Cargando…
Deconvolution of spatial sequencing provides accurate characterization of hESC-derived DA transplants in vivo
Cell therapy for Parkinson’s disease has experienced substantial growth in the past decades with several ongoing clinical trials. Despite increasing refinement of differentiation protocols and standardization of the transplanted neural precursors, the transcriptomic analysis of cells in the transpla...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Gene & Cell Therapy
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209706/ https://www.ncbi.nlm.nih.gov/pubmed/37251982 http://dx.doi.org/10.1016/j.omtm.2023.04.008 |
_version_ | 1785046933941780480 |
---|---|
author | Rájová, Jana Davidsson, Marcus Avallone, Martino Hartnor, Morgan Aldrin-Kirk, Patrick Cardoso, Tiago Nolbrant, Sara Mollbrink, Annelie Storm, Petter Heuer, Andreas Parmar, Malin Björklund, Tomas |
author_facet | Rájová, Jana Davidsson, Marcus Avallone, Martino Hartnor, Morgan Aldrin-Kirk, Patrick Cardoso, Tiago Nolbrant, Sara Mollbrink, Annelie Storm, Petter Heuer, Andreas Parmar, Malin Björklund, Tomas |
author_sort | Rájová, Jana |
collection | PubMed |
description | Cell therapy for Parkinson’s disease has experienced substantial growth in the past decades with several ongoing clinical trials. Despite increasing refinement of differentiation protocols and standardization of the transplanted neural precursors, the transcriptomic analysis of cells in the transplant after its full maturation in vivo has not been thoroughly investigated. Here, we present spatial transcriptomics analysis of fully differentiated grafts in their host tissue. Unlike earlier transcriptomics analyses using single-cell technologies, we observe that cells derived from human embryonic stem cells (hESCs) in the grafts adopt mature dopaminergic signatures. We show that the presence of phenotypic dopaminergic genes, which were found to be differentially expressed in the transplants, is concentrated toward the edges of the grafts, in agreement with the immunohistochemical analyses. Deconvolution shows dopamine neurons being the dominating cell type in many features beneath the graft area. These findings further support the preferred environmental niche of TH-positive cells and confirm their dopaminergic phenotype through the presence of multiple dopaminergic markers. |
format | Online Article Text |
id | pubmed-10209706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Society of Gene & Cell Therapy |
record_format | MEDLINE/PubMed |
spelling | pubmed-102097062023-05-26 Deconvolution of spatial sequencing provides accurate characterization of hESC-derived DA transplants in vivo Rájová, Jana Davidsson, Marcus Avallone, Martino Hartnor, Morgan Aldrin-Kirk, Patrick Cardoso, Tiago Nolbrant, Sara Mollbrink, Annelie Storm, Petter Heuer, Andreas Parmar, Malin Björklund, Tomas Mol Ther Methods Clin Dev Original Article Cell therapy for Parkinson’s disease has experienced substantial growth in the past decades with several ongoing clinical trials. Despite increasing refinement of differentiation protocols and standardization of the transplanted neural precursors, the transcriptomic analysis of cells in the transplant after its full maturation in vivo has not been thoroughly investigated. Here, we present spatial transcriptomics analysis of fully differentiated grafts in their host tissue. Unlike earlier transcriptomics analyses using single-cell technologies, we observe that cells derived from human embryonic stem cells (hESCs) in the grafts adopt mature dopaminergic signatures. We show that the presence of phenotypic dopaminergic genes, which were found to be differentially expressed in the transplants, is concentrated toward the edges of the grafts, in agreement with the immunohistochemical analyses. Deconvolution shows dopamine neurons being the dominating cell type in many features beneath the graft area. These findings further support the preferred environmental niche of TH-positive cells and confirm their dopaminergic phenotype through the presence of multiple dopaminergic markers. American Society of Gene & Cell Therapy 2023-05-04 /pmc/articles/PMC10209706/ /pubmed/37251982 http://dx.doi.org/10.1016/j.omtm.2023.04.008 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Article Rájová, Jana Davidsson, Marcus Avallone, Martino Hartnor, Morgan Aldrin-Kirk, Patrick Cardoso, Tiago Nolbrant, Sara Mollbrink, Annelie Storm, Petter Heuer, Andreas Parmar, Malin Björklund, Tomas Deconvolution of spatial sequencing provides accurate characterization of hESC-derived DA transplants in vivo |
title | Deconvolution of spatial sequencing provides accurate characterization of hESC-derived DA transplants in vivo |
title_full | Deconvolution of spatial sequencing provides accurate characterization of hESC-derived DA transplants in vivo |
title_fullStr | Deconvolution of spatial sequencing provides accurate characterization of hESC-derived DA transplants in vivo |
title_full_unstemmed | Deconvolution of spatial sequencing provides accurate characterization of hESC-derived DA transplants in vivo |
title_short | Deconvolution of spatial sequencing provides accurate characterization of hESC-derived DA transplants in vivo |
title_sort | deconvolution of spatial sequencing provides accurate characterization of hesc-derived da transplants in vivo |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209706/ https://www.ncbi.nlm.nih.gov/pubmed/37251982 http://dx.doi.org/10.1016/j.omtm.2023.04.008 |
work_keys_str_mv | AT rajovajana deconvolutionofspatialsequencingprovidesaccuratecharacterizationofhescderiveddatransplantsinvivo AT davidssonmarcus deconvolutionofspatialsequencingprovidesaccuratecharacterizationofhescderiveddatransplantsinvivo AT avallonemartino deconvolutionofspatialsequencingprovidesaccuratecharacterizationofhescderiveddatransplantsinvivo AT hartnormorgan deconvolutionofspatialsequencingprovidesaccuratecharacterizationofhescderiveddatransplantsinvivo AT aldrinkirkpatrick deconvolutionofspatialsequencingprovidesaccuratecharacterizationofhescderiveddatransplantsinvivo AT cardosotiago deconvolutionofspatialsequencingprovidesaccuratecharacterizationofhescderiveddatransplantsinvivo AT nolbrantsara deconvolutionofspatialsequencingprovidesaccuratecharacterizationofhescderiveddatransplantsinvivo AT mollbrinkannelie deconvolutionofspatialsequencingprovidesaccuratecharacterizationofhescderiveddatransplantsinvivo AT stormpetter deconvolutionofspatialsequencingprovidesaccuratecharacterizationofhescderiveddatransplantsinvivo AT heuerandreas deconvolutionofspatialsequencingprovidesaccuratecharacterizationofhescderiveddatransplantsinvivo AT parmarmalin deconvolutionofspatialsequencingprovidesaccuratecharacterizationofhescderiveddatransplantsinvivo AT bjorklundtomas deconvolutionofspatialsequencingprovidesaccuratecharacterizationofhescderiveddatransplantsinvivo |