ReviewNature reviews. Molecular cell biology2023
The technological landscape and applications of single-cell multi-omics.
Review in Nature reviews. Molecular cell biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 606 papers, 2 of them syntheses that pooled it.
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
606 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- [Organoid-based strategies and challenges in tissue regeneration].Zhonghua shao shang yu chuang mian xiu fu za zhi · 2026Pooled it
- Insights into the pathogenesis of rheumatic and immune diseases from single-cell omics.Frontiers in immunology · 2026Pooled it
- Metabolic immune checkpoints (MICs) in cancer: from molecular mechanisms to challenges and opportunities in clinical translation.Signal transduction and targeted therapy · 2026Review
- Unifying multimodal single-cell data with a mixture-of-experts β-variational autoencoder framework.Genome research · 2026Article
- DUET-seq: An Open-Source Droplet Platform for High-Fidelity Joint Chromatin and Transcriptome Profiling Reveals Temporal Regulatory Decoupling in Single Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Integrated single-cell multiomics reveals neutrophil-driven immune-metabolic reprogramming of Kupffer cells via thrombospondin-1/CD36 after surgical stress.JCI insight · 2026Article
- The chemical fingerprint of cellular senescence.Nature aging · 2026Article
- RamanOmics decodes the spatial vibrational-molecular architecture of senescence in aging and repair.Nature aging · 2026Article
- Article
- PEBP1 Regulates Ferroptosis in Acute Glaucoma: Targeted Therapy Using Engineered Exosomes.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Review
- Systematic benchmarking of ambient RNA decontamination tools to advance precision in single-cell transcriptomic analysis.Nature communications · 2026Article
- Towards 3D-oid models that integrate molecular, morphological and spatial cellular features.Nature reviews. Molecular cell biology · 2026Article
- Deciphering the rules of regulated cell death subroutines by in silico methods.Journal of advanced research · 2026Review
- Integration of imaging-based and sequencing-based spatial omics mapping on the same tissue section via DBiTplus.Nature methods · 2026Article
- Glutathione metabolism-linked ferroptosis in human seminoma: a spatial multi-omics mapping study.Redox biology · 2026Article
- Mapping ovarian cellular and molecular landscape across the lifespan of women: a scoping review.Human reproduction update · 2026Article
- scGSI: Graph-guided self-supervised integration of paired single-cell multi-omics.PLoS computational biology · 2026Article
- scMOG: A graph neural network method for regulatory relationship-preserving single-cell multi-omics integration.Quantitative biology (Beijing, China) · 2026Article
- Volumetric DNA microscopy for mapping spatial transcriptomes in three dimensions.Nature protocols · 2026Review
546 more citing papers are in PubMed but not listed here.
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
Single-cell multi-omics technologies and methods characterize cell states and activities by simultaneously integrating various single-modality omics methods that profile the transcriptome, genome, epigenome, epitranscriptome, proteome, metabolome and other (emerging) omics. Collectively, these methods are revolutionizing molecular cell biology research. In this comprehensive Review, we discuss established multi-omics technologies as well as cutting-edge and state-of-the-art methods in the field. We discuss how multi-omics technologies have been adapted and improved over the past decade using a framework characterized by optimization of throughput and resolution, modality integration, uniqueness and accuracy, and we also discuss multi-omics limitations. We highlight the impact that single-cell multi-omics technologies have had in cell lineage tracing, tissue-specific and cell-specific atlas production, tumour immunology and cancer genetics, and in mapping of cellular spatial information in fundamental and translational research. Finally, we discuss bioinformatics tools that have been developed to link different omics modalities and elucidate functionality through the use of better mathematical modelling and computational methods.
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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.