DEPIB
DEPIB analyzes bulk RNA sequencing (RNAseq) data using a Snakemake workflow to identify differentially expressed genes across experimental conditions for studies such as pesticide-induced senescence in human mesenchymal stem cells (MSCs) and temozolomide resistance in glioblastoma (GBM).
Key Features:
- Pipeline Automation: Implements a Snakemake workflow to automate reproducible RNAseq processing steps.
- Differential Expression Analysis: Identifies genes with significant changes in expression across experimental conditions or treatments.
- Bulk RNAseq Processing: Processes bulk RNA sequencing data to compare gene expression profiles between samples.
- Integration with Metabolic and Immune Markers: Integrates transcriptomic results with protein expression analyses of metabolic markers such as MDH1, GOT, and SIRT3 and with immune function assessments.
- Secretome Functional Analysis: Supports analysis of secretome effects on cellular properties, including immunomodulation.
- Longitudinal and Integrative Analyses: Facilitates longitudinal comparisons and integration of RNAseq with other analyses to detect tolerant-like cell populations and chromatin remodeling signatures.
Scientific Applications:
- Environmental Contaminant Impact on Cellular Aging: Analyzes effects of environmental contaminants, including low-dose exposure to a mixture of seven common pesticides, on MSC transcriptomes to identify oxidative stress–induced senescence, shifts toward adipogenesis, and deterioration of immunosuppressive properties compared with aged donor samples.
- Cancer Drug Resistance Mechanisms: Characterizes gene expression changes associated with temozolomide (TMZ) resistance in glioblastoma (GBM), enabling identification of tolerant-like cell populations, chromatin remodeling events, and potential therapeutic targets.
Methodology:
DEPIB uses a Snakemake workflow to process bulk RNAseq data for differential expression analysis and integrates transcriptomic results with protein-level metabolic marker analyses and functional secretome assessments.
Topics
Details
- Maturity:
- Emerging
- Cost:
- Free of charge
- Tool Type:
- workflow
- Programming Languages:
- R, Python
- Added:
- 9/24/2019
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
RNA-Seq quantification
Publications
Leveque X, Hochane M, Geraldo F, Dumont S, Gratas C, Oliver L, Gaignier C, Trichet V, Layrolle P, Heymann D, Herault O, Vallette FM, Olivier C. Low-Dose Pesticide Mixture Induces Accelerated Mesenchymal Stem Cell Aging In Vitro. Stem Cells. 2019;37(8):1083-1094. doi:10.1002/stem.3014. PMID:30977188. PMCID:PMC6850038.
Rabé M, Dumont S, Álvarez-Arenas A, Janati H, Belmonte-Beitia J, Calvo GF, Thibault-Carpentier C, Séry Q, Chauvin C, Joalland N, Briand F, Blandin S, Scotet E, Pecqueur C, Clairambault J, Oliver L, Perez-Garcia V, Nadaradjane A, Cartron P, Gratas C, Vallette FM. Identification of a transient state during the acquisition of temozolomide resistance in glioblastoma. Cell Death & Disease. 2020;11(1). doi:10.1038/s41419-019-2200-2. PMID:31907355. PMCID:PMC6944699.