ArticleNature nanotechnology2024
Associating growth factor secretions and transcriptomes of single cells in nanovials using SEC-seq.
Article in Nature nanotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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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.
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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
19 citing papers in PubMed, 39 citations in OpenAlex.
- Review
- Article
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- Decoding Cellular Heterogeneity with Microfluidic Single-Cell Secretion Analysis Tools.ACS omega · 2026Review
- Cell assays in microcompartments driven by droplet microfluidics and hydrogel technologies.Journal of biochemistry · 2026Review
- PiP-Plex: A Particle-in-Particle System for Multiplexed Quantification of Proteins Secreted by Single Cells.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Microsystem technologies for accelerating the discovery and translation of immunotherapies.Nature reviews. Drug discovery · 2026Review
- Engineering mammalian protein secretion: Toward the convergence of high-throughput biology and computational methods.Cell systems · 2025Review
- Mesenchymal stem cells: A new strategy for the treatment of femoral head necrosis.Regenerative therapy · 2025Review
- Multi-step genomics on single cells and live cultures in sub-nanoliter capsules.bioRxiv : the preprint server for biology · 2025Article
- Microfluidic technologies for enhancing the potency, predictability and affordability of adoptive cell therapies.Nature biomedical engineering · 2025Review
- High-Throughput Single-Cell Analysis of Local Nascent Protein Deposition in 3D Microenvironments via Extracellular Protein Identification Cytometry (EPIC).Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Automating life science labs at the single-cell level through precise ultrasonic liquid sample ejection: PULSE.Microsystems & nanoengineering · 2024Article
- LIANA+ provides an all-in-one framework for cell-cell communication inference.Nature cell biology · 2024Article
- Function-first discovery of high affinity monoclonal antibodies using Nanovial-based plasma B cell screening.bioRxiv : the preprint server for biology · 2024Article
- Optimizing cell therapy by sorting cells with high extracellular vesicle secretion.Nature communications · 2024Article
- Lab on a Particle Technologies.Analytical chemistry · 2024Review
- Nanohybrid therapy hits multiple arthritis targets.Nature reviews. Rheumatology · 2024Article
- Advances in Single-Cell Techniques for Linking Phenotypes to Genotypes.Cancer heterogeneity and plasticity · 2024Article
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
Cells secrete numerous bioactive molecules that are essential for the function of healthy organisms. However, scalable methods are needed to link individual cell secretions to their transcriptional state over time. Here, by developing and using secretion-encoded single-cell sequencing (SEC-seq), which exploits hydrogel particles with subnanolitre cavities (nanovials) to capture individual cells and their secretions, we simultaneously measured the secretion of vascular endothelial growth factor A (VEGF-A) and the transcriptome for thousands of individual mesenchymal stromal cells. Our data indicate that VEGF-A secretion is heterogeneous across the cell population and is poorly correlated with the VEGFA transcript level. The highest VEGF-A secretion occurs in a subpopulation of mesenchymal stromal cells characterized by a unique gene expression signature comprising a surface marker, interleukin-13 receptor subunit alpha 2 (IL13RA2), which allowed the enrichment of this subpopulation. SEC-seq enables the identification of gene signatures linked to specific secretory states, facilitating mechanistic studies, the isolation of secretory subpopulations and the development of means to modulate cellular secretion.
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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.