Literature DB >> 22439337

The transcriptomic signature of myostatin inhibitory influence on the differentiation of mouse C2C12 myoblasts.

Z Wicik1, T Sadkowski, M Jank, T Motyl.   

Abstract

GDF8 (myostatin) is a unique cytokine strongly affecting the skeletal muscle phenotype in human and animals. The aim of the present study was to elucidate the molecular mechanism of myostatin influence on the differentiation of mouse C2C12 myoblasts, using the global-transcriptome analysis with the DNA microarray technique. Treatment with exogenous GDF8 strongly affected the growth and development of C2C12 mouse myoblasts. This was manifested by the inhibition of proliferation and differentiation as well as the impairment of cell fusion. DNA microarray analysis revealed 778 genes regulated by GDF8 in differentiating myoblasts (436 down-regulated and 235 up-regulated). Ontological analysis revealed their involvement in 17 types of biological processes, 10 types of molecular functions and 68 different signalling pathways. The effect of GDF8 was mainly mediated by the disruption of the cell cycle, calcium and insulin signalling pathways and expression of cytoskeletal and muscle specific proteins. The identified key-genes that could play a role as GDF8 targets in differentiating myoblasts are: Mef2, Hgf, Ilbl, Itgb1, Edn1, Ppargc1a.

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Year:  2011        PMID: 22439337     DOI: 10.2478/v10181-011-0095-7

Source DB:  PubMed          Journal:  Pol J Vet Sci        ISSN: 1505-1773            Impact factor:   0.821


  9 in total

1.  Generation of Heritable Prominent Double Muscle Buttock Rabbits via Novel Site Editing of Myostatin Gene Using CRISPR/Cas9 System.

Authors:  Yalin Zheng; Yu Zhang; Liyan Wu; Hasan Riaz; Zhipeng Li; Deshun Shi; Saif Ur Rehman; Qingyou Liu; Kuiqing Cui
Journal:  Front Vet Sci       Date:  2022-05-20

2.  Network Analysis for the Identification of Differentially Expressed Hub Genes Using Myogenin Knock-down Muscle Satellite Cells.

Authors:  Adeel Malik; Eun Ju Lee; Arif Tasleem Jan; Sarafraz Ahmad; Kyung-Hyun Cho; Jihoe Kim; Inho Choi
Journal:  PLoS One       Date:  2015-07-22       Impact factor: 3.240

3.  Integrative data mining highlights candidate genes for monogenic myopathies.

Authors:  Osorio Abath Neto; Olivier Tassy; Valérie Biancalana; Edmar Zanoteli; Olivier Pourquié; Jocelyn Laporte
Journal:  PLoS One       Date:  2014-10-29       Impact factor: 3.240

4.  Transcriptomic profile adaptations following exposure of equine satellite cells to nutriactive phytochemical gamma-oryzanol.

Authors:  K A Szcześniak; A Ciecierska; P Ostaszewski; T Sadkowski
Journal:  Genes Nutr       Date:  2016-03-17       Impact factor: 5.523

5.  Molecular signatures of differential responses to exercise trainings during rehabilitation.

Authors:  Yi-Wen Chen; Chris Gregory; Fan Ye; Naoe Harafuji; Donovan Lott; San-Huei Lai; Sunita Mathur; Mark Scarborough; Parker Gibbs; Celine Baligand; Krista Vandenborne
Journal:  Biomed Genet Genom       Date:  2017-04-10

6.  Transcriptomic Profile of Primary Culture of Skeletal Muscle Cells Isolated from Semitendinosus Muscle of Beef and Dairy Bulls.

Authors:  Anna Ciecierska; Tomasz Motyl; Tomasz Sadkowski
Journal:  Int J Mol Sci       Date:  2020-07-07       Impact factor: 5.923

7.  Differential Gene Expression in Longissimus Dorsi Muscle of Hanwoo Steers-New Insight in Genes Involved in Marbling Development at Younger Ages.

Authors:  Sara de Las Heras-Saldana; Ki Yong Chung; Hyounju Kim; Dajeong Lim; Cedric Gondro; Julius H J van der Werf
Journal:  Genes (Basel)       Date:  2020-11-21       Impact factor: 4.096

8.  Identification of genes differentially expressed in myogenin knock-down bovine muscle satellite cells during differentiation through RNA sequencing analysis.

Authors:  Eun Ju Lee; Adeel Malik; Smritee Pokharel; Sarafraz Ahmad; Bilal Ahmad Mir; Kyung Hyun Cho; Jihoe Kim; Joon Chan Kong; Dong-Mok Lee; Ki Yong Chung; Sang Hoon Kim; Inho Choi
Journal:  PLoS One       Date:  2014-03-19       Impact factor: 3.240

9.  Transcriptomic profile of semitendinosus muscle of bulls of different breed and performance.

Authors:  Anna Ciecierska; Tomasz Motyl; Tomasz Sadkowski
Journal:  J Appl Genet       Date:  2020-08-26       Impact factor: 3.240

  9 in total

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