Literature DB >> 30102873

Morphology-Based Analysis of Myoblasts for Prediction of Myotube Formation.

Kiyoshi Ishikawa1,2, Kei Yoshida1, Kei Kanie1, Kenji Omori2, Ryuji Kato1.   

Abstract

The development of new drugs depends on the efficiency of drug screening. Phenotype-based screening has attracted interest due to its considerable potency for the discovery of first-in-class drugs. In general, fluorescently labeled imagery is the leading technique for phenotype-based screening; however, there are growing requirements to understand total culture profiles, which are unclear after end-point assays. In this study, we demonstrate that morphology-based cellular evaluation of unlabeled cells is an efficient approach to evaluate myotube formation assays. One of our aims was to study the myogenic differentiation process in C2C12 cells to discern the differences between cellular responses to different medium conditions (serum concentrations and insulin dosages). Our results show that predictive morphological profiles that strongly correlate with myogenic differentiation can be generated from myotube images, even in the confluent stage. The differentiation rate after 14 days can be quantitatively predicted with the highest accuracy by means of images taken on days 0-11.5. In addition, for the application of our morphology-based cellular evaluation, the effect of cyclic guanosine monophosphate (cGMP) on myogenic differentiation was analyzed. Our results show that the quantitated morphological profile from these images can be an effective descriptor for analysis of the myotube-recovering effect of cGMP.

Entities:  

Keywords:  cGMP; cellular morphology; morphology-based analysis; myoblast differentiation

Mesh:

Substances:

Year:  2018        PMID: 30102873     DOI: 10.1177/2472555218793374

Source DB:  PubMed          Journal:  SLAS Discov        ISSN: 2472-5552            Impact factor:   3.341


  6 in total

1.  Label-free morphological sub-population cytometry for sensitive phenotypic screening of heterogenous neural disease model cells.

Authors:  Yuta Imai; Madoka Iida; Kei Kanie; Masahisa Katsuno; Ryuji Kato
Journal:  Sci Rep       Date:  2022-06-16       Impact factor: 4.996

2.  Involvement of natriuretic peptide system in C2C12 myocytes.

Authors:  Kiyoshi Ishikawa; Taiki Hara; Kana Kato; Takeshi Shimomura; Kenji Omori
Journal:  Mol Cell Biochem       Date:  2018-12-05       Impact factor: 3.396

3.  Operationalizing the Use of Biofabricated Tissue Models as Preclinical Screening Platforms for Drug Discovery and Development.

Authors:  Olive Jung; Min Jae Song; Marc Ferrer
Journal:  SLAS Discov       Date:  2021-07-16       Impact factor: 3.341

4.  The importance of scoring recognition fitness in spheroid morphological analysis for robust label-free quality evaluation.

Authors:  Kazuhide Shirai; Hirohito Kato; Yuta Imai; Mayu Shibuta; Kei Kanie; Ryuji Kato
Journal:  Regen Ther       Date:  2020-05-14       Impact factor: 3.419

5.  Intrinsic Myogenic Potential of Skeletal Muscle-Derived Pericytes from Patients with Myotonic Dystrophy Type 1.

Authors:  Cornelia Rosanne Maria Ausems; Renée Henrica Lamberta Raaijmakers; Walterus Johannes Antonius Adriana van den Broek; Marieke Willemse; Baziel Gerardus Maria van Engelen; Derick Gert Wansink; Hans van Bokhoven
Journal:  Mol Ther Methods Clin Dev       Date:  2019-09-12       Impact factor: 6.698

6.  nNOS-derived NO modulates force production and iNO-derived NO the excitability in C2C12-derived 3D tissue engineering skeletal muscle via different NO signaling pathways.

Authors:  Matias Mosqueira; Lisa-Mareike Scheid; Dominik Kiemel; Talisa Richardt; Mona Rheinberger; Dirk Ollech; Almut Lutge; Tim Heißenberg; Lena Pfitzer; Lisa Engelskircher; Umut Yildiz; Isabel Porth
Journal:  Front Physiol       Date:  2022-08-15       Impact factor: 4.755

  6 in total

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