RNA sequencing from human neutrophils reveals distinct transcriptional differences associated with chronic inflammatory states

41Citations
Citations of this article
94Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: The transcriptional complexity of mammalian cells suggests that they have broad abilities to respond to specific environmental stimuli and physiologic contexts. These abilities were not apparent a priori from the structure of mammalian genomes, but have been identified through detailed transcriptome analyses. In this study, we examined the transcriptomes of cells of the innate immune system, human neutrophils, using RNA sequencing (RNAseq). Methods: We sequenced poly-A RNA from nine individual samples corresponding to specific phenotypes: three children with active, untreated juvenile idiopathic arthritis (JIA)(AD), three children with the same disease whose disease was inactive on medication (CRM), and three children with cystic fibrosis (CF). Results: We demonstrate that transcriptomes of neutrophils, typically considered non-specific in their responses and functions, display considerable specificity in their transcriptional repertoires dependent on the pathologic context, and included genes, gene isoforms, and long non-coding RNA transcripts. Furthermore, despite the small sample numbers, these findings demonstrate the potential of RNAseq approaches to biomarker development in rheumatic diseases. Conclusions: These data demonstrate the capacity of cells previously considered non-specific in function to adapt their transcriptomes to specific biologic contexts. These data also provide insight into previously unrecognized pathological pathways and show considerable promise for elucidating disease and disease-state specific regulatory networks.

Cite

CITATION STYLE

APA

Jiang, K., Sun, X., Chen, Y., Shen, Y., & Jarvis, J. N. (2015). RNA sequencing from human neutrophils reveals distinct transcriptional differences associated with chronic inflammatory states. BMC Medical Genomics, 8(1). https://doi.org/10.1186/s12920-015-0128-7

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free