Comparative analyses of long non-coding RNA profiles in vivo in cystic fibrosis lung airway and parenchyma tissues.

Parameet Kumar, Chaitali Sen, Kathryn Peters, Raymond A Frizzell, Roopa Biswas
Author Information
  1. Parameet Kumar: Department of Anatomy, Physiology and Genetics, School of Medicine, Uniformed Services University of the Health Sciences, Room B4024, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA.
  2. Chaitali Sen: Department of Anatomy, Physiology and Genetics, School of Medicine, Uniformed Services University of the Health Sciences, Room B4024, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA.
  3. Kathryn Peters: Departments of Pediatrics and Cell Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
  4. Raymond A Frizzell: Departments of Pediatrics and Cell Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
  5. Roopa Biswas: Department of Anatomy, Physiology and Genetics, School of Medicine, Uniformed Services University of the Health Sciences, Room B4024, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA. roopa.biswas@usuhs.edu.

Abstract

BACKGROUND: Recent advances in the functional analyses of endogenous non-coding RNA (ncRNA) molecules, including long non-coding RNAs (LncRNAs), have provided a new perspective on the crucial roles of RNA in gene regulation. Consequently, LncRNA deregulation is a key factor in various diseases, including pulmonary disorders like Cystic Fibrosis (CF). CF is the most common life limiting recessive disease in the U.S., and is due to mutations in the CFTR gene. CF mutations, of which the most common is F508del-CFTR, prevents correct folding, trafficking and function of the mutant CFTR protein and is further manifested by the hyper-expression of pro-inflammatory cytokines and chemokines into the airway lumen leading to bronchiectasis and culminating in lung destruction.
METHODS: Here we report a distinct LncRNA signature and corresponding mRNAs that distinguishes CF lung (airway and parenchyma) tissues from matched non-CF controls (n = 4 each group), generated by microarray specific for LncRNAs which includes corresponding mRNA expressions. In silico analyses of the cellular processes that are impacted by these LncRNAs was performed using Gene Ontology (GO). A selected subset of LncRNAs were validated by quantitative real-time PCR.
RESULTS: We have identified 636 LncRNAs differentially expressed in CF airway epithelium and 1974 in CF lung parenchyma compared to matched non-CF controls (fold change ≥2, p < 0.05), majority of which (> 50%) are intergenic. Interestingly, 15 of these differentially expressed LncRNAs and 9 coding mRNAs are common to airway and parenchyma tissues. GO analyses indicates that signaling pathways and cell membrane functions are significantly affected by the alteration in LncRNA expressions in CF lung tissues. Seven of the differentially expressed LncRNAs, exhibit similar expression trends in CFBE41o- compared to control cells.
CONCLUSION: Understanding the mechanisms by which these LncRNAs regulate CF disease phenotype will help develop novel therapeutic targets for CF and related pulmonary diseases, such as COPD and Asthma.

Keywords

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Grants

  1. R01 DK068196/NIDDK NIH HHS
  2. DK72506/NIDDK NIH HHS
  3. FRIZZE05XX/Cystic Fibrosis Foundation
  4. DK68196/NIDDK NIH HHS
  5. 1I80VP000012/NHLBI/DOD

MeSH Term

Adolescent
Adult
Case-Control Studies
Cell Line
Cystic Fibrosis
Epithelial Cells
Female
Gene Expression Profiling
Gene Expression Regulation
Gene Regulatory Networks
Humans
Lung
Male
Parenchymal Tissue
RNA, Long Noncoding
Transcriptome
Young Adult

Chemicals

RNA, Long Noncoding

Word Cloud

Created with Highcharts 10.0.0CFLncRNAslungairwayanalysesnon-codingRNAparenchymatissueslongLncRNAcommondiseasedifferentiallyexpressedincludinggenediseasespulmonaryCysticmutationsCFTRF508del-CFTRcorrespondingmRNAsmatchednon-CFcontrolsmRNAexpressionsGOcomparedfibrosisBACKGROUND:RecentadvancesfunctionalendogenousncRNAmoleculesRNAsprovidednewperspectivecrucialrolesregulationConsequentlyderegulationkeyfactorvariousdisorderslikeFibrosislifelimitingrecessiveUSduepreventscorrectfoldingtraffickingfunctionmutantproteinmanifestedhyper-expressionpro-inflammatorycytokineschemokineslumenleadingbronchiectasisculminatingdestructionMETHODS:reportdistinctsignaturedistinguishesn = 4groupgeneratedmicroarrayspecificincludessilicocellularprocessesimpactedperformedusingGeneOntologyselectedsubsetvalidatedquantitativereal-timePCRRESULTS:identified636epithelium1974foldchange≥2p < 005majority> 50%intergenicInterestingly159codingindicatessignalingpathwayscellmembranefunctionssignificantlyaffectedalterationSevenexhibitsimilarexpressiontrendsCFBE41o-controlcellsCONCLUSION:UnderstandingmechanismsregulatephenotypewillhelpdevelopnoveltherapeutictargetsrelatedCOPDAsthmaComparativeprofilesvivocystic

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