Evidence map›Paper›PMID 20836009›Full record

ReviewWiley interdisciplinary reviews. Systems biology and medicine

Models at the single cell level.

Raymond Cheong, Saurabh Paliwal, Andre Levchenko

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Systems biology and medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Systems approaches in osteoarthritis: Identifying routes to novel diagnostic and therapeutic strategies.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2017
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Strength in numbers: quantitative single-molecule RNA detection assays.Wiley interdisciplinary reviews. Developmental biology
    Review
  8. Modeling of spatially-restricted intracellular signaling.Wiley interdisciplinary reviews. Systems biology and medicine
    Review
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.

Raymond CheongDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Saurabh PaliwalDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Andre LevchenkoDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.

Funding

Information tranfer in NF-kappaB and MAPK pathwaysR01GM072024 · NIGMS · YALE UNIVERSITY · PI LEVCHENKO, ANDRE · 2004 to 2019
$3.9M
An Integrative Analysis of MAPK Signaling in Budding YeastR01GM084332 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI LEVCHENKO, ANDRE · 2008 to 2011
$1.2M
Microfluidic Devices for Studying Cancer Signal TransductionR21CA131920 · NCI · JOHNS HOPKINS UNIVERSITY · PI LEVCHENKO, ANDRE · 2008 to 2009
$385k
NCI NIH HHS R21 CA131920NIGMS NIH HHS R01 GM072024NIGMS NIH HHS R01 GM084332
6 · The paper itself

Abstract

Many cellular behaviors cannot be completely captured or appropriately described at the cell population level. Noise induced by stochastic chemical reactions, spatially polarized signaling networks, and heterogeneous cell-cell communication are among the many phenomena that require fine-grained analysis. Accordingly, the mathematical models used to describe such systems must be capable of single cell or subcellular resolution. Here, we review techniques for modeling single cells, including models of stochastic chemical kinetics, spatially heterogeneous intracellular signaling, and spatial stochastic systems. We also briefly discuss applications of each type of model.

Indexed as

Models, BiologicalAnimalsCell CommunicationHumansModels, TheoreticalPopulationSignal TransductionSingle-Cell AnalysisStochastic Processes

Identifiers

PMID20836009
PMCPMC3895449

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.