Evidence map›Paper›PMID 40335328›Full record

ArticleTrends in genetics : TIG2025

Moving towards sequencing-based metabolomics.

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

Abstract readEditorial
PubMed Full text at PMC Publisher
In one paragraph

Article in Trends in genetics : TIG, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alia Clark-ElSayedDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA.
Andrew D EllingtonDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA.
Edward M MarcotteDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA. Electronic address: marcotte@utexas.edu.

Funding

Proteomics and model organism humanization to decode human geneticsR35GM122480 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI EDWARD M MARCOTTE · 2017 to 2026
$5.4M
Directed evolution of broadly fungible biosensorsR01GM146093 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Andrew D Ellington · 2023 to 2026
$1.3M
Problem-to-Product Team Entrepreneurship and Active Mentoring (P2P-TEAM) Graduate Training ProgramT32GM139796 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BRODBELT, JENNIFER S. · 2021 to 2025
$781k
NIGMS NIH HHS R01 GM146093NIGMS NIH HHS R35 GM122480NIGMS NIH HHS T32 GM139796
6 · The paper itself

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.

Indexed as

High-Throughput Nucleotide SequencingMetabolomeMetabolomicsSequence Analysis, DNAAptamers, NucleotideHumansAptamers, NucleotideaptamersDNA sequencinghigh-throughput metabolomics

Identifiers

PMID40335328
PMCPMC12237595

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.