ArticleProceedings of the National Academy of Sciences of the United States of America2009
Tracking lineages of single cells in lines using a microfluidic device.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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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.
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Who cites it
48 citing papers in PubMed, 120 citations in OpenAlex.
- Single-cell Technology in Stem Cell Research.Current stem cell research & therapy · 2025Review
- Quantitative Characterization of Gene Regulatory Circuits Associated With Fungal Secondary Metabolism to Discover Novel Natural Products.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Single-Cell Microfluidics: A Primer for Microbiologists.The journal of physical chemistry. B · 2024Review
- Single-Cell Proliferation Microfluidic Device for High Throughput Investigation of Replicative Potential and Drug Resistance of Cancer Cells.Cellular and molecular bioengineering · 2023Article
- Three-Dimensional Printing Enabled Droplet Microfluidic Device for Real-Time Monitoring of Single-Cell Viability and Blebbing Activity.Micromachines · 2023Article
- High-Efficiency Single-Cell Containment Microdevices Based on Fluid Control.Micromachines · 2023Article
- Reliable cell retention of mammalian suspension cells in microfluidic cultivation chambers.Scientific reports · 2023Article
- Fungi-on-a-Chip: microfluidic platforms for single-cell studies on fungi.FEMS microbiology reviews · 2022Review
- Capillary-Driven Flow Microfluidics Combined with Smartphone Detection: An Emerging Tool for Point-of-Care Diagnostics.Diagnostics (Basel, Switzerland) · 2020Review
- DropSOAC: Stabilizing Microfluidic Drops for Time-Lapse Quantification of Single-Cell Bacterial Physiology.Frontiers in microbiology · 2019Article
- Multimodal microfluidic platform for controlled culture and analysis of unicellular organisms.Biomicrofluidics · 2017Article
- High-throughput single-cell analysis for the proteomic dynamics study of the yeast osmotic stress response.Scientific reports · 2017Article
- An on-chip imaging droplet-sorting system: a real-time shape recognition method to screen target cells in droplets with single cell resolution.Scientific reports · 2017Article
- Microfluidic technologies for yeast replicative lifespan studies.Mechanisms of ageing and development · 2017Review
- Microalgae in Microwell Arrays Exhibit Differences with Those in Flasks: Evidence from Growth Rate, Cellular Carotenoid, and Oxygen Production.Frontiers in plant science · 2017Article
- Microfluidic Platforms for Yeast-Based Aging Studies.Small (Weinheim an der Bergstrasse, Germany) · 2016Article
- Microfluidics for Antibiotic Susceptibility and Toxicity Testing.Bioengineering (Basel, Switzerland) · 2016Review
- Label-free isolation and deposition of single bacterial cells from heterogeneous samples for clonal culturing.Scientific reports · 2016Article
- Self-Driven Jamming in Growing Microbial Populations.Nature physics · 2016Article
- Single cell-resolution western blotting.Nature protocols · 2016Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Cells within a genetically identical population exhibit phenotypic variation that in some cases can persist across multiple generations. However, information about the temporal variation and familial dependence of protein levels remains hidden when studying the population as an ensemble. To correlate phenotypes with the age and genealogy of single cells over time, we developed a microfluidic device that enables us to track multiple lineages in parallel by trapping single cells and constraining them to grow in lines for as many as 8 divisions. To illustrate the utility of this method, we investigate lineages of cells expressing one of 3 naturally regulated proteins, each with a different representative expression behavior. Within lineages deriving from single cells, we observe genealogically related clusters of cells with similar phenotype; cluster sizes vary markedly among the 3 proteins, suggesting that the time scale of phenotypic persistence is protein-specific. Growing lines of cells also allows us to dynamically track temporal fluctuations in protein levels at the same time as pedigree relationships among the cells as they divide in the chambers. We observe bursts in expression levels of the heat shock protein Hsp12-GFP that occur simultaneously in mother and daughter cells. In contrast, the ribosomal protein Rps8b-GFP shows relatively constant levels of expression over time. This method is an essential step toward understanding the time scales of phenotypic variation and correlations in phenotype among single cells within a population.
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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.