ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2021
Multiplexing Methods for Simultaneous Large-Scale Transcriptomic Profiling of Samples at Single-Cell Resolution.
Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 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
42 citing papers in PubMed, 67 citations in OpenAlex.
- Single-cell sequencing profiling of intratumoral heterogeneity and immunosuppressive microenvironment in primary thyroid cancer and lymph node metastases.Oncoimmunology · 2026Article
- Moderated designs can balance between batch-effect mitigation and cell loss due to hashtag-assisted pooling in single-cell experiments.Genome research · 2026Article
- Mapping the path to clinical implementation of multi-omics.Nature genetics · 2026Review
- A scalable, low-cost, sample hashing workflow for multiomic single-cell analysis using the Seq-Well SNature protocols · 2026Review
- CMDdemux: an efficient single cell demultiplexing method.Nucleic acids research · 2026Article
- Article
- Methodologies for Sample Multiplexing and Computational Deconvolution in Single-Cell Sequencing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Integrated bioinformatics analysis to elucidate cellular communication in the microenvironment of breast cancer.Discover oncology · 2025Article
- Moderated designs can balance between batch-effect mitigation and cell loss due to hashtag-assisted pooling in single-cell experiments.bioRxiv : the preprint server for biology · 2025Article
- Probability of stealth multiplets in sample-multiplexing for droplet-based single-cell analysis.BMC genomics · 2025Article
- A multiplex single-cell RNA-Seq pharmacotranscriptomics pipeline for drug discovery.Nature chemical biology · 2025Article
- The spatiotemporal transcriptional profiling of murine brain during cerebral malaria progression and after artemisinin treatment.Nature communications · 2025Article
- Deterministic genetic barcoding for multiplexed behavioral and single-cell transcriptomic studies.eLife · 2025Article
- Single-cell sequencing in diabetic retinopathy: progress and prospects.Journal of translational medicine · 2025Review
- CryoSCAPE: Scalable immune profiling using cryopreserved whole blood for multi-omic single cell and functional assays.Journal of translational medicine · 2025Article
- Mapping the oxidative landscape in cystic fibrosis: methodological frontiers and application.Frontiers in pharmacology · 2025Review
- MitoSort: Robust Demultiplexing of Pooled Single-cell Genomic Data Using Endogenous Mitochondrial Variants.Genomics, proteomics & bioinformatics · 2024Article
- RAG-seq: NSR-primed and Transposase Tagmentation-mediated Strand-specific Total RNA Sequencing in Single Cells.Genomics, proteomics & bioinformatics · 2024Article
- Single-cell RNA sequencing in diabetic kidney disease: a literature review.Renal failure · 2024Review
- Sample multiplexing for retinal single-cell RNA sequencing.iScience · 2024Article
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
Abstract
Barcoding technology has greatly improved the throughput of cells and genes detected in single-cell RNA sequencing (scRNA-seq) studies. Recently, increasing studies have paid more attention to the use of this technology to increase the throughput of samples, as it has greatly reduced the processing time, technical batch effects, and library preparation costs, and lowered the per-sample cost. In this review, the various DNA-based barcoding methods for sample multiplexing are focused on, specifically, on the four major barcoding strategies. A detailed comparison of the barcoding methods is also presented, focusing on aspects such as sample/cell throughput and gene detection, and guidelines for choosing the most appropriate barcoding technique according to the personalized requirements are developed. Finally, the critical applications of sample multiplexing and technical challenges in combinatorial labeling, barcoding in vivo, and multimodal tagging at the spatially resolved resolution, as well as, the future prospects of multiplexed scRNA-seq, for example, prioritizing and predicting the severity of coronavirus disease 2019 (COVID-19) in patients of different gender and age are highlighted.
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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.