About the RNA Gene Database

The RNA Gene Database is an initiative developed by the Ludwig Boltzmann Institute for Traumatology (LBI Trauma) in collaboration with the General Accident Insurance Institution (AUVA). This platform facilitates the exploration of gene expression in tissue repair and regeneration, providing researchers with valuable insights into the molecular mechanisms underlying these processes.

Mission and Vision

LBI Trauma's mission is to develop and advance diagnostic, therapeutic, and regenerative research strategies to enable the full and sustained recovery of trauma patients. To achieve this goal, the institute employs an interdisciplinary scientific strategy that merges basic biomedical, translational, and clinical research. Innovative precision medicine solutions are integrated into clinical practice to enhance patient outcomes.

Focus on Tissue Regeneration

A significant area of research at LBI Trauma is the study of tissue damage responses in regeneration and aging. This research uncovers differences in tissue responses that influence regenerative potential by comparing regenerative and non-regenerative models. The focus is on phenotypes like re-epithelialization, skin contraction, and molecular signaling pathways, such as p-rpS6 induction and Erk signaling. By identifying differences between regenerative and non-regenerative conditions, the study aims to enable improved tissue regeneration.

The Role of the RNA Gene Database

The RNA Gene Database serves as a comprehensive resource for researchers to access and analyze gene expression data related to tissue repair and regeneration. By providing a centralized platform for this data, it facilitates the identification of key genes and molecular pathways involved in these processes. This, in turn, can inform the development of targeted therapeutic strategies aimed at enhancing tissue regeneration and improving patient outcomes.

Re-Analysis of Public Data

Researchers who re-analyze publicly available datasets contribute valuable insights without repeating experiments. These studies are cost-effective, reduce the need for animal or other experimentation, and often reveal novel findings that extend the impact of existing data.

Journals and editors are encouraged to recognize the scientific merit of such work, ensuring that high-quality re-analyses are published and accessible to the research community.

Suggested Journals

• ReScience C — Dedicated to computational replications of existing research.
• F1000Research — Publishes data notes, null results, and re-analyses of existing datasets.
• Journal of Open Research Software — Publishes open-source software supporting reproducible research.
• Journal of Open Source Software — Focuses on software tools that facilitate reproducible research.
• CODATA Data Science Journal — Covers reuse and re-analysis of research data across domains.
• Scientific Data — Welcomes studies that re-analyze existing datasets with new insights or methods.
• PLOS Computational Biology — Publishes computational analyses of biological datasets, including re-analyses.
• PLOS ONE — Multidisciplinary journal considering re-analyses of public data meeting scientific rigor standards.

Cite Us As

If you use the RNA Gene Database in your research, please cite:

Ogrodnik M., Jadhav V., Rozmarič T., et al. (2025).
The RNA Gene Database: A resource for studying tissue repair and regeneration.
Developmental Cell. https://doi.org/10.1016/j.devcel.2023.04.001
                

Publications Using the Database

• • Transcription-Independent Induction of Rapid-Onset Senescence is Integral to Healing, Cell Press (pre-print), 2024 — DOI
• • The p-rpS6-zone delineates wounding responses and the healing process, Developmental Cell, 2023 — DOI

Our Partners and Collaborations

Ludwig Boltzmann Gesellschaft (LBG)

AUVA

Contact Us

We’d love to hear from you. Whether you have questions about the RNA Gene Database, collaboration opportunities, or general inquiries — feel free to reach out.