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Identification of gene expression predictors of occupational benzene exposure.

Courtney Schiffman | Cliona M McHale | Alan E Hubbard | Luoping Zhang | Reuben Thomas | Roel Vermeulen | Guilan Li | Min Shen | Stephen M Rappaport | Songnian Yin | Qing Lan | Martyn T Smith | Nathaniel Rothman
PloS one | 2018

Previously, using microarrays and mRNA-Sequencing (mRNA-Seq) we found that occupational exposure to a range of benzene levels perturbed gene expression in peripheral blood mononuclear cells.

Pubmed ID: 30300410

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

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Associated grants

  • Agency: NIEHS NIH HHS, United States
    Id: P42 ES004705
  • Agency: NIOSH CDC HHS, United States
    Id: T42 OH008429

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


RefSeq (tool)

RRID:SCR_003496

Collection of curated, non-redundant genomic DNA, transcript RNA, and protein sequences produced by NCBI. Provides a reference for genome annotation, gene identification and characterization, mutation and polymorphism analysis, expression studies, and comparative analyses. Accessed through the Nucleotide and Protein databases.

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edgeR (tool)

RRID:SCR_012802

Bioconductor software package for Empirical analysis of Digital Gene Expression data in R. Used for differential expression analysis of RNA-seq and digital gene expression data with biological replication.

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