scholarly journals Effects of topological constraints on the alignment and maturation of multinucleated myotubes

2021 ◽  
Author(s):  
Ki‐Young Song ◽  
Jorge C. Correia ◽  
Jorge L. Ruas ◽  
Ana I. Teixeira
Keyword(s):  
Topological Constraints ◽  
Multinucleated Myotubes

Matching gradient descriptors with topological constraints to characterise the crowd dynamics

2006 ◽  
Author(s):  
B. Zhan ◽  
P. Remagnino ◽  
S. Velastin ◽  
F. Bremond ◽  
M. Thonnat
Keyword(s):  
Topological Constraints ◽  
Crowd Dynamics

scholarly journals ModularBoost: an efficient network inference algorithm based on module decomposition

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Xinyu Li ◽  
Wei Zhang ◽  
Jianming Zhang ◽  
Guang Li
Keyword(s):  
Network Inference ◽  
Detection Methods ◽  
Inference Problem ◽  
Topological Constraints ◽  
Inference Algorithms ◽  
Module Detection ◽  
Series Expression ◽  
Gene Modules ◽  
Inference Methods ◽  
Complicated Task

Abstract Background Given expression data, gene regulatory network(GRN) inference approaches try to determine regulatory relations. However, current inference methods ignore the inherent topological characters of GRN to some extent, leading to structures that lack clear biological explanation. To increase the biophysical meanings of inferred networks, this study performed data-driven module detection before network inference. Gene modules were identified by decomposition-based methods. Results ICA-decomposition based module detection methods have been used to detect functional modules directly from transcriptomic data. Experiments about time-series expression, curated and scRNA-seq datasets suggested that the advantages of the proposed ModularBoost method over established methods, especially in the efficiency and accuracy. For scRNA-seq datasets, the ModularBoost method outperformed other candidate inference algorithms. Conclusions As a complicated task, GRN inference can be decomposed into several tasks of reduced complexity. Using identified gene modules as topological constraints, the initial inference problem can be accomplished by inferring intra-modular and inter-modular interactions respectively. Experimental outcomes suggest that the proposed ModularBoost method can improve the accuracy and efficiency of inference algorithms by introducing topological constraints.

scholarly journals Topological constraints in the reconnection of vortex braids

2021 ◽  
Vol 33 (5) ◽  
pp. 056101
Author(s):  
S. Candelaresi ◽  
G. Hornig ◽  
B. Podger ◽  
D. I. Pontin
Keyword(s):  
Topological Constraints

Clustering of random networks under topological constraints

2015 ◽  
Author(s):  
Minas Hovhannisyan ◽  
Svetlana Avetisyan
Keyword(s):  
Random Networks ◽  
Topological Constraints

Medium-range topological constraints in binary phosphate glasses

2013 ◽  
Vol 138 (24) ◽  
pp. 244507 ◽  
Author(s):  
B. P. Rodrigues ◽  
L. Wondraczek
Keyword(s):  
Phosphate Glasses ◽  
Topological Constraints ◽  
Medium Range

SANS Investigations of Topological Constraints in Networks Made from Triblock Copolymers

1996 ◽  
Vol 29 (19) ◽  
pp. 6165-6174 ◽  
Author(s):  
S. Westermann ◽  
V. Urban ◽  
W. Pyckhout-Hintzen ◽  
D. Richter ◽  
E. Straube
Keyword(s):  
Triblock Copolymers ◽  
Topological Constraints

scholarly journals Expression of the MyoD1 muscle determination gene defines differentiation capability but not tumorigenicity of human rhabdomyosarcomas.

1989 ◽  
Vol 9 (11) ◽  
pp. 4722-4730 ◽  
Author(s):  
A L Hiti ◽  
E Bogenmann ◽  
F Gonzales ◽  
P A Jones
Keyword(s):  
Tumor Cell ◽  
Cell Lines ◽  
Cell Types ◽  
Chain Gene ◽  
Tumor Cell Lines ◽  
Myosin Heavy Chain Gene ◽  
Mouse Muscle ◽  
Primary Explants ◽  
Rhabdomyosarcoma Cell ◽  
Multinucleated Myotubes

Several human rhabdomyosarcoma cell lines, cultured primary tumor explants, and biopsies of tumor and normal skeletal muscle tissue expressed a 2.0-kilobase transcript that hybridized to the mouse muscle determination gene MyoD1. This transcript was found in tumor cell lines and primary explants that developed multinucleated myotubes but was absent in Wilms' tumors or cell lines and primary explants that developed multinucleated myotubes but was absent in Wilms' tumors or cell lines derived from other mesenchymal tumor cell types. Expression of the human homolog of MyoD1 therefore can define a tumor as a rhabdomyosarcoma. Transfection of the mouse MyoD1 gene into the human rhabdomyosarcoma cell line RD increased the ability of the tumor cells to differentiate into multinucleated myotubes and enhanced myosin heavy-chain gene expression but did not decrease tumorigenicity in nude mice.

scholarly journals Silencing of Mustn1 inhibits myogenic fusion and differentiation

2010 ◽  
Vol 298 (5) ◽  
pp. C1100-C1108 ◽  
Author(s):  
Cheng Liu ◽  
Robert P. Gersch ◽  
Thomas J. Hawke ◽  
Michael Hadjiargyrou
Keyword(s):  
Skeletal Muscles ◽  
Callus Tissue ◽  
Myogenic Differentiation ◽  
Myoblast Differentiation ◽  
Pcr Analysis ◽  
Fracture Callus ◽  
And Function ◽  
Multinucleated Myotubes ◽  
Myhc Expression

Mustn1 (Mustang, musculoskeletal temporally activated novel gene) was originally identified in fracture callus tissue, but its greatest expression is detected in skeletal muscle. Thus, we conducted experiments to investigate the expression and function of Mustn1 during myogenesis. Temporally, quantitative real-time PCR analysis of muscle samples from embryonic day 17 to 12 mo of age reveals that Mustn1 mRNA expression is greatest at 3 mo of age and beyond, consistent with the expression pattern of Myod. In situ hybridization shows abundant Mustn1 expression in somites and developing skeletal muscles, while in adult muscle, Mustn1 is localized to some peripherally located nuclei. Using RNA interference (RNAi), we investigated the function of Mustn1 in C2C12 myoblasts. Though silencing Mustn1 mRNA had no effect on myoblast proliferation, it did significantly impair myoblast differentiation, preventing myofusion. Specifically, when placed in low-serum medium for up to 6 days, Mustn1-silenced myoblasts elongated poorly and were mononucleated. In contrast, control RNAi-treated and parental myoblasts presented as large, multinucleated myotubes. Further supporting the morphological observations, immunocytochemistry of Mustn1-silenced cells demonstrated significant reductions in myogenin (Myog) and myosin heavy chain (Myhc) expression at 4 and 6 days of differentiation as compared with control and parental cells. The decreases in Myog and Myhc protein expression in Mustn1-silenced cells were associated with robust (∼3-fold or greater) decreases in the expression of Myod and desmin ( Des), as well as the myofusion markers calpain 1 ( Capn1), caveolin 3 ( Cav3), and cadherin 15 (M-cadherin; Cadh15). Overall, we demonstrate that Mustn1 is an essential regulator of myogenic differentiation and myofusion, and our findings implicate Myod and Myog as its downstream targets.

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