GTEx pro enables accurate multi-tissue gene expression analysis using robust normalization and batch correction

The Genotype-Tissue Expression (GTEx) project provides a valuable resource for investigating gene regulation across various human tissues. However, its cross-sectional design introduces technical artifacts and batch effects related to donor demographics and tissue processing. These confounders obscure biological signals and distort multi-tissue analyses. We present GTEx_Pro, a Nextflow-based pipeline for preprocessing GTEx v8 transcriptomic data, enhancing multi-tissue comparability. It integrates TMM + CPM normalization and SVA batch effect correction to improve biological signal recovery while reducing systematic variations across 54 GTEx tissues. Designed for scalability and reproducibility, GTEx_Pro facilitates accurate multi-tissue transcriptomic analysis, and a similar framework can be adapted to other large-scale transcriptome datasets.

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Publication Details

Journal
Scientific Reports
Published
2025-09-23
DOI
https://doi.org/10.1038/s41598-025-20697-0
Citations
1
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
0.81

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article

GTEx pro enables accurate multi-tissue gene expression analysis using robust normalization and batch correction

D. Jothi
1 citations
Scientific Reports
Gene expression and cancer classification
0.81
article

GTEx pro enables accurate multi-tissue gene expression analysis using robust normalization and batch correction

D. Jothi
article en
1 citations

Abstract

The Genotype-Tissue Expression (GTEx) project provides a valuable resource for investigating gene regulation across various human tissues. However, its cross-sectional design introduces technical artifacts and batch effects related to donor demographics and tissue processing. These confounders obscure biological signals and distort multi-tissue analyses. We present GTEx_Pro, a Nextflow-based pipeline for preprocessing GTEx v8 transcriptomic data, enhancing multi-tissue comparability. It integrates TMM + CPM normalization and SVA batch effect correction to improve biological signal recovery while reducing systematic variations across 54 GTEx tissues. Designed for scalability and reproducibility, GTEx_Pro facilitates accurate multi-tissue transcriptomic analysis, and a similar framework can be adapted to other large-scale transcriptome datasets.

Scientific ReportsVol. 15(1)
Friedrich Schiller University Jena (DE)
Friedrich-Schiller-Universität Jena
Openalex Percentile: Top 23%
Gene expression and cancer classification
0.81
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GTEx pro enables accurate multi-tissue gene expression analysis using robust normalization and batch correction — D. Jothi · Scientific Reports (2025) | TGRS Research Map | TGRS