organelle distribution
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Nature ◽  
2021 ◽  
Author(s):  
Pengli Zheng ◽  
Christopher J. Obara ◽  
Ewa Szczesna ◽  
Jonathon Nixon-Abell ◽  
Kishore K. Mahalingan ◽  
...  

AbstractOrganelles move along differentially modified microtubules to establish and maintain their proper distributions and functions1,2. However, how cells interpret these post-translational microtubule modification codes to selectively regulate organelle positioning remains largely unknown. The endoplasmic reticulum (ER) is an interconnected network of diverse morphologies that extends promiscuously throughout the cytoplasm3, forming abundant contacts with other organelles4. Dysregulation of endoplasmic reticulum morphology is tightly linked to neurologic disorders and cancer5,6. Here we demonstrate that three membrane-bound endoplasmic reticulum proteins preferentially interact with different microtubule populations, with CLIMP63 binding centrosome microtubules, kinectin (KTN1) binding perinuclear polyglutamylated microtubules, and p180 binding glutamylated microtubules. Knockout of these proteins or manipulation of microtubule populations and glutamylation status results in marked changes in endoplasmic reticulum positioning, leading to similar redistributions of other organelles. During nutrient starvation, cells modulate CLIMP63 protein levels and p180–microtubule binding to bidirectionally move endoplasmic reticulum and lysosomes for proper autophagic responses.


2021 ◽  
Vol 26 (4) ◽  
pp. 230-239
Author(s):  
Kosuke Kamemura ◽  
Chun‐an Chen ◽  
Misako Okumura ◽  
Masayuki Miura ◽  
Takahiro Chihara

2021 ◽  
Vol 2 (1) ◽  
pp. 100273
Author(s):  
Tobias B. Dansen ◽  
Sasha De Henau

2021 ◽  
Vol 14 ◽  
Author(s):  
Amina Aboufares El Alaoui ◽  
Molly Jackson ◽  
Mara Fabri ◽  
Luisa de Vivo ◽  
Michele Bellesi

Perisynaptic astrocytic processes (PAPs) carry out several different functions, from metabolite clearing to control of neuronal excitability and synaptic plasticity. All these functions are likely orchestrated by complex cellular machinery that resides within the PAPs and relies on a fine interplay between multiple subcellular components. However, traditional transmission electron microscopy (EM) studies have found that PAPs are remarkably poor of intracellular organelles, failing to explain how such a variety of PAP functions are achieved in the absence of a proportional complex network of intracellular structures. Here, we use serial block-face scanning EM to reconstruct and describe in three dimensions PAPs and their intracellular organelles in two different mouse cortical regions. We described five distinct organelles, which included empty and full endosomes, phagosomes, mitochondria, and endoplasmic reticulum (ER) cisternae, distributed within three PAPs categories (branches, branchlets, and leaflets). The majority of PAPs belonged to the leaflets category (~60%), with branchlets representing a minority (~37%). Branches were rarely in contact with synapses (<3%). Branches had a higher density of mitochondria and ER cisternae than branchlets and leaflets. Also, branches and branchlets displayed organelles more frequently than leaflets. Endosomes and phagosomes, which accounted for more than 60% of all the organelles detected, were often associated with the same PAP. Likewise, mitochondria and ER cisternae, representing ~40% of all organelles were usually associated. No differences were noted between the organelle distribution of the somatosensory and the anterior cingulate cortex. Finally, the organelle distribution in PAPs did not largely depend on the presence of a spine apparatus or a pre-synaptic mitochondrion in the synapse that PAPs were enwrapping, with some exceptions regarding the presence of phagosomes and ER cisternae, which were slightly more represented around synapses lacking a spine apparatus and a presynaptic mitochondrion, respectively. Thus, PAPs contain several subcellular organelles that could underlie the diverse astrocytic functions carried out at central synapses.


2020 ◽  
pp. JN-RM-1316-20
Author(s):  
Amrita Mandal ◽  
Hiu-Tung C. Wong ◽  
Katherine Pinter ◽  
Natalie Mosqueda ◽  
Alisha Beirl ◽  
...  

2020 ◽  
Vol 185 ◽  
pp. 109476 ◽  
Author(s):  
Ming-Hong Sun ◽  
Xiao-Han Li ◽  
Yao Xu ◽  
Yi Xu ◽  
Zhen-Nan Pan ◽  
...  

Zygote ◽  
2020 ◽  
Vol 28 (4) ◽  
pp. 308-317
Author(s):  
Sofia Coelho ◽  
Ana Sílvia Pires-Luís ◽  
Elsa Oliveira ◽  
Ângela Alves ◽  
Carla Leal ◽  
...  

SummaryWe have previously presented a stereological analysis of organelle distribution in human prophase I oocytes. In the present study, using a similar stereological approach, we quantified the distribution of organelles in human metaphase I (MI) oocytes also retrieved after ovarian stimulation. Five MI oocytes were processed for transmission electron microscopy and a classical manual stereological technique based on point-counting with an adequate stereological grid was used. Kruskal–Wallis and Mann–Whitney U-tests with Bonferroni correction were used to compare the means of relative volumes (Vv) occupied by organelles. In all oocyte regions, the most abundant organelles were mitochondria and smooth endoplasmic reticulum (SER) elements. No significant differences were observed in Vv of mitochondria, dictyosomes, lysosomes, or SER small and medium vesicles, tubular aggregates and tubules. Significant differences were observed in other organelle distributions: cortical vesicles presented a higher Vv (P = 0.004) in the cortex than in the subcortex (0.96% vs 0.1%) or inner cytoplasm (0.96% vs 0.1%), vesicles with dense granular contents had a higher Vv (P = 0.005) in the cortex than in the subcortex (0.1% vs 0%), and SER large vesicles exhibited a higher Vv (P = 0.011) in the inner cytoplasm than in the subcortex (0.2% vs 0%). Future stereological analysis of metaphase II oocytes and a combined quantitative data of mature and immature oocytes, will enable a better understanding of oocyte organelle distribution during in vivo maturation. Combined with molecular approaches, this may help improve stimulation protocols and in vitro maturation methods.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Xing Duan ◽  
Yizeng Li ◽  
Kexi Yi ◽  
Fengli Guo ◽  
HaiYang Wang ◽  
...  

Development ◽  
2019 ◽  
Vol 146 (20) ◽  
pp. dev183616 ◽  
Author(s):  
Dandan Qin ◽  
Zheng Gao ◽  
Yi Xiao ◽  
Xiaoxin Zhang ◽  
Haixia Ma ◽  
...  

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