Revealing complex function, process and pathway interactions with high-throughput expression and biological annotation data

Nitesh Kumar Singh, Mathias Ernst, Volkmar Liebscher, Georg Fuellen, Leila Taher

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The biological relationships both between and within the functions, processes and pathways that operate within complex biological systems are only poorly characterized, making the interpretation of large scale gene expression datasets extremely challenging. Here, we present an approach that integrates gene expression and biological annotation data to identify and describe the interactions between biological functions, processes and pathways that govern a phenotype of interest. The product is a global, interconnected network, not of genes but of functions, processes and pathways, that represents the biological relationships within the system. We validated our approach on two high-throughput expression datasets describing organismal and organ development. Our findings are well supported by the available literature, confirming that developmental processes and apoptosis play key roles in cell differentiation. Furthermore, our results suggest that processes related to pluripotency and lineage commitment, which are known to be critical for development, interact mainly indirectly, through genes implicated in more general biological processes. Moreover, we provide evidence that supports the relevance of cell spatial organization in the developing liver for proper liver function. Our strategy can be viewed as an abstraction that is useful to interpret high-throughput data and devise further experiments.

Original languageEnglish
Pages (from-to)3196-208
Number of pages13
JournalMolecular BioSystems
Volume12
Issue number10
DOIs
Publication statusPublished - 20 Oct 2016

Fingerprint

Biological Phenomena
Gene Expression
Gene Regulatory Networks
Liver
Cell Differentiation
Apoptosis
Phenotype
Genes
Data Curation
Datasets

Keywords

  • Animals
  • Cell Differentiation/genetics
  • Cluster Analysis
  • Computational Biology/methods
  • Embryonic Development/genetics
  • Gene Expression Profiling/methods
  • Gene Expression Regulation
  • Gene Expression Regulation, Developmental
  • Gene Regulatory Networks
  • Humans
  • Mice
  • Molecular Sequence Annotation
  • Organogenesis/genetics
  • Regeneration/genetics
  • Signal Transduction

Cite this

Revealing complex function, process and pathway interactions with high-throughput expression and biological annotation data. / Singh, Nitesh Kumar; Ernst, Mathias; Liebscher, Volkmar; Fuellen, Georg; Taher, Leila.

In: Molecular BioSystems, Vol. 12, No. 10, 20.10.2016, p. 3196-208.

Research output: Contribution to journalArticleResearchpeer-review

Singh, Nitesh Kumar ; Ernst, Mathias ; Liebscher, Volkmar ; Fuellen, Georg ; Taher, Leila. / Revealing complex function, process and pathway interactions with high-throughput expression and biological annotation data. In: Molecular BioSystems. 2016 ; Vol. 12, No. 10. pp. 3196-208.
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