ArticleNature communications2018
Monitoring single-cell gene regulation under dynamically controllable conditions with integrated microfluidics and software.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 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.
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Who cites it
50 citing papers in PubMed.
- E. coli prepares for starvation by dramatically remodeling its proteome in the first hours after loss of nutrients.Molecular systems biology · 2026Article
- How channel elasticity enhances and directs flow in dendritic microfluidic networks.Microsystems & nanoengineering · 2025Article
- Essentialome-Wide Multigenerational Imaging Reveals Mechanistic Origins of Cell Growth Laws.bioRxiv : the preprint server for biology · 2025Article
- Harnessing Microfluidics for the Effective and Precise Synthesis of Advanced Materials.Micromachines · 2025Review
- Nonlinear memory in cell-division dynamics across species.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Growth rate controls the sensitivity of gene regulatory circuits.Science advances · 2025Article
- Resolving spatiotemporal dynamics in bacterial multicellular populations: approaches and challenges.Microbiology and molecular biology reviews : MMBR · 2025Review
- Live Imaging of Fission Yeast Single-Cell Lineages Using a Microfluidic Device.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Toxin-mediated depletion of NAD and NADP drives persister formation in a human pathogen.The EMBO journal · 2024Article
- Single-Cell Microfluidics: A Primer for Microbiologists.The journal of physical chemistry. B · 2024Review
- Elastin-like polypeptide coacervates as reversibly triggerable compartments for synthetic cells.Communications chemistry · 2024Article
- Scaling of stochastic growth and division dynamics: A comparative study of individual rod-shaped cells in the Mother Machine and SChemostat platforms.Molecular biology of the cell · 2024Article
- Yeast cell responses and survival during periodic osmotic stress are controlled by glucose availability.eLife · 2024Article
- Quantifying Dynamic Phenotypic Heterogeneity in Resistant Escherichia coli under Translation-Inhibiting Antibiotics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Microfluidic Giant Polymer Vesicles Equipped with Biopores for High-Throughput Screening of Bacteria.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- iCLOTS: open-source, artificial intelligence-enabled software for analyses of blood cells in microfluidic and microscopy-based assays.Nature communications · 2023Article
- High-Efficiency Single-Cell Containment Microdevices Based on Fluid Control.Micromachines · 2023Article
- Growth condition-dependent differences in methylation imply transiently differentiated DNA methylation states in Escherichia coli.G3 (Bethesda, Md.) · 2023Article
- Article
- Navigating Environmental Transitions: the Role of Phenotypic Variation in Bacterial Responses.mBio · 2022Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Much is still not understood about how gene regulatory interactions control cell fate decisions in single cells, in part due to the difficulty of directly observing gene regulatory processes in vivo. We introduce here a novel integrated setup consisting of a microfluidic chip and accompanying analysis software that enable long-term quantitative tracking of growth and gene expression in single cells. The dual-input Mother Machine (DIMM) chip enables controlled and continuous variation of external conditions, allowing direct observation of gene regulatory responses to changing conditions in single cells. The Mother Machine Analyzer (MoMA) software achieves unprecedented accuracy in segmenting and tracking cells, and streamlines high-throughput curation with a novel leveraged editing procedure. We demonstrate the power of the method by uncovering several novel features of an iconic gene regulatory program: the induction of Escherichia coli's lac operon in response to a switch from glucose to lactose.
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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.