| # 🧬 Single-Cell Transcriptomic Insights into Immune Aging in Human PBMCs | |
| This dataset was extracted from the supplementary tables of the publication: | |
| > **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 | |
| 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). | |
| 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 | |
| ### Python (with pandas) | |
| ```python | |
| import pandas as pd | |
| df = pd.read_parquet("Immune-Aging-transcriptomic .parquet") | |
| print(df.head()) | |
| ``` | |
| ### 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 | |
| - **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 | |
| If you use this dataset, please cite the original paper: | |
| > 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) | |
| --- | |
| ## 🙏 Acknowledgments | |
| - 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 | |
| Please refer to the license of the original publication. This conversion is provided for **non-commercial research purposes only**. | |