TRanscriptome ANalysis of StratifiEd CohorTs (TRANSECT) enables automated assessment of global gene regulation linked to disparate expression in user defined genes and gene sets
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Date
2025
Authors
Toubia, J.
Kusay, Y.
Maqsood, M.
Warnock, N.I.
Lawrence, D.M.
Bracken, C.P.
Gregory, P.A.
Kan, W.L.
Selth, L.A.
Conn, S.J.
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Journal article
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NAR Genomics and Bioinformatics, 2025; 7(2):lqaf041-1-lqaf041-13
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John Toubia, Yasir Kusay, Muneeza Maqsood, Nicholas I. Warnock, David M. Lawrence, Cameron P. Bracken, Philip A. Gregory, Winnie L. Kan, Luke A. Selth, Simon J. Conn, Angel F. Lopez, Susan Branford, Hamish S. Scott, Chung Hoow Kok, Gregory J . Goodall, Andreas W. Schreiber
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Abstract
Publicly accessible expression data produced by large consortium projects like TCGA and GTEx are increasing in number and size at an unprecedented rate. Their utility cannot be underestimated given the diversity of valuable tools widely used to interrogate these data and the many discoveries of biological and clinical significance already garnered from these datasets. However, there remain undiscovered ways to mine these rich resources and a continuing need to provide researchers with easily accessible and user-friendly applications for complex or bespoke analyses. We introduce TRanscriptome ANalysis of StratifiEd CohorTs (TRANSECT), a bioinformatics application automating the stratification and subsequent differential expression analysis of cohort data to provide further insights into gene regulation. TRANSECT works by defining two groups within a cohort based on disparate expression of a gene or a gene set and subsequently compares the groups for differences in global expression. Akin to reverse genetics minus the inherent requirement of <i>in vitro</i> or <i>in vivo</i> perturbations, cell lines or model organisms and all the while working within natural physiological limits of expression, TRANSECT compiles information about global transcriptomic change and functional outcomes. TRANSECT is freely available as a command line application or online at https://transect.au.
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Data source: Supplementary data, https://academic.oup.com/nargab/article-lookup/doi/10.1093/nargab/lqaf041#supplementary-data
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© The Author(s) 2025. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.