ArticleLab on a chip2011
High-throughput tracking of single yeast cells in a microfluidic imaging matrix.
Article in Lab on a chip, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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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.
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
23 citing papers in PubMed.
- Tracking of lineage massLab on a chip · 2024Article
- Protocol to perform dynamic microfluidic single-cell cultivation of C. glutamicum.STAR protocols · 2023Article
- Determining growth rates from bright-field images of budding cells through identifying overlaps.eLife · 2023Article
- Fungi-on-a-Chip: microfluidic platforms for single-cell studies on fungi.FEMS microbiology reviews · 2022Review
- High-Throughput Methods in the Discovery and Study of Biomaterials and Materiobiology.Chemical reviews · 2021Review
- Inactivating histone deacetylase HDA promotes longevity by mobilizing trehalose metabolism.Nature communications · 2021Article
- Using time-lapse fluorescence microscopy to study gene regulation.Methods (San Diego, Calif.) · 2019Review
- An integrated microfluidic device for the sorting of yeast cells using image processing.Scientific reports · 2018Article
- Microfluidic Platforms for Yeast-Based Aging Studies.Small (Weinheim an der Bergstrasse, Germany) · 2016Article
- High-throughput analysis of yeast replicative aging using a microfluidic system.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- Review of methods to probe single cell metabolism and bioenergetics.Metabolic engineering · 2015Review
- A microfluidic system for studying ageing and dynamic single-cell responses in budding yeast.PloS one · 2014Article
- Article
- Unidirectional P-body transport during the yeast cell cycle.PloS one · 2014Article
- Dissecting genealogy and cell cycle as sources of cell-to-cell variability in MAPK signaling using high-throughput lineage tracking.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Tracking shallow chemical gradients by actin-driven wandering of the polarization site.Current biology : CB · 2013Article
- On the limitations of biological knowledge.Current genomics · 2012Article
- Optofluidic detection for cellular phenotyping.Lab on a chip · 2012Review
- Whole lifespan microscopic observation of budding yeast aging through a microfluidic dissection platform.Proceedings of the National Academy of Sciences of the United States of America · 2012Article
- Micro total analysis systems for cell biology and biochemical assays.Analytical chemistry · 2012Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Time-lapse live cell imaging is a powerful tool for studying signaling network dynamics and complexity and is uniquely suited to single cell studies of response dynamics, noise, and heritable differences. Although conventional imaging formats have the temporal and spatial resolution needed for such studies, they do not provide the simultaneous advantages of cell tracking, experimental throughput, and precise chemical control. This is particularly problematic for system-level studies using non-adherent model organisms such as yeast, where the motion of cells complicates tracking and where large-scale analysis under a variety of genetic and chemical perturbations is desired. We present here a high-throughput microfluidic imaging system capable of tracking single cells over multiple generations in 128 simultaneous experiments with programmable and precise chemical control. High-resolution imaging and robust cell tracking are achieved through immobilization of yeast cells using a combination of mechanical clamping and polymerization in an agarose gel. The channel and valve architecture of our device allows for the formation of a matrix of 128 integrated agarose gel pads, each allowing for an independent imaging experiment with fully programmable medium exchange via diffusion. We demonstrate our system in the combinatorial and quantitative analysis of the yeast pheromone signaling response across 8 genotypes and 16 conditions, and show that lineage-dependent effects contribute to observed variability at stimulation conditions near the critical threshold for cellular decision making.
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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.