Evidence map›Paper›PMID 22968442›Full record

ArticleMolecular systems biology2012

Global analysis of genome, transcriptome and proteome reveals the response to aneuploidy in human cells.

Silvia Stingele, Gabriele Stoehr, Karolina Peplowska, Jürgen Cox, Matthias Mann, Zuzana Storchova

Abstract read
In one paragraph

Article in Molecular systems biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 270 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
270citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

270 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  18. PARP1 Suppression Drives ROS Resistance in Aneuploid Cancer Cells.bioRxiv : the preprint server for biology · 2026
    Article
  19. Review
  20. Investigating the Consequences of Aneuploidy in Cancer and Normal Tissue.Advances in experimental medicine and biology · 2026
    Review

210 more citing papers are in PubMed but not listed here.

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.

Silvia StingeleGroup of Maintenance of Genome Stability, Max Planck Institute of Biochemistry, Martinsried, Germany.
Gabriele Stoehr
Karolina Peplowska
Jürgen Cox
Matthias Mann
Zuzana Storchova

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extra chromosome copies markedly alter the physiology of eukaryotic cells, but the underlying reasons are not well understood. We created human trisomic and tetrasomic cell lines and determined the quantitative changes in their transcriptome and proteome in comparison with their diploid counterparts. We found that whereas transcription levels reflect the chromosome copy number changes, the abundance of some proteins, such as subunits of protein complexes and protein kinases, is reduced toward diploid levels. Furthermore, using the quantitative data we investigated the changes of cellular pathways in response to aneuploidy. This analysis revealed specific and uniform alterations in pathway regulation in cells with extra chromosomes. For example, the DNA and RNA metabolism pathways were downregulated, whereas several pathways such as energy metabolism, membrane metabolism and lysosomal pathways were upregulated. In particular, we found that the p62-dependent selective autophagy is activated in the human trisomic and tetrasomic cells. Our data present the first broad proteomic analysis of human cells with abnormal karyotypes and suggest a uniform cellular response to the presence of an extra chromosome.

Indexed as

AneuploidyAutophagyCell LineChromosomes, HumanDNAGenomeHumansProtein SubunitsProteomeRNA, MessengerTetrasomyTranscriptomeTrisomyDNAProtein SubunitsProteomeRNA, Messenger

Identifiers

PMID22968442
PMCPMC3472693

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Registered trials

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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.