ArticleNature communications2020
Digital microfluidic isolation of single cells for -Omics.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 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
53 citing papers in PubMed, 169 citations in OpenAlex.
- Article
- AI-integrated microfluidics for drug screening: From single cell to organ-on-a-chip.Acta pharmaceutica Sinica. B · 2026Review
- Recent Advances in Microfluidic Chip Technology for Laboratory Medicine: Innovations and Artificial Intelligence Integration.Biosensors · 2026Review
- Single-cell metabolic accumulation analysis by microfluidic hydrogel microspheres combined with mass spectrometry.Chemical science · 2026Article
- µCodes: A Universal Grid Platform for Microscale Mapping, Microscopy Navigation, and Multimodal Imaging.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Orchestrating Self-Replication in Artificial Cells with Digital Microfluidics.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Single-Cell Nucleus Extraction with Cellular Indexing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Transforming microfluidics for single-cell analysis with robotics and artificial intelligence.Lab on a chip · 2025Review
- Advancements and Future Perspectives of Microfluidic Technology in Pediatric Healthcare.Smart medicine · 2025Review
- Nucleic acid amplification tests in digital microfluidics: the promise of next-generation point-of-care diagnostics.Microsystems & nanoengineering · 2025Review
- Integration of hyperspectral imaging and transcriptomics from individual cells with SpectralSeq.Genome research · 2025Article
- Intelligent single-cell manipulation: LLMs- and object detection-enhanced active-matrix digital microfluidics.Microsystems & nanoengineering · 2025Article
- Data-Driven Theoretical Modeling of Centrifugal Step Emulsification and Its Application in Comprehensive Multiscale Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Rapid and comprehensive detection of viral antibodies and nucleic acids via an acoustofluidic integrated molecular diagnostics chip: AIMDx.Science advances · 2025Article
- Digital Microfluidics for Sample Preparation in Low-Input Proteomics.Small methods · 2025Review
- Review
- Deep Learning-Assisted Label-Free Parallel Cell Sorting with Digital Microfluidics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Mapping Nanoscale-To-Single-Cell Phosphoproteomic Landscape by Chip-DIA.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Structural Optimization of Microfluidic Chips for Enhancing Droplet Manipulation and Observation via Electrodynamics Simulation.Cyborg and bionic systems (Washington, D.C.) · 2025Article
- Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research.Acta biochimica Polonica · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We introduce Digital microfluidic Isolation of Single Cells for -Omics (DISCO), a platform that allows users to select particular cells of interest from a limited initial sample size and connects single-cell sequencing data to their immunofluorescence-based phenotypes. Specifically, DISCO combines digital microfluidics, laser cell lysis, and artificial intelligence-driven image processing to collect the contents of single cells from heterogeneous populations, followed by analysis of single-cell genomes and transcriptomes by next-generation sequencing, and proteomes by nanoflow liquid chromatography and tandem mass spectrometry. The results described herein confirm the utility of DISCO for sequencing at levels that are equivalent to or enhanced relative to the state of the art, capable of identifying features at the level of single nucleotide variations. The unique levels of selectivity, context, and accountability of DISCO suggest potential utility for deep analysis of any rare cell population with contextual dependencies.
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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.