ArticleProceedings of the National Academy of Sciences of the United States of America2013
Dissecting genealogy and cell cycle as sources of cell-to-cell variability in MAPK signaling using high-throughput lineage tracking.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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.
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Who cites it
25 citing papers in PubMed, 49 citations in OpenAlex.
- Stochasticity in mammalian cell growth rates drives cell-to-cell variability independently of cell size and divisions.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Coupling and decoupling of the cell cycle from cell differentiation in development.Development (Cambridge, England) · 2025Review
- Exploring carbon source related localization and phosphorylation in the Snf1/Mig1 network using population and single cell-based approaches.Microbial cell (Graz, Austria) · 2024Article
- Fungi-on-a-Chip: microfluidic platforms for single-cell studies on fungi.FEMS microbiology reviews · 2022Review
- Cell region fingerprints enable highly precise single-cell tracking and lineage reconstruction.Nature methods · 2022Article
- Scalable and flexible inference framework for stochastic dynamic single-cell models.PLoS computational biology · 2022Article
- Rapid prototyping and design of cybergenetic single-cell controllers.Nature communications · 2021Article
- Article
- Mig1 localization exhibits biphasic behavior which is controlled by both metabolic and regulatory roles of the sugar kinases.Molecular genetics and genomics : MGG · 2020Article
- Cell-in-the-loop pattern formation with optogenetically emulated cell-to-cell signaling.Nature communications · 2020Article
- An Optogenetic Platform for Real-Time, Single-Cell Interrogation of Stochastic Transcriptional Regulation.Molecular cell · 2018Article
- Single-cell profiling screen identifies microtubule-dependent reduction of variability in signaling.Molecular systems biology · 2018Article
- Heritable stress response dynamics revealed by single-cell genealogy.Science advances · 2018Article
- NuA4 Lysine Acetyltransferase Complex Contributes to Phospholipid Homeostasis inG3 (Bethesda, Md.) · 2017Article
- A living vector field reveals constraints on galactose network induction in yeast.Molecular systems biology · 2017Article
- Microfluidic Platforms for Yeast-Based Aging Studies.Small (Weinheim an der Bergstrasse, Germany) · 2016Article
- Single-cell dynamics and variability of MAPK activity in a yeast differentiation pathway.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Versatile, simple-to-use microfluidic cell-culturing chip for long-term, high-resolution, time-lapse imaging.Analytical chemistry · 2015Article
- Stationary nanoliter droplet array with a substrate of choice for single adherent/nonadherent cell incubation and analysis.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Cellular noise suppression by the regulator of G protein signaling Sst2.Molecular cell · 2014Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
Abstract
Cells, even those having identical genotype, exhibit variability in their response to external stimuli. This variability arises from differences in the abundance, localization, and state of cellular components. Such nongenetic differences are likely heritable between successive generations and can also be influenced by processes such as cell cycle, age, or interplay between different pathways. To address the contribution of nongenetic heritability and cell cycle in cell-to-cell variability we developed a high-throughput and fully automated microfluidic platform that allows for concurrent measurement of gene expression, cell-cycle periods, age, and lineage information under a large number of temporally changing medium conditions and using multiple strains. We apply this technology to examine the role of nongenetic inheritance in cell heterogeneity of yeast pheromone signaling. Our data demonstrate that the capacity to respond to pheromone is passed across generations and that the strength of the response correlations between related cells is affected by perturbations in the signaling pathway. We observe that a ste50Δ mutant strain exhibits highly heterogeneous response to pheromone originating from a unique asymmetry between mother and daughter response. On the other hand, fus3Δ cells were found to exhibit an unusually high correlation between mother and daughter cells that arose from a combination of extended cell-cycle periods of fus3Δ mothers, and decreased cell-cycle modulation of the pheromone pathway. Our results contribute to the understanding of the origins of cell heterogeneity and demonstrate the importance of automated platforms that generate single-cell data on several parameters.
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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.