Evidence map›Paper›PMID 22864383›Full record

ArticleMolecular systems biology2012

Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS.

Iwona Stelniec-Klotz, Stefan Legewie, Oleg Tchernitsa, Franziska Witzel, Bertram Klinger, Christine Sers, Hanspeter Herzel, Nils Blüthgen, Reinhold Schäfer

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 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–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

31 citing papers in PubMed.

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  18. A blueprint for human whole-cell modeling.Current opinion in systems biology · 2018
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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

9 authors.

Iwona Stelniec-KlotzLaboratory of Molecular Tumour Pathology, Institute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Stefan Legewie
Oleg Tchernitsa
Franziska Witzel
Bertram Klinger
Christine Sers
Hanspeter Herzel
Nils Blüthgen
Reinhold Schäfer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RAS mutations are highly relevant for progression and therapy response of human tumours, but the genetic network that ultimately executes the oncogenic effects is poorly understood. Here, we used a reverse-engineering approach in an ovarian cancer model to reconstruct KRAS oncogene-dependent cytoplasmic and transcriptional networks from perturbation experiments based on gene silencing and pathway inhibitor treatments. We measured mRNA and protein levels in manipulated cells by microarray, RT-PCR and western blot analysis, respectively. The reconstructed model revealed complex interactions among the transcriptional and cytoplasmic components, some of which were confirmed by double pertubation experiments. Interestingly, the transcription factors decomposed into two hierarchically arranged groups. To validate the model predictions, we analysed growth parameters and transcriptional deregulation in the KRAS-transformed epithelial cells. As predicted by the model, we found two functional groups among the selected transcription factors. The experiments thus confirmed the predicted hierarchical transcription factor regulation and showed that the hierarchy manifests itself in downstream gene expression patterns and phenotype.

Indexed as

Analysis of VarianceAnimalsCell Line, TumorCell ProliferationCell Transformation, NeoplasticEpithelial CellsFemaleFos-Related Antigen 1Gene Expression Regulation, NeoplasticGene Regulatory NetworksGenes, rasHMGA2 ProteinHumansKruppel-Like Factor 6Kruppel-Like Transcription FactorsMicroarray AnalysisFos-Related Antigen 1HMGA2 ProteinKLF6 protein, humanKRAS protein, humanKruppel-Like Factor 6Kruppel-Like Transcription FactorsProto-Oncogene ProteinsProto-Oncogene Proteins c-fosProto-Oncogene Proteins p21(ras)ras ProteinsRNA, Small InterferingTranscription Factors

Identifiers

PMID22864383
PMCPMC3421447

What OpenQuestion holds

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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.