Evidence map›Paper›PMID 42799850›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2027

Extracellular Vesicle Isolation from Botrytis cinerea Culture and B. cinerea-Infected Arabidopsis Plants.

Lida Halilovic, Simoné Murguia, Yuan Wang, Huaitong Wu, Hailing Jin

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Lida HalilovicDepartment of Microbiology and Plant Pathology, Center for Plant Cell Biology, Institute for Integrative Genome Biology, University of California, Riverside, CA, USA.
Simoné MurguiaDepartment of Microbiology and Plant Pathology, Center for Plant Cell Biology, Institute for Integrative Genome Biology, University of California, Riverside, CA, USA.
Yuan WangDepartment of Microbiology and Plant Pathology, Center for Plant Cell Biology, Institute for Integrative Genome Biology, University of California, Riverside, CA, USA.
Huaitong WuDepartment of Microbiology and Plant Pathology, Center for Plant Cell Biology, Institute for Integrative Genome Biology, University of California, Riverside, CA, USA.
Hailing JinDepartment of Microbiology and Plant Pathology, Center for Plant Cell Biology, Institute for Integrative Genome Biology, University of California, Riverside, CA, USA. hailing.jin@ucr.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are universally conserved and essential players in the communication between cells across nearly all organisms of life. Botrytis cinerea produces and secretes EVs that are critical in its virulence on plants. Numerous studies in various fungal species reveal that EVs are important across different pathosystems to facilitate fungal infection. For characterization of the cargo and role of EVs in fungal growth and communication, it is necessary to carefully and precisely purify fungal EVs from fungal culture or the plant interaction interface. Here, we present a method for the isolation of Botrytis cinerea EVs from culture and the infection site of B. cinerea on Arabidopsis thaliana. Fungal EVs isolated using this method are free from cellular contamination from fungal or plant cells, remain viable in functional assays, and provide high-quality RNA and protein.

Indexed as

ArabidopsisBotrytisExtracellular VesiclesPlant DiseasesHost-Pathogen InteractionsExtracellular vesiclesFungal virulencePlant–microbe interactions

Identifiers

PMID42799850

What OpenQuestion holds

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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.