Single-cell Pediatric Cancer Atlas (ScPCA) Portal - Dataset Contributions

In 2019, ALSF established the Single-cell Pediatric Cancer Atlas (ScPCA) through awards for data generation and to create an atlas of single-cell gene expression profiles of pediatric cancers of different types and from different organ sites. The Childhood Cancer Data Lab, a program of ALSF, launched the ScPCA Portal in 2022 to make uniformly processed, summarized single-cell and single-nuclei RNA-seq data and de-identified metadata available for download.

ALSF seeks to expand the projects available from the ScPCA Portal by accepting submissions from researchers with existing single-cell, single-nuclei, or spatial datasets. Submitted datasets will be made publicly available on the ScPCA Portal. Researchers that submit data may be eligible to receive small grants of unrestricted funds. Please see the guidelines for contributing to the portal to learn more.

If you have a dataset you are interested in making available via the portal, we want to hear from you! To help determine whether the dataset meets the necessary requirements to be shared via the ScPCA Portal, please fill out this form with as much detail as possible. Contact scpca@ccdatalab.org with any questions.

First name*

Last name*

Your email*

What institution are you affiliated with?*

What is your title or position?*

What lab or center are you a member of?*

Principal Investigator last name or other lab/center name if more appropriate.

Describe the dataset you wish to submit to the ScPCA Portal.*

-Please clearly describe whether the samples you will submit are from tumor samples directly obtained from patients, patient-derived xenografts, cell lines, or other model systems.
-Please specify the disease type being studied and any treatments or experimental conditions.
-The project abstract from a submission to a repository such as SRA may be used, provided the above information is included.

What type of sequencing was used?*

Ex. CITE-seq, single-nuclei, single-cell
Please include the 10x kit used to generate the data.

Please list any preprint or peer-reviewed publication associated with the dataset.

Please include a Digital Object Identifier (DOI).

Select the organism that was studied.*

Human

Mouse

Other

If you selected other, please list the organism here.

Provide any supporting literature for cell lines and mouse models.

Please use standard nomenclature to refer to model systems.

Provide the number of samples you will submit.*

A sample represents a unique tissue that was collected from a participant.

Provide the number of libraries, if different from the number of samples.

A library represents a single set of cells from a tissue sample (i.e., the result of emulsion and droplet generation using the 10X Genomics workflow).

Share any additional comments or questions.