ArticleNature methods2023
Time-resolved assessment of single-cell protein secretion by sequencing.
Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 28 citations in OpenAlex.
- Mapping and engineering the human cell-cell interactome.Nature biotechnology · 2026Review
- Systematic Mapping of Protein Interactions Underlying IL-2 Secretion in Human T Cells.Analytical chemistry · 2026Article
- Cell Surface Ion-Seq: Potassium Ion Monitoring in the Colorectal Cancer Cellular Microenvironment Based on Split G‑quadruplex Probe.ACS central science · 2025Article
- Engineering mammalian protein secretion: Toward the convergence of high-throughput biology and computational methods.Cell systems · 2025Review
- Multiplexed profiling of single-cell secretion on a hierarchical loading microwell chip.Biosensors & bioelectronics · 2025Article
- Key Considerations on CITE-Seq for Single-Cell Multiomics.Proteomics · 2025Review
- Temporal and spatial omics technologies for 4D profiling.Nature methods · 2025Review
- Role of Microglia in Glaucomatous Pathology.Advances in experimental medicine and biology · 2025Review
- Dissecting human adipose tissue heterogeneity using single-cell omics technologies.Stem cell research & therapy · 2024Review
- Bead-based microfluidic platforms for multiplex and ultrasensitive immunoassays in clinical diagnosis and treatment.Mechanobiology in medicine · 2024Review
- Investigating immunity.Nature methods · 2024Article
- Beyond single cells: microfluidics empowering multiomics analysis.Analytical and bioanalytical chemistry · 2024Review
- Identification, sorting and profiling of functional killer cells via the capture of fluorescent target-cell lysate.Nature biomedical engineering · 2024Article
- Associating growth factor secretions and transcriptomes of single cells in nanovials using SEC-seq.Nature nanotechnology · 2024Article
- Year in review 2023.Nature methods · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Secreted proteins play critical roles in cellular communication. Methods enabling concurrent measurement of cellular protein secretion, phenotypes and transcriptomes are still unavailable. Here we describe time-resolved assessment of protein secretion from single cells by sequencing (TRAPS-seq). Released proteins are trapped onto the cell surface and probed by oligonucleotide-barcoded antibodies before being simultaneously sequenced with transcriptomes in single cells. We demonstrate that TRAPS-seq helps unravel the phenotypic and transcriptional determinants of the secretion of pleiotropic T
Indexed as
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.