ArticleNature communications2021
Development of a fixed module repertoire for the analysis and interpretation of blood transcriptome data.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
- A randomized, observer-blind, phase 1 study of immune responses to three human adenovirus type 26 vector-based vaccines.EBioMedicine · 2026Trial
- Type I interferon blockade with anifrolumab in patients with systemic lupus erythematosus modulates key immunopathological pathways in a gene expression and proteomic analysis of two phase 3 trials.Annals of the rheumatic diseases · 2024Trial
- An interactive web application for exploring systemic lupus erythematosus blood transcriptomic diversity.Database : the journal of biological databases and curation · 2024Trial
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- Identification of core differentially expressed genes for respiratory syncytial virus infection.Global medical genetics · 2026Article
- Inflammatory biomarkers of asymptomatic and symptomatic tuberculosis.Nature communications · 2026Article
- scImmuneCo: a compendium of cell-type-specific functional modules for decoding immune responses from single-cell RNA-seq data.Briefings in bioinformatics · 2026Article
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- The Rayleigh Quotient and Contrastive Principal Component Analysis II.bioRxiv : the preprint server for biology · 2026Article
- A systems immunology approach reveals divergent immune profiles of RSV and SARS-CoV-2 infections in infants.Science translational medicine · 2026Article
- Dose-dependent IFN programs in myeloid cells after mRNA and adenovirus COVID-19 vaccination.JCI insight · 2026Article
- Self-collected finger-prick blood for gene expression profiling: Unveiling early immune responses in mild COVID-19.iScience · 2026Article
- Identification of potential characteristic genes in sepsis utilizing RNA sequencing and gene silence.BMC immunology · 2025Article
- Multi-omic analysis identifies biological processes underlying progressive interstitial lung disease in systemic sclerosis.The FEBS journal · 2025Article
- Inflammatory Biomarkers of Asymptomatic and Symptomatic Tuberculosis.bioRxiv : the preprint server for biology · 2025Article
- A Flexible and Responsive Remote Study Design to Assess Gene Expression Changes During Wildfire Smoke Exposure with homeRNA, an At-home Blood Sampling Kit.medRxiv : the preprint server for health sciences · 2025Article
- Automating candidate gene prioritization with large language models: from naive scoring to literature-grounded validation.Bioinformatics (Oxford, England) · 2025Article
- SomaModules: A Pathway Enrichment Approach Tailored to SomaScan Data.Journal of proteome research · 2025Article
- RISE: Two-Stage Rank-Based Identification of High-Dimensional Surrogate Markers Applied to Vaccinology.Statistics in medicine · 2025Article
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33 authors.
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Abstract
As the capacity for generating large-scale molecular profiling data continues to grow, the ability to extract meaningful biological knowledge from it remains a limitation. Here, we describe the development of a new fixed repertoire of transcriptional modules, BloodGen3, that is designed to serve as a stable reusable framework for the analysis and interpretation of blood transcriptome data. The construction of this repertoire is based on co-clustering patterns observed across sixteen immunological and physiological states encompassing 985 blood transcriptome profiles. Interpretation is supported by customized resources, including module-level analysis workflows, fingerprint grid plot visualizations, interactive web applications and an extensive annotation framework comprising functional profiling reports and reference transcriptional profiles. Taken together, this well-characterized and well-supported transcriptional module repertoire can be employed for the interpretation and benchmarking of blood transcriptome profiles within and across patient cohorts. Blood transcriptome fingerprints for the 16 reference cohorts can be accessed interactively via: https://drinchai.shinyapps.io/BloodGen3Module/ .
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