Evidence map›Paper›PMID 25262299›Full record

ArticleNature biotechnology2014

Enzyme clustering accelerates processing of intermediates through metabolic channeling.

Michele Castellana, Maxwell Z Wilson, Yifan Xu, Preeti Joshi, Ileana M Cristea, Joshua D Rabinowitz, Zemer Gitai, Ned S Wingreen

Abstract read
In one paragraph

Article in Nature biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed, 1 pooled it
–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

172 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Accelerated Ostwald Ripening by Chemical Activity.Journal of the American Chemical Society · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

112 more citing papers are in PubMed but not listed here.

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

8 authors.

Michele CastellanaLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA.
Maxwell Z WilsonDepartment of Molecular Biology, Princeton University, Princeton, New Jersey, USA.
Yifan Xu1] Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA. [2] Department of Molecular Biology, Princeton University, Princeton, New Jersey, USA.
Preeti JoshiDepartment of Molecular Biology, Princeton University, Princeton, New Jersey, USA.
Ileana M CristeaDepartment of Molecular Biology, Princeton University, Princeton, New Jersey, USA.
Joshua D Rabinowitz1] Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA. [2] Department of Chemistry, Princeton University, Princeton, New Jersey, USA.
Zemer GitaiDepartment of Molecular Biology, Princeton University, Princeton, New Jersey, USA.
Ned S Wingreen1] Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, USA. [2] Department of Molecular Biology, Princeton University, Princeton, New Jersey, USA.

Funding

Proteomic Tools to Uncover the Role of Chromatin Remodeling in HIV-1 InfectionDP1DA026192 · NIDA · PRINCETON UNIVERSITY · PI CRISTEA, ILEANA M. · 2008 to 2012
$3.9M
Discovering Antibiotic Drugs & Targets via High-Throughput Bacterial Cell BiologyDP2OD004389 · OD · PRINCETON UNIVERSITY · PI GITAI, ZEMER · 2008 to 2008
$2.4M
Host Factors Required for Dengue and Yellow Fever Virus AmplificationR21AI102187 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CRISTEA, ILEANA M., THOMPSON, SUNNIE R · 2012 to 2013
$414k
NIAID NIH HHS R21 AI102187NIAID NIH HHS R21AI102187NIDA NIH HHS DP1 DA026192NIDA NIH HHS DP1DA026192NIH HHS DP2 OD004389
6 · The paper itself

Abstract

We present a quantitative model to demonstrate that coclustering multiple enzymes into compact agglomerates accelerates the processing of intermediates, yielding the same efficiency benefits as direct channeling, a well-known mechanism in which enzymes are funneled between enzyme active sites through a physical tunnel. The model predicts the separation and size of coclusters that maximize metabolic efficiency, and this prediction is in agreement with previously reported spacings between coclusters in mammalian cells. For direct validation, we study a metabolic branch point in Escherichia coli and experimentally confirm the model prediction that enzyme agglomerates can accelerate the processing of a shared intermediate by one branch, and thus regulate steady-state flux division. Our studies establish a quantitative framework to understand coclustering-mediated metabolic channeling and its application to both efficiency improvement and metabolic regulation.

Indexed as

EnzymesEscherichia coliEscherichia coli ProteinsArginineComputational BiologyHomeostasisMetabolic Networks and PathwaysModels, BiologicalPyrimidinesArginineEnzymesEscherichia coli ProteinspyrimidinePyrimidines

Identifiers

PMID25262299
PMCPMC4666537

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.