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Spatial transcriptomics reveals metabolic changes underly age-dependent declines in digit regeneration

De novo limb regeneration after amputation is restricted in mammals to the distal digit tip. Central to this regenerative process is the blastema, a heterogeneous population of lineage-restricted, dedifferentiated cells that ultimately orchestrates regeneration of the amputated bone and surrounding...

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Autores principales: Tower, Robert J, Busse, Emily, Jaramillo, Josue, Lacey, Michelle, Hoffseth, Kevin, Guntur, Anyonya R, Simkin, Jennifer, Sammarco, Mimi C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135401/
https://www.ncbi.nlm.nih.gov/pubmed/35616636
http://dx.doi.org/10.7554/eLife.71542
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author Tower, Robert J
Busse, Emily
Jaramillo, Josue
Lacey, Michelle
Hoffseth, Kevin
Guntur, Anyonya R
Simkin, Jennifer
Sammarco, Mimi C
author_facet Tower, Robert J
Busse, Emily
Jaramillo, Josue
Lacey, Michelle
Hoffseth, Kevin
Guntur, Anyonya R
Simkin, Jennifer
Sammarco, Mimi C
author_sort Tower, Robert J
collection PubMed
description De novo limb regeneration after amputation is restricted in mammals to the distal digit tip. Central to this regenerative process is the blastema, a heterogeneous population of lineage-restricted, dedifferentiated cells that ultimately orchestrates regeneration of the amputated bone and surrounding soft tissue. To investigate skeletal regeneration, we made use of spatial transcriptomics to characterize the transcriptional profile specifically within the blastema. Using this technique, we generated a gene signature with high specificity for the blastema in both our spatial data, as well as other previously published single-cell RNA-sequencing transcriptomic studies. To elucidate potential mechanisms distinguishing regenerative from non-regenerative healing, we applied spatial transcriptomics to an aging model. Consistent with other forms of repair, our digit amputation mouse model showed a significant impairment in regeneration in aged mice. Contrasting young and aged mice, spatial analysis revealed a metabolic shift in aged blastema associated with an increased bioenergetic requirement. This enhanced metabolic turnover was associated with increased hypoxia and angiogenic signaling, leading to excessive vascularization and altered regenerated bone architecture in aged mice. Administration of the metabolite oxaloacetate decreased the oxygen consumption rate of the aged blastema and increased WNT signaling, leading to enhanced in vivo bone regeneration. Thus, targeting cell metabolism may be a promising strategy to mitigate aging-induced declines in tissue regeneration.
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spelling pubmed-91354012022-05-27 Spatial transcriptomics reveals metabolic changes underly age-dependent declines in digit regeneration Tower, Robert J Busse, Emily Jaramillo, Josue Lacey, Michelle Hoffseth, Kevin Guntur, Anyonya R Simkin, Jennifer Sammarco, Mimi C eLife Cell Biology De novo limb regeneration after amputation is restricted in mammals to the distal digit tip. Central to this regenerative process is the blastema, a heterogeneous population of lineage-restricted, dedifferentiated cells that ultimately orchestrates regeneration of the amputated bone and surrounding soft tissue. To investigate skeletal regeneration, we made use of spatial transcriptomics to characterize the transcriptional profile specifically within the blastema. Using this technique, we generated a gene signature with high specificity for the blastema in both our spatial data, as well as other previously published single-cell RNA-sequencing transcriptomic studies. To elucidate potential mechanisms distinguishing regenerative from non-regenerative healing, we applied spatial transcriptomics to an aging model. Consistent with other forms of repair, our digit amputation mouse model showed a significant impairment in regeneration in aged mice. Contrasting young and aged mice, spatial analysis revealed a metabolic shift in aged blastema associated with an increased bioenergetic requirement. This enhanced metabolic turnover was associated with increased hypoxia and angiogenic signaling, leading to excessive vascularization and altered regenerated bone architecture in aged mice. Administration of the metabolite oxaloacetate decreased the oxygen consumption rate of the aged blastema and increased WNT signaling, leading to enhanced in vivo bone regeneration. Thus, targeting cell metabolism may be a promising strategy to mitigate aging-induced declines in tissue regeneration. eLife Sciences Publications, Ltd 2022-05-26 /pmc/articles/PMC9135401/ /pubmed/35616636 http://dx.doi.org/10.7554/eLife.71542 Text en © 2022, Tower et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Cell Biology
Tower, Robert J
Busse, Emily
Jaramillo, Josue
Lacey, Michelle
Hoffseth, Kevin
Guntur, Anyonya R
Simkin, Jennifer
Sammarco, Mimi C
Spatial transcriptomics reveals metabolic changes underly age-dependent declines in digit regeneration
title Spatial transcriptomics reveals metabolic changes underly age-dependent declines in digit regeneration
title_full Spatial transcriptomics reveals metabolic changes underly age-dependent declines in digit regeneration
title_fullStr Spatial transcriptomics reveals metabolic changes underly age-dependent declines in digit regeneration
title_full_unstemmed Spatial transcriptomics reveals metabolic changes underly age-dependent declines in digit regeneration
title_short Spatial transcriptomics reveals metabolic changes underly age-dependent declines in digit regeneration
title_sort spatial transcriptomics reveals metabolic changes underly age-dependent declines in digit regeneration
topic Cell Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135401/
https://www.ncbi.nlm.nih.gov/pubmed/35616636
http://dx.doi.org/10.7554/eLife.71542
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