Evidence map›Paper›PMID 32284383›Full record

ArticleAntimicrobial agents and chemotherapy2020

Detection of Protein Aggregation in Live

Arnau Biosca, Inés Bouzón-Arnáiz, Lefteris Spanos, Inga Siden-Kiamos, Valentín Iglesias, Salvador Ventura, Xavier Fernàndez-Busquets

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. A New Soaking Protocol to Live StainbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Overexpression inFrontiers in cellular and infection microbiology · 2025
    Article
  7. Article
  8. Effect of the aggregated protein dye YAT2150 onAntimicrobial agents and chemotherapy · 2024
    Article
  9. Article
  10. 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

7 authors at 3 institutions in 2 countries.

Arnau BioscaBarcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.
Inés Bouzón-ArnáizBarcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain.
Lefteris SpanosInstitute of Molecular Biology and Biotechnology, FORTH, Heraklion, Greece.
Inga Siden-KiamosInstitute of Molecular Biology and Biotechnology, FORTH, Heraklion, Greece.
Valentín IglesiasInstitut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, Spain.
Salvador VenturaInstitut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, Spain.
Xavier Fernàndez-BusquetsBarcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain xfernandez_busquets@ub.edu.ORCID 0000-0002-4622-9631
Institute for Bioengineering of Catalonia · ESFORTH Institute of Molecular Biology and Biotechnology · GRUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid evolution of resistance in the malaria parasite to every single drug developed against it calls for the urgent identification of new molecular targets. Using a stain specific for the detection of intracellular amyloid deposits in live cells, we have detected the presence of abundant protein aggregates in

Indexed as

ParasitesAnimalsFemaleMicePlasmodium bergheiPlasmodium falciparumProtein AggregatesProtozoan ProteinsProtein AggregatesProtozoan Proteinsmalariaprotein aggregation

Identifiers

PMID32284383
PMCPMC7269469
OpenAlexW3015589446

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.