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Fibrotic microtissue array to predict anti-fibrosis drug efficacy.

ABSTRACT: Fibrosis is a severe health problem characterized by progressive stiffening of tissues which causes organ malfunction and failure. A major bottleneck in developing new anti-fibrosis therapies is the lack of in vitro models that recapitulate dynamic changes in tissue mechanics during fibrogenesis. Here we create membranous human lung microtissues to model key biomechanical events occurred during lung fibrogenesis including progressive stiffening and contraction of alveolar tissue, decline in alveolar tissue compliance and traction force-induced bronchial dilation. With these capabilities, we provide proof of principle for using this fibrotic tissue array for multi-parameter, phenotypic analysis of the therapeutic efficacy of two anti-fibrosis drugs recently approved by the FDA. Preventative treatments with Pirfenidone and Nintedanib reduce tissue contractility and prevent tissue stiffening and decline in tissue compliance. In a therapeutic treatment regimen, both drugs restore tissue compliance. These results highlight the pathophysiologically relevant modeling capability of our novel fibrotic microtissue system.

SUBMITTER: Asmani M

PROVIDER: S-EPMC5970268 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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Fibrotic microtissue array to predict anti-fibrosis drug efficacy.

Asmani Mohammadnabi M Velumani Sanjana S Li Yan Y Wawrzyniak Nicole N Hsia Isaac I Chen Zhaowei Z Hinz Boris B Zhao Ruogang R

Nature communications 20180525 1

Fibrosis is a severe health problem characterized by progressive stiffening of tissues which causes organ malfunction and failure. A major bottleneck in developing new anti-fibrosis therapies is the lack of in vitro models that recapitulate dynamic changes in tissue mechanics during fibrogenesis. Here we create membranous human lung microtissues to model key biomechanical events occurred during lung fibrogenesis including progressive stiffening and contraction of alveolar tissue, decline in alve ...[more]

PMID: 29802256

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Project description:We used all five current human African trypanosomiasis drugs for genome-scale RNA interference (RNAi) target sequencing (RIT-seq) screens in Trypanosoma brucei, revealing the transporters, organelles, enzymes and metabolic pathways that function to facilitate anti-trypanosomal drug action. RIT-seq profiling links more than fifty additional genes to drug action. This data has been described in the following article [doi:10.1038/nature10771] and its further analysis can be freely submitted for publication. For information on the proper use of data shared by the Wellcome Trust Sanger Institute (including information on acknowledgement), please see http://www.sanger.ac.uk/datasharing/. Protocol - Assembly of the bloodstream-form T. brucei RNAi library and the RNAi target sequencing (RIT-seq) approach were reported previously (Alsford, S. et al. High-throughput phenotyping using parallel sequencing of RNA interference targets in the African trypanosome. Genome Res 21, 915-924, 264 doi:gr.115089.110 [pii] 265 10.1101/gr.115089.110 (2011). Briefly, a tetracycline-inducible RNAi plasmid library, containing randomly sheared genomic fragments (mean ~600 bp) under the control of head-to-head T7 promoters, was targeted to a single genomic locus that had been validated for robust expression. For this study, the library was grown under inducing conditions with drug selection and genomic DNA was isolated from surviving populations. For chemical RIT-seq profiling, adapter-ligated sequencing libraries were prepared from each genomic DNA sample and used to amplify DNA fragments containing RNAi cassette-insert junctions in semi-specific PCR reactions; one primer was specific for the RNAi vector and the other for the Illumina adapter. Size-selected DNA was sequenced with 76 cycle paired-end runs on an Illumina GAII. Illumina sequencing reads containing a nine-base RNAi vector junction sequence were then mapped to the T. brucei reference genome. Where loss of function increases drug tolerance, RNAi-target sequence representation is increased relative to the otherwise susceptible population, revealing hot spots.

Dataset Information

Fibrotic microtissue array to predict anti-fibrosis drug efficacy.

Publications

Fibrotic microtissue array to predict anti-fibrosis drug efficacy.

Similar Datasets

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