| # 🧬 Single-Cell Transcriptomic Insights into Immune Aging in Human PBMCs |
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| This dataset was extracted from the supplementary tables of the publication: |
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| > **Title**: Single-cell transcriptomic landscape of human immune aging |
| > **Journal**: Cell Research (Nature Publishing Group), 2021 |
| > **DOI**: [10.1038/s41422-020-00412-6](https://doi.org/10.1038/s41422-020-00412-6) |
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| ## 📂 Dataset Description |
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| The data was extracted using OCR techniques from PDF tables and saved in `.parquet` format for easy use in data science pipelines. Each row typically represents a gene, cell type, or age group comparison across various immune cell subtypes derived from peripheral blood mononuclear cells (PBMCs). |
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| Format: |
| - **File**: `Immune-Aging-transcriptomic .parquet` |
| - **Type**: Tabular dataset |
| - **Structure**: Varies per table; gene names, expression levels, p-values, fold changes, and metadata columns may be present. |
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| ## 🔧 Usage Instructions |
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| ### Python (with pandas) |
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| ```python |
| import pandas as pd |
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| df = pd.read_parquet("Immune-Aging-transcriptomic .parquet") |
| print(df.head()) |
| ``` |
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| ### Use in ML pipelines |
| - Input for aging clock models |
| - Feature matrix construction for immune cell classification |
| - Differential gene expression analysis |
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| ## 💡 Use Cases |
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| - **Aging Biomarker Discovery**: Identify aging-related genes in immune cells. |
| - **Comparative Aging Studies**: Use alongside other datasets like Tabula Muris Senis or sc-ImmuAging. |
| - **Model Benchmarking**: Evaluate immune aging clocks using preprocessed features. |
| - **Longevity Research**: Investigate immune signatures linked to lifespan and healthspan. |
| - **Multi-omics Integration**: Combine with telomere, methylation, or proteomic datasets. |
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| ## 📚 Citation |
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| If you use this dataset, please cite the original paper: |
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| > Yang, J., Zheng, Y., Gou, X. et al. Single-cell transcriptomic landscape of human immune aging. *Cell Research* **31**, 1004–1022 (2021). |
| > [DOI:10.1038/s41422-020-00412-6](https://doi.org/10.1038/s41422-020-00412-6) |
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| ## 🙏 Acknowledgments |
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| - Dataset extracted and converted to `.parquet` by **Iris Lee** for use in longevity and immune aging hackathons. ### 🧑💻 Team: MultiModalMillenials. Iris Lee (`@iris8090`) |
| - Original research by Yang et al., published in *Cell Research*, provided foundational insights into immune aging. |
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| ## 📁 License |
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| Please refer to the license of the original publication. This conversion is provided for **non-commercial research purposes only**. |
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