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1.
J Cell Sci ; 132(21)2019 11 08.
Artigo em Inglês | MEDLINE | ID: mdl-31558680

RESUMO

Cells depend on a highly ordered organisation of their content and must develop strategies to maintain the anisotropic distribution of organelles during periods of nutrient shortage. One of these strategies is to solidify the cytoplasm, which was observed in bacteria and yeast cells with acutely interrupted energy production. Here, we describe a different type of cytoplasm solidification fission yeast cells switch to, after having run out of nutrients during multiple days in culture. It provides the most profound reversible cytoplasmic solidification of yeast cells described to date. Our data exclude the previously proposed mechanisms for cytoplasm solidification in yeasts and suggest a mechanism that immobilises cellular components in a size-dependent manner. We provide experimental evidence that, in addition to time, cells use intrinsic nutrients and energy sources to reach this state. Such cytoplasmic solidification may provide a robust means to protect cellular architecture in dormant cells.


Assuntos
Citoplasma/patologia , Nutrientes/metabolismo , Inanição/metabolismo , Vacúolos/patologia , Autofagia/fisiologia , Citoplasma/metabolismo , Saccharomyces cerevisiae , Proteínas de Saccharomyces cerevisiae , Schizosaccharomyces , Inanição/patologia , Vacúolos/metabolismo
2.
Biol Open ; 8(1)2019 Jan 02.
Artigo em Inglês | MEDLINE | ID: mdl-30602528

RESUMO

Using correlative light and electron microscopy (CLEM), we studied the intracellular organization by of glucose-starved fission yeast cells (Schizosaccharomyces pombe) with regards to the localization of septin proteins throughout the cytoplasm. Thereby, we found that for cells carrying a deletion of the gene encoding septin-2 (spn2Δ), starvation causes a GFP-tagged version of septin-3 (spn3-GFP) and family members, to assemble into a single, prominent filamentous structure. It was previously shown that during exponential growth, spn2Δ cells form septin-3 polymers. However, the polymers we observed during exponential growth are different from the spn3p-GFP structure we observed in starved cells. Using CLEM, in combination with anti-GFP immunolabeling on plastic-sections, we could assign spn3p-GFP to the filaments we have found in EM pictures. Besides septin-3, these filamentous assemblies most likely also contain septin-1 as an RFP-tagged version of this protein forms a very similar structure in starved spn2Δ cells. Our data correlate phase-contrast and fluorescence microscopy with electron micrographs of plastic-embedded cells, and further on with detailed views of tomographic 3D reconstructions. Cryo-electron microscopy of spn2Δ cells in vitrified sections revealed a very distinct overall morphology of the spn3p-GFP assembly. The fine-structured, regular density pattern suggests the presence of assembled septin-3 filaments that are clearly different from F-actin bundles. Furthermore, we found that starvation causes substantial mitochondria fission, together with massive decoration of their outer membrane by ribosomes.

3.
Elife ; 4: 05864, 2015 May 06.
Artigo em Inglês | MEDLINE | ID: mdl-25946108

RESUMO

Morphogenesis emerges from complex multiscale interactions between genetic and mechanical processes. To understand these processes, the evolution of cell shape, proliferation and gene expression must be quantified. This quantification is usually performed either in full 3D, which is computationally expensive and technically challenging, or on 2D planar projections, which introduces geometrical artifacts on highly curved organs. Here we present MorphoGraphX ( www.MorphoGraphX.org), a software that bridges this gap by working directly with curved surface images extracted from 3D data. In addition to traditional 3D image analysis, we have developed algorithms to operate on curved surfaces, such as cell segmentation, lineage tracking and fluorescence signal quantification. The software's modular design makes it easy to include existing libraries, or to implement new algorithms. Cell geometries extracted with MorphoGraphX can be exported and used as templates for simulation models, providing a powerful platform to investigate the interactions between shape, genes and growth.


Assuntos
Algoritmos , Arabidopsis/ultraestrutura , Processamento de Imagem Assistida por Computador/métodos , Imageamento Tridimensional/métodos , Software , Animais , Anisotropia , Arabidopsis/genética , Arabidopsis/crescimento & desenvolvimento , Cassia/genética , Cassia/crescimento & desenvolvimento , Cassia/ultraestrutura , Proliferação de Células , Forma Celular , Drosophila melanogaster/genética , Drosophila melanogaster/crescimento & desenvolvimento , Drosophila melanogaster/ultraestrutura , Flores/genética , Flores/crescimento & desenvolvimento , Flores/ultraestrutura , Frutas/genética , Frutas/crescimento & desenvolvimento , Frutas/ultraestrutura , Expressão Gênica , Processamento de Imagem Assistida por Computador/estatística & dados numéricos , Imageamento Tridimensional/instrumentação , Imageamento Tridimensional/estatística & dados numéricos , Solanum lycopersicum/genética , Solanum lycopersicum/crescimento & desenvolvimento , Solanum lycopersicum/ultraestrutura , Microscopia Confocal , Microtúbulos/genética , Microtúbulos/ultraestrutura , Morfogênese/genética , Desenvolvimento Vegetal/genética , Imagem com Lapso de Tempo/instrumentação , Imagem com Lapso de Tempo/métodos , Imagem com Lapso de Tempo/estatística & dados numéricos
4.
Development ; 139(17): 3221-31, 2012 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-22833127

RESUMO

The regulation of organ size constitutes a major unsolved question in developmental biology. The wing imaginal disc of Drosophila serves as a widely used model system to study this question. Several mechanisms have been proposed to have an impact on final size, but they are either contradicted by experimental data or they cannot explain a number of key experimental observations and may thus be missing crucial elements. We have modeled a regulatory network that integrates the experimentally confirmed molecular interactions underlying other available models. Furthermore, the network includes hypothetical interactions between mechanical forces and specific growth regulators, leading to a size regulation mechanism that conceptually combines elements of existing models, and can be understood in terms of a compression gradient model. According to this model, compression increases in the center of the disc during growth. Growth stops once compression levels in the disc center reach a certain threshold and the compression gradient drops below a certain level in the rest of the disc. Our model can account for growth termination as well as for the paradoxical observation that growth occurs uniformly in the presence of a growth factor gradient and non-uniformly in the presence of a uniform growth factor distribution. Furthermore, it can account for other experimental observations that argue either in favor or against other models. The model also makes specific predictions about the distribution of cell shape and size in the developing disc, which we were able to confirm experimentally.


Assuntos
Drosophila/crescimento & desenvolvimento , Discos Imaginais/crescimento & desenvolvimento , Modelos Biológicos , Transdução de Sinais/fisiologia , Asas de Animais/crescimento & desenvolvimento , Animais , Fenômenos Biomecânicos , Forma Celular/fisiologia , Simulação por Computador , Discos Imaginais/citologia , Tamanho do Órgão/fisiologia , Pressão
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