DeepSpaceDB: a spatial transcriptomics atlas for interactive in-depth analysis of tissues and tissue microenvironments
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| הוצא לאור ב: | bioRxiv (Jan 6, 2025) |
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| מחבר ראשי: | |
| מחברים אחרים: | , , , , , |
| יצא לאור: |
Cold Spring Harbor Laboratory Press
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| גישה מקוונת: | Citation/Abstract Full text outside of ProQuest |
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MARC
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| 001 | 3151974000 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2692-8205 | ||
| 024 | 7 | |a 10.1101/2025.01.05.631419 |2 doi | |
| 035 | |a 3151974000 | ||
| 045 | 0 | |b d20250106 | |
| 100 | 1 | |a Honcharuk, Vladyslav | |
| 245 | 1 | |a DeepSpaceDB: a spatial transcriptomics atlas for interactive in-depth analysis of tissues and tissue microenvironments | |
| 260 | |b Cold Spring Harbor Laboratory Press |c Jan 6, 2025 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a Spatial transcriptomics provides a revolutionary approach to mapping gene expression within tissues, offering critical insights into the spatial organization of cellular and molecular processes. However, generating new spatial transcriptomics data is expensive and technically demanding, and analyzing such data requires advanced bioinformatics expertise. While publicly available datasets are growing rapidly, existing databases offer limited tools for interactive exploration and cross-sample comparisons. Here, we introduce DeepSpaceDB, a next-generation spatial transcriptomics database designed to address these issues. DeepSpaceDB focuses on interactivity and advanced analytical functionality, enabling users to explore spatial transcriptomics data with unprecedented flexibility. DeepSpaceDB allows for interactive selection and comparison of gene expression across regions within a single tissue slice or between slices, such as comparing hippocampal regions of an Alzheimer's model mouse and a control. It also includes quality indicators, database-wide trends, and advanced visualizations that provide real-time interactivity, such as zoomable plots and hover-based information display. The current version of DeepSpaceDB focuses explicitly on samples of the 10X Genomics Visium platform, ensuring higher-quality analyses and enhanced exploration tools, including comparison between interactively selected regions of tissue sections. This tradeoff enables unique features like similarity-based sample embeddings and database-wide comparisons, setting it apart from other databases prioritizing broad platform coverage over functionality. With its combination of advanced tools and interactive capabilities, DeepSpaceDB represents a transformative resource for spatial transcriptomics research, paving the way for deeper insights into tissue organization and disease biology. Availability: DeepSpaceDB is available at www.deepspacedb.com.Competing Interest StatementThe authors have declared no competing interest.Footnotes* https://www.DeepSpaceDB.com | |
| 653 | |a Databases | ||
| 653 | |a Hippocampus | ||
| 653 | |a Gene expression | ||
| 653 | |a Transcriptomics | ||
| 653 | |a Microenvironments | ||
| 653 | |a Neurodegenerative diseases | ||
| 653 | |a Alzheimer's disease | ||
| 653 | |a Bioinformatics | ||
| 653 | |a Gene mapping | ||
| 700 | 1 | |a Afeefa Zainab | |
| 700 | 1 | |a Horimoto, Yoshiya | |
| 700 | 1 | |a Takemoto, Keiko | |
| 700 | 1 | |a Diez, Diego | |
| 700 | 1 | |a Kawaoka, Shinpei | |
| 700 | 1 | |a Vandenbon, Alexis | |
| 773 | 0 | |t bioRxiv |g (Jan 6, 2025) | |
| 786 | 0 | |d ProQuest |t Biological Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3151974000/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u https://www.biorxiv.org/content/10.1101/2025.01.05.631419v1 |