| # 🧬 GSE120180 – Single-Cell Transcriptomics of Aging Human Skin |
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| This dataset contains single-cell RNA-seq profiles from aging human skin, originally published as part of the GEO Series GSE120180. The dataset has been converted to `.parquet` format for faster I/O and compatibility with machine learning pipelines. |
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| ## 📂 Dataset Overview |
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| - **Original Source:** [GEO: GSE120180](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE120180) |
| - **Species:** Homo sapiens |
| - **Tissue:** Human skin |
| - **Technique:** 10x Genomics scRNA-seq |
| - **Format:** `.parquet` (converted from original `.txt.gz`) |
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| Each `.parquet` file contains gene expression matrices with: |
| - **Rows:** Gene identifiers (ENSEMBL or gene symbols) |
| - **Columns:** Cell barcodes |
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| ## 🔬 Use Cases |
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| - Build or validate **skin-specific aging clocks** |
| - Study **age-related changes** in gene expression at single-cell resolution |
| - Explore **cell-type-specific aging signatures** in skin |
| - Benchmark **de-noising** or **imputation models** for sparse single-cell data |
| - Integrate with multi-tissue atlases or **multi-omics** aging datasets |
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| ## 🛠️ Usage Instructions |
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| ```python |
| import pandas as pd |
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| # Load one of the files |
| df = pd.read_parquet("GSM#####_expression.parquet") |
| print(df.shape) |
| df.head() |
| ``` |
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| ## 📑 Citation |
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| If you use this dataset, please cite: |
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| > Solé-Boldo, L. et al. (2020). **Single-cell transcriptomes of the human skin reveal age-related loss of fibroblast priming**. *Cell Stem Cell*, 27(3), 387–402.e7. |
| > DOI: [10.1016/j.stem.2020.07.009](https://doi.org/10.1016/j.stem.2020.07.009) |
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| ## 🙏 Acknowledgments |
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| - Original data generated by **Solé-Boldo et al.** and hosted on **GEO** under accession [GSE120180](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE120180) |
| - Converted and curated by **Iris Lee** for use in aging and longevity research. ### 🧑💻 Team: MultiModalMillenials. Iris Lee (`@iris8090`) |
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| ## 🧠 Keywords |
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| `single-cell`, `scRNA-seq`, `aging`, `skin`, `GSE120180`, `longevity`, `parquet`, `machine learning`, `biomarkers` |
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