Evidence map›Paper›PMID 32650717›Full record

ArticleBMC bioinformatics2020

Escher-Trace: a web application for pathway-based visualization of stable isotope tracing data.

Avi Kumar, Jack Mitchener, Zachary A King, Christian M Metallo

Abstract read
In one paragraph

Article in BMC bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Microbiome · 2024
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
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

4 authors.

Avi KumarDepartment of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Jack MitchenerDepartment of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Zachary A KingDepartment of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Christian M MetalloDepartment of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA. cmetallo@ucsd.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Directorate for Engineering 1454425NCATS NIH HHS UL1 TR001863Novo Nordisk Fonden NNF10CC1016517
6 · The paper itself

Abstract

backgroundStable isotope tracing has become an invaluable tool for probing the metabolism of biological systems. However, data analysis and visualization from metabolic tracing studies often involve multiple software packages and lack pathway architecture. A deep understanding of the metabolic contexts from such datasets is required for biological interpretation. Currently, there is no single software package that allows researchers to analyze and integrate stable isotope tracing data into annotated or custom-built metabolic networks.

resultsWe built a standalone web-based software, Escher-Trace, for analyzing tracing data and communicating results. Escher-Trace allows users to upload baseline corrected mass spectrometer (MS) tracing data and correct for natural isotope abundance, generate publication quality graphs of metabolite labeling, and present data in the context of annotated metabolic pathways. Here we provide a detailed walk-through of how to incorporate and visualize

conclusionsEscher-Trace is an open-source software for analysis and interpretation of stable isotope tracing data and is available at https://escher-trace.github.io/ .

Indexed as

Metabolic Networks and PathwaysSoftwareComputer GraphicsIsotope LabelingMass SpectrometryEscherMetabolismStable isotope tracingVisualizationWeb application

Identifiers

PMID32650717
PMCPMC7350651

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.