Evidence map›Paper›PMID 30135565›Full record

ArticleScientific reports2018

Live-stream characterization of cadmium-induced cell death using visible CdTe-QDs.

Samira Filali, Alain Geloën, Vladimir Lysenko, Fabrice Pirot, Pierre Miossec

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 12 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

5 authors at 4 institutions in 1 country.

Samira FilaliImmunogenomics and Inflammation Research Unit EA 4130, Department of Immunology and Rheumatology, Edouard Herriot Hospital, Hospices Civils de Lyon, University of Lyon, Lyon, France.
Alain GeloënCarMeN laboratory, INRA UMR1397, INSERM U1060, INSA Lyon, University of Lyon, Lyon, France.
Vladimir LysenkoNanotechnology Institute of Lyon, UMR-CNRS 5270, INSA Lyon, University of Lyon, Lyon, France.
Fabrice PirotLaboratory of Research and Development of Industrial Galenic Pharmacy and Laboratory of Tissue Biology and Therapeutic Engineering UMR-CNRS 5305, Pharmacy Department, FRIPHARM Platform, Edouard Herriot Hospital, Hospices Civils de Lyon, University of Lyon, Lyon, France.
Pierre MiossecImmunogenomics and Inflammation Research Unit EA 4130, Department of Immunology and Rheumatology, Edouard Herriot Hospital, Hospices Civils de Lyon, University of Lyon, Lyon, France. pierre.miossec@univ-lyon1.fr.
Université Claude Bernard Lyon 1 · FRCentre National de la Recherche Scientifique · FRHospices Civils de Lyon · FRInstitut thématique Immunologie, inflammation, infectiologie et microbiologie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterization of cell death currently requires the use of indirect markers, which has largely limited the ability to monitor cell death processes inside the cell. Here, we introduce a new method for the characterization of cell death mechanisms using cadmium telluride quantum dots (CdTe-QDs). Using visible CdTe-QDs with mesenchymal cells (e.g. synoviocytes), live-stream imaging allowed for visualization of cadmium-induced cell death, combining characteristics of apoptosis and autophagy. Initially, similar anti-proliferative effect was observed between 10 µg/ml Cd

Indexed as

ApoptosisCadmiumCadmium CompoundsCell DeathHumansMolecular ImagingPrimary Cell CultureQuantum DotsSynoviocytesTelluriumCadmiumCadmium Compoundscadmium tellurideTellurium

Identifiers

PMID30135565
PMCPMC6105671
OpenAlexW2887542012

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.