Evidence map›Paper›PMID 35190800›Full record

ArticleAnalytical science advances2020

Cloud-based archived metabolomics data: A resource for in-source fragmentation/annotation, meta-analysis and systems biology.

Amelia Palermo, Tao Huan, Duane Rinehart, Markus M Rinschen, Shuzhao Li, Valerie B O'Donnell, Eoin Fahy, Jingchuan Xue, Shankar Subramaniam, H Paul Benton and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Analytical science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

11 authors.

Amelia PalermoScripps Center for Metabolomics, The Scripps Research Institute, 10550 North Torrey Pines Rd., La Jolla, CA, 92037, USA.
Tao HuanScripps Center for Metabolomics, The Scripps Research Institute, 10550 North Torrey Pines Rd., La Jolla, CA, 92037, USA.
Duane RinehartScripps Center for Metabolomics, The Scripps Research Institute, 10550 North Torrey Pines Rd., La Jolla, CA, 92037, USA.
Markus M RinschenScripps Center for Metabolomics, The Scripps Research Institute, 10550 North Torrey Pines Rd., La Jolla, CA, 92037, USA.
Shuzhao LiThe Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06032, USA.
Valerie B O'DonnellSystems Immunity Research Institute, Cardiff University, Sir Martin Evans Building, Museum Avenue, Cardiff CF10 3AX, UK.
Eoin FahyDepartment of Bioengineering, University of California San Diego, 9500 Gilman Dr, La Jolla, CA, 92093-0412, USA.
Jingchuan XueScripps Center for Metabolomics, The Scripps Research Institute, 10550 North Torrey Pines Rd., La Jolla, CA, 92037, USA.
Shankar SubramaniamDepartment of Bioengineering, University of California San Diego, 9500 Gilman Dr, La Jolla, CA, 92093-0412, USA.
H Paul BentonScripps Center for Metabolomics, The Scripps Research Institute, 10550 North Torrey Pines Rd., La Jolla, CA, 92037, USA.
Gary SiuzdakScripps Center for Metabolomics, The Scripps Research Institute, 10550 North Torrey Pines Rd., La Jolla, CA, 92037, USA.

Funding

Therapeutics Core (Page 286)P30MH062261 · NIMH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GENDELMAN, HOWARD E · 2000 to 2021
$37.7M
Metabolomics Technologies to Advance Biomedical ResearchR35GM130385 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI GARY E SIUZDAK · 2019 to 2026
$3.9M
Proteomic Strategies for AIDS and Drug Abuse - HIV and METH CNS SynergyP01DA026146 · NIDA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GENDELMAN, HOWARD E · 2008 to 2010
$2.9M
Mummichog 3, aligning mass spectrometry data to biological networks - Neutral LossU01CA235493 · NCI · JACKSON LABORATORY · PI LI, SHUZHAO, SIUZDAK, GARY E · 2018 to 2021
$2.0M
NCI NIH HHS U01 CA235493NIDA NIH HHS P01 DA026146NIGMS NIH HHS R35 GM130385NIMH NIH HHS P30 MH062261
6 · The paper itself

Abstract

Archived metabolomics data represent a broad resource for the scientific community. However, the absence of tools for the meta-analysis of heterogeneous data types makes it challenging to perform direct comparisons in a single and cohesive workflow. Here we present a framework for the meta-analysis of metabolic pathways and interpretation with proteomic and transcriptomic data. This framework facilitates the comparison of heterogeneous types of metabolomics data from online repositories (

Indexed as

Archived datameta-analysismetabolic pathwaysmetabolomicsproteomicssystems biologytranscriptomics

Identifiers

PMID35190800
PMCPMC8858440

What OpenQuestion holds

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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.