Development of a fixed module repertoire for the analysis and interpretation of blood transcriptome data. Academic Article uri icon

Overview

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/ .

authors

publication date

  • July 19, 2021

Research

keywords

  • Blood
  • Blood Chemical Analysis
  • Gene Expression Profiling
  • Transcriptome

Identity

PubMed Central ID

  • PMC8289976

Scopus Document Identifier

  • 85110882944

Digital Object Identifier (DOI)

  • 10.1093/bioinformatics/btw313

PubMed ID

  • 34282143

Additional Document Info

volume

  • 12

issue

  • 1