Evidence map›Paper›PMID 23526455›Full record

ArticleHormones & cancer2013

RNA sequencing of MCF-7 breast cancer cells identifies novel estrogen-responsive genes with functional estrogen receptor-binding sites in the vicinity of their transcription start sites.

Ryonosuke Yamaga, Kazuhiro Ikeda, Kuniko Horie-Inoue, Yasuyoshi Ouchi, Yutaka Suzuki, Satoshi Inoue

Open access · bronzeAbstract read
In one paragraph

Article in Hormones & cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

27 citing papers in PubMed, 50 citations in OpenAlex.

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  6. Proteomic profiling of eIF3a conditional knockout mice.Frontiers in molecular biosciences · 2023
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  17. BQ323636.1, a Novel Splice Variant toClinical cancer research : an official journal of the American Association for Cancer Research · 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

6 authors at 2 institutions in 1 country.

Ryonosuke YamagaDepartment of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bumkyo-ku, Tokyo, 113-8655, Japan.
Kazuhiro Ikeda
Kuniko Horie-Inoue
Yasuyoshi Ouchi
Yutaka Suzuki
Satoshi Inoue
The University of Tokyo · JPSaitama Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estrogen receptor α (ERα) is a key transcription factor in breast cancer, which plays an essential role in the pathophysiology of the disease by regulating the expression of various target genes. In the present study, we performed deep RNA sequencing (RNA-seq) as an unbiased high-throughput technique for comprehensive transcriptome analysis in ERα-positive human breast cancer MCF-7 cells, to facilitate the elucidation of ERα regulatory gene networks. From the 17,336 mapped RefSeq genes from the sequenced fragments of the cell samples treated with estrogen time dependently, substantial numbers of sequence reads were observed in 3,386 genes (>100 tags per million reads per sample at any of the six time points studied). ERα occupancy within and in the proximal regions of the genes (<10-kb upstream and downstream regions) was significantly enriched in the subgroup of the 3,386 genes compared to the whole 17,336 RefSeq genes. Of the 3,386 genes, we focused on 29 genes, which included ERα occupancy adjacent to their transcription start sites and whose expression was estrogen dependently altered by >3-fold. Knockdown studies using siRNAs specific to the 29 genes validated that prototypic ERα targets V-myc myelocytomatosis viral oncogene homolog and cyclin D1 promote both proliferation and migration of MCF-7 cells and further identified novel candidate ERα targets EIF3A and tumor protein D52-like 1, which will also facilitate the proliferation or migration of MCF-7 cells. Taken together, the present findings provide a valuable dataset that will elucidate ERα regulatory mechanisms in breast cancer biology, based on the integrative analysis of RNA-seq combined with the genome-wide information for ERα occupancy.

Indexed as

Gene Expression Regulation, NeoplasticTranscription Initiation SiteBinding SitesBreast NeoplasmsCell MovementCell ProliferationDisease ProgressionEstrogen Receptor alphaFemaleGene Knockdown TechniquesHumansMCF-7 CellsProtein BindingSequence Analysis, RNASignal TransductionTranscriptomeESR1 protein, humanEstrogen Receptor alpha

Identifiers

PMID23526455
PMCPMC10358060
OpenAlexW2094652176

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.