Evidence map›Paper›PMID 25225336›Full record

ReviewThe Journal of cell biology2014

Systems cell biology.

Fred D Mast, Alexander V Ratushny, John D Aitchison

Abstract readReview
In one paragraph

Review in The Journal of cell biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Towards the Idea of Molecular Brains.International journal of molecular sciences · 2021
    Review
  9. Single-Cell Microgels for Diagnostics and Therapeutics.Advanced functional materials · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Amino acid catabolism-directed biofuel production inBiotechnology reports (Amsterdam, Netherlands) · 2017
    Review
  17. Article
  18. Article
  19. Systems Imaging of the Immune Synapse.Methods in molecular biology (Clifton, N.J.) · 2017
    Article
  20. The interactome challenge.The Journal of cell biology · 2015
    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

3 authors.

Fred D MastSeattle Biomedical Research Institute, Seattle, WA 98109 Institute for Systems Biology, Seattle, WA 98109.
Alexander V RatushnySeattle Biomedical Research Institute, Seattle, WA 98109 Institute for Systems Biology, Seattle, WA 98109.
John D AitchisonSeattle Biomedical Research Institute, Seattle, WA 98109 Institute for Systems Biology, Seattle, WA 98109 john.aitchison@seattlebiomed.org.

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DUDLEY, AIMEE M · 2006 to 2016
$30.6M
TR&D Project 4. The Imaging Stage: Multiscale Spatiotemporal Modeling of Macromolecular Systems in Cellular NeighborhoodsP41GM109824 · NIGMS · ROCKEFELLER UNIVERSITY · PI ROUT, MICHAEL P · 2014 to 2023
$18.8M
New Tools for Exploring the Dynamic Interactome (Renewal)U54GM103511 · NIGMS · ROCKEFELLER UNIVERSITY · PI ROUT, MICHAEL P · 2012 to 2013
$6.2M
Nucleocytoplasmic transport: a target for cellular controlU01GM098256 · NIGMS · ROCKEFELLER UNIVERSITY · PI AITCHISON, JOHN D., ROUT, MICHAEL P · 2011 to 2014
$3.0M
NIGMS NIH HHS P41 GM109824NIGMS NIH HHS P50 GM076547NIGMS NIH HHS U01 GM098256NIGMS NIH HHS U54 GM103511
6 · The paper itself

Abstract

Systems cell biology melds high-throughput experimentation with quantitative analysis and modeling to understand many critical processes that contribute to cellular organization and dynamics. Recently, there have been several advances in technology and in the application of modeling approaches that enable the exploration of the dynamic properties of cells. Merging technology and computation offers an opportunity to objectively address unsolved cellular mechanisms, and has revealed emergent properties and helped to gain a more comprehensive and fundamental understanding of cell biology.

Indexed as

Cell BiologyHigh-Throughput Nucleotide SequencingBiomedical ResearchCytological TechniquesModels, BiologicalProteomicsResearch DesignSystems Biology

Identifiers

PMID25225336
PMCPMC4164942

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.