ReviewNature genetics2025
Engineering next-generation microfluidic technologies for single-cell phenomics.
Review in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- AI-orchestrated design-build-test-learn is the future of mammalian biodesign.Nature biomedical engineering · 2026Article
- Peptide Arrays as Tools for Unraveling Tumor Microenvironments and Drug Discovery in Oncology.Cells · 2026Review
- Decoding osteosarcoma from heterogeneity to precision therapy.Discover oncology · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The completion of the Human Genome Project catalyzed the development of 'omics' technologies, enabling the detailed exploration of biological systems at an unprecedented molecular scale. Microfluidics has transformed the omics toolbox by facilitating large-scale, high-throughput and highly accurate measurements of DNA and RNA, driving the transition from bulk to single-cell analyses. This transition has ushered in a new era, moving beyond a gene- and protein-centric perspective toward a holistic understanding of cellular phenotypes. This emerging 'single-cell phenomics era' integrates diverse omics datasets with spatial, morphological and temporal phenotypes to provide a comprehensive perspective on cellular function. This Review highlights how microfluidics addressed key challenges in the transition to single-cell omics and explores how lessons learned from these efforts will propel the single-cell phenomics revolution. Furthermore, we discuss emerging opportunities in which integrative single-cell phenomics could serve as a foundation for transformative discoveries in biology.
Indexed as
Identifiers
40457076What 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.