Published 2026
| Version v1
Dataset
Open
Dynamic expression of CD9 protein in T-cell acute lymphoblastic leukemia : Bioinformatics resources and Docker environments
Authors/Creators
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1.
Centre de Recherche en Cancérologie de Marseille
-
2.
Assistance Publique Hôpitaux de Marseille
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3.
Centre National de la Recherche Scientifique
Description
This repository provides Docker containers designed to reproduce the analyses presented in Quessada, Nozais et al. (2026), along with selected intermediate files. Detailed instructions for reproducing the analysis are available on github (https://github.com/JulienRey1/CD9/). for bulkRNA, raw data (FASTQ files), as well as intermediate count tables for all samples, are available in GEO (GSE319183).
This Zenodo hosts the following resources :
- Docker images used for the analysis (seurat500.tar and rna_analysis.tar)
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Preprocessed single-cell RNA-seq data (sickphys_reg.Robj)
- Raw counts for single-cell RNA-seq (counts.txt)
- Normalized counts for single-cell RNA-seq (counts_norm.txt)
- Preprocessed bulk RNA-seq data (edgeR_fit.rds)
- Filtered and annotated bulkRNA-seq count data (data.filtered.rds)
- Flow cytometry data measuring CD9 expression in PDX #11 and PDX #65
Files
counts.txt
Files
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Additional details
Funding
- Alliance nationale pour les sciences de la vie et de la santé
- C19046S
- La Ligue Contre le Cancer
- Enfants Adolescents Cancer 2021
- Institut National du Cancer
- INCa_18772
- Fondation pour la Recherche Médicale
- FDT202304016752