Evidence map›Paper›PMID 17606896›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2007

Buffering of deoxyribonucleotide pool homeostasis by threonine metabolism.

John L Hartman

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2007. 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
1.2field-weighted citation impact, top 23% 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, 41 citations in OpenAlex.

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  16. Phenomic assessment of genetic buffering by kinetic analysis of cell arrays.Methods in molecular biology (Clifton, N.J.) · 2014
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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

1 author at 1 institution in 1 country.

John L HartmanDepartment of Genetics, University of Alabama at Birmingham, Birmingham, AL 35294, USA. jhartman@uab.edu
University of Alabama at Birmingham · US

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill · 2000 to 2026
$31.9M
GENETIC ANALYSIS OF THE EUKARYOTIC CELL CYCLER01GM017709 · NIGMS · UNIVERSITY OF WASHINGTON · PI HARTWELL, LELAND H · 1985 to 2005
$2.3M
Molecular Buffering of Replication in YeastK08CA090637 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI HARTMAN, JOHN L. · 2001 to 2006
$668k
NCI NIH HHS K08 CA090637NCI NIH HHS K08-CA-90637NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30-DK-056336NIGMS NIH HHS R01 GM017709NIGMS NIH HHS R01-GM-17709
6 · The paper itself

Abstract

Synergistically interacting gene mutations reveal buffering relationships that provide growth homeostasis through their compensation of one another. This analysis in Saccharomyces cerevisiae revealed genetic modules involved in tricarboxylic acid cycle regulation (RTG1, RTG2, RTG3), threonine biosynthesis (HOM3, HOM2, HOM6, THR1, THR4), amino acid permease trafficking (LST4, LST7), and threonine catabolism (GLY1). These modules contribute to a molecular circuit that regulates threonine metabolism and buffers deficiency in deoxyribonucleotide biosynthesis. Phenotypic, genetic, and biochemical evidence for this buffering circuit was obtained through analysis of deletion mutants, titratable alleles of ribonucleotide reductase genes, and measurements of intracellular deoxyribonucleotide pool concentrations. This circuit provides experimental evidence, in eukaryotes, for the presence of a high-flux backbone of metabolism, which was previously predicted from in silico modeling of global metabolism in bacteria. This part of the high-flux backbone appears to buffer deficiency in ribonucleotide reductase by enabling a compensatory increase in de novo purine biosynthesis that provides additional rate-limiting substrates for dNTP production and DNA synthesis. Hypotheses regarding unexpected connections between these metabolic pathways were facilitated by genome-wide but also highly quantitative phenotypic assessment of interactions. Validation of these hypotheses substantiates the added benefit of quantitative phenotyping for identifying subtleties in gene interaction networks that modulate cellular phenotypes.

Indexed as

Computer SimulationDeoxyribonucleotidesDNA ReplicationGlycine HydroxymethyltransferaseHomeostasisModels, GeneticSaccharomyces cerevisiaeThreonineDeoxyribonucleotidesGlycine HydroxymethyltransferaseThreonine

Identifiers

PMID17606896
PMCPMC1913885
OpenAlexW2041540026

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.