Evidence map›Paper›PMID 24594637›Full record

ReviewCurrent opinion in biotechnology2014

Activity-based proteomic and metabolomic approaches for understanding metabolism.

Devon Hunerdosse, Daniel K Nomura

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Fluorescent Mechanism-Based Probe for Aerobic Flavin-Dependent Enzyme Activity.Chembiochem : a European journal of chemical biology · 2016
    Article
  11. Article
  12. Review
  13. 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.

Devon HunerdosseProgram in Metabolic Biology, University of California, Berkeley, Berkeley, CA 94720, United States.
Daniel K NomuraProgram in Metabolic Biology, University of California, Berkeley, Berkeley, CA 94720, United States. Electronic address: dnomura@berkeley.edu.

Funding

Annotating the Role of Dysregulated Inositol Phosphate Metabolism in Malignant CaR01CA172667 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI NOMURA, DANIEL · 2013 to 2017
$1.7M
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 R01 CA172667NCI NIH HHS R01CA172667NCI NIH HHS R21 CA170317NCI NIH HHS R21CA170317NIDA NIH HHS R00 DA030908NIDA NIH HHS R00DA030908
6 · The paper itself

Abstract

There are an increasing number of human pathologies that have been associated with altered metabolism, including obesity, diabetes, atherosclerosis, cancer, and neurodegenerative diseases. Most attention on metabolism has been focused on well-understood metabolic pathways and has largely ignored most of the biochemical pathways that operate in (patho)physiological settings, in part because of the vast landscape of uncharacterized and undiscovered metabolic pathways. One technology that has arisen to meet this challenge is activity-based protein profiling (ABPP) that uses activity-based chemical probes to broadly assess the functional states of both characterized and uncharacterized enzymes. This review will focus on how ABPP, coupled with inhibitor discovery platforms and functional metabolomic technologies, have led to discoveries that have expanded our knowledge of metabolism in health and disease.

Indexed as

MetabolomicsProteomicsAnimalsEnzyme InhibitorsEnzymesHumansMetabolic Networks and PathwaysNeoplasmsProtein BindingProtein Interaction MappingProteomeEnzyme InhibitorsEnzymesProteome

Identifiers

PMID24594637
PMCPMC4112020

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.