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. 2023 Mar 9;26(4):106368. doi: 10.1016/j.isci.2023.106368
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Deposited data

Single-cell RNAseq datasets of 12 tissues from the Tabula muris senis. Male mice aged 3 and 24 months. Organs: bladder, brain, brain myeloid, heart, kidney, liver, lung, muscle, pancreas, skin, spleen and thymus. Almanzar et al. (2020)20 https://doi.org/10.6084/m9.figshare.12654728.v1
Single-cell RNAseq datasets of 12 tissues from Tabula muris senis. Female mice aged 3 and 18 months. Organs: muscle, brain, brain myeloid, heart, heart, thymus, skin, pancreas, mammary gland, spleen and kidney. Almanzar et al. (2020)20 https://doi.org/10.6084/m9.figshare.12654728.v1
Single-cell RNAseq datasets of heart and aorta from the Tabula muris senis. Male and female mice aged 3, 18, 21 and 24 months. Almanzar et al. (2020)20 https://doi.org/10.6084/m9.figshare.12654728.v1
Single-cell RNAseq dtaaset of the murine aging lung. Angelidis et al. (2019)21 GEO: GSE124872
Single-cell RNAseq datasets of the murine lung, spleen and kidney. Kimmel et al. (2019)22 GEO: GSE132901
Single-cell RNAseq dataset of the murine aging brain. Ximerakis et al. (2019)23 GEO: GSE129788
Single-cell RNAseq dataset of murine aging dermal fibroblasts. Salzer et al. (2018)24 GEO: GSE111136
Single-cell RNAseq dataset of human lungs (Human lung cell atlas). Travaglini et al. (2020)27 Synapse: syn21041850
Single-cell RNAseq dataset of lung cells from young (21, 22, 32, 35 and 41 years old) and old (64, 65, 76 and 88 years old) male and female healthy donors. Raredon et al. (2019)28 GEO: GSE133747
Single-cell RNAseq dataset of human pancreatic cells from 21-22 and 44–54 years old male and female healthy donors. Enge et al. (2017)25 GEO: GSE81547
Single-cell RNAseq dataset of human whole-skin from donors aged 25–27 (young) and 53–70 years (old). Solé-Boldo et al., (2020)26 GEO: GSE130973
Single-cell RNAseq dataset of murine skin upon UV radiation treatment with and without vitamin D treatment, and control. Lin et al. (2022)33 GEO: GSE173385
Single-cell RNAseq datasets of human airway cells from heavy smokers and never-smokers. Goldfarbmuren et al. (2020)35 GEO: GSE134174, samples T101, T120, T154, T167, T85, T164, T165, T166.
Single-cell RNAseq dataset of murine kidney cells from WT, Adh5 KO (aldehyde clearance deficient), Csb KO (impaired TC-NER) or a double KO after methanol treatment. Mulderrig et al. (2020)38 GEO: GSE175792
RNAseq dataset of human Cockayne Syndrome (CS) and gene corrected (GC)-MSCs upon UV treatment and in normal conditions. Wang et al. (2020)31 GEO: GSE124208; samples GSM3525718, GSM3525717, GSM3525714, GSM3525715, GSM3525719, GSM3525716, GSM3525713 and GSM3525720
List of DEGs between a cancer-free PS-TTD patient carrying a mutated ERCC2 gene and her healthy mother in basal conditions and upon UV-radiation. Lombardi et al. (2021)39 supplemental information (https://doi.org/10.1073/pnas.2024502118)
List of Global Aging Genes (GAGs). Zhang et al. (2021)9 https://github.com/czbiohub/tabula-muris-senis/tree/master/2_aging_signature

Software and algorithms

Jupyter Notebooks and R scripts to reproduce the analyses described in the article. Gitlab https://gitlab.com/olgaibanez/transcription_stress
Jupyter Notebooks to reproduce the analyses described in the article. Figshare https://doi.org/10.6084/m9.figshare.22140515.v1