ArticleCell reports2019
DoubletDecon: Deconvoluting Doublets from Single-Cell RNA-Sequencing Data.
Article in Cell reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers, 3 of them syntheses that pooled it.
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
135 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Single-cell RNA sequencing offers novel perspectives in viral infection research.Frontiers in cellular and infection microbiology · 2026Pooled it
- Generation of human islet cell type-specific identity genesets.Nature communications · 2022Pooled it
- Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application.Molecular neurodegeneration · 2022Pooled it
- Integrated single-cell and metabolomic profiling identifies ovarian metabolic differences and endothelial heterogeneity associated with litter-size variation in Hu sheep.Journal of animal science and biotechnology · 2026Article
- Coordinated dysregulation of modular gene activity in human neuropathologies.bioRxiv : the preprint server for biology · 2026Article
- Decoding Immune Cell Doublets in Humans: From Artifacts to Insights.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2026Review
- Mutation-specific dynamics of dedifferentiation trajectories and tumor-stromal interactions in thyroid cancer.Molecular cancer · 2026Article
- MiT fusions, TSC1-TSC2 divergence, and stem-like programs reveal distinct origins and vulnerabilities in PEComa.Nature communications · 2026Article
- Article
- Benchmarking plant single cell RNA-sequencing sample processing strategies.The EMBO journal · 2026Article
- Mosaic: Single-Cell Atlas of Stress.Cells · 2026Review
- Protocol to perform cell-type-specific transcriptome-wide association study using scPrediXcan framework.STAR protocols · 2026Article
- SAKURA: a knowledge-guided approach to recovering important, rare signals from single-cell data.Genome biology · 2026Article
- Multimodal analysis definesbioRxiv : the preprint server for biology · 2025Article
- A knowledge-guided approach to recovering important rare signals from high-dimensional single-cell data.bioRxiv : the preprint server for biology · 2025Article
- OmniDoublet: a method for doublet detection in multimodal single-cell sequencing data.Briefings in bioinformatics · 2025Article
- Tumor Cell-Intrinsic Decr2 Regulates Ferroptosis and Immunotherapy Efficacy.Cancer immunology research · 2025Article
- Probability of stealth multiplets in sample-multiplexing for droplet-based single-cell analysis.BMC genomics · 2025Article
- Opioid-driven disruption of the septum reveals a role for neurotensin-expressing neurons in withdrawal.Neuron · 2025Article
- Article
75 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Methods for single-cell RNA sequencing (scRNA-seq) have greatly advanced in recent years. While droplet- and well-based methods have increased the capture frequency of cells for scRNA-seq, these technologies readily produce technical artifacts, such as doublet cell captures. Doublets occurring between distinct cell types can appear as hybrid scRNA-seq profiles, but do not have distinct transcriptomes from individual cell states. We introduce DoubletDecon, an approach that detects doublets with a combination of deconvolution analyses and the identification of unique cell-state gene expression. We demonstrate the ability of DoubletDecon to identify synthetic, mixed-species, genetic, and cell-hashing cell doublets from scRNA-seq datasets of varying cellular complexity with a high sensitivity relative to alternative approaches. Importantly, this algorithm prevents the prediction of valid mixed-lineage and transitional cell states as doublets by considering their unique gene expression. DoubletDecon has an easy-to-use graphical user interface and is compatible with diverse species and unsupervised population detection algorithms.
Indexed as
Identifiers
What Socratic 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 Socratic graph.