Evidence map›Paper›PMID 21072575›Full record

ArticleJournal of bioenergetics and biomembranes2010

VDAC contributes to mRNA levels in Saccharomyces cerevisiae cells by the intracellular reduction/oxidation state dependent and independent mechanisms.

Hanna Gałgańska, Monika Antoniewicz, Małgorzata Budzińska, Lukasz Gałgański, Hanna Kmita

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Journal of bioenergetics and biomembranes, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Developing a Novel and Optimized Yeast Model for Human VDAC Research.International journal of molecular sciences · 2024
    Article
  2. Article
  3. Article
  4. Frontiers in plant science · 2020
    Article
  5. Review
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

5 authors at 1 institution in 1 country.

Hanna GałgańskaLaboratory of Bioenergetics, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, Umultowska 89, 61-614, Poznań, Poland.
Monika Antoniewicz
Małgorzata Budzińska
Lukasz Gałgański
Hanna Kmita
Adam Mickiewicz University in Poznań · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Available data suggest that voltage-dependent anion selective channel (VDAC) constitutes an important component of a cellular regulatory mechanism based on the intracellular reduction/oxidation (redox) state. Here, using quantitative RT-PCR, we demonstrated that depletion of VDAC1 (termed here VDAC) in Saccharomyces cerevisiae cells distinctly affected levels of mRNAs encoding nuclear proteins sensitive to changes of the intracellular redox state including the nuclear transcription factors important for adaptation to the redox state and proteins involved in communication between mitochondria and the nucleus. We also revealed that the changes of the studied protein transcript levels generally correlated with changes of the intracellular redox state although VDAC appears also to affect mRNA levels by a mechanism not based on changes of the intracellular redox states. Thus, VDAC seems to be an important element of the intracellular signaling network.

Indexed as

DNA PrimersIntracellular Signaling Peptides and ProteinsOxidation-ReductionReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSaccharomyces cerevisiaeVoltage-Dependent Anion ChannelsDNA PrimersIntracellular Signaling Peptides and ProteinsRNA, MessengerVoltage-Dependent Anion Channels

Identifiers

PMID21072575
OpenAlexW2054282304

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.