ArticleNature communications2016
Massive and parallel expression profiling using microarrayed single-cell sequencing.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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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.
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Who cites it
26 citing papers in PubMed.
- Single-cell sequencing reveals transcriptional and immunogenetic diversity in stereotyped chronic lymphocytic leukemia.Blood neoplasia · 2026Article
- Smart microdevices for biomedical drug delivery: endogenous stimuli as the key to safer therapeutics.RSC advances · 2026Review
- Unravelling tumour spatiotemporal heterogeneity using spatial multimodal data.Clinical and translational medicine · 2025Review
- Water in peripheral TM-interfaces of Orai1-channels triggers pore opening.Communications biology · 2024Article
- Spatial host-microbiome sequencing reveals niches in the mouse gut.Nature biotechnology · 2024Article
- Towards high-throughput parallel imaging and single-cell transcriptomics of microbial eukaryotic plankton.PloS one · 2024Article
- Spatial Transcriptomics in Kidney Tissue.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Recent revelations and future directions using single-cell technologies in chronic lymphocytic leukemia.Frontiers in oncology · 2023Review
- Towards precision medicine in lymphoid malignancies.Journal of internal medicine · 2022Review
- Three-dimensional spatial transcriptomics uncovers cell type localizations in the human rheumatoid arthritis synovium.Communications biology · 2022Article
- SM-Omics is an automated platform for high-throughput spatial multi-omics.Nature communications · 2022Article
- Spatially Resolved Transcriptomes of Mammalian Kidneys Illustrate the Molecular Complexity and Interactions of Functional Nephron Segments.Frontiers in medicine · 2022Article
- Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape.Genome biology · 2021Review
- Imputation of spatially-resolved transcriptomes by graph-regularized tensor completion.PLoS computational biology · 2021Article
- A single-cell RNA-sequencing training and analysis suite using the Galaxy framework.GigaScience · 2020Article
- Integrative Methods and Practical Challenges for Single-Cell Multi-omics.Trends in biotechnology · 2020Review
- A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast.eLife · 2020Article
- Review
- Deciphering Brain Complexity Using Single-cell Sequencing.Genomics, proteomics & bioinformatics · 2019Review
- SCOPE-Seq: a scalable technology for linking live cell imaging and single-cell RNA sequencing.Genome biology · 2018Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell transcriptome analysis overcomes problems inherently associated with averaging gene expression measurements in bulk analysis. However, single-cell analysis is currently challenging in terms of cost, throughput and robustness. Here, we present a method enabling massive microarray-based barcoding of expression patterns in single cells, termed MASC-seq. This technology enables both imaging and high-throughput single-cell analysis, characterizing thousands of single-cell transcriptomes per day at a low cost (0.13 USD/cell), which is two orders of magnitude less than commercially available systems. Our novel approach provides data in a rapid and simple way. Therefore, MASC-seq has the potential to accelerate the study of subtle clonal dynamics and help provide critical insights into disease development and other biological processes.
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