Evidence map›Paper›PMID 22480867›Full record

ReviewExperimental cell research2012

The metabolism beyond programmed cell death in yeast.

Julia Ring, Cornelia Sommer, Didac Carmona-Gutierrez, Christoph Ruckenstuhl, Tobias Eisenberg, Frank Madeo

Open access · hybridAbstract readReview
In one paragraph

Review in Experimental cell research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Julia RingInstitute of Molecular Biosciences, University of Graz, Graz, Austria.
Cornelia Sommer
Didac Carmona-Gutierrez
Christoph Ruckenstuhl
Tobias Eisenberg
Frank Madeo
University of Graz · ATMedical University of Graz · AT

Funding

A conserved module required for mitochondrial function and viability under stressR01GM087346 · NIGMS · UNIVERSITY OF UTAH · PI RUTTER, JARED P · 2009 to 2012
$1.5M
Austrian Science Fund FWF W 1226NIGMS NIH HHS R01 GM087346
6 · The paper itself

Abstract

A cell's reaction to any change in the endogenous or exogenous conditions often involves a complex response that eventually either leads to cell adaptation and survival or to the initiation and execution of (programmed) cell death. The molecular decision whether to live or die, while depending on a cell's genome, is fundamentally influenced by its actual metabolic status. Thus, the collection of all metabolites present in a biological system at a certain time point (the so-called metabolome) defines its physiological, developmental and pathological state and determines its fate during changing and stressful conditions. The budding yeast Saccharomyces cerevisiae is a unicellular organism that allows to easily modify and monitor conditions affecting the cell's metabolome, for instance through a simple change of the nutrition source. Such changes can be used to mimic and study (patho)physiological scenarios, including caloric restriction and longevity, the Warburg effect in cancer cells or changes in mitochondrial mass affecting cell death. In addition, disruption of single genes or generation of respiratory deficiency (via abrogation of mitochondrial DNA) assists in revealing connections between metabolism and apoptosis. In this minireview, we discuss recent studies using the potential of the yeast model to provide new insights into the processes of stress defense, cell death and longevity.

Indexed as

ApoptosisYeasts

Identifiers

PMID22480867
PMCPMC3396845
OpenAlexW1967839641

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.