Evidence map›Paper›PMID 34062913›Full record

ArticleCells2021

Profiling Non-Coding RNA Changes Associated with 16 Different Engineered Nanomaterials in a Mouse Airway Exposure Model.

Joseph Ndika, Piia Karisola, Pia Kinaret, Marit Ilves, Harri Alenius

Open access · goldAbstract read
In one paragraph

Article in Cells, 2021. 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
1.1field-weighted citation impact, top 26% 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, 15 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 1 institution in 2 countries.

Joseph NdikaHuman Microbiome Research (HUMI), Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.ORCID 0000-0003-0669-1300
Piia KarisolaHuman Microbiome Research (HUMI), Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.
Pia KinaretInstitute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, 00014 Helsinki, Finland.ORCID 0000-0002-3312-5331
Marit IlvesHuman Microbiome Research (HUMI), Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.ORCID 0000-0003-1334-9001
Harri AleniusHuman Microbiome Research (HUMI), Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland.ORCID 0000-0003-0106-8923
University of Helsinki · FI

Funding

Seventh Framework Programme 309329
6 · The paper itself

Abstract

Perturbations in cellular molecular events and their associated biological processes provide opportunities for hazard assessment based on toxicogenomic profiling. Long non-coding RNAs (lncRNAs) are transcribed from DNA but are typically not translated into full-length proteins. Via epigenetic regulation, they play important roles in organismal response to environmental stress. The effects of nanoparticles on this important part of the epigenome are understudied. In this study, we investigated changes in lncRNA associated with hazardous inhalatory exposure of mice to 16 engineered nanomaterials (ENM)-4 ENM (copper oxide, multi-walled carbon nanotubes, spherical titanium dioxide, and rod-like titanium dioxide particles) with 4 different surface chemistries (pristine, COOH, NH

Indexed as

Gene Expression ProfilingNanostructuresRNA, Long NoncodingRNA, UntranslatedAmidesAnimalsCluster AnalysisCopperDNA DamageEpigenesis, GeneticGene Expression RegulationLungMaterials TestingMiceNanoparticlesNanotubes, CarbonAmidesCoppercuprous oxideNanotubes, CarbonPolyethylene GlycolsRNA, Long NoncodingRNA, UntranslatedTitaniumtitanium dioxidelong non-coding RNAnanoparticlestoxicogenomics

Identifiers

PMID34062913
PMCPMC8147388
OpenAlexW3157764049

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.