Evidence map›Paper›PMID 23296751›Full record

ReviewPflugers Archiv : European journal of physiology2013

Chemical approaches to study metabolic networks.

Daniel Medina-Cleghorn, Daniel K Nomura

Abstract readReview
In one paragraph

Review in Pflugers Archiv : European journal of physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Systems Biology of Microbial Exopolysaccharides Production.Frontiers in bioengineering and biotechnology · 2015
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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.

Daniel Medina-CleghornProgram in Metabolic Biology, Department of Nutritional Sciences and Toxicology, University of California, 127 Morgan Hall, Berkeley, CA 94720, USA.
Daniel K Nomura

Funding

Role of monoacylglycerol lipase in coordinating diverse lipid signaling pathwaysR00DA030908 · NIDA · UNIVERSITY OF CALIFORNIA BERKELEY · PI NOMURA, DANIEL · 2011 to 2013
$723k
Remodeling of Dietary Fat into Protumorigenic Signaling Lipids in Cancer (PQ1)R21CA170317 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI NOMURA, DANIEL · 2012 to 2013
$342k
NCI NIH HHS R21 CA170317NIDA NIH HHS R00 DA030908NIDA NIH HHS R00DA030908
6 · The paper itself

Abstract

One of the more provocative realizations that have come out of the genome sequencing projects is that organisms possess a large number of uncharacterized or poorly characterized enzymes. This finding belies the commonly held notion that our knowledge of cell metabolism is nearly complete, underscoring the vast landscape of unannotated metabolic and signaling networks that operate under normal physiological conditions, let alone in disease states where metabolic networks may be rewired, dysregulated, or altered to drive disease progression. Consequently, the functional annotation of enzymatic pathways represents a grand challenge for researchers in the post-genomic era. This review will highlight the chemical technologies that have been successfully used to characterize metabolism, and put forth some of the challenges we face as we expand our map of metabolic pathways.

Indexed as

Metabolic Networks and PathwaysAnimalsEnzyme InhibitorsHumansMetabolomicsProtein Array AnalysisProteomeEnzyme InhibitorsProteome

Identifiers

PMID23296751
PMCPMC3713524

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.