Published December 16, 2025 | Version v1
Dataset Open

Albugo Apoplast Proteomics

Description

The objective of this study is to analyze the proteins released by Albugo candida Nc2 and Albugo laibachii Nc14 into the apoplast of Arabidopsis thaliana ecotype WS-0 during infection. This research aims to identify proteins involved in the infection process and their interactions with both co-inhabiting microbes and the host plant.

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albugo_proteomics-FDAT_release_v1.zip

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Additional details

Related works

Is source of
Data paper: 10.1111/nph.18995 (DOI)

Data quality

Accuracy

This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.

Completeness

This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.

Conformity

This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.

Consistency

This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.

Credibility

This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.

Processability

This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.

Relevance

This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.

Timeliness

This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.

Understandability

This dataset has been created based on the Annotated Research Context (ARC). ARC is a framework for organizing and documenting research data. It also serves as a container that continuously supports collaboration, data exchange, and adherence to FAIR principles (Findable, Accessible, Interoperable, and Reusable) among various researchers. The ARC framework can be assessed for completeness and quality at any time and is built on widely accepted research data standards, such as ISA (Investigation, Study, Assay). This project encompasses experimental data, annotation and metadata, computational processes, protocols, and other necessary information related to the entire research project life cycle.