Biology subjects

Ballinger, M.

Publications and source records attributed to Ballinger, M..

4 recordsLinked to original sources

bioRxiv2026

Engineering a 3D Lung Co-culture Platform to Model Epithelial-Fibroblast Interactions in Pulmonary Fibrosis

Idiopathic pulmonary fibrosis (IPF) is a fatal interstitial lung disease (ILD) characterized by progressive fibrosis, irreversible loss of lung elasticity, and chronic respiratory failure, with a mean survival of 3-5 years. The disease is believed to result from repeated alveolar epithelial injury that sustains transforming growth factor-beta (TGF-{beta}) signaling, driving fibroblast-to-myofibroblast differentiation and excessive collagen deposition. Although current IPF models--including animal studies, 2D cultures, and basic 3D systems--have enhanced understanding of disease mechanisms, they inadequately replicate epithelial-fibroblast interactions, extracellular matrix (ECM) remodeling, and epithelial barrier dysfunction. To address this limitation, we engineered a 3D lung co-culture model that simulates the physiological epithelial-fibroblast crosstalk and ECM remodeling characteristic of IPF. Our model embeds fibroblasts within a collagen-hyaluronic acid matrix overlaid with an epithelial monolayer cultured at an air-liquid interface. Basolateral TGF-{beta} exposure generated a profibrotic microenvironment that weakened epithelial barrier integrity and drove myofibroblast differentiation marked by elevated -SMA and vimentin. Elevated pro-inflammatory cytokine secretion and increased collagen disorganization further demonstrated active fibrogenesis. Together, these features show that our model captures key early events in IPF pathogenesis and offers a versatile platform for next-generation lung-on-a-chip studies in fibrotic disease.

bioengineering↗

bioRxiv2023

An interdependent Metabolic and Genetic Network shows emergent properties in vitro

A hallmark of all living organisms is their ability for self-regeneration which requires a tight integration of metabolic and genetic networks. Here we constructed a metabolic and genetic linked in vitro network (MGLN) that shows life-like behavior outside of a cellular context and generates its own building blocks from non-living matter. To this end, we integrated the metabolism of the crotonyl-CoA/ethyl-malonyl-CoA/hydroxybutyryl-CoA (CETCH) cycle with cell-free protein synthesis using recombinant elements (PURE). We demonstrate that the MGLN produces the essential amino acid glycine from inorganic carbon (CO2), and incorporates it into target proteins following DNA-encoded instructions. By programming genetically encoded response into metabolic networks our work opens new avenues for the development of advanced biomimetic systems with emergent properties, including decision-making, self-regeneration and evolution.

synthetic biology↗

bioRxiv2021

Combi-Seq: Multiplexed transcriptome-based profiling of drug combinations using 1deterministic barcoding in single-cell droplets

Anti-cancer therapies often exhibit only short-term effects. Tumors typically develop drug resistance causing relapses that might be tackled with drug combinations. Identification of the right combination is challenging and would benefit from high-content, high-throughput combinatorial screens directly on patient biopsies. However, such screens require a large amount of material, normally not available from patients. To address these challenges, we developed a scalable microfluidic workflow to screen hundreds of drug combinations in picoliter-size droplets using transcriptome changes as a readout for drug effects. We devised a deterministic combinatorial DNA barcoding approach to encode treatment conditions, enabling the gene expression-based readout of drug effects in a highly multiplexed fashion. We applied our method to screen the effect of 420 drug combinations on the transcriptome of K562 cells using only [~]250 single cell droplets per condition, to successfully predict synergistic and antagonistic drug pairs, as well as their pathway activities.

systems biology↗

bioRxiv2019

Nanoparticle delivery of microRNA-146a regulates mechanotransduction in lung macrophages and mitigates lung injury during mechanical ventilation

During mechanical ventilation, injurious biophysical forces exacerbate lung injury. These forces disrupt alveolar capillary barrier integrity, trigger proinflammatory mediator release, and differentially regulate genes and non-coding oligonucleotides such as microRNAs. In this study, we identify miR-146a as a mechanosensitive microRNA in alveolar macrophages that has therapeutic potential to mitigate lung injury during mechanical ventilation. We used humanized in-vitro systems, mouse models, and biospecimens from mechanically ventilated patients to elucidate the expression dynamics of miR-146a that might be required to decrease lung injury during mechanical ventilation. We found that the endogenous increase in miR-146a following injurious was relatively modest and not sufficient to prevent lung injury. However, when miR-146a was highly overexpressed using a nanoparticle-based delivery platform in vivo, it was sufficient to prevent lung injury. These data indicate that the endogenous increase in microRNA-146a during MV is a compensatory response that only partially limits VILI and that nanoparticle delivery approaches that significantly over-express microRNA-146a in AMs is an effective strategy for mitigating VILI.

molecular biology↗