Academic Journal
Large-scale analysis of temporal gene expression variation in peripheral blood
| Τίτλος: | Large-scale analysis of temporal gene expression variation in peripheral blood |
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| Συγγραφείς: | Mishra, Neha, Kimmig, Franziska, Vandeputte, Doris, Talevi, Valentina, De Commer, Lindsey, Verspecht, Chloe, Vich Vila, Arnau, El-Sayed Moustafa, Julia S, Kreft, Lukasz, Botzki, Alexander, El Darzi, Youssef, Proost, Sebastian, Devolder, Lindsay, Wang, Dongmeng, Bernardes, Joana P, Aziz, N Ahmad, Franke, Andre, Schreiber, Stefan, Dermitzakis, Emmanouil T, Vieira-Silva, Sara, Falony, Gwen, Small, Kerrin S, Breteler, Monique M B, Schultze, Joachim L, Raes, Jeroen, Rosenstiel, Philip, Andersen, Vibeke |
| Πηγή: | Mishra, N, Kimmig, F, Vandeputte, D, Talevi, V, De Commer, L, Verspecht, C, Vich Vila, A, El-Sayed Moustafa, J S, Kreft, L, Botzki, A, El Darzi, Y, Proost, S, Devolder, L, Wang, D, Bernardes, J P, Aziz, N A, Franke, A, Schreiber, S, Dermitzakis, E T, Vieira-Silva, S, Falony, G, Small, K S, Breteler, M M B, Schultze, J L, Raes, J, Rosenstiel, P, SYSCID Consortium & Andersen, V 2026, 'Large-scale analysis of temporal gene expression variation in peripheral blood', Nature Communications, vol. 17, 6992 . https://doi.org/10.1038/s41467-026-73218-6 |
| Έτος έκδοσης: | 2026 |
| Συλλογή: | University of Southern Denmark: Research Output / Syddansk Universitet |
| Θεματικοί όροι: | Humans, Female, Gene Expression Profiling/methods, Male, Transcriptome/genetics, Twins, Monozygotic/genetics, Cross-Sectional Studies, Dizygotic/genetics, Gene Expression Regulation, Adult, Genetic Variation |
| Περιγραφή: | Transcriptomic profiling of peripheral blood offers a promising, non-invasive approach for disease diagnosis and monitoring. However, its clinical translation is hindered by limited knowledge of the natural temporal variation. Here, we present a comprehensive reference map of longitudinal transcriptomic variability, based on RNA-sequencing of 333 healthy individuals sampled at three time points over six months. We find that 85% of genes and 99% of transcripts exhibit greater intra-individual than inter-individual variation, primarily driven by dynamic regulation of housekeeping pathways. In contrast, immune-related transcripts -particularly those linked to T and B cell activity- are strikingly stable over time. Gene expression levels drive inter-individual differences, while splicing variation contributes more to intra-individual fluctuation. In an independent twin cohort (148 monozygotic, 166 dizygotic), genes with high inter-individual variability show greater heritability, suggesting genetic control of steady-state expression. By integrating extensive clinical and environmental data, we trace temporal expression changes to genetic, compositional, and external factors, and identify robust seasonal and sex-specific signatures. These findings were validated in a third, cross-sectional cohort of 3,480 individuals. The observed temporal variation patterns have important implications for cohort-based transcriptomic analyses, as they may limit discovery and reproducibility of expression quantitative trait loci and increase the risk of spurious associations in cross-sectional studies. This resource provides a critical baseline for distinguishing disease-associated transcriptomic changes from normal physiological variation, advancing the reliability of blood-based biomarkers in clinical practice. |
| Τύπος εγγράφου: | article in journal/newspaper |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| ISSN: | 2041-1723 |
| Relation: | info:eu-repo/semantics/altIdentifier/pmid/42215465; info:eu-repo/semantics/altIdentifier/pissn/2041-1723; info:eu-repo/semantics/altIdentifier/eissn/2041-1723 |
| DOI: | 10.1038/s41467-026-73218-6 |
| Διαθεσιμότητα: | https://portal.findresearcher.sdu.dk/da/publications/3a3b9ab5-a59d-4765-bcaf-3ea0cc78dc00 https://doi.org/10.1038/s41467-026-73218-6 https://findresearcher.sdu.dk/ws/files/315407444/s41467-026-73218-6.pdf |
| Rights: | info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/ |
| Αριθμός Καταχώρησης: | edsbas.F161FAED |
| Βάση Δεδομένων: | BASE |
| ISSN: | 20411723 |
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| DOI: | 10.1038/s41467-026-73218-6 |