BloodGen3

BloodGen3 provides a fixed repertoire of transcriptional modules for the analysis and interpretation of blood transcriptome profiles to enable consistent module-level analysis and fingerprint visualization across diverse immunological and physiological states.


Key Features:

  • Fixed Repertoire of Transcriptional Modules: Modules were defined from co-clustering patterns identified across 985 blood transcriptome profiles derived from sixteen distinct immunological and physiological states.
  • Module-level Analysis Workflows: Module-level analysis workflows support exploration of transcriptional changes at the module level within specific biological contexts.
  • Fingerprint Grid Plot Visualizations: Fingerprint grid plot visualizations enable generation and interpretation of blood transcriptome fingerprints.
  • Extensive Annotation Framework: Includes functional profiling reports and reference transcriptional profiles for module contextualization.

Scientific Applications:

  • Interpretation and Benchmarking: Provides a framework for interpreting and benchmarking blood transcriptome datasets across studies.
  • Comparative Cohort Analysis: Enables comparative analyses across patient cohorts to assess transcriptional differences among immunological and physiological states.
  • Biomarker Discovery and Immunology Research: Facilitates identification of biomarkers associated with immunological and physiological states and supports immunology and clinical research applications.

Methodology:

Modules were derived by integrating co-clustering patterns identified across 985 blood transcriptome profiles from sixteen immunological and physiological states.

Topics

Details

License:
GPL-2.0
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
11/19/2021
Last Updated:
11/19/2021

Operations

Publications

Altman MC, Rinchai D, Baldwin N, Toufiq M, Whalen E, Garand M, Syed Ahamed Kabeer B, Alfaki M, Presnell SR, Khaenam P, Ayllón-Benítez A, Mougin F, Thébault P, Chiche L, Jourde-Chiche N, Phillips JT, Klintmalm G, O’Garra A, Berry M, Bloom C, Wilkinson RJ, Graham CM, Lipman M, Lertmemongkolchai G, Bedognetti D, Thiebaut R, Kheradmand F, Mejias A, Ramilo O, Palucka K, Pascual V, Banchereau J, Chaussabel D. Development of a fixed module repertoire for the analysis and interpretation of blood transcriptome data. Nature Communications. 2021;12(1). doi:10.1038/s41467-021-24584-w. PMID:34282143. PMCID:PMC8289976.

PMID: 34282143
PMCID: PMC8289976
Funding: - Wellcome Trust: 104803, 203135 - U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases: U01AI082110, U01AI115940