Compendium of TCDD-mediated transcriptomic response datasets in mammalian model systems.

Background 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) is the most potent congener of the dioxin class of environmental contaminants. Exposure to TCDD causes a wide range of toxic outcomes, ranging from chloracne to acute lethality. The severity of toxicity is highly dependent on the aryl hydrocarbon receptor (AHR). Binding of TCDD to the AHR leads to changes in transcription of numerous genes. Studies evaluating the transcriptional changes brought on by TCDD may provide valuable insight into the role of the AHR in human health and disease. We therefore compiled a collection of transcriptomic datasets that can be used to aid the scientific community in better understanding the transcriptional effects of ligand-activated AHR. Results Specifically, we have created a datasets package – TCDD.Transcriptomics – for the R statistical environment, consisting of 63 unique experiments comprising 377 samples, including various combinations of 3 species (human derived cell lines, mouse and rat), 4 tissue types (liver, kidney, white adipose tissue and hypothalamus) and a wide range of TCDD exposure times and doses. These datasets have been fully standardized using consistent preprocessing and annotation packages (available as of September 14, 2015). To demonstrate the utility of this R package, a subset of “AHR-core” genes were evaluated across the included datasets. Ahrr, Nqo1 and members of the Cyp family were significantly induced following exposure to TCDD across the studies as expected while Aldh3a1 was induced specifically in rat liver. Inmt was altered only in liver tissue and primarily by rat-AHR. Conclusions Analysis of the “AHR-core” genes demonstrates a continued need for studies surrounding the impact of AHR-activity on the transcriptome; genes believed to be consistently regulated by ligand-activated AHR show surprisingly little overlap across species and tissues. Until now, a comprehensive assessment of the transcriptome across these studies was challenging due to differences in array platforms, processing methods and annotation versions. We believe that this package, which is freely available for download (http://labs.oicr.on.ca/boutros-lab/tcdd-transcriptomics) will prove to be a highly beneficial resource to the scientific community evaluating the effects of TCDD exposure as well as the variety of functions of the AHR. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-3446-z) contains supplementary material, which is available to authorized users.

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PID https://www.doi.org/10.1186/s12864-016-3446-z
PID pmc:PMC5237151
PID pmid:28086803
PID https://www.doi.org/10.1186/s128640163446z
URL http://dx.doi.org/10.1186/s12864-016-3446-z
URL https://escholarship.org/uc/item/081677v9
URL https://core.ac.uk/display/81283229
URL https://jyx.jyu.fi/handle/123456789/52772
URL http://dx.doi.org/10.1186/s128640163446z
URL https://bmcgenomics.biomedcentral.com/track/pdf/10.1186/s12864-016-3446-z
URL https://dx.doi.org/10.1186/s12864-016-3446-z
URL https://researchportal.helsinki.fi/en/publications/compendium-of-tcdd-mediated-transcriptomic-response-datasets-in-m
URL https://link.springer.com/article/10.1186/s12864-016-3446-z
URL https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5237151/
URL http://europepmc.org/articles/PMC5237151
URL https://helda.helsinki.fi/handle/10138/178838
URL https://paperity.org/p/79062393/compendium-of-tcdd-mediated-transcriptomic-response-datasets-in-mammalian-model-systems
URL http://urn.fi/URN:NBN:fi:jyu-201701161154
URL http://hdl.handle.net/10138/178838
URL http://link.springer.com/content/pdf/10.1186/s12864-016-3446-z.pdf
URL https://0-bmcgenomics-biomedcentral-com.brum.beds.ac.uk/articles/10.1186/s12864-016-3446-z
URL https://academic.microsoft.com/#/detail/2579726288
URL https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-016-3446-z
URL http://juuli.fi/Record/0285251317
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Author Jere Lindén, 0000-0001-9872-3626
Author Nicholas Harding, 0000-0001-5907-0773
Contributor University of Helsinki, Veterinary Pathology and Parasitology
Contributor University of Helsinki, Food Hygiene and Environmental Health
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Collected From Europe PubMed Central; HELDA - Digital Repository of the University of Helsinki; PubMed Central; VIRTA; eScholarship - University of California; ORCID; UnpayWall; Datacite; Jyväskylä University Digital Archive; Crossref; Microsoft Academic Graph; CORE (RIOXX-UK Aggregator)
Hosted By Europe PubMed Central; HELDA - Digital Repository of the University of Helsinki; SpringerOpen; VIRTA; eScholarship - University of California; BMC Genomics; Jyväskylä University Digital Archive
Publication Date 2017-01-13
Publisher eScholarship, University of California
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Country United States; Finland
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keyword R
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::4bb19f3a38260a0c26722ec7951b7cea
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Last Updated 26 December 2020, 08:05 (CET)
Created 26 December 2020, 08:05 (CET)