ReviewNature reviews. Genetics2017
Scaling by shrinking: empowering single-cell 'omics' with microfluidic devices.
Review in Nature reviews. Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 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
155 citing papers in PubMed.
- Decoding Cellular Heterogeneity with Microfluidic Single-Cell Secretion Analysis Tools.ACS omega · 2026Review
- A high-throughput modular microfluidic platform for versatile functional assays at single-cell level.Microsystems & nanoengineering · 2026Article
- High-sensitivity, protein-independent detection of dsDNA sequences.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Challenges and Opportunities in Multi-Omics Data Acquisition and Analysis: Toward Integrative Solutions.Biomolecules · 2026Review
- An expanded role for single-cell chemical genomics profiling in drug discovery.The Biochemical journal · 2026Review
- Single microorganism RNA sequencing of microbiomes using smRandom-Seq.Nature protocols · 2026Review
- Optoelectronic Tweezers for Single-Cell Research: Principles, Applications, and Prospects.Cyborg and bionic systems (Washington, D.C.) · 2026Review
- Single-cell sequencing technology in renal cancer: insights into tumor biology and clinical application.Biomarker research · 2025Review
- Enhancing cell characterization with microfluidics and AI: a comprehensive review of mechanical, electrical, and hybrid techniques.Biotechnology reports (Amsterdam, Netherlands) · 2025Review
- Aging on Chip: Harnessing the Potential of Microfluidic Technologies in Aging and Rejuvenation Research.Advanced healthcare materials · 2025Review
- Engineering next-generation microfluidic technologies for single-cell phenomics.Nature genetics · 2025Review
- DNA storage: The future direction for medical cold data storage.Synthetic and systems biotechnology · 2025Review
- Phenotypic plasticity and secretory heterogeneity in subpopulations derived from single cancer cell.Acta pharmaceutica Sinica. B · 2025Article
- Advances in Microfluidic Single-Cell RNA Sequencing and Spatial Transcriptomics.Micromachines · 2025Review
- Applications of Nanotechnology for Spatial Omics: Biological Structures and Functions at Nanoscale Resolution.ACS nano · 2025Review
- Progress of single-cell sequencing technology in immunotherapy for tuberculosis.Frontiers in cellular and infection microbiology · 2025Review
- Unravelling lipid heterogeneity: Advances in single-cell lipidomics in cellular metabolism and disease.BBA advances · 2025Review
- scTrends: A living review of commercial single-cell and spatial 'omic technologies.Cell genomics · 2024Review
- Thermal bubble single-cell printing chip: High-throughput, wide-field, and efficient.Biomicrofluidics · 2024Article
- Single-cell mNature neuroscience · 2024Article
95 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
3 authors.
Funding
Abstract
Recent advances in cellular profiling have demonstrated substantial heterogeneity in the behaviour of cells once deemed 'identical', challenging fundamental notions of cell 'type' and 'state'. Not surprisingly, these findings have elicited substantial interest in deeply characterizing the diversity, interrelationships and plasticity among cellular phenotypes. To explore these questions, experimental platforms are needed that can extensively and controllably profile many individual cells. Here, microfluidic structures - whether valve-, droplet- or nanowell-based - have an important role because they can facilitate easy capture and processing of single cells and their components, reducing labour and costs relative to conventional plate-based methods while also improving consistency. In this article, we review the current state-of-the-art methodologies with respect to microfluidics for mammalian single-cell 'omics' and discuss challenges and future opportunities.
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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.