Generic diagramming platform (GDP): a comprehensive database of high-quality biomedical graphics
Open accessAbstract
High-quality schematic illustrations are fundamental to the publication of scientific achievements in biomedical research, which are crucial for effectively conveying complex biomedical concepts. However, creating such illustrations remains challenging for many researchers due to the need to devote a significant amount of time and effort to accomplish it. To address this need, we present the Generic Diagramming Platform (GDP, https://BioGDP.com), a comprehensive database of professionally crafted biomedical graphics (bio-graphics). Currently, GDP houses 7 562 high-quality bio-graphics, meticulously categorized into 10 major and 77 minor categories. To increase the design efficiency, GDP provides 204 customizable templates derived from an extensive review of over 2000 literature and 7 textbooks. With the interactive drawing platform and user-friendly web interface implemented in GDP, these resources can facilitate the efficient generation of publication-ready illustrations for the biomedical community. Additionally, GDP incorporates a collaborative submission system, allowing researchers to contribute their artwork, fostering a growing diagramming ecosystem, and ensuring continuous database expansion. Overall, we believe that GDP will serve as an invaluable platform, significantly enhancing the efficiency and quality of scientific illustration for biomedical researchers.
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Beyond transcriptional repression, HDACs modulate neuroinflammation (increased IL-1β, IL-6, TNF-α), mitochondrial metabolism (decreased OXPHOS, increased ROS), and HPA axis activity (increased cortisol).
“Beyond transcriptional repression, HDACs also modulate neuroinflammation (↑IL-1β, IL-6, TNF-α), mitochondrial metabolism (↓OXPHOS, ↑ROS), and HPA axis activity (↑cortisol), providing additional pharmacological entry points for antidepressant development (Jiang et al., 2025).”
From Histone modifications and depression: epigenetic mechanisms, therapeutic targets, and translational outlook (2026) · cites this paper as Jiang et al., 2025
The Results (Bio-graphics library) and Discussion describe a biomedical illustration platform, not HDAC biology. Searches for HDACs, the named inflammatory markers, mitochondrial effects, HPA-axis activity, and antidepressant development found no passage in our copy addressing the claim. (LLM, conf=0.76)
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- Authors
- Jiang, S., Li, H., Zhang, L., Mu, W., Zhang, Y., Chen, T., Wu, J., Tang, H., Zheng, S., Liu, Y., Wu, Y., Luo, X., Xie, Y., & Ren, J.
- Affiliations
- Sun Yat-sen University (CN)
- Corresponding author
- Xie, Yubin
- Ren, Jian
- ORCID
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2024-10-29
- Volume
- 53
- Issue
- D1
- Pages
- D1670-D1676
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC11701665
- OpenAlex
- W4403853942
- Cited by
- 1,804
- References
- 12
- Citations by year
- 2026: 1296 · 2025: 501 · 2024: 7
- FWCI
- 2658.79
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- National Key Research and Development Program of China (2023YFC2705900)
- National Natural Science Foundation of China (32470709)
- Guangdong Province Excellent Youth Team Project (2024B1515040009)
- Topics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Academic Writing and Publishing
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Keywords
- scientific illustration, schematic diagrams, publication-ready figures
- MeSH terms
- Computer Graphics, Humans, Software, User-Computer Interface, Databases, Factual, Internet, Biomedical Research
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