The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Impact of nose-only exposure system on pulmonary gene expression
Abstract
Nose-only exposure is used to study the distribution and toxicity of airborne contaminants. Restraint of animals in nose-only tubes causes stress, but the impact on pulmonary mRNA levels is unknown. Since stress and xenobiotics activate common pathways, we assessed whether nose-only exposure would alter expression of toxicologically relevant genes in the lungs. To identify candidate genes for further analysis, we first interrogated microarray data to examine time-dependent changes in gene expression in air-control animals from a nose-only inhalation study involving male wild-type C57BL/6 mice and transgenic tumor necrosis factor (TNF)-alpha over-expressing littermates. Comparison of transcript levels immediately and 24 h after a single 4-h nose-only exposure to air revealed differential expression of 280 genes (false discovery rate-adjusted, p < .05). Functional analysis revealed enrichment of immune response, apoptosis, and signalling terms, consistent with effects of restraint stress. We then selected a subset of target genes for comparison of naive animals and air-exposed animals from the inhalation study by real-time polymerase chain reaction (PCR). Expression of genes involved in stress (BNIP, sestrin-1, CDKN1A [p21], GADD45 gamma), glucocorticoid-response (GILZ, Sgk), and signal transduction (MAP3K6, C/EBP-delta) was increased as a result of nose-only exposure (p < .05). In contrast, proinflammatory factors (lymphotoxin-beta, chemokine receptor CXCR5) were decreased (p…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Both inhalation methods have pitfalls. In one hand, a precise analysis of the aerosol can be made following exposure in chamber, but the amount of inhaled fibers is less precise (hair deposition, etc.); on the other hand, animals housed in a container represent a different situation from the human working activities, and some studies suggest that animals can be stressed in these conditions [50-55]”
From Quantification of short and long asbestos fibers to assess asbestos exposure: A review of fiber size toxicity (2014) · cites this paper as [53]
Citations
Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
DAVID: Database for Annotation, Visualization, and Integrated Discovery
Dennis, G., Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., & Lempicki, R. A. (2003) · Genome Biology · doi:10.1186/gb-2003-4-5-p3 · Cited by 9,327
Yang, Y., Dudoit, S., Luu, P., Lin, D., Peng, V., Ngai, J., & Speed, T. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.4.e15 · Cited by 3,722
Steroid hormone receptors: Many Actors in search of a plot
Beato, M., Herrlich, P. A., & Schütz, G. (1995) · Cell · doi:10.1016/0092-8674(95)90201-5 · Cited by 1,818
Journal of the Royal Statistical Society.
(1921) · The Economic Journal · doi:10.1093/ej/31.121.133 · Cited by 1,503
Stress Hormones, Proinflammatory and Antiinflammatory Cytokines, and Autoimmunity
ELENKOV, I. J., & CHROUSOS, G. P. (2002) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2002.tb04229.x · Cited by 983
Review of psychosocial stress and asthma: an integrated biopsychosocial approach
Wright, R. J., Rodriguez, M., & Cohen, S. (1998) · Thorax · doi:10.1136/thx.53.12.1066 · Cited by 537
Cui, X., Hwang, J. T. G., Qiu, J., Blades, N. J., & Churchill, G. A. (2004) · Biostatistics · doi:10.1093/biostatistics/kxh018 · Cited by 489
MAANOVA: A Software Package for the Analysis of Spotted cDNA Microarray Experiments
Wu, H., Kerr, M. K., Cui, X., & Churchill, G. A. (2003) · Statistics for Biology and Health · doi:10.1007/0-387-21679-0_14 · Cited by 319
Research works printed but not linked: 2
- Vincent R., 1997, Am. J. Pathol., 151, 1563
- Vincent R., 2001, Res. Rep. Health Effects Inst., 5
Cited by
Boulanger, G., Andujar, P., Pairon, J.-C., Billon-Galland, M.-A., Dion, C., Dumortier, P., Brochard, P., Sobaszek, A., Bartsch, P., Paris, C., et al. (2014) · Environmental Health · doi:10.1186/1476-069x-13-59 · Cited by 176
Inhalation Exposure to Carbon Nanotubes (CNT) and Carbon Nanofibers (CNF): Methodology and Dosimetry
Oberdörster, G., Castranova, V., Asgharian, B., & Sayre, P. (2015) · Journal of Toxicology and Environmental Health, Part B · doi:10.1080/10937404.2015.1051611 · Cited by 150
Metadata
- Authors
- Thomson, E. M., Williams, A., Yauk, C. L., & Vincent, R.
- Venue
- Inhalation Toxicology
- Publisher
- Informa UK Limited
- Published
- 2009-06-30
- Volume
- 21
- Issue
- sup1
- Pages
- 74-82
- ISSN
- 0895-8378
- 1091-7691
- Cited by
- 15
- References
- 38
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
