Evidence map›Paper›PMID 39427262›Full record

ArticleAnalytical chemistry2024

COLMAR1d: A Web Server for Automated, Quantitative One-Dimensional Nuclear Magnetic Resonance-Based Metabolomics at Arbitrary Magnetic Fields.

Da-Wei Li, Rodrigo Cabrera Allpas, Munki Choo, Lei Bruschweiler-Li, Alexandar L Hansen, Rafael Brüschweiler

Abstract read
In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  5. Article
  6. Metabolite Fraction Libraries for Quantitative NMR Metabolomics.bioRxiv : the preprint server for biology · 2025
    Article
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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

6 authors.

Da-Wei LiDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.ORCID 0000-0002-3266-5272
Rodrigo Cabrera AllpasDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.
Munki ChooDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.
Lei Bruschweiler-LiDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.
Alexandar L HansenCampus Chemical Instrument Center, The Ohio State University, Columbus, Ohio 43210, United States.ORCID 0000-0003-4474-7141
Rafael BrüschweilerDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States.ORCID 0000-0003-3649-4543

Funding

Advanced NMR, computational, and hybrid methods for metabolomicsR35GM139482 · NIGMS · OHIO STATE UNIVERSITY · PI BRUSCHWEILER, RAFAEL · 2021 to 2025
$1.9M
NIGMS NIH HHS R35 GM139482
6 · The paper itself

Abstract

The field of metabolomics, which is quintessential in today's omics research, involves the large-scale detection, identification, and quantification of small-molecule metabolites in a wide range of biological samples. Nuclear magnetic resonance spectroscopy (NMR) has emerged as a powerful tool for metabolomics due to its high resolution, reproducibility, and exceptional quantitative nature. One of the key bottlenecks of metabolomics studies, however, remains the accurate and automated analysis of the resulting NMR spectra with good accuracy and minimal human intervention. Here, we present the COLMAR1d platform, consisting of a public web server and an optimized database, for one-dimensional (1D) NMR-based metabolomics analysis to address these challenges. The COLMAR1d database comprises more than 480 metabolites from GISSMO enabling a database query of spectra measured at arbitrary magnetic field strengths, as is demonstrated for spectra acquired between

Indexed as

MetabolomicsAnimalsAutomationDatabases, FactualHumansInternetMagnetic FieldsMagnetic Resonance SpectroscopyMiceSoftware

Identifiers

PMID39427262
PMCPMC11525900

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Registered trials

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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.