To help make this massive dataset more accessible to the research community, we developed interactive exploration tools at @alleninstitute.org

Easily explore DEGs and pathways and view how the whole panel of cytokines affect your favorite genes at:
apps.allenimmunology.org/aifi/resourc...

Our colleagues at @benaroyaresearch.bsky.social and @alleninstitute.org collected patient metadata, clinical labs, vaccine serology, plasma proteomics, scRNA-seq, and whole blood RNA-seq data, all curated and openly available for download with consistent metadata from our web portal.

If you're an Immunologist studying vaccine response or looking for a great control dataset for your study, or if you're looking for a great dataset for large-scale, machine learning, look no further than our Dynamics of Immune Health and Age website.
apps.allenimmunology.org/aifi/insight...

Now that the paper is out, we're proud to support both our team's publication and immunologists through open visualizations, tools, downloads, and a record of analyses, called a Certificate of Reproducibility through the Human Immune System Explorer.
royalsocietypublishing.org/doi/10.1098/...

Here's a direct link to that Reference tool:
apps.allenimmunology.org/aifi/resourc...

More complement-related gene symbols can be found here, courtesy of the HGNC:
www.genenames.org/data/genegro...

The main way we have to look at Complement System in our atlas is by looking at expression of the genes that are involved. For example, if you select the gene C1QA (serum complement component C1q) in our reference tool, we can see that it's expressed by a specialized C1Q+ monocyte population:

The striatum is a key region involved in substance use disorders and movement disorders, and these new tools provide a way to target specific populations within this important brain region.

Congrats to the Allen Institute for Brain Science team on building this resource!

Christian LaFrance overcame a series of technical hurdles to make this beautiful, responsive, and extensible tool that we can build on in future releases.

The data and analyses that went into building this resource are described here:
apps.allenimmunology.org/aifi/resourc...