RNA-Seq quantification of the human small airway epithelium transcriptome

Neil R. Hackett, Marcus W. Butler, Renat Shaykhiev, Jacqueline Salit, Larsson Omberg, Juan L. Rodriguez-Flores, Jason G. Mezey, Yael Strulovici-Barel, Guoqing Wang, Lukas Didon, Ronald Crystal

Research output: Contribution to journalArticle

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Abstract

Background: The small airway epithelium (SAE), the cell population that covers the human airway surface from the 6 th generation of airway branching to the alveoli, is the major site of lung disease caused by smoking. The focus of this study is to provide quantitative assessment of the SAE transcriptome in the resting state and in response to chronic cigarette smoking using massive parallel mRNA sequencing (RNA-Seq).Results: The data demonstrate that 48% of SAE expressed genes are ubiquitous, shared with many tissues, with 52% enriched in this cell population. The most highly expressed gene, SCGB1A1, is characteristic of Clara cells, the cell type unique to the human SAE. Among other genes expressed by the SAE are those related to Clara cell differentiation, secretory mucosal defense, and mucociliary differentiation. The high sensitivity of RNA-Seq permitted quantification of gene expression related to infrequent cell populations such as neuroendocrine cells and epithelial stem/progenitor cells. Quantification of the absolute smoking-induced changes in SAE gene expression revealed that, compared to ubiquitous genes, more SAE-enriched genes responded to smoking with up-regulation, and those with the highest basal expression levels showed most dramatic changes. Smoking had no effect on SAE gene splicing, but was associated with a shift in molecular pattern from Clara cell-associated towards the mucus-secreting cell differentiation pathway with multiple features of cancer-associated molecular phenotype.Conclusions: These observations provide insights into the unique biology of human SAE by providing quantit-ative assessment of the global transcriptome under physiological conditions and in response to the stress of chronic cigarette smoking.

Original languageEnglish
Article number82
JournalBMC Genomics
Volume13
Issue number1
DOIs
Publication statusPublished - 29 Feb 2012
Externally publishedYes

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Transcriptome
Epithelium
RNA
Smoking
Genes
Cell Differentiation
Stem Cells
Population
RNA Sequence Analysis
Gene Expression
Neuroendocrine Cells
Mucus
Lung Diseases
Up-Regulation
Epithelial Cells
Phenotype
Messenger RNA

ASJC Scopus subject areas

  • Biotechnology
  • Genetics

Cite this

Hackett, N. R., Butler, M. W., Shaykhiev, R., Salit, J., Omberg, L., Rodriguez-Flores, J. L., ... Crystal, R. (2012). RNA-Seq quantification of the human small airway epithelium transcriptome. BMC Genomics, 13(1), [82]. https://doi.org/10.1186/1471-2164-13-82

RNA-Seq quantification of the human small airway epithelium transcriptome. / Hackett, Neil R.; Butler, Marcus W.; Shaykhiev, Renat; Salit, Jacqueline; Omberg, Larsson; Rodriguez-Flores, Juan L.; Mezey, Jason G.; Strulovici-Barel, Yael; Wang, Guoqing; Didon, Lukas; Crystal, Ronald.

In: BMC Genomics, Vol. 13, No. 1, 82, 29.02.2012.

Research output: Contribution to journalArticle

Hackett, NR, Butler, MW, Shaykhiev, R, Salit, J, Omberg, L, Rodriguez-Flores, JL, Mezey, JG, Strulovici-Barel, Y, Wang, G, Didon, L & Crystal, R 2012, 'RNA-Seq quantification of the human small airway epithelium transcriptome', BMC Genomics, vol. 13, no. 1, 82. https://doi.org/10.1186/1471-2164-13-82
Hackett NR, Butler MW, Shaykhiev R, Salit J, Omberg L, Rodriguez-Flores JL et al. RNA-Seq quantification of the human small airway epithelium transcriptome. BMC Genomics. 2012 Feb 29;13(1). 82. https://doi.org/10.1186/1471-2164-13-82
Hackett, Neil R. ; Butler, Marcus W. ; Shaykhiev, Renat ; Salit, Jacqueline ; Omberg, Larsson ; Rodriguez-Flores, Juan L. ; Mezey, Jason G. ; Strulovici-Barel, Yael ; Wang, Guoqing ; Didon, Lukas ; Crystal, Ronald. / RNA-Seq quantification of the human small airway epithelium transcriptome. In: BMC Genomics. 2012 ; Vol. 13, No. 1.
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