13 research outputs found

    Foreskin-derived mesenchymal stromal cells with aldehyde dehydrogenase activity: Isolation and gene profiling

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    Background: Mesenchymal stromal cells (MSCs) become an attractive research topic because of their crucial roles in tissue repair and regenerative medicine. Foreskin is considered as a valuable tissue source containing immunotherapeutic MSCs (FSK-MSCs). Results: In this work, we used aldehyde dehydrogenase activity (ALDH) assay (ALDEFLUOR™) to isolate and therefore characterize subsets of FSK-MSCs. According to their ALDH activity, we were able to distinguish and sort by fluorescence activated cell sorting (FACS) two subsets of FSK-MSCs (referred as ALDH+ and ALDH-). Consequently, these subsets were characterized by profiling the gene expression related to the main properties of MSCs (proliferation, response to hypoxia, angiogenesis, phenotype, stemness, multilineage, hematopoiesis and immunomodulation). We thus demonstrated by Real Time PCR several relevant differences in gene expression based on their ALDH activity. Conclusion: Taken together, this preliminary study suggests that distinct subsets of FSK-MSCs with differential gene expression profiles depending of ALDH activity could be identified. These populations could differ in terms of biological functionalities involving the selection by ALDH activity as useful tool for potent therapeutic applications. However, functional studies should be conducted to confirm their therapeutic relevance.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

    Aldehyde dehydrogenase activity of Wharton jelly mesenchymal stromal cells: isolation and characterization

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    Mesenchymal stromal cells (MSCs) are promising tools in regenerative medicine and targeted therapies. Although different origins have been described, there is still huge need to find a valuable source harboring specific subpopulations of MSCs with precise therapeutic functions. Here, we isolated by fluorescence activated cell sorting technique, two populations of Wharton’s jelly (WJ)-MSCs based on their aldehyde dehydrogenase (ALDH) activity. Two different ALDH activities (low vs. high) were thus observed. We then analyzed their gene expression profile for stemness, phenotype, response to hypoxia, angiogenesis, hematopoietic support, immunomodulation and multilineage differentiation abilities (osteogenesis, adipogenesis, and chondrogenesis). According to ALDH activity, many differences in the mRNA expression of these populations were noticed. In conclusion, we provide evidences that WJ harbors two distinct populations of MSCs with different ALDH activity. These populations seem to display specific functional competences that may be interesting for concise therapeutic applications.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

    Novel prediction models for genotoxicity based on biomarker genes in human HepaRGTM cells

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    Transcriptomics-based biomarkers are promising new approach methodologies (NAMs) to identify molecular events underlying the genotoxic mode of action of chemicals. Previously, we developed the GENOMARK biomarker, consisting of 84 genes selected based on whole genomics DNA microarray profiles of 24 (non-)genotoxic reference chemicals covering different modes of action in metabolically competent human HepaRG™ cells. In the present study, new prediction models for genotoxicity were developed based on an extended reference dataset of 38 chemicals including existing as well as newly generated gene expression data. Both unsupervised and supervised machine learning algorithms were used, but as unsupervised machine learning did not clearly distinguish both groups, the performance of two supervised machine learning algorithms, i.e., support vector machine (SVM) and random forest (RF), was evaluated. More specifically, the predictive accuracy was compared, the sensitivity to outliers for one or more biomarker genes was assessed, and the prediction performance for 10 misleading positive chemicals exposed at their IC10 concentration was determined. In addition, the applicability of both prediction models on a publicly available gene expression dataset, generated with RNA-sequencing, was investigated. Overall, the RF and SVM models were complementary in their classification of chemicals for genotoxicity. To facilitate data analysis, an online application was developed, combining the outcomes of both prediction models. Furthermore, this research demonstrates that the combination of gene expression data with supervised machine learning algorithms can contribute to the ongoing paradigm shift towards a more human-relevant&nbsp;in vitro&nbsp;genotoxicity testing strategy without the use of experimental&nbsp;animals.</p

    Isolation and Characterization of Bone Marrow Mesenchymal Stromal Cell Subsets in Culture Based on Aldehyde Dehydrogenase Activity

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    Mesenchymal stromal cells (MSCs) have particular properties that allow their use as therapeutic strategies for several cell-based applications. Historically, bone marrow (BM)-MSCs are isolated by culture adherence since specific cell surface markers are yet to be developed. This original work aimed to identify and characterize isolating expanded BM-MSCs based on their aldehyde dehydrogenase (ALDH) activity known to be a hallmark of stem cells and relevant for their isolation. We thus isolated by fluorescence-activated cell sorting technology two functionally different populations of BM-MSCs depending on their ALDH activity (ALDH+ and ALDH-). Transcriptome analysis and profiling clearly demonstrated that both populations of BM-MSCs present distinct pattern of genes related to the main properties of MSCs (proliferation, response to hypoxia, angiogenesis, phenotype, stemness, multilineage, hematopoiesis, immunomodulation) in an ALDH activity dependent manner. Both BM-MSC populations look to significantly differ in terms of biological responses and functionalities. More functional analyses are needed to understand and characterize the properties of these ALDH populations. Collectively, our results highlight ALDH activity as a potential feature for isolating and segregating functional and/or competent subset of BM-MSC populations, which may account for better and more efficient therapeutic issue.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

    Reactive cholangiocytes differentiate into proliferative hepatocytes with efficient DNA repair in mice with chronic liver injury.

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    Chronic liver diseases are characterized by expansion of the small immature cholangiocytes - a mechanism named ductular reaction (DR) - which have the capacity to differentiate into hepatocytes. We investigated the kinetics of this differentiation, as well as analyzing several important features of the newly formed hepatocytes, such as functional maturity, clonal expansion and resistance to stress in mice with long-term liver damage. We tracked cholangiocytes using osteopontin-iCreER &lt;sup&gt;T2&lt;/sup&gt; and hepatocytes with AAV8-TBG-Cre. Mice received carbon tetrachloride (CCl &lt;sub&gt;4&lt;/sub&gt; ) for &gt;24 weeks to induce chronic liver injury. Livers were collected for the analysis of reporter proteins, cell proliferation and death, DNA damage, and nuclear ploidy; hepatocytes were also isolated for RNA sequencing. During liver injury we observed a transient DR and the differentiation of DR cells into hepatocytes as clones that expanded to occupy 12% of the liver parenchyma by week 8. By lineage tracing, we confirmed that these new hepatocytes derived from cholangiocytes but not from native hepatocytes. They had all the features of mature functional hepatocytes. In contrast to the exhausted native hepatocytes, these newly formed hepatocytes had higher proliferative capability, less apoptosis, a lower proportion of highly polyploid nuclei and were better at eliminating DNA damage. In chronic liver injury, DR cells differentiate into stress-resistant hepatocytes that repopulate the liver. The process might account for the observed parenchymal reconstitution in livers of patients with advanced-stage hepatitis and could be a target for regenerative purposes. During chronic liver disease, while native hepatocytes are exhausted and genetically unstable, a subset of cholangiocytes clonally expand to differentiate into young, functional and robust hepatocytes. This cholangiocyte cell population is a promising target for regenerative therapies in patients with chronic liver insufficiency
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