ArrayExpress accepts sequencing-based spatial transcriptomics datasets. These guidelines describe how to prepare and submit such data using Annotare.
Please note that this page highlights requirements specific for spatial data and is not comprehensive. Please refer to the general submission guidelines for complete guidance on the Annotare/ArrayExpress submission process.
Imaging-based spatial transcriptomics datasets are not accepted in ArrayExpress and should instead be submitted to the BioImage Archive.
Raw data files are brokered to the European Nucleotide Archive (ENA), while ArrayExpress archives metadata, images, and processed data.
Data derived from human samples that could potentially enable donor identification may only be submitted if appropriate consent for public data release has been obtained.
If raw data from human material experiments cannot be released publicly, we can accept submissions with processed data only. In these cases, sufficient metadata and protocol descriptions must still be provided to enable interpretation of the dataset. A curator will need to approve the submission manually to override the missing raw data file error—please contact the Annotare team for assistance.
The aim of an ArrayExpress submission is to ensure that datasets can be understood and reproduced independently of any associated publication.
All relevant metadata, protocols, and processed outputs should therefore be included.
For spatial transcriptomics submissions, please select the “Single cell sequencing” template in Annotare.
This template allows submission of more than two raw data files per sequencing library and captures the required experimental metadata.
Leave empty or select “Other” for any library construction categories that are not relevant for your method.
Annotare will automatically require core metadata based on the selected experimental model. For spatial transcriptomics datasets, we strongly recommend including the additional sample attributes listed below.
In the Single-cell library information tab:
Please provide all required protocols.
Spatial transcriptomics submissions should also include a Dissection protocol describing:
In the normalization/data transformation protocol, specify the version of downstream analysis software.
(Required unless restricted human data)
Please refer to detailed instructions for raw sequencing file preparation.
Raw image: A high-resolution tissue image must be provided but assigned as a processed data file.
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