Optimized network inference for immune diseased single cells
These genes were significantly related to nicotinate metabolism, ribonucleic acid (RNA) transcription, protein phosphorylation and the Rho family GTPase (RND) 1-3 signaling pathways, previously associated with immune regulation. Our results highlight ONIDsc's potential as a powerful tool for dissecting physiological and pathological processes in immune cells using high-dimensional single-cell data.
Authors
- María Rivas-Torrubia (ORCID: https://orcid.org/0009-0006-6515-2947)
- Elena Merino Tejero
- Daniela C. Vaz (ORCID: https://orcid.org/0000-0001-7562-4676)
- Walter Kölch (ORCID: https://orcid.org/0000-0001-5777-5016)
- Guillermo Barturen (ORCID: https://orcid.org/0000-0003-2103-1028)
- Marta E. Alarcón‐Riquelme (ORCID: https://orcid.org/0000-0002-7632-4154)
- David Matallanas (ORCID: https://orcid.org/0000-0002-2360-3141)
Institutions
- University College Dublin (IE)
- Universidad de Granada (ES)
- Karolinska Institutet (SE)
- Centro de Investigación Biomédica en Red (ES)
- Pfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research (ES)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-07-24
- DOI
- https://doi.org/10.3389/fimmu.2025.1597862
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Innovative Medicines Initiative