Author

Xiaojing Chu

University Medical Center GroningenORCID 0000-0002-9882-2912Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genomics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Research Focus:cell type annotation· 1 Research Focus:deconvolution· 1 Assay:multiome· 1

Frequent Co-Authors

Cheng‐Jian XuiD· 2 shared Leo A. B. JoosteniD· 2 shared Mihai Gheorghe NeteaiD· 2 shared Yang LiiD· 2 shared Aline de NooijeriD· 1 shared Annique ClaringbouldiD· 1 shared Bowen ZhangiD· 1 shared Bowen ZhangiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Cheng‐Jian XuORCID

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3 papers

Recent·Most cited

Integration of single-cell transcriptome and genetic profiles reveals critical cell types and genes in inflammatory bowel disease

Xiaojing Chu, Siyu Wang, Jiacong Wei, Haosheng Liu, Pengcheng Yan, Qiuli Yang, Yu Tang, Bowen Zhang, Erli Pang

This study integrates single-cell transcriptomic data with genetic profiles to identify critical cell types and genes in inflammatory bowel disease.

bioRxiv · Dec 16, 2025 · PreprintImmunology

The genetic risk for COVID-19 severity is associated with defective innate immune responses

Yunus Kuijpers, Xiaojing Chu, Martin Jaeger, Simone J.C.F.M. Moorlag, Valerie A. C. M. Koeken, Bowen Zhang, Aline de Nooijer, Inge Grondman, Manoj Kumar Gupta, Nico A. F. Janssen, Vera P. Mourits, L. Charlotte J. de Bree, Quirijn de Mast, Frank L. van de Veerdonk, Leo A. B. Joosten, , Cheng‐Jian Xu

This study explores the physiological significance of genetic variants associated with COVID-19 severity using clinical, immunological, and multi-omics data from large cohorts, identifying pathways for prevention and therapy.

Frontiers in Immunology · May 12, 2022Peer-reviewedGenetic & Genomic Medicine

Deconvolution of bulk blood eQTL effects into immune cell subpopulations

Raúl Aguirre‐Gamboa, Niek de Klein, Jennifer Di Tommaso, Annique Claringbould, Monique G.P. van der Wijst, Dylan H. de Vries, Harm Brugge, Roy Oelen, Urmo Võsa, Maria Magdalena Zorro, Xiaojing Chu, Olivier B. Bakker, Zuzanna Borek, Isis Ricaño-Ponce, Patrick Deelen, , Yang Li

The paper introduces Decon2, a method to deconvolute bulk blood eQTL effects into immune cell subpopulations, showing high concordance with experimental and single-cell studies.

BMC Bioinformatics · Jun 12, 2020Peer-reviewedGenomics