-wide gene-regulatory networks to identify interventions that force a cell toward a desired expression state. We first validated NetSurgeon extensively on existing datasets. Next, we used NetSurgeon to select transcription factor deletions aimed at improving ethanol production in Saccharomyces cerevisiae cultures that are catabolizing xylose. We reasoned that interventions that move the transcriptional state of cells using xylose toward that of cells producing large amounts of ethanol from glucose might improve xylose fermentation. Some of the interventions selected by NetSurgeon successfully promoted a fermentative transcriptional state in the absence of glucose, resulting in strains with a 2.7-fold increase in xylose import rates, a 4-fold improvement in xylose integration into central carbon metabolism, or a 1.3-fold increase in ethanol production rate. We conclude by presenting an integrated model of transcriptional regulation and metabolic flux that will enable future efforts aimed at improving xylose fermentation to prioritize functional regulators of central carbon metabolism.

Indexed as

Gene DeletionAlgorithmsEthanolFermentationGene Regulatory NetworksGlucoseMetabolic EngineeringModels, GeneticSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscription FactorsTranscriptomeXyloseEthanolGlucoseSaccharomyces cerevisiae ProteinsTranscription FactorsXyloseengineeringgene-regulatory networksregulatory systems biologySaccharomyces cerevisiaetranscriptome

Identifiers

PMID27810962
PMCPMC5127345
OpenAlexW2547148653

What OpenQuestion holds

Textmetadata
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.