Moving towards sequencing-based metabolomics

Alia Clark-ElSayed; Andrew D Ellington; Edward M Marcotte

doi:10.1016/j.tig.2025.04.006

Moving towards sequencing-based metabolomics

Trends Genet. 2025 Jul;41(7):554-555. doi: 10.1016/j.tig.2025.04.006. Epub 2025 May 6.

Authors

Alia Clark-ElSayed¹, Andrew D Ellington¹, Edward M Marcotte²

Affiliations

¹ Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA.
² Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA. Electronic address: marcotte@utexas.edu.

PMID: 40335328
PMCID: PMC12237595 (available on 2026-05-06)
DOI: 10.1016/j.tig.2025.04.006

Abstract

Metabolites are chemically heterogeneous and difficult to quantify in easily read formats. Recently, Tan and Fraser demonstrated that metabolites can be readily quantified by pairing aptamer function with DNA sequencing. This reflects a larger trend of sequencing for assessing biomolecule abundances, further leading to sequencing being a universal analytical tool.

Keywords: DNA sequencing; aptamers; high-throughput metabolomics.

Publication types

Editorial

MeSH terms

Aptamers, Nucleotide / genetics
High-Throughput Nucleotide Sequencing* / methods
Humans
Metabolome* / genetics
Metabolomics* / methods
Metabolomics* / trends
Sequence Analysis, DNA* / methods

Substances

Aptamers, Nucleotide

Abstract

Publication types

MeSH terms

Substances

Grants and funding