ArticleiScience2021
Resolving cellular systems by ultra-sensitive and economical single-cell transcriptome filtering.
Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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Who cites it
10 citing papers in PubMed.
- A practical guide to targeted single-cell RNA sequencing technologies.Communications biology · 2026Review
- BayesRare: Bayesian mixture model for population-level rare cell type detection in multi-subject single-cell RNA sequencing data.Briefings in bioinformatics · 2026Article
- RoCK and ROI: single-cell transcriptomics with multiplexed enrichment of selected transcripts and region-specific sequencing.Nature communications · 2025Article
- A targeted sequencing extension for transcript genotyping in single-cell transcriptomics.Life science alliance · 2023Article
- Impaired expression of metallothioneins contributes to allergen-induced inflammation in patients with atopic dermatitis.Nature communications · 2023Article
- Advances and Opportunities in Single-Cell Transcriptomics for Plant Research.Annual review of plant biology · 2021Review
- Ileal Transcriptomic Analysis in Paediatric Crohn's Disease Reveals IL17- and NOD-signalling Expression Signatures in Treatment-naïve Patients and Identifies Epithelial Cells Driving Differentially Expressed Genes.Journal of Crohn's & colitis · 2021Article
- HyPR-seq: Single-cell quantification of chosen RNAs via hybridization and sequencing of DNA probes.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Combinatorial single-cell CRISPR screens by direct guide RNA capture and targeted sequencing.Nature biotechnology · 2020Article
- Targeted Perturb-seq enables genome-scale genetic screens in single cells.Nature methods · 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
7 authors.
Funding
Abstract
Single-cell transcriptomics suffer from sensitivity limits that restrict low abundance transcript identification, affects clustering and can hamper downstream analyses. Here, we describe Constellation sequencing (Constellation-Seq), a molecular transcriptome filter that delivers two orders of magnitude sensitivity gains by maximizing read utility while reducing the data sparsity and sequencing costs. The technique reliably measures changes in gene expression and was demonstrated by resolving rare dendritic cell populations from a peripheral blood mononuclear cell sample sample and exploring their biology with extreme resolution. The simple and powerful method is fully compatible with standard scRNA-Seq library preparation protocols and can be used for hypothesis testing, marker validation or investigating pathways.
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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.