Welcome to SCIGAMA (Spinal Cord Injury Gut Microbiome and Multi-organ Gene Expression Atlas), a comprehensive database designed to advance research in Spinal Cord Injury (SCI). SCIGAMA stands out by integrating longitudinal gut microbiome data from three distinct intestinal segments in mice, collected across 15 critical time points post-injury. This unique dataset provides unprecedented insights into the dynamic shifts within the gut ecosystem following SCI.

In addition to the rich microbiome data, SCIGAMA incorporates curated public microarray and RNA-seq datasets from four species, further enhancing its value. The database also houses exclusive, proprietary RNA-seq expression profiles from 14 different organs, meticulously collected at the same post-SCI time points as the microbiome data. This integrated collection includes over 2,000 samples—270 microbiome samples, 840 proprietary transcriptomic samples, and 967 public genomic samples—offering a holistic view across the acute, subacute, and chronic phases of SCI.

SCIGAMA empowers researchers to query these extensive datasets and explore the complex temporal dynamics of both the gut microbiome and gene expression across multiple organs after SCI. To support your research, we provide integrated analytical tools for preliminary hypothesis validation. Our platform ensures intuitive navigation and comprehensive data access, offering users the ability to explore SCI-related microbiome, transcriptomic, and microarray data with ease.

Explore our user-friendly platform at: http://58.247.16.28:30080/SCIGAMA/index/homePage and take full advantage of dedicated sections for Microbiome and Transcriptome data, along with useful tools for trend analysis, function exploration, and helpful tutorials.