ReviewMedComm2025
Single-Cell and Spatial Multiomics: Applications for Diseases.
Review in MedComm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Integrating multi-omics data for next-generation cancer research and precision medicine.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Epigenomic Remodeling by Lipid Metabolism: A Cross-Disease Perspective on Cancer and Brain Disorders.Genes · 2026Review
- Metabolic Reprogramming of Cancer Stem Cells: Targeting Lipid Flux and Mitochondrial Plasticity to Overcome Therapeutic Resistance.Cancer medicine · 2026Review
- Cell Death in Neurodegenerative Diseases: Molecular Mechanisms and Therapeutic Targets.MedComm · 2026Review
- Beyond Targeted Gene Panels: Whole-Exome Sequencing as a Strategic Platform for Precision Therapeutics in Alzheimer's Disease.Life (Basel, Switzerland) · 2026Review
- Precision Covalent Drug Discovery Inspired by Endogenous Electrophilic Signalling in Immune Cells.Biomedicines · 2026Article
- Intracellular Crosstalk of the Gasotransmitter Trio (NO, CO, HInternational journal of molecular sciences · 2026Review
- Short-Read Sequencing Benchmarking with Donor-Specific Assemblies.bioRxiv : the preprint server for biology · 2026Article
- CD24 as an innate immune checkpoint in solid tumors: biology, biomarker stratification, and therapeutic translation.Frontiers in immunology · 2026Review
- The metastatic spectrum in functional and non-functional NENs: mechanistic insights from multi-omics.Frontiers in endocrinology · 2026Review
- Regulatory T cells in pregnancy disorders: a multi-dimensional framework for biomarkers and therapeutic strategies.Frontiers in immunology · 2026Review
- Review
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
No grant is acknowledged in the PubMed record.
Abstract
Complex and dynamic networks of molecules are involved in human diseases. Single-cell and spatial multiomics approaches have created new avenues for understanding the pathogenesis and diagnosis of diseases. Cell connections and characteristics in diseases may be examined more thoroughly by integration single-cell and spatial multiomics. In this paper, we first reviewed the single-cell and spatial multiomics approaches. Subsequently, the use of single-cell and spatial multiomics to comprehend the mechanisms of human diseases, such as cancer (head and neck squamous cell carcinoma), neurodegenerative diseases, and aging, was discussed. Furthermore, we outline how deep learning approaches are now being applied to single-cell and spatial multiomics data analysis in an effort to better define the pathogenic alterations upstream and the downstream molecular effects of diseases. Particularly, single-cell and spatial multiomics are being utilized to help guide treatment plans, evaluate risks, and determine how they can affect precision medicine. Despite the relative youth of the field, the development of single-cell coupled with spatial multiomics promises to provide a powerful tool for elucidating the pathogenesis of diseases.
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What OpenQuestion holds
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.