ArticleNature reviews. Methods primers2024
Spatial Multiplexing and Omics.
Article in Nature reviews. Methods primers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed.
- Chromosomal instability in cancer: sources, consequences and new therapeutic opportunities.Signal transduction and targeted therapy · 2026Review
- Emerging technologies in the spatial proteomics landscape.Analytical and bioanalytical chemistry · 2026Review
- NicheTrans: spatial-aware cross-omics translation.Nature methods · 2026Article
- Review
- NOS2 and COX2 impact the spatial landscape of CD8Redox biology · 2026Review
- When effective anticancer therapies are, in fact, destabilizing the tumor's Group Phenotypic Composition.NPJ precision oncology · 2026Review
- Spatial and Phenotypic Heterogeneity of ILC Subsets in Mouse Lung Under Type 2 Inflammatory Conditions.European journal of immunology · 2026Article
- Review
- Smoldering in the sanctuary: HIV-associated brain injury in the ART era.The Journal of clinical investigation · 2026Review
- Spatial omics insights into tumor myeloid cells: roles in tumorigenesis, prognosis, and therapy.Molecular biology reports · 2026Review
- Multi-view deep learning of highly multiplexed imaging data improves association of cell states with clinical outcomes.Bioinformatics advances · 2026Article
- High-Resolution Laser Microdissection to Investigate Transcriptional States in Formalin-Fixed Paraffin-Embedded Samples.Methods in molecular biology (Clifton, N.J.) · 2026Article
- The spatial revolution in immuno-oncology: artificial intelligence decoding NK cell niches to predict therapeutic response.Frontiers in immunology · 2026Review
- Response to Comment: Gas Bubbles from Biodegradable Magnesium Implants Convey Mechanical Cues and Promote Immune Cell Stimulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A chemoenzymatic reaction-diffusion system with local inhibition and distal activation.Nature communications · 2025Article
- Cancer-associated fibroblasts as mediators of tissue microenvironment remodeling in cancer.Current opinion in cell biology · 2025Review
- Benchmarking multi-slice integration and downstream applications in spatial transcriptomics data analysis.Genome biology · 2025Article
- Cancer therapy resistance from a spatial-omics perspective.Clinical and translational medicine · 2025Review
- Integrated transcriptomic and metabolomic analysis of goose epididymis reveals molecular markers associated with sperm mobility.Poultry science · 2025Article
- The secret life of complement: challenges and opportunities in exploring functions of the complosome in disease.The Journal of clinical investigation · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Much like solving a game of Clue, understanding physiological mysteries involves answering who, what, when, and where. Multi-omics approaches delve into cellular and molecular identities (the who and what), while longitudinal data collection addresses the when. Spatial dimensions address the where. This Primer discusses current technologies enabling quantification across biological scales, emphasizing the importance of retaining the spatial dimension of that data. We outline experimental design considerations, including targeted versus untargeted approaches, sample types, biological scale, and four main classes of molecule detection. Spatial analytics are explored, covering questioning approaches, analytical platforms, image segmentation and sampling. Example applications, reproducibility considerations, limitations and our outlook for the future are provided. Our goal is to unite spatial platforms and biological scales that not commonly brought together to encourage collaboration and innovation between diverse biological fields, offering a conceptional framework and an apples-to-apples comparison for understanding major technologies to foster cross-disciplinary dialogue.
Identifiers
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.