ATDB: A Comprehensive Multispecies Multi-Omics Database to Accelerate Allotransplantation Research

ATDB: A Comprehensive Multispecies Multi-Omics Database to Accelerate Allotransplantation Research | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article ATDB: A Comprehensive Multispecies Multi-Omics Database to Accelerate Allotransplantation Research Jiongsong Hu, Yuxiang Luo, Yabin Chen, Wenli Yin, Dahao Zhang, and 12 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8866853/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Allotransplantation transcriptomic studies have yielded vast RNA-seq datasets, yet inconsistent analytical strategies severely hinder inter-study comparability—a long-standing bottleneck in the field. We curated 136 high-quality GEO datasets (102 bulk, 34 scRNA-seq) across 7 species, established a unified standardization pipeline, and developed ATDB (https://atdb.splicedb.net). This paradigm-shifting database covers multiple species and transplant-relevant organs, integrates user-friendly interactive analysis modules, and fills critical gaps in transplant research infrastructure. It serves as an indispensable tool to accelerate biomarker discovery, refine transplant therapeutic regimens, and propel translational progress in allotransplantation. Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8866853","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":590602695,"identity":"abada12c-875e-4356-87d6-52ba845316ce","order_by":0,"name":"Jiongsong 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