Evidence map›Paper›PMID 37312932›Full record

ArticleInternational journal of nanomedicine2023

The αTSR Domain of

Ming Xia, Frank Vago, Ling Han, Pengwei Huang, Linh Nguyen, Geert-Jan Boons, John S Klassen, Wen Jiang, Ming Tan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of nanomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. EngineeringVaccines · 2024
    Review
  6. 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

9 authors.

Ming XiaDivision of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Frank VagoDepartment of Biological Sciences, Purdue University, West Lafayette, IN, USA.
Ling HanDepartment of Chemistry, University of Alberta, Edmonton, Alberta, Canada.ORCID 0000-0002-3088-0374
Pengwei HuangDivision of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Linh NguyenDepartment of Chemistry, University of Alberta, Edmonton, Alberta, Canada.
Geert-Jan BoonsComplex Carbohydrate Research Center, University of Georgia, Athens, GA, USA.
John S KlassenDepartment of Chemistry, University of Alberta, Edmonton, Alberta, Canada.
Wen JiangDepartment of Biological Sciences, Purdue University, West Lafayette, IN, USA.
Ming TanDivision of Infectious Diseases, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.ORCID 0000-0002-6489-5507

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Malaria is a devastating infectious illness caused by protozoan Methods: In this study, we characterized the αTSR domain that covers region III and the thrombospondin type-I repeat (TSR) of the CSP using various biochemical, glycobiological, bioengineering, and immunological approaches. Results: We found for the first time that the αTSR bound heparan sulfate (HS) glycans through support by a fused protein, indicating that the αTSR is a key functional domain and thus a vaccine target. When the αTSR was fused to the S domain of norovirus VP1, the fusion protein self-assembled into uniform S Discussion and Conclusion: Our data demonstrated that the αTSR is an important functional domain of the CSP. The S

Indexed as

NanoparticlesSporozoitesAnimalsAntibodiesEscherichia coliHeparan SulfateMiceProtozoan ProteinsSulfatesAntibodiesHeparan SulfateProtozoan ProteinsSulfatesmalariamalaria vaccinenorovirusPlasmodiumreceptor binding domainS60 nanoparticleαTSR domain

Identifiers

PMID37312932
PMCPMC10259582

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.