Exosomal miR-302b rejuvenates aging mice by reversing the proliferative arrest of senescent cells
Description
This dataset contains supplementary Excel tables related to the manuscript "Exosomal miR-302b Rejuvenates Aging Mice by Reversing the Proliferative Arrest of Senescent Cells." The data includes detailed quantitative analyses that support the findings of the study, covering aspects such as gene expression, cytokine levels, cell cycle phases, and the effects of miR-302b treatment on senescent cells and aging tissues. The dataset comprises the following tables: Table S1: Bulk RNA-seq data from PDL50 IMR-90 cells treated with hESC-Exos. Table S2: Cell cycle phase proportions from single-cell RNA sequencing (scRNA-seq) of liver and skin tissues in aging mice. Table S3: Pseudotemporal analysis of senescent cells transitioning to rejuvenated states. Table S4: Cytokine profiling in serum samples of aging mice treated with or without hESC-Exos. Table S5: Annotation of cell types in scRNA-seq data of liver and skin. Table S6: Differentially expressed genes (DEGs) related to rejuvenation following hESC-Exos treatment. Table S7: Composition of cell ratios in different experimental groups. Table S8: Proportions of cells in various phases of the cell cycle. Table S9: Rescue cell cycle-related genes (CCGs) shared between liver and skin tissues. Table S10: Pseudotemporal analysis of mitotic cells in liver and skin tissues. Table S11: Results from Ago2 CLIP-Seq analysis identifying miR-302b target genes. Table S12: Absolute quantification of miR-302b abundance in different tissues. Table S13: Bulk RNA-seq data from multiple tissues comparing young, aging, and miR-302b-treated mice.
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Funding
High-level Talent Research Start-up Project Funding of Henan Academy of Sciences
232016003
Joint Fund of Henan Province Science and Technology R&D Program
225200810069
Postdocoral Fellowship Program of CPSF
GZB20230809
National Key Research and Development Project
2019YFA0110400
National Foundation of Sciences and Technology
31971051
National Foundation of Sciences and Technology
31771562