scholarly journals High-throughput data-driven analysis of myofiber composition reveals muscle-specific disease and age-associated patterns

2018 ◽  
Author(s):  
Vered Raz ◽  
Yotam Raz ◽  
Davy van de Vijver ◽  
Davide Bindellini ◽  
Maaike van Putten ◽  
...  
Keyword(s):  
High Throughput ◽  
Muscle Function ◽  
Age Groups ◽  
Data Driven ◽  
Muscle Type ◽  
Muscle Involvement ◽  
High Throughput Data ◽  
Myhc Isoforms ◽  
Visual Assessments ◽  
Two Age Groups

Contractile properties of myofibers are dictated by the abundance of myosin heavy chain (MyHC) isoforms. MyHC composition designates muscle function and its alterations could unravel differential muscle involvement in muscular dystrophies and aging. Current analyses are limited to visual assessments in which myofibers expressing multiple MyHC isoforms are prone to misclassifications. As a result, complex patterns and subtle alterations are unidentified. We developed a high-throughput data-driven myofiber analysis to quantitatively describe the variations in myofibers across the muscle. We investigated alterations in myofiber composition between genotypes, two muscles and two age groups. We show that this analysis facilitates the discovery of complex myofiber compositions and its dependency on age, muscle type and genetic conditions.

scholarly journals High-throughput data-driven interface design of high-energy-density polymer nanocomposites

2020 ◽  
Vol 6 (3) ◽  
pp. 573-581 ◽  
Author(s):  
Zhong-Hui Shen ◽  
Yang Shen ◽  
Xiao-Xing Cheng ◽  
Han-Xing Liu ◽  
Long-Qing Chen ◽  
...  
Keyword(s):  
Energy Density ◽  
Polymer Nanocomposites ◽  
High Throughput ◽  
Interface Design ◽  
High Energy ◽  
High Energy Density ◽  
Data Driven ◽  
High Throughput Data

A data-driven analysis of fiber type architecture over the entire muscle

2020 ◽  
Author(s):  
Davide Bindellini ◽  
Lenard M. Voortman ◽  
Cyriel S. Olie ◽  
Maaike van Putten ◽  
Erik van den Akker ◽  
...  
Keyword(s):  
Cross Sections ◽  
Muscle Function ◽  
Neuromuscular Junctions ◽  
Fiber Type ◽  
Data Driven ◽  
Geometric Features ◽  
Skeletal Muscle Function ◽  
Myhc Isoforms ◽  
Median Region ◽  
Local Sampling

Abstract Background Skeletal muscle function is inferred from the spatial arrangement of muscle fibers architecture, which corresponds to myofiber molecular and metabolic features. Myofiber types can be distinguished by the expression of myosin heavy chain (MyHC) isoforms, representing contraction properties. In most studies, myofiber typing is determined from a local sampling, typically obtained from the muscle median region. This median region is assumed to represent the entire muscle. However, it remains largely unknown to what extent this local sampling represents the entire muscle. Methods We present here a pipeline to study the architecture of muscle fiber type over the entire muscle, from sectioning, staining, imaging to image quantification and data-driven analysis. Results We reconstructed muscle architecture from consecutive cross-sections stained for laminin and MyHC isoforms. Examining the entire muscle using consecutive cross-sections is extremely laborious, we provide consideration to reduce dataset and yet to cover the entire muscle. Analyses of over 15,000 myofibers, showed spatial variations in myofiber geometric features, myofiber type and the distribution of neuromuscular junctions along the entire muscle. Conclusions We suggest that asymmetric spatial distribution of myofiber types, geometric features of myofibers and the neuromuscular junctions along the muscle could affect muscle function. Therefore, instead of a single sampling from a median region, representative regions covering the entire muscle should be investigated in future studies.

scholarly journals Proteome-wide inference of protein kinase regulatory circuits

2019 ◽  
Author(s):  
Brandon M. Invergo ◽  
Borgthor Petursson ◽  
David Bradley ◽  
Girolamo Giudice ◽  
Evangelia Petsalaki ◽  
...  
Keyword(s):  
Protein Kinase ◽  
High Throughput ◽  
Intracellular Signaling ◽  
Structural Information ◽  
Data Driven ◽  
High Throughput Data ◽  
Regulatory Circuits ◽  
Human Kinase ◽  
Kinase Specificity ◽  
Full Network

SummaryComplex networks of regulatory relationships between protein kinases comprise a major component of intracellular signaling. Although many kinase-kinase regulatory relationships have been described in detail, these are biased towards well-studied kinases while the majority of possible relationships remains unexplored. Here, we implement data-driven, unbiased methods to predict human kinase-kinase regulatory relationships and whether they have activating or inhibiting effects. We incorporate high-throughput data, kinase specificity profiles, and structural information to produce our predictions. The results successfully recapitulate previously annotated regulatory relationships and can reconstruct known signaling pathways from the ground up. The full network of predictions is relatively sparse, with the vast majority of relationships assigned low probabilities. However, it nevertheless suggests denser modes of inter-kinase regulation than normally considered in intracellular signaling research.

scholarly journals High‐throughput data‐driven analysis of myofiber composition reveals muscle‐specific disease and age‐associated patterns

2018 ◽  
Vol 33 (3) ◽  
pp. 4046-4053 ◽  
Author(s):  
Vered Raz ◽  
Yotam Raz ◽  
Davy Vijver ◽  
Davide Bindellini ◽  
Maaike Putten ◽  
...  
Keyword(s):  
High Throughput ◽  
Data Driven ◽  
High Throughput Data ◽  
Specific Disease

scholarly journals DeDaL: Cytoscape 3.0 app for producing and morphing data-driven and structure-driven network layouts

2015 ◽  
Author(s):  
Urszula Czerwinska ◽  
Laurence Calzone ◽  
Emmanuel Barillot ◽  
Andrei Zinovyev
Keyword(s):  
High Throughput ◽  
Biological Networks ◽  
Biological Network ◽  
Data Driven ◽  
Multidimensional Data ◽  
High Throughput Data ◽  
Analysis Task ◽  
Structural Network ◽  
Linear Algorithms ◽  
Processing Steps

Visualization and analysis of molecular profiling data together with biological networks are able to provide new mechanistical insights into biological functions. Currently, high-throughput data are usually visualized on top of predefined network layouts which are not always adapted to a given data analysis task. We developed a Cytoscape app which allows to construct biological network layouts based on the data from molecular profiles imported as values of nodes attributes. DeDaL is a Cytoscape 3.0 app which uses linear and non-linear algorithms of dimension reduction to produce data-driven network layouts based on multidimensional data (typically gene expression). DeDaL implements several data pre-processing and layout post-processing steps such as continuous morphing between two arbitrary network layouts and aligning one network layout with respect to another one by rotating and mirroring. Combining these possibilities facilitates creating insightful network layouts representing both structural network features and the correlation patterns in multivariate data. DeDaL is the first method allowing to construct biological network layouts from high-throughput data. DeDaL is freely available for downloading together with step-by-step tutorial at http://bioinfo-out.curie.fr/projects/dedal/.

Concordance of Glucose-Based and of HbA1c-Based Diagnoses of Diabetes in Patients with Peripheral Artery Disease—A Comparison between Two Age Groups

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1522-P
Author(s):  
CHRISTOPH H. SAELY ◽  
ALEXANDER VONBANK ◽  
CHRISTINE HEINZLE ◽  
DANIELA ZANOLIN ◽  
BARBARA LARCHER ◽  
...  
Keyword(s):  
Peripheral Artery Disease ◽  
Age Groups ◽  
Peripheral Artery ◽  
Artery Disease ◽  
Two Age Groups

Foundation for the Prevention and Pathological Aspects of Diseases of the Mucous Membranes of the Oral Cavity (Review)

2020 ◽  
Vol 3 (6) ◽  
pp. 8-11
Author(s):  
Bakaev Zh. N.
Keyword(s):  
Oral Cavity ◽  
Rural Women ◽  
Rural Areas ◽  
Southern China ◽  
Age Groups ◽  
Urban Residents ◽  
Volgograd Region ◽  
Mucous Membranes ◽  
The Russian Federation ◽  
Two Age Groups

According to the authors, the prevalence of SOPR diseases is from 3 to 20%.In a study of 1573 residents of southern China in two age groups who use tobacco and alcohol, the incidence of SOPR was higher among men living in rural areas compared to urban residents. Among women aged 35-44 years, the incidence was higher in urban women, and in the 65-77-year-old group in rural women. In the course of studies in Brazil, among 335 patients older than 60 years, 646 diseases of the SOPR were identified. Similar results were obtained in the analysis of SOPR diseases in the Volgograd region of the Russian Federation

Internet Sex discourse and porn viewing by Arab adolescents: The overt and the covert and its impact on their sexual education and behavior (Preprint)

2018 ◽  
Author(s):  
Anat Gesser-Edelsburg ◽  
Munawar Abed Elhadi
Keyword(s):  
Age Groups ◽  
Sexual Education ◽  
The Internet ◽  
Traditional Values ◽  
Sexual Discourse ◽  
Cultural Taboos ◽  
Internet Sex ◽  
And Behavior ◽  
Depth Interviews ◽  
Two Age Groups

BACKGROUND Due to the religious proscription, it was found that Arab youths acquire information and view pornography secretly. The internet exposes them to contents that contradict religious and cultural taboos. There are few studies about viewing habits of sexual contents among Arab adolescents and about the way they discuss sexuality. OBJECTIVE to characterize the barriers and difficulties that prevent sexual discourse in Arab society and enable pornography viewing, according to the perceptions of adolescents and mothers. METHODS phenomological qualitative research methods, in-depth interviews with 40 participants. 20 Arab adolescents, sampled by two age groups: 14-16 and 16-18. In addition, 20 mothers of adolescents from both sexes were interviewed. RESULTS The findings indicate that mothers “turn a blind eye” to porn viewing and sexual activity by boys, versus a sweeping prohibition and denial of such behavior by girls. The boys reported viewing porn routinely, whereas girls denied doing so, but admitted that their girlfriends watched porn. The study also found that the boys have guilt feelings during and after the viewing as a result of the clash between modernity and traditional values. CONCLUSIONS It is necessary to find a way to encourage a significant sexual discourse to prevent the violent consequences of its absence in Arab society. A controlled, transparent and critical sexual discourse could help youth make more informed decisions concerning the search for sexual contents, porn viewing and sexual behavior.

Robust and Efficient Parametric Spectral Density Estimation for High-Throughput Data

Technometrics ◽  
2021 ◽  
pp. 1-22
Author(s):  
Martin Lysy ◽  
Feiyu Zhu ◽  
Bryan Yates ◽  
Aleksander Labuda
Keyword(s):  
Spectral Density ◽  
Density Estimation ◽  
High Throughput ◽  
Spectral Density Estimation ◽  
High Throughput Data
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