<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bampi GB</submitter><funding>NIDDK NIH HHS</funding><funding>Burroughs Wellcome Fund</funding><funding>Cystic Fibrosis Foundation</funding><funding>NHLBI NIH HHS</funding><funding>Cystic Fibrosis Trust</funding><pagination>1021-1026</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7932027</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>19(6)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Chronic inflammation is a hallmark among patients with cystic fibrosis (CF). We explored whether mutation-induced (F508del) misfolding of the cystic fibrosis transmembrane conductance regulator (CFTR), and/or secondary colonization with opportunistic pathogens, activate tissue remodeling and innate immune response drivers.&lt;h4>Methods&lt;/h4>Using RNA-seq to interrogate global gene expression profiles, we analyzed stress response signaling cascades in primary human bronchial epithelia (HBE) and intestinal organoids.&lt;h4>Results&lt;/h4>Primary HBE acquired from CF patients with advanced disease and prolonged exposure to pathogenic microorganisms display a clear molecular signature of activated tissue remodeling pathways, unfolded protein response (UPR), and chronic inflammation. Furthermore, CFTR misfolding induces inflammatory signaling cascades in F508del patient-derived organoids from both the distal small intestine and colon.&lt;h4>Conclusion&lt;/h4>Despite the small patient cohort size, this proof-of-principle study supports the use of RNA-seq as a means to both identify CF-specific signaling profiles in various tissues and evaluate disease heterogeneity. Our global transcriptomic data is a useful resource for the CF research community for analyzing other gene expression sets influencing CF disease signature but also transcriptionally contributing to CF heterogeneity.</pubmed_abstract><journal>Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society</journal><pubmed_title>Global assessment of the integrated stress response in CF patient-derived airway and intestinal tissues.</pubmed_title><pmcid>PMC7932027</pmcid><funding_grant_id>R01 DK068196</funding_grant_id><funding_grant_id>SRC011</funding_grant_id><funding_grant_id>K99 HL151965</funding_grant_id><funding_grant_id>R01 HL136414</funding_grant_id><pubmed_authors>Bampi GB</pubmed_authors><pubmed_authors>Bijvelds MJC</pubmed_authors><pubmed_authors>Rauscher R</pubmed_authors><pubmed_authors>Frizzell RA</pubmed_authors><pubmed_authors>de Jonge HR</pubmed_authors><pubmed_authors>Sorscher EJ</pubmed_authors><pubmed_authors>Oliver KE</pubmed_authors><pubmed_authors>Wagner J</pubmed_authors><pubmed_authors>Ignatova Z</pubmed_authors><pubmed_authors>Kirchner S</pubmed_authors><pubmed_authors>Santos LA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Global assessment of the integrated stress response in CF patient-derived airway and intestinal tissues.</name><description>&lt;h4>Background&lt;/h4>Chronic inflammation is a hallmark among patients with cystic fibrosis (CF). We explored whether mutation-induced (F508del) misfolding of the cystic fibrosis transmembrane conductance regulator (CFTR), and/or secondary colonization with opportunistic pathogens, activate tissue remodeling and innate immune response drivers.&lt;h4>Methods&lt;/h4>Using RNA-seq to interrogate global gene expression profiles, we analyzed stress response signaling cascades in primary human bronchial epithelia (HBE) and intestinal organoids.&lt;h4>Results&lt;/h4>Primary HBE acquired from CF patients with advanced disease and prolonged exposure to pathogenic microorganisms display a clear molecular signature of activated tissue remodeling pathways, unfolded protein response (UPR), and chronic inflammation. Furthermore, CFTR misfolding induces inflammatory signaling cascades in F508del patient-derived organoids from both the distal small intestine and colon.&lt;h4>Conclusion&lt;/h4>Despite the small patient cohort size, this proof-of-principle study supports the use of RNA-seq as a means to both identify CF-specific signaling profiles in various tissues and evaluate disease heterogeneity. Our global transcriptomic data is a useful resource for the CF research community for analyzing other gene expression sets influencing CF disease signature but also transcriptionally contributing to CF heterogeneity.</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Nov</publication><modification>2024-11-21T00:57:57.792Z</modification><creation>2021-03-07T08:15:50Z</creation></dates><accession>S-EPMC7932027</accession><cross_references><pubmed>32451204</pubmed><doi>10.1016/j.jcf.2020.04.005</doi></cross_references></HashMap>