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Multi-omics integration in biomedical research - A metabolomics-centric review.

Publication ,  Journal Article
Wörheide, MA; Krumsiek, J; Kastenmüller, G; Arnold, M
Published in: Anal Chim Acta
January 2, 2021

Recent advances in high-throughput technologies have enabled the profiling of multiple layers of a biological system, including DNA sequence data (genomics), RNA expression levels (transcriptomics), and metabolite levels (metabolomics). This has led to the generation of vast amounts of biological data that can be integrated in so-called multi-omics studies to examine the complex molecular underpinnings of health and disease. Integrative analysis of such datasets is not straightforward and is particularly complicated by the high dimensionality and heterogeneity of the data and by the lack of universal analysis protocols. Previous reviews have discussed various strategies to address the challenges of data integration, elaborating on specific aspects, such as network inference or feature selection techniques. Thereby, the main focus has been on the integration of two omics layers in their relation to a phenotype of interest. In this review we provide an overview over a typical multi-omics workflow, focusing on integration methods that have the potential to combine metabolomics data with two or more omics. We discuss multiple integration concepts including data-driven, knowledge-based, simultaneous and step-wise approaches. We highlight the application of these methods in recent multi-omics studies, including large-scale integration efforts aiming at a global depiction of the complex relationships within and between different biological layers without focusing on a particular phenotype.

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Published In

Anal Chim Acta

DOI

EISSN

1873-4324

Publication Date

January 2, 2021

Volume

1141

Start / End Page

144 / 162

Location

Netherlands

Related Subject Headings

  • Phenotype
  • Metabolomics
  • Genomics
  • Computational Biology
  • Biomedical Research
  • Analytical Chemistry
  • 4018 Nanotechnology
  • 4004 Chemical engineering
  • 3401 Analytical chemistry
  • 0399 Other Chemical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
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Wörheide, M. A., Krumsiek, J., Kastenmüller, G., & Arnold, M. (2021). Multi-omics integration in biomedical research - A metabolomics-centric review. Anal Chim Acta, 1141, 144–162. https://doi.org/10.1016/j.aca.2020.10.038
Wörheide, Maria A., Jan Krumsiek, Gabi Kastenmüller, and Matthias Arnold. “Multi-omics integration in biomedical research - A metabolomics-centric review.Anal Chim Acta 1141 (January 2, 2021): 144–62. https://doi.org/10.1016/j.aca.2020.10.038.
Wörheide MA, Krumsiek J, Kastenmüller G, Arnold M. Multi-omics integration in biomedical research - A metabolomics-centric review. Anal Chim Acta. 2021 Jan 2;1141:144–62.
Wörheide, Maria A., et al. “Multi-omics integration in biomedical research - A metabolomics-centric review.Anal Chim Acta, vol. 1141, Jan. 2021, pp. 144–62. Pubmed, doi:10.1016/j.aca.2020.10.038.
Wörheide MA, Krumsiek J, Kastenmüller G, Arnold M. Multi-omics integration in biomedical research - A metabolomics-centric review. Anal Chim Acta. 2021 Jan 2;1141:144–162.
Journal cover image

Published In

Anal Chim Acta

DOI

EISSN

1873-4324

Publication Date

January 2, 2021

Volume

1141

Start / End Page

144 / 162

Location

Netherlands

Related Subject Headings

  • Phenotype
  • Metabolomics
  • Genomics
  • Computational Biology
  • Biomedical Research
  • Analytical Chemistry
  • 4018 Nanotechnology
  • 4004 Chemical engineering
  • 3401 Analytical chemistry
  • 0399 Other Chemical Sciences