ArticleGenome biology2018
SCOPE-Seq: a scalable technology for linking live cell imaging and single-cell RNA sequencing.
Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- Imaging-Guided Omics Technologies for Resolving Rare Cancer States and Advancing Nanomedicine.Nano letters · 2026Review
- An expanded role for single-cell chemical genomics profiling in drug discovery.The Biochemical journal · 2026Review
- Study on Liver Sinusoidal Endothelial Cell Fenestrations Based on Cellular Omics-Structure Integration Technology and Its Application in Metabolic Diseases.bioRxiv : the preprint server for biology · 2025Article
- Progress of single-cell sequencing technology in immunotherapy for tuberculosis.Frontiers in cellular and infection microbiology · 2025Review
- Cell identity revealed by precise cell cycle state mapping links data modalities.bioRxiv : the preprint server for biology · 2024Article
- A brief overview of passive microvalves in microfluidics: Mechanism, manufacturing, and applications.Biomicrofluidics · 2024Review
- Integrating single-cell transcriptomics with cellular phenotypes: cell morphology, CaBiophysical reviews · 2024Review
- Bridging live-cell imaging and next-generation cancer treatment.Nature reviews. Cancer · 2023Review
- Initial refinement of data from video-based single-cell tracking.Cancer innovation · 2023Article
- Article
- Robotic data acquisition with deep learning enables cell image-based prediction of transcriptomic phenotypes.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Review
- Phototoxic effects of nonlinear optical microscopy on cell cycle, oxidative states, and gene expression.Scientific reports · 2022Article
- Single-cell RNA sequencing in oral science: Current awareness and perspectives.Cell proliferation · 2022Review
- Fate-mapping mice: new tools and technology for immune discovery.Trends in immunology · 2022Review
- Advancement of Single-Cell Sequencing in Medulloblastoma.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Spatially Resolved Mass Spectrometry at the Single Cell: Recent Innovations in Proteomics and Metabolomics.Journal of the American Society for Mass Spectrometry · 2021Review
- Connecting Timescales in Biology: Can Early Dynamical Measurements Predict Long-Term Outcomes?Trends in cancer · 2021Review
- Dive into Single, Seek Out Multiple: Probing Cancer Metastases via Single-Cell Sequencing and Imaging Techniques.Cancers · 2021Review
- Integrating single-cell RNA-seq and imaging with SCOPE-seq2.Scientific reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Optically decodable beads link the identity of a sample to a measurement through an optical barcode, enabling libraries of biomolecules to be captured on beads in solution and decoded by fluorescence. This approach has been foundational to microarray, sequencing, and flow-based expression profiling technologies. We combine microfluidics with optically decodable beads and show that phenotypic analysis of living cells can be linked to single-cell sequencing. As a proof-of-concept, we demonstrate the accuracy and scalability of our tool called Single Cell Optical Phenotyping and Expression sequencing (SCOPE-Seq) to combine live cell imaging with single-cell RNA sequencing.
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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.