Non-random distribution of vacuoles inSchizosaccharomyces pombe

被引:3
|
作者
Chadwick, William L. [1 ,2 ]
Biswas, Sujoy K. [2 ,3 ]
Bianco, Simone [2 ,3 ]
Chan, Yee-Hung M. [1 ,2 ]
机构
[1] San Francisco State Univ, Dept Biol, San Francisco, CA 94132 USA
[2] Ctr Cellular Construct, Francisco Bay Area, CA 94158 USA
[3] IBM Almaden Res Ctr, Dept Ind & Appl Genom, AI & Cognit Software Org, San Jose, CA USA
关键词
organelle; machine learning; fission yeast; vacuole; FISSION YEAST-CELL; SIZE; GROWTH; ORGANELLES; DIVISION; KINASE;
D O I
10.1088/1478-3975/aba510
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
A central question in eukaryotic cell biology asks, during cell division, how is the growth and distribution of organelles regulated to ensure each daughter cell receives an appropriate amount. For vacuoles in budding yeast, there are well described organelle-to-cell size scaling trends as well as inheritance mechanisms involving highly coordinated movements. It is unclear whether such mechanisms are necessary in the symmetrically dividing fission yeast,Schizosaccharomyces pombe, in which random partitioning may be utilized to distribute vacuoles to daughter cells. To address the increasing need for high-throughput analysis, we are augmenting existing semi-automated image processing by developing fully automated machine learning methods for locating vacuoles and segmenting fission yeast cells from brightfield and fluorescence micrographs. All strains studied show qualitative correlations in vacuole-to-cell size scaling trends, i.e. vacuole volume, surface area, and number all increase with cell size. Furthermore, increasing vacuole number was found to be a consistent mechanism for the increase in total vacuole size in the cell. Vacuoles are not distributed evenly throughout the cell with respect to available cytoplasm. Rather, vacuoles show distinct peaks in distribution close to the nucleus, and this preferential localization was confirmed in mutants in which nucleus position is perturbed. Disruption of microtubules leads to quantitative changes in both vacuole size scaling trends and distribution patterns, indicating the microtubule cytoskeleton is a key mechanism for maintaining vacuole structure.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Non-random subcellular distribution of variant EKLF in erythroid cells
    Quadrini, Karen J.
    Gruzglin, Eugenia
    Bieker, James J.
    EXPERIMENTAL CELL RESEARCH, 2008, 314 (07) : 1595 - 1604
  • [22] Evidence for non-random distribution of Fcγ receptor genotype combinations
    van der Pol, WL
    Jansen, MD
    Sluiter, WJ
    van de Sluis, B
    Leppers-van de Straat, FGJ
    Kobayashi, T
    Westendorp, RGJ
    Huizinga, TWJ
    van de Winkel, JGJ
    IMMUNOGENETICS, 2003, 55 (04) : 240 - 246
  • [23] NON-RANDOM DISTRIBUTION OF BULL SPERMATOZOA IN A DROP OF SPERM SUSPENSION
    ROTHSCHILD
    NATURE, 1963, 198 (488) : 1221 - +
  • [24] Non-random distribution of weed species abundance in arable fields
    Borgy, B.
    Gaba, S.
    Petit, S.
    Reboud, X.
    WEED RESEARCH, 2012, 52 (04) : 383 - 389
  • [25] NON-RANDOM DISTRIBUTION OF BULL SPERMATOZOA IN A DROP OF SPERM SUSPENSION
    MAUDE, AD
    ROTHSCHILD
    NATURE, 1963, 200 (490) : 381 - +
  • [26] Non-Random Distribution of Reciprocal Translocation Breakpoints in the Pig Genome
    Donaldson, Brendan
    Villagomez, Daniel A. F.
    Revay, Tamas
    Rezaei, Samira
    King, W. Allan
    GENES, 2019, 10 (10)
  • [27] THE OVERLAP DISTRIBUTION FOR A NON-RANDOM FRUSTRATED ISING-MODEL
    NACHTERGAELE, B
    SLEGERS, L
    JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 1988, 21 (02): : 529 - 537
  • [28] NON-RANDOM DISTRIBUTION OF SENILE PLAQUES IN CEREBRAL-CORTEX
    KIRKPATRICK, JB
    JOURNAL OF NEUROPATHOLOGY AND EXPERIMENTAL NEUROLOGY, 1985, 44 (03): : 331 - 331
  • [29] Non-random distribution of macromolecules as driving forces for phenotypic variation
    Jahn, Michael
    Guenther, Susanne
    Mueller, Susann
    CURRENT OPINION IN MICROBIOLOGY, 2015, 25 : 49 - 55
  • [30] Random and Non-Random Monoallelic Expression
    Andrew Chess
    Neuropsychopharmacology, 2013, 38 : 55 - 61