Cargando…
Single‐cell profiling screen identifies microtubule‐dependent reduction of variability in signaling
Populations of isogenic cells often respond coherently to signals, despite differences in protein abundance and cell state. Previously, we uncovered processes in the Saccharomyces cerevisiae pheromone response system (PRS) that reduced cell‐to‐cell variability in signal strength and cellular respons...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5884679/ https://www.ncbi.nlm.nih.gov/pubmed/29618636 http://dx.doi.org/10.15252/msb.20167390 |
_version_ | 1783311863560273920 |
---|---|
author | Pesce, C Gustavo Zdraljevic, Stefan Peria, William J Bush, Alan Repetto, María Victoria Rockwell, Daniel Yu, Richard C Colman‐Lerner, Alejandro Brent, Roger |
author_facet | Pesce, C Gustavo Zdraljevic, Stefan Peria, William J Bush, Alan Repetto, María Victoria Rockwell, Daniel Yu, Richard C Colman‐Lerner, Alejandro Brent, Roger |
author_sort | Pesce, C Gustavo |
collection | PubMed |
description | Populations of isogenic cells often respond coherently to signals, despite differences in protein abundance and cell state. Previously, we uncovered processes in the Saccharomyces cerevisiae pheromone response system (PRS) that reduced cell‐to‐cell variability in signal strength and cellular response. Here, we screened 1,141 non‐essential genes to identify 50 “variability genes”. Most had distinct, separable effects on strength and variability of the PRS, defining these quantities as genetically distinct “axes” of system behavior. Three genes affected cytoplasmic microtubule function: BIM1, GIM2, and GIM4. We used genetic and chemical perturbations to show that, without microtubules, PRS output is reduced but variability is unaffected, while, when microtubules are present but their function is perturbed, output is sometimes lowered, but its variability is always high. The increased variability caused by microtubule perturbations required the PRS MAP kinase Fus3 and a process at or upstream of Ste5, the membrane‐localized scaffold to which Fus3 must bind to be activated. Visualization of Ste5 localization dynamics demonstrated that perturbing microtubules destabilized Ste5 at the membrane signaling site. The fact that such microtubule perturbations cause aberrant fate and polarity decisions in mammals suggests that microtubule‐dependent signal stabilization might also operate throughout metazoans. |
format | Online Article Text |
id | pubmed-5884679 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58846792018-04-09 Single‐cell profiling screen identifies microtubule‐dependent reduction of variability in signaling Pesce, C Gustavo Zdraljevic, Stefan Peria, William J Bush, Alan Repetto, María Victoria Rockwell, Daniel Yu, Richard C Colman‐Lerner, Alejandro Brent, Roger Mol Syst Biol Articles Populations of isogenic cells often respond coherently to signals, despite differences in protein abundance and cell state. Previously, we uncovered processes in the Saccharomyces cerevisiae pheromone response system (PRS) that reduced cell‐to‐cell variability in signal strength and cellular response. Here, we screened 1,141 non‐essential genes to identify 50 “variability genes”. Most had distinct, separable effects on strength and variability of the PRS, defining these quantities as genetically distinct “axes” of system behavior. Three genes affected cytoplasmic microtubule function: BIM1, GIM2, and GIM4. We used genetic and chemical perturbations to show that, without microtubules, PRS output is reduced but variability is unaffected, while, when microtubules are present but their function is perturbed, output is sometimes lowered, but its variability is always high. The increased variability caused by microtubule perturbations required the PRS MAP kinase Fus3 and a process at or upstream of Ste5, the membrane‐localized scaffold to which Fus3 must bind to be activated. Visualization of Ste5 localization dynamics demonstrated that perturbing microtubules destabilized Ste5 at the membrane signaling site. The fact that such microtubule perturbations cause aberrant fate and polarity decisions in mammals suggests that microtubule‐dependent signal stabilization might also operate throughout metazoans. John Wiley and Sons Inc. 2018-04-04 /pmc/articles/PMC5884679/ /pubmed/29618636 http://dx.doi.org/10.15252/msb.20167390 Text en © 2018 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Pesce, C Gustavo Zdraljevic, Stefan Peria, William J Bush, Alan Repetto, María Victoria Rockwell, Daniel Yu, Richard C Colman‐Lerner, Alejandro Brent, Roger Single‐cell profiling screen identifies microtubule‐dependent reduction of variability in signaling |
title | Single‐cell profiling screen identifies microtubule‐dependent reduction of variability in signaling |
title_full | Single‐cell profiling screen identifies microtubule‐dependent reduction of variability in signaling |
title_fullStr | Single‐cell profiling screen identifies microtubule‐dependent reduction of variability in signaling |
title_full_unstemmed | Single‐cell profiling screen identifies microtubule‐dependent reduction of variability in signaling |
title_short | Single‐cell profiling screen identifies microtubule‐dependent reduction of variability in signaling |
title_sort | single‐cell profiling screen identifies microtubule‐dependent reduction of variability in signaling |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5884679/ https://www.ncbi.nlm.nih.gov/pubmed/29618636 http://dx.doi.org/10.15252/msb.20167390 |
work_keys_str_mv | AT pescecgustavo singlecellprofilingscreenidentifiesmicrotubuledependentreductionofvariabilityinsignaling AT zdraljevicstefan singlecellprofilingscreenidentifiesmicrotubuledependentreductionofvariabilityinsignaling AT periawilliamj singlecellprofilingscreenidentifiesmicrotubuledependentreductionofvariabilityinsignaling AT bushalan singlecellprofilingscreenidentifiesmicrotubuledependentreductionofvariabilityinsignaling AT repettomariavictoria singlecellprofilingscreenidentifiesmicrotubuledependentreductionofvariabilityinsignaling AT rockwelldaniel singlecellprofilingscreenidentifiesmicrotubuledependentreductionofvariabilityinsignaling AT yurichardc singlecellprofilingscreenidentifiesmicrotubuledependentreductionofvariabilityinsignaling AT colmanlerneralejandro singlecellprofilingscreenidentifiesmicrotubuledependentreductionofvariabilityinsignaling AT brentroger singlecellprofilingscreenidentifiesmicrotubuledependentreductionofvariabilityinsignaling |