Evidence map›Paper›PMID 23585879›Full record

ArticlePloS one2013

Life cycle-dependent cytoskeletal modifications in Plasmodium falciparum infected erythrocytes.

Hui Shi, Zhuo Liu, Ang Li, Jing Yin, Alvin G L Chong, Kevin S W Tan, Yong Zhang, Chwee Teck Lim

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Host Cytoskeleton Remodeling throughout the Blood Stages of Plasmodium falciparum.Microbiology and molecular biology reviews : MMBR · 2019
    Review
  13. Article
  14. Article
  15. Article
  16. Erythrocyte Membrane Makeover byFrontiers in microbiology · 2019
    Review
  17. Article
  18. Article
  19. Article
  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

8 authors.

Hui ShiNano Biomechanics Laboratory, Department of Bioengineering, National University of Singapore, Singapore, Singapore.
Zhuo Liu
Ang Li
Jing Yin
Alvin G L Chong
Kevin S W Tan
Yong Zhang
Chwee Teck Lim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasmodium falciparum infection of human erythrocytes is known to result in the modification of the host cell cytoskeleton by parasite-coded proteins. However, such modifications and corresponding implications in malaria pathogenesis have not been fully explored. Here, we probed the gradual modification of infected erythrocyte cytoskeleton with advancing stages of infection using atomic force microscopy (AFM). We reported a novel strategy to derive accurate and quantitative information on the knob structures and their connections with the spectrin network by performing AFM-based imaging analysis of the cytoplasmic surface of infected erythrocytes. Significant changes on the red cell cytoskeleton were observed from the expansion of spectrin network mesh size, extension of spectrin tetramers and the decrease of spectrin abundance with advancing stages of infection. The spectrin network appeared to aggregate around knobs but also appeared sparser at non-knob areas as the parasite matured. This dramatic modification of the erythrocyte skeleton during the advancing stage of malaria infection could contribute to the loss of deformability of the infected erythrocyte.

Indexed as

Cytoskeletal ProteinsErythrocyte DeformabilityErythrocyte MembraneErythrocytesHumansMicroscopy, Atomic ForcePlasmodium falciparumProtein MultimerizationSchizontsTrophozoitesCytoskeletal Proteins

Identifiers

PMID23585879
PMCPMC3621960

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.