Evidence map›Paper›PMID 24586334›Full record

ArticlePloS one2014

Single-cell states in the estrogen response of breast cancer cell lines.

Francesco Paolo Casale, Giorgio Giurato, Giovanni Nassa, Jonathan W Armond, Chris J Oates, Davide Corá, Andrea Gamba, Sach Mukherjee, Alessandro Weisz, Mario Nicodemi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

10 authors at 7 institutions in 3 countries.

Francesco Paolo CasaleEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom.
Giorgio GiuratoDepartment of Medicine and Surgery, Laboratory of Molecular Medicine and Genomics, University of Salerno, Baronissi, Salerno, Italy.
Giovanni NassaDepartment of Medicine and Surgery, Laboratory of Molecular Medicine and Genomics, University of Salerno, Baronissi, Salerno, Italy.
Jonathan W ArmondCentre for Complexity Science, University of Warwick, Coventry, United Kingdom.
Chris J OatesCentre for Complexity Science, University of Warwick, Coventry, United Kingdom.
Davide CoráInstitute for Cancer Research and Treatment (IRCC), University of Turin School of Medicine, Candiolo, Turin, Italy.
Andrea GambaDepartment of Applied Science and Technology, University of Turin, Istituto Nazionale di Fisica Nucleare (INFN), Human Genetics Foundation (HuGeF), Torino, Italy.
Sach MukherjeeNetherlands Cancer Institute, Amsterdam, The Netherlands.
Alessandro WeiszDepartment of Medicine and Surgery, Laboratory of Molecular Medicine and Genomics, University of Salerno, Baronissi, Salerno, Italy.
Mario NicodemiDepartment of Physics, University of Naples Federico II, CNR-Spin, Istituto Nazionale di Fisica Nucleare (INFN), Napoli, Italy.
University of Salerno · ITUniversity of Warwick · GBEuropean Bioinformatics Institute · GBIstituto Nazionale di Fisica Nucleare · ITOncode Institute · NLUniversity of Naples Federico II · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estrogen responsive breast cancer cell lines have been extensively studied to characterize transcriptional patterns in hormone-responsive tumors. Nevertheless, due to current technological limitations, genome-wide studies have typically been limited to population averaged data. Here we obtain, for the first time, a characterization at the single-cell level of the states and expression signatures of a hormone-starved MCF-7 cell system responding to estrogen. To do so, we employ a recently proposed model that allows for dissecting single-cell states from time-course microarray data. We show that within 32 hours following stimulation, MCF-7 cells traverse, most likely, six states, with a faster early response followed by a progressive deceleration. We also derive the genome-wide transcriptional profiles of such single-cell states and their functional characterization. Our results support a scenario where estrogen promotes cell cycle progression by controlling multiple, sequential regulatory steps, whose single-cell events are here identified.

Indexed as

Breast NeoplasmsCell CycleCell Line, TumorEstrogensFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMCF-7 CellsTranscriptomeEstrogens

Identifiers

PMID24586334
PMCPMC3934861
OpenAlexW1967401188

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.