Evidence map›Paper›PMID 16803584›Full record

ReviewCellular microbiology2006

Systems biology of virus entry in mammalian cells.

Eva-Maria Damm, Lucas Pelkmans

Abstract readComparative StudyReview
In one paragraph

Review in Cellular microbiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Stochastic Hybrid Systems in Cellular Neuroscience.Journal of mathematical neuroscience · 2018
    Review
  5. Review
  6. Kinetic Modeling of Virus Growth in Cells.Microbiology and molecular biology reviews : MMBR · 2018
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Allergy as an epithelial barrier disease.Clinical and translational allergy · 2011
    Article
  15. Origins of regulated cell-to-cell variability.Nature reviews. Molecular cell biology · 2011
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Antiviral strategies.Handbook of experimental pharmacology · 2009
    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

2 authors.

Eva-Maria DammInstitute for Molecular Systems Biology, ETH Zürich, Wolfgang Pauli-Strasse 16, CH-8093 Zürich, Switzerland.
Lucas Pelkmans

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we define systems biology of virus entry in mammalian cells as the discipline that combines several approaches to comprehensively understand the collective physical behaviour of virus entry routes, and to understand the coordinated operation of the functional modules and molecular machineries that lead to this physical behaviour. Clearly, these are extremely ambitious aims, but recent developments in different life science disciplines slowly allow us to set them as realistic, although very distant, goals. Besides classical approaches to obtain high-resolution information of the molecules, particles and machines involved, we require approaches that can monitor collective behaviour of many molecules, particles and machines simultaneously, in order to reveal design principles of the systems as a whole. Here we will discuss approaches that fall in the latter category, namely time-lapse imaging and single-particle tracking (SPT) combined with computational analysis and modelling, and genome-wide RNA interference approaches to reveal the host components required for virus entry. These techniques should in the future allow us to assign host genes to the systems' functions and characteristics, and allow emergence-driven, in silico assembly of networks that include interactions with increasing hierarchy (molecules-multiprotein complexes-vesicles and organelles), and kinetics and subcellular spatiality, in order to allow realistic simulations of virus entry in real time.

Indexed as

AnimalsAntiviral AgentsCell MembraneGene Expression ProfilingHumansModels, BiologicalRNA InterferenceSimian virus 40Systems BiologyVesicular stomatitis Indiana virusVirus DiseasesVirusesVirus Physiological PhenomenaAntiviral Agents

Identifiers

PMID16803584
PMCPMC7159091

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.