Evidence map›Paper›PMID 18940805›Full record

ReviewThe Journal of biological chemistry2009

Models of spatially restricted biochemical reaction systems.

Susana R Neves, Ravi Iyengar

Open access · hybridAbstract readReview
In one paragraph

Review in The Journal of biological chemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

22 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Mathematical modeling of gonadotropin-releasing hormone signaling.Molecular and cellular endocrinology · 2017
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Developing models in virtual cell.Science signaling · 2011
    Article
  17. Article
  18. Review
  19. Signalling ballet in space and time.Nature reviews. Molecular cell biology · 2010
    Review
  20. 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 at 1 institution in 1 country.

Susana R NevesDepartment of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, New York 10029, USA.
Ravi Iyengar
Icahn School of Medicine at Mount Sinai · US

Funding

MOLECULAR MECHANISM OF DESENSITIZATIONR01GM054508 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI IYENGAR, SRINIVAS RAVI V · 1995 to 2016
$8.0M
Spatial Models of Cell Regulatory NetworksR01GM072853 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI HONE, JAMES C, IYENGAR, SRINIVAS RAVI V · 2005 to 2019
$6.1M
Trauma and Inflammation Research TrainingT32GM065085 · NIGMS · RHODE ISLAND HOSPITAL · PI Alfred Ayala · 2004 to 2026
$3.2M
NIGMS NIH HHS GM 072853NIGMS NIH HHS P50 GM 065085NIGMS NIH HHS R01 GM054508NIGMS NIH HHS R01 GM072853
6 · The paper itself

Abstract

Many reactions within the cell occur only in specific intracellular regions. Such local reaction networks give rise to microdomains of activated signaling components. The dynamics of microdomains can be visualized by live cell imaging. Computational models using partial differential equations provide mechanistic insights into the interacting factors that control microdomain dynamics. The mathematical models show that, for membrane-initiated signaling, the ratio of the surface area of the plasma membrane to the volume of the cytoplasm, the topology of the signaling network, the negative regulators, and kinetic properties of key components together define microdomain dynamics. Thus, patterns of locally restricted signaling reaction systems can be considered an emergent property of the cell.

Indexed as

Metabolic Networks and PathwaysModels, BiologicalSignal TransductionAnimalsHumansMathematics

Identifiers

PMID18940805
PMCPMC2645809
OpenAlexW1991772876

What OpenQuestion holds

Textmetadata
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.