Evidence map›Paper›PMID 28819152›Full record

ArticleScientific reports2017

Dissecting the genomic activity of a transcriptional regulator by the integrative analysis of omics data.

Giulio Ferrero, Valentina Miano, Marco Beccuti, Gianfranco Balbo, Michele De Bortoli, Francesca Cordero

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Giulio FerreroCenter for Molecular Systems Biology, University of Turin, 10043, Orbassano, Turin, Italy.ORCID 0000-0002-4580-0680
Valentina MianoCenter for Molecular Systems Biology, University of Turin, 10043, Orbassano, Turin, Italy.ORCID 0000-0002-0260-5885
Marco BeccutiDept. of Computer Science, University of Turin, 10149, Turin, Italy.
Gianfranco BalboCenter for Molecular Systems Biology, University of Turin, 10043, Orbassano, Turin, Italy.ORCID 0000-0002-4580-0680
Michele De BortoliCenter for Molecular Systems Biology, University of Turin, 10043, Orbassano, Turin, Italy. michele.debortoli@unito.it.
Francesca CorderoCenter for Molecular Systems Biology, University of Turin, 10043, Orbassano, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the study of genomic regulation, strategies to integrate the data produced by Next Generation Sequencing (NGS)-based technologies in a meaningful ensemble are eagerly awaited and must continuously evolve. Here, we describe an integrative strategy for the analysis of data generated by chromatin immunoprecipitation followed by NGS which combines algorithms for data overlap, normalization and epigenetic state analysis. The performance of our strategy is illustrated by presenting the analysis of data relative to the transcriptional regulator Estrogen Receptor alpha (ERα) in MCF-7 breast cancer cells and of Glucocorticoid Receptor (GR) in A549 lung cancer cells. We went through the definition of reference cistromes for different experimental contexts, the integration of data relative to co-regulators and the overlay of chromatin states as defined by epigenetic marks in MCF-7 cells. With our strategy, we identified novel features of estrogen-independent ERα activity, including FoxM1 interaction, eRNAs transcription and a peculiar ontology of connected genes.

Indexed as

Gene Expression Regulation, NeoplasticA549 CellsChromatin ImmunoprecipitationEstrogen Receptor alphaForkhead Box Protein M1GenomicsHigh-Throughput Nucleotide SequencingHumansMCF-7 CellsNeoplasmsReceptors, GlucocorticoidESR1 protein, humanEstrogen Receptor alphaForkhead Box Protein M1Receptors, Glucocorticoid

Identifiers

PMID28819152
PMCPMC5561104

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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.