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Pawlowska, A.

Publications and source records attributed to Pawlowska, A..

2 recordsLinked to original sources

A microtissue-based retinal fibrosis platform for drug efficacy testing

PURPOSEDevelopment of a microtissue-based phenotypic screening platform to assess the potency of antifibrotic drugs for patients with the neovascular form of age-related macular degeneration. METHODSA robust and scalable three-dimensional in vitro model based on primary retinal pigment epithelium (RPE) cells was developed, and a fibrotic disease phenotype was induced. The endpoints included scalable image-based segmentation and quantification of collagen I and fibronectin, bright-field analysis of phenotypic morphological changes, and the analysis of secreted procollagen I levels alongside whole-transcriptome gene expression profiling to demonstrate the potency of compounds in repressing the fibrotic phenotype. RESULTSThe developed model shows similarity to in vivo tissue structures. The three-dimensional constructs form a prominent, polarized monolayer at the periphery. Cellular markers, including Ezrin and ZO-1, confirm epithelial identity and a strongly polarized morphology with junctional structures. Transcriptomic analysis over the culture period demonstrates progressive microtissue maturation. Pathway modulators induced epithelial-to-mesenchymal transition (EMT) and fibrotic phenotypes. Transcriptomic analysis demonstrated strong marker upregulation. The fibrotic phenotype and its repression by specific small molecule inhibitors were confirmed by measuring secreted procollagen I, quantifying fibronectin and collagen I, and assessing morphological changes via bright-field imaging. CONCLUSIONSThe developed test system exhibits tissue-specific morphology and functionality, showing a high degree of retinal identity. Disease induction led to broad induction of EMT and fibrotic markers, rendering the test system amenable to testing compounds that inhibit or repress fibrotic phenotypes. Production, culture, and endpoint assessment on the Akura platform render the system fully automation-compatible and scalable to higher throughput.

Cell Biology↗

Biological management, rather than chemical management, promotes the interaction between plants and their microbiome

In the face of climate change, developing sustainable agricultural practices to reduce the use of synthetic herbicides and pesticides is crucial. However, breeding for higher yields can lead to the decoupling of plant roots and beneficial rhizosphere microbes. In this study, we aim to identify potato cultivars with functional traits facilitating efficient interactions with the rhizosphere microbiome under various agricultural treatments in the field. With the results of profiling microbial communities with amplicon sequencing data of bacteria (16S rRNA gene fragments) and fungi (ITS2 region), a piecewise structural equation model was developed. This model explains the trade-off effects of agricultural management and potato cultivars on plant growth by affecting the rhizosphere microbiome. Furthermore, we highlight that plant cultivar and the rhizosphere microbiome together determine plant below-ground growth under biological management. In contrast, both components are found to be uncoupled under chemical and control management. Our study reveals the importance of considering microbiomes in the breeding process to achieve the goals of sustainable agriculture.

microbiology↗