| # GSE208154 – Complete Cell Atlas of Aging C. elegans |
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|
| ## 📄 Description |
| This dataset provides a comprehensive single-cell RNA sequencing (scRNA-seq) profile of *C. elegans* across six adult time points. It is a highly curated developmental and aging atlas, useful for longevity, developmental biology, and transcriptomic studies. |
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|
| ## 📊 Dataset Summary |
| - **Species:** Caenorhabditis elegans |
| - **Type:** Single-cell RNA-seq (scRNA-seq) |
| - **Samples:** 11 GSM samples from GEO |
| - **Format:** |
| - `GSE208154_expression_sparse.parquet`: Sparse gene expression matrix |
| - `GSE208154_metadata.parquet`: Cell metadata |
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|
| ## 📁 Files Included |
| - `GSE208154_expression_sparse.parquet` |
| - `GSE208154_metadata.parquet` |
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|
| ## 📥 How to Load |
| ```python |
| import scipy.sparse |
| import pandas as pd |
| |
| # Load expression matrix |
| X = scipy.sparse.load_npz("GSE208154_expression_sparse.parquet") |
| |
| # Load metadata |
| metadata = pd.read_parquet("GSE208154_metadata.parquet") |
| ``` |
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|
| ## 💡 Use Cases |
| - Aging research in model organisms |
| - Cell type classification and developmental biology |
| - Benchmarking unsupervised and supervised learning on scRNA-seq data |
| - Pseudotime or trajectory inference studies |
|
|
| ## 📚 Citation |
| If you use this dataset, please cite: |
| > Lipinszki, Z., et al. (2022). A complete single-cell transcriptomic atlas of aging *C. elegans*. *Nature Aging*, DOI: [10.1038/s43587-022-00217-x](https://doi.org/10.1038/s43587-022-00217-x) |
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|
| ## 🙏 Acknowledgments |
| We thank Calico Life Sciences for generating and sharing this valuable resource and NCBI GEO for providing public access. |
|
|
| Curated and converted by Iris Lee-participant of the Longevity Hackathon 2025. ### 🧑💻 Team: MultiModalMillenials. Iris Lee (`@iris8090`) |
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