Evidence map›Paper›PMID 39885034›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Identification of Primary Metabolites in

Hye Kyong Kim, Young Hae Choi

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Hye Kyong KimNatural Products Lab, Institute of Biology, Leiden University, Leiden, The Netherlands. h.k.kim@biology.leidenuniv.nl.ORCID 0000-0002-6956-7449
Young Hae ChoiNatural Products Lab, Institute of Biology, Leiden University, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying metabolites in NMR-based plant metabolomics is challenging due to the complexity of plant metabolites. This complexity stems from the abundance and diverse chemical properties of compounds, which vary in concentration across plant specimens. Additionally, the lack of automated identification software complicates the analysis process. Primary metabolites such as amino acids and sugars are widespread in plants, yet their identification is not straightforward due to various stereoisomeric forms and dynamic equilibria. Our protocol offers a manual approach to identify these metabolites, particularly focusing on amino acids and sugars. Through step-by-step guidance, we aim to empower researchers to navigate plant metabolomics complexities effectively.

Indexed as

MetabolomeMetabolomicsPlantsProton Magnetic Resonance SpectroscopyAmino AcidsMagnetic Resonance SpectroscopySoftwareSugarsAmino AcidsSugarsAmino acidIdentificationNMR spectroscopyPlant metabolomicsPrimary metabolites

Identifiers

What OpenQuestion holds

Textmetadata
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.