FITdb, an integrated Functional Immunogenomics and Transcriptomics database

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ID: 333607
2026
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Abstract
Abstract Genetic screens in immune cells enable the systematic interrogation of gene function at scale, uncovering key regulators of cell functions such as tumor cell killing and persistence. However, existing datasets typically focus on specific biological questions, employ targeted gene panels, are generated under diverse experimental conditions, and are not readily accessible, which together limit their integration and future usability. To address this, we developed the Functional Immunogenomics and Transcriptomics database (FITdb), a freely accessible resource that harmonizes functional genomics datasets for the study of immune cell biology. FITdb currently integrates 43 independent functional genetics screens, including 31 bulk and 12 single-cell screens, spanning 20 696 mouse genes and 22 293 human genes across 199 immune cell types and cell states across 29 conditions. Datasets are reanalyzed using a standardized workflow to facilitate cross-study exploration. FITdb provides intuitive, gene-centric visualizations, detailed exploration of individual screens, and access to single-guide RNA-level data. Additionally, built-in tools such as “Compare MyGeneSet” and “Compare MyScreen” identify statistically significant overlaps between user-defined gene lists and functional gene sets in FITdb, and enable direct comparison of user-generated screening data with existing datasets, respectively. Together, FITdb provides a curated, continuously expanding, and user-friendly platform for accelerating the discovery of immune regulatory programs. The database is freely available at https://fitdb.lji.org.
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openalex_W7223358021 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Xinjian Cen, Qixuan Ma, Kevin Kim, Susanne Gamas-Vis, Ananda W. Goldrath, Maximilian Heeg, Miguel Reina‐Campos
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Journal Nucleic Acids Research
Year 2026
DOI
10.1093/nar/gkag1031
URL
https://doi.org/10.1093/nar/gkag1031
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