Evidence map›Paper›PMID 28676096›Full record

ArticleStem cell research & therapy2017

Global gene expression profiling and senescence biomarker analysis of hESC exposed to H

Maria Barandalla, Hui Shi, Hui Xiao, Silvia Colleoni, Cesare Galli, Pietro Lio, Matthew Trotter, Giovanna Lazzari

Open access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 94% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Maria BarandallaAvantea srl, Laboratory of Reproductive Technologies, Via Porcellasco 7/F, Cremona, 26100, Italy. mariabarandalla@avantea.it.ORCID 0000-0003-4498-6230
Hui ShiDepartment of Genetics, University of Cambridge, Cambridge, UK.
Hui XiaoComputer laboratory, University of Cambridge, Cambridge, UK.
Silvia ColleoniAvantea srl, Laboratory of Reproductive Technologies, Via Porcellasco 7/F, Cremona, 26100, Italy.
Cesare GalliAvantea srl, Laboratory of Reproductive Technologies, Via Porcellasco 7/F, Cremona, 26100, Italy.
Pietro LioComputer laboratory, University of Cambridge, Cambridge, UK.
Matthew TrotterCelgene Institute for Translational Research Europe (CITRE), Seville, Spain.
Giovanna LazzariAvantea srl, Laboratory of Reproductive Technologies, Via Porcellasco 7/F, Cremona, 26100, Italy.
Avantea · ITUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman embryonic stem cells (hESCs) potentially offer new routes to study, on the basis of the Developmental Origins of Health and Disease (DOHaD) concept, how the maternal environment during pregnancy influences the offspring's health and can predispose to chronic disease in later life. Reactive oxygen species (ROS), antioxidant defences and cellular redox status play a key function in gene expression regulation and are involved in diabetes and metabolic syndromes as in ageing.

methodsWe have, therefore, designed an in vitro cell model of oxidative stress by exposing hESCs to hydrogen peroxide (H

resultsWe have analysed the global gene expression profiles of hESCs (HUES3) exposed to non-cytotoxic H

conclusionsTherefore, we assessed the presence of supernumerary centrosomes and showed that the percentage of cells with more than two centrosomes increased acutely with H

Indexed as

Cell LineCellular SenescenceGene Expression RegulationHuman Embryonic Stem CellsHumansHydrogen PeroxideOxidative StressHydrogen PeroxideCentrosomehESCMicroarrayNEDD1Oxidative stress

Identifiers

PMID28676096
PMCPMC5497375
OpenAlexW2724833876

What OpenQuestion holds

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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.