Literature DB >> 31601710

Suitable reference genes determination for real-time PCR using induced sputum samples.

Catherine Moermans1,2, Esteban Deliege3, Dimitri Pirottin4,5, Christophe Poulet6, Julien Guiot1,2, Monique Henket1,2, Jane da Silva7, Renaud Louis1,2.   

Abstract

Induced sputum is a non-invasive method of collecting cells from airways. Gene expression analysis from sputum cells has been used to understand the underlying mechanisms of airway diseases such as asthma or chronic obstructive pulmonary disease (COPD). Suitable reference genes for normalisation of target mRNA levels between sputum samples have not been defined so far.The current study assessed the expression stability of nine common reference genes in sputum samples from 14 healthy volunteers, 12 asthmatics and 12 COPD patients.Using three different algorithms (geNorm, NormFinder and BestKeeper), we identified HPRT1 and GNB2L1 as the most optimal reference genes to use for normalisation of quantitative reverse transcriptase (RT) PCR data from sputum cells. The higher expression stability of HPRT1 and GNB2L1 were confirmed in a validation set of patients including nine healthy controls, five COPD patients and five asthmatic patients. In this group, the RNA extraction and RT-PCR methods differed, which attested that these genes remained the most reliable whatever the method used to extract the RNA, generate complementary DNA or amplify it.Finally, an example of relative quantification of gene expression linked to eosinophils or neutrophils provided more accurate results after normalisation with the reference genes identified as the most stable compared to the least stable and confirmed our findings.
Copyright ©ERS 2019.

Entities:  

Year:  2019        PMID: 31601710     DOI: 10.1183/13993003.00644-2018

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  4 in total

Review 1.  The Emerging Role of Extracellular Vesicles Detected in Different Biological Fluids in COPD.

Authors:  Tommaso Neri; Alessandro Celi; Mariaenrica Tinè; Nicol Bernardinello; Manuel G Cosio; Marina Saetta; Dario Nieri; Erica Bazzan
Journal:  Int J Mol Sci       Date:  2022-05-05       Impact factor: 6.208

Review 2.  Exosomal Long Non-Coding RNAs in Lung Diseases.

Authors:  Christophe Poulet; Makon-Sébastien Njock; Catherine Moermans; Edouard Louis; Renaud Louis; Michel Malaise; Julien Guiot
Journal:  Int J Mol Sci       Date:  2020-05-19       Impact factor: 5.923

3.  ddPCR increases detection of SARS-CoV-2 RNA in patients with low viral loads.

Authors:  Agnès Marchio; Christophe Batejat; Jessica Vanhomwegen; Maxence Feher; Quentin Grassin; Maxime Chazal; Olivia Raulin; Anne Farges-Berth; Florence Reibel; Vincent Estève; Anne Dejean; Nolwenn Jouvenet; Jean-Claude Manuguerra; Pascal Pineau
Journal:  Arch Virol       Date:  2021-07-12       Impact factor: 2.574

4.  Selection of endogenous control genes for normalising gene expression data derived from formalin-fixed paraffin-embedded tumour tissue.

Authors:  Tim A D Smith; Omneya A AbdelKarem; Joely J Irlam-Jones; Brian Lane; Helen Valentine; Becky A S Bibby; Helen Denley; Ananya Choudhury; Catharine M L West
Journal:  Sci Rep       Date:  2020-10-14       Impact factor: 4.379

  4 in total

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