Evidence map›Paper›PMID 23659652›Full record

ArticleNanotoxicology2014

Three human cell types respond to multi-walled carbon nanotubes and titanium dioxide nanobelts with cell-specific transcriptomic and proteomic expression patterns.

Susan C Tilton, Norman J Karin, Ana Tolic, Yumei Xie, Xianyin Lai, Raymond F Hamilton, Katrina M Waters, Andrij Holian, Frank A Witzmann, Galya Orr

Open access · greenAbstract read
In one paragraph

Article in Nanotoxicology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Long-Term Exposure to Nanosized TiOInternational journal of molecular sciences · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Systems Biology to Support Nanomaterial Grouping.Advances in experimental medicine and biology · 2017
    Review
  18. Article
  19. Article
  20. Article
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 5 institutions in 1 country.

Susan C TiltonEnvironmental Molecular Sciences Laboratory, and Fundamental & Computational Sciences Directorate, Pacific Northwest National Laboratory , Richland, WA , USA.
Norman J Karin
Ana Tolic
Yumei Xie
Xianyin Lai
Raymond F Hamilton
Katrina M Waters
Andrij Holian
Frank A Witzmann
Galya Orr
Pacific Northwest National Laboratory · USUniversity of Montana · USEnvironmental Molecular Sciences Laboratory · USIndiana University – Purdue University Indianapolis · USIndiana University School of Medicine

Funding

Nanoparticle Effects on Epithelial Cell Protein Expression and FunctionR01GM085218 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI WITZMANN, FRANK A · 2008 to 2012
$2.1M
Characterization Methodologies & Proteomics to Assess Carbon Nanotube ExposureRC2ES018810 · NIEHS · INDIANA UNIVERSITY INDIANAPOLIS · PI MITRA, SOMENATH, WITZMANN, FRANK A · 2009 to 2012
$1.5M
Bioactivity of engineered fiber-shaped nanomaterialsRC2ES018742 · NIEHS · UNIVERSITY OF MONTANA · PI HOLIAN, ANDRIJ · 2009 to 2011
$1.1M
Tying Distinct Nanoparticle Properties to Cellular Interactions, Fate and ResponsRC2ES018786 · NIEHS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI ORR, GALYA · 2009 to 2010
$986k
NIEHS NIH HHS 1RC2ES018786-01-S1NIEHS NIH HHS RC2ES018025-01S1NIEHS NIH HHS RC2 ES018742NIEHS NIH HHS RC2ES018742-01S1NIEHS NIH HHS RC2 ES018786NIEHS NIH HHS RC2 ES018810NIGMS NIH HHS R01 GM085218
6 · The paper itself

Abstract

The growing use of engineered nanoparticles (NPs) in commercial and medical applications raises the urgent need for tools that can predict NP toxicity. Global transcriptome and proteome analyses were conducted on three human cell types, exposed to two high aspect ratio NP types, to identify patterns of expression that might indicate high versus low NP toxicity. Three cell types representing the most common routes of human exposure to NPs, including macrophage-like (THP-1), small airway epithelial and intestinal (Caco-2/HT29-MTX) cells, were exposed to TiO2 nanobelts (TiO2-NB; high toxicity) and multi-walled carbon nanotubes (MWCNT; low toxicity) at low (10 µg/mL) and high (100 µg/mL) concentrations for 1 and 24 h. Unique patterns of gene and protein expressions were identified for each cell type, with no differentially expressed (p < 0.05, 1.5-fold change) genes or proteins overlapping across all three cell types. While unique to each cell type, the early response was primarily independent of NP type, showing similar expression patterns in response to both TiO2-NB and MWCNT. The early response might, therefore, indicate a general response to insult. In contrast, the 24 h response was unique to each NP type. The most significantly (p < 0.05) enriched biological processes in THP-1 cells indicated TiO2-NB regulation of pathways associated with inflammation, apoptosis, cell cycle arrest, DNA replication stress and genomic instability, while MWCNT-regulated pathways indicated increased cell proliferation, DNA repair and anti-apoptosis. These two distinct sets of biological pathways might, therefore, underlie cellular responses to high and low NP toxicity, respectively.

Indexed as

Caco-2 CellsCell SurvivalCluster AnalysisGene Regulatory NetworksHT29 CellsHumansNanotubes, CarbonProteomeTitaniumTranscriptomeNanotubes, CarbonProteomeTitaniumtitanium dioxide

Identifiers

PMID23659652
PMCPMC4226242
OpenAlexW1985488986

What OpenQuestion holds

Textmetadata
LicenceTDM
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.