ReviewNature reviews. Genetics2025
Adapting systems biology to address the complexity of human disease in the single-cell era.
Review in Nature reviews. Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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Who cites it
15 citing papers in PubMed.
- AI-enabled engineering of hesperidin/ursodeoxycholic acid nanomedicine for synergistic treatment of drug-induced liver injury.Smart molecules : open access · 2026Article
- Lipid nanoparticles as active biointerfaces: From membrane interaction to systemic dysregulation.Acta pharmaceutica Sinica. B · 2026Review
- Human genetics across levels of biological organization.Nature reviews. Genetics · 2026Review
- Interpretation, extrapolation and perturbation of single cells.Nature reviews. Genetics · 2026Review
- Integrating AI, mechanistic modelling and network approaches in systems biology for translational research.NPJ systems biology and applications · 2026Article
- Mitochondrial Network Dynamics in Aging: Cellular Mechanisms, Intercellular Communication, and Their Impact on Tissue Adaptability.International journal of molecular sciences · 2026Review
- Article
- Artificial intelligence-enabled multi-scale virtual cell: perspective, challenges, and opportunities.Briefings in bioinformatics · 2026Review
- Spatial architecture of development and disease.Nature reviews. Genetics · 2026Review
- Challenges and potential applications of AI in systems biology.Nature reviews. Molecular cell biology · 2026Article
- Special Issue "Molecular Progression in Genome-Related Diseases".International journal of molecular sciences · 2026Article
- Glioma-intrinsic SLC1A3 hijacks the vascular niche to establish an immunosuppressive microenvironment.Frontiers in immunology · 2026Article
- scPD: a Python package for inferring continuous population dynamics from single-cell snapshot data.Bioinformatics advances · 2026Article
- Metabolite-driven protein modifications in immune signaling: from established principles to emerging pyruvylation.Frontiers in immunology · 2026Review
- VIP-OT: Dissecting Single-Cell Biochemical State Dynamics under Perturbation via Vibrational Painting and Optimal Transport.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Systems biology aims to achieve holistic insights into the molecular workings of cellular systems through iterative loops of measurement, analysis and perturbation. This framework has had remarkable success in unicellular model organisms, and recent experimental and computational advances - from single-cell and spatial profiling to CRISPR genome editing and machine learning - have raised the exciting possibility of leveraging such strategies to prevent, diagnose and treat human diseases. However, adapting systems-inspired approaches to dissect human disease complexity is challenging, given that discrepancies between the biological features of human tissues and the experimental models typically used to probe function (which we term 'translational distance') can confound insight. Here we review how samples, measurements and analyses can be contextualized within overall multiscale human disease processes to mitigate data and representation gaps. We then examine ways to bridge the translational distance between systems-inspired human discovery loops and model system validation loops to empower precision interventions in the era of single-cell genomics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.