GSE208154 – Complete Cell Atlas of Aging C. elegans
📄 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.
📊 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 matrixGSE208154_metadata.parquet: Cell metadata
📁 Files Included
GSE208154_expression_sparse.parquetGSE208154_metadata.parquet
📥 How to Load
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")
💡 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
🙏 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)