Biology subjects

Garcia-Bernardo, J.

Publications and source records attributed to Garcia-Bernardo, J..

4 recordsLinked to original sources

bioRxiv2024

Novel 3D Approach to Model Non-Alcoholic Fatty Liver Disease using human Pluripotent Stem Cells

Background and aimsNon-alcoholic fatty liver disease (NAFLD) is a major health care challenge and new therapies are urgently needed. However, the mechanisms underlying disease remain to be understood. Indeed, studying NAFLD remains challenging due to the lack of model systems recapitulating the different aspects of the human pathology. Human induced pluripotent stem cells (hiPSCs) offer a unique opportunity to address this limitation since they can be differentiated into large quantity of liver cells. Here, we took advantage of hiPSCs to develop a multi-cellular platform mimicking the complex interplays involved in NAFLD progression. MethodshiPSCs-derived hepatocyte like cells (HLCs), cholangiocytes, stellate cells, and macrophages were co-cultured in a collagen-based 3D system to reproduce the liver microenvironment. Fatty acid treatments led to a NAFLD phenotype involving cell-cell interactions which were investigated by transcriptomic and functional analyses. ResultsHepatic cells were grown up to 4weeks in 3D, retaining key functions and markers. Importantly, co-cultured cells spontaneously reorganised into physiologically relevant connections: HLCs arranged around biliary structures, which established contacts with stellate cells, while macrophages organised around HLCs. Fatty acid treatments induced steatosis and lipotoxicity in HLCs. Furthermore, fat-laden HLCs prompted a non-parenchymal cells response altering tissue architecture. ConclusionsOur multicellular platform provides a new approach to model interactions between human hepatic cells during NAFLD progression. Such approach has the potential to investigate the sequential events driving chronic liver diseases, including hepatocellular injury, inflammation and fibrosis. Furthermore, our system provides a unique and urgently needed tool to investigate the molecular mechanisms associated with NAFLD and ultimately to validate new targets for therapeutics development. List of abbreviationsCOs, cholangiocytes organoids; FFA, free fatty acids; hiPSCs, human induced pluripotent stem cells; HLCs, hepatocyte like cells; HSCs, hepatic stellate cells; M0, hiPSCs-derived macrophages; NAFLD, non-alcoholic fatty liver disease; NPCs, non-parenchymal cells; OA, oleic acid; PA, palmitic acid.

cell biology↗

bioRxiv2022

Single-cell atlas of human liver development reveals pathways directing hepatic cell fates

The liver has been studied extensively due to the broad number of diseases affecting its vital functions. However, therapeutic advances, especially in regenerative medicine, are currently hampered by the lack of knowledge concerning human hepatic cell development. Here, we addressed this limitation by describing the developmental trajectories of different cell types comprising the human fetal liver at single-cell resolution. These transcriptomic analyses revealed that sequential cell-to-cell interactions direct functional maturation of hepatocytes, with non-parenchymal cells playing critical, supportive roles during organogenesis. We utilised this information to derive bipotential hepatoblast organoids and then exploited this novel model system to validate the importance of key signalling pathways and developmental cues. Furthermore, these insights into hepatic maturation enabled the identification of stage-specific transcription factors to improve the functionality of hepatocyte-like cells generated from human pluripotent stem cells. Thus, our study establishes a new platform to investigate the basic mechanisms of human liver development and to produce cell types for clinical applications.

developmental biology↗

bioRxiv2020

Analysis of Endothelial-to-Haematopoietic Transition at the Single Cell Level identifies Cell Cycle Regulation as a Driver of Differentiation

Haematopoietic stem cells (HSC) first arise during development in the aorta-gonad-mesonephros (AGM) region of the embryo from a population of haemogenic endothelial cells which undergo endothelial-to-haematopoietic transition (EHT). Despite the progress achieved in recent years, the molecular mechanisms driving EHT are still poorly understood, especially in human where the AGM region is not easily accessible. In this study, we took advantage of a human pluripotent stem cell (hPSC) differentiation system and single-cell transcriptomics to recapitulate EHT in vitro and uncover mechanisms by which the haemogenic endothelium generates early haematopoietic cells. We show that most of the endothelial cells reside in a quiescent state and progress to the haematopoietic fate within a defined time window, within which they need to re-enter into the cell cycle. If cell cycle is blocked, haemogenic endothelial cells lose their EHT potential and adopt a non-haemogenic identity. Furthermore, we demonstrated that CDK4/6 and CDK1 play a key role not only in the transition but also in allowing haematopoietic progenitors to establish their full differentiation potential. Therefore, we propose a direct link between the molecular machineries that control cell cycle progression and EHT.

developmental biology↗

bioRxiv2019

Single-cell RNA-seq of differentiating iPS cells reveals dynamic genetic effects on gene expression

Recent developments in stem cell biology have enabled the study of cell fate decisions in early human development that are impossible to study in vivo. However, understanding how development varies across individuals and, in particular, the influence of common genetic variants during this process has not been characterised. Here, we exploit human iPS cell lines from 125 donors, a pooled experimental design, and single-cell RNA-sequencing to study population variation of endoderm differentiation. We identify molecular markers that are predictive of differentiation efficiency, and utilise heterogeneity in the genetic background across individuals to map hundreds of expression quantitative trait loci that influence expression dynamically during differentiation and across cellular contexts.

genomics↗