ArticleNature communications2022
Spatial transcriptomics using combinatorial fluorescence spectral and lifetime encoding, imaging and analysis.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 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
46 citing papers in PubMed, 70 citations in OpenAlex.
- 3D multi-omics tumour atlases: from technology to biology and clinical translation.Nature reviews. Cancer · 2026Review
- Insights Into Spatial Transcriptomics: Exploring Recent Technical Developments and Their Diverse Applications.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Review
- Large-FOV, dual-region, two-photon fluorescence lifetime imaging microscopy (LD-2P-FLIM) for multiparameter and quantitative brain function imaging.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Orthogonal nanopores cross-validation for multiplex single-molecule profiling.Chemical science · 2026Article
- Advances in spatial omics for the analysis of prostate cancer.Analytical and bioanalytical chemistry · 2026Review
- Imaging-Based Spatial Transcriptomics: Data Interpretation Methods and Biomedical Applications.Biology · 2026Review
- A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Investigating tumour heterogeneity in a melanoma arising in congenital melanocytic nevus using in situ spatial gene expression analysis.Journal of clinical pathology · 2026Article
- Resolving fluorescently labeled species using highly multiplexed spectral FLIM.Scientific reports · 2026Article
- Review
- Targeting phosphofructokinase in cancer: integrating natural products for metabolic reprogramming and therapeutic innovation.Frontiers in pharmacology · 2026Review
- Review
- Carbon dots as probes in FLIM:a review of applications and advances in cellular imaging.RSC advances · 2025Review
- High-plex spatial RNA imaging in one round with conventional microscopes using color-intensity barcodes.Nature biotechnology · 2025Article
- Chinese medicine monomers for hepatocellular carcinoma: New ideas related to autophagy.World journal of gastroenterology · 2025Review
- Unravelling tumour spatiotemporal heterogeneity using spatial multimodal data.Clinical and translational medicine · 2025Review
- Review of BCG immunotherapy for bladder cancer.Clinical microbiology reviews · 2025Review
- A robust method for autofluorescence-free immunofluorescence using high-speed fluorescence lifetime imaging microscopy.Scientific reports · 2025Article
- Applications of Nanotechnology for Spatial Omics: Biological Structures and Functions at Nanoscale Resolution.ACS nano · 2025Review
- Spatial-Omics Methods and Applications.Methods in molecular biology (Clifton, N.J.) · 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
16 authors at 2 institutions in 1 country.
Funding
Abstract
Multiplexed mRNA profiling in the spatial context provides new information enabling basic research and clinical applications. Unfortunately, existing spatial transcriptomics methods are limited due to either low multiplexing or complexity. Here, we introduce a spatialomics technology, termed Multi Omic Single-scan Assay with Integrated Combinatorial Analysis (MOSAICA), that integrates in situ labeling of mRNA and protein markers in cells or tissues with combinatorial fluorescence spectral and lifetime encoded probes, spectral and time-resolved fluorescence imaging, and machine learning-based decoding. We demonstrate MOSAICA's multiplexing scalability in detecting 10-plex targets in fixed colorectal cancer cells using combinatorial labeling of five fluorophores with facile error-detection and removal of autofluorescence. MOSAICA's analysis is strongly correlated with sequencing data (Pearson's r = 0.96) and was further benchmarked using RNAscope
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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.