Výsledky vyhledávání - "Martijn, Vochteloo"

Akademický článek

PICALO: principal interaction component analysis for the identification of discrete technical, cell-type, and environmental factors that mediate eQTLs

Autor: Martijn Vochteloo, Patrick Deelen, Britt Vink, BIOS Consortium, Ellen A. Tsai, Heiko Runz, Sergio Andreu-Sánchez, Jingyuan Fu, Alexandra Zhernakova, Harm-Jan Westra, Lude Franke

Publikováno v: Genome Biology, Vol 25, Iss 1, Pp 1-26 (2024)

Abstract Expression quantitative trait loci (eQTL) offer insights into the regulatory mechanisms of trait-associated variants, but their effects often rely on contexts that are unknown or unmeasured. We introduce PICALO, a method for hidden variable

Externí odkaz: https://doaj.org/article/1bb030c23f7a471a97ee8771da5fe1e3

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Akademický článek

Single-cell RNA-sequencing of peripheral blood mononuclear cells reveals widespread, context-specific gene expression regulation upon pathogenic exposure

Autor: Roy Oelen, Dylan H. de Vries, Harm Brugge, M. Grace Gordon, Martijn Vochteloo, single-cell eQTLGen consortium, BIOS Consortium, Chun J. Ye, Harm-Jan Westra, Lude Franke, Monique G. P. van der Wijst

Publikováno v: Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)

Not just differential gene expression but also differential gene regulation in immune cells account for individual differences in the immune response. Authors show here by single-cell RNA-sequencing of peripheral blood mononuclear cells from a large

Externí odkaz: https://doaj.org/article/a0900e4955844d238d355bfc06a2a975

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Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases

Publikováno v: Nature genetics, 55(3), 377-388. Nature Publishing Group

Identification of therapeutic targets from genome-wide association studies (GWAS) requires insights into downstream functional consequences. We harmonized 8,613 RNA-sequencing samples from 14 brain datasets to create the MetaBrain resource and perfor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7779b7c71862713df39ea90405e70012
https://hdl.handle.net/11370/aff8978c-1045-4edf-ab76-eafb7c31c855

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Unbiased identification of unknown cellular and environmental factors that mediate eQTLs using principal interaction component analysis

Autor: Jingyuan Fu, Lude Franke, Martijn Vochteloo, Heiko Runz, Sergio Andreu-Sánchez, Patrick Deelen

Expression quantitative trait loci (eQTL) can reveal the regulatory mechanisms of trait associated variants. eQTLs are highly cell-type and context-specific, but often these contexts are unknown or not measured. Here, we introduce PICALO (Principal I

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a78b2f238e39ba76b20d724f4f92c8e3
https://doi.org/10.1101/2022.07.28.501849

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Single-cell RNA-sequencing of peripheral blood mononuclear cells reveals widespread, context-specific gene expression regulation upon pathogenic exposure

Autor: Roy, Oelen, Dylan H, de Vries, Harm, Brugge, M Grace, Gordon, Martijn, Vochteloo, Chun J, Ye, Harm-Jan, Westra, Lude, Franke, Monique G P, van der Wijst

Publikováno v: Nature communications. 13(1)

The host's gene expression and gene regulatory response to pathogen exposure can be influenced by a combination of the host's genetic background, the type of and exposure time to pathogens. Here we provide a detailed dissection of this using single-c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::81a4355a6281e4e9f9c7207bea4dbdbf
https://pubmed.ncbi.nlm.nih.gov/35672358

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Brain expression quantitative trait locus and network analysis reveals downstream effects and putative drivers for brain-related diseases

Gaining insight into the downstream consequences of non-coding variants is an essential step towards the identification of therapeutic targets from genome-wide association study (GWAS) findings. Here we have harmonized and integrated 8,727 RNA-seq sa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::748185a114acd76817c0a256d04d3b02
https://doi.org/10.1101/2021.03.01.433439

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