Publicação
Comparative analysis of oral epithelial cells from Human and Mouse using single-cell RNA sequencing data
| Resumo: | Different tissues respond differently to damage, such as scar formation, pain level, and healing time. Oral mucosa is a tissue with a high potential to heal faster and scarlessly than other tissues, such as the skin. Differences in the healing process result from a combination of factors, such as structure, microenvironment, subpopulations of fibroblasts and dynamics of keratinocyte proliferation. However, the heterogeneity of tissues in the oral mucosa and their cellular and molecular diversity have not yet been thoroughly studied. Next-generation sequencing technologies, such as single-cell RNA sequencing (scRNA-seq), allow the study of tissue heterogeneity of tissues, allowing the detection of new cell types and subpopulations. In this study, we compared epithelial cells in oral tissues from two species, Homo sapiens and Mus musculus, using bioinformatics tools to disclose the gene markers related to scarless and fast healing processes in this tissue. We used machine learning algorithms to analyse the scRNA-seq data from pre-processing until the results. We expanded our analysis using RNA velocity analysis, a crucial tool in our study for characterising the developmental trajectory of differentiating cells. This dissertation identified similar gene signatures and behaviours between tissues and from the two species. Our research displayed subpopulations found in other studies and tissues, and identified different behaviours in their stem cells subpopulation. Overlapping the data from the two species highlighted more similarities between the tissues of human buccal and mouse hard palate tissues than between buccal tissues from both species. Other in silico and in vitro approaches should be followed to validate the results. Testing this finding could be game-changing in the study of the wound healing process, with possible patient benefits. Also, integrating the Oral and Craniofacial Human Cell Atlas is a future aim for others to be able to use the data obtained. |
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| Autores principais: | Fernandes, Alexandre José Ferreira |
| Assunto: | Humano rato Epitélio oral scRNA-seq Teses de mestrado - 2023 |
| Ano: | 2023 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso embargado |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | Different tissues respond differently to damage, such as scar formation, pain level, and healing time. Oral mucosa is a tissue with a high potential to heal faster and scarlessly than other tissues, such as the skin. Differences in the healing process result from a combination of factors, such as structure, microenvironment, subpopulations of fibroblasts and dynamics of keratinocyte proliferation. However, the heterogeneity of tissues in the oral mucosa and their cellular and molecular diversity have not yet been thoroughly studied. Next-generation sequencing technologies, such as single-cell RNA sequencing (scRNA-seq), allow the study of tissue heterogeneity of tissues, allowing the detection of new cell types and subpopulations. In this study, we compared epithelial cells in oral tissues from two species, Homo sapiens and Mus musculus, using bioinformatics tools to disclose the gene markers related to scarless and fast healing processes in this tissue. We used machine learning algorithms to analyse the scRNA-seq data from pre-processing until the results. We expanded our analysis using RNA velocity analysis, a crucial tool in our study for characterising the developmental trajectory of differentiating cells. This dissertation identified similar gene signatures and behaviours between tissues and from the two species. Our research displayed subpopulations found in other studies and tissues, and identified different behaviours in their stem cells subpopulation. Overlapping the data from the two species highlighted more similarities between the tissues of human buccal and mouse hard palate tissues than between buccal tissues from both species. Other in silico and in vitro approaches should be followed to validate the results. Testing this finding could be game-changing in the study of the wound healing process, with possible patient benefits. Also, integrating the Oral and Craniofacial Human Cell Atlas is a future aim for others to be able to use the data obtained. |
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