Literature DB >> 19253283

Preliminary quantitative profile of differential protein expression between rat L6 myoblasts and myotubes by stable isotope labeling with amino acids in cell culture.

Ziyou Cui1, Xiulan Chen, Bingwen Lu, Sung Kyu Park, Tao Xu, Zhensheng Xie, Peng Xue, Junjie Hou, Haiying Hang, John R Yates, Fuquan Yang.   

Abstract

Defining the mechanisms governing myogenesis has advanced in recent years. Skeletal-muscle differentiation is a multi-step process controlled spatially and temporally by various factors at the transcription level. To explore those factors involved in myogenesis, stable isotope labeling with amino acids in cell culture (SILAC), coupled with high-accuracy mass spectrometry (LTQ-Orbitrap), was applied successfully. Rat L6 cell line is an excellent model system for studying muscle myogenesis in vitro. When mononucleate L6 myoblast cells reach confluence in culture plate, they could transform into multinucleate myotubes by serum starvation. By comparing protein expression of L6 myoblasts and terminally differentiated multinucleated myotubes, 1170 proteins were quantified and 379 proteins changed significantly in fully differentiated myotubes in contrast to myoblasts. These differentially expressed proteins are mainly involved in inter-or intracellular signaling, protein synthesis and degradation, protein folding, cell adhesion and extracellular matrix, cell structure and motility, metabolism, substance transportation, etc. These findings were supported by many previous studies on myogenic differentiation, of which many up-regulated proteins were found to be involved in promoting skeletal muscle differentiation for the first time in our study. In summary, our results provide new clues for understanding the mechanism of myogenesis.

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Year:  2009        PMID: 19253283      PMCID: PMC2946197          DOI: 10.1002/pmic.200800354

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  45 in total

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2.  Reduction in intracellular calcium levels inhibits myoblast differentiation.

Authors:  George A Porter; Ryan F Makuck; Scott A Rivkees
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Review 3.  Mass spectrometry-based proteomics.

Authors:  Ruedi Aebersold; Matthias Mann
Journal:  Nature       Date:  2003-03-13       Impact factor: 49.962

4.  The small heat shock protein alpha B-crystallin negatively regulates apoptosis during myogenic differentiation by inhibiting caspase-3 activation.

Authors:  Merideth C Kamradt; Feng Chen; Susan Sam; Vincent L Cryns
Journal:  J Biol Chem       Date:  2002-07-24       Impact factor: 5.157

5.  Validation of tandem mass spectrometry database search results using DTASelect.

Authors:  Daniel Cociorva; David L Tabb; John R Yates
Journal:  Curr Protoc Bioinformatics       Date:  2007-01

Review 6.  Mitogen-activated protein kinase pathways mediated by ERK, JNK, and p38 protein kinases.

Authors:  Gary L Johnson; Razvan Lapadat
Journal:  Science       Date:  2002-12-06       Impact factor: 47.728

7.  Expression and partial characterization of kinesin-related proteins in differentiating and adult skeletal muscle.

Authors:  L M Ginkel; L Wordeman
Journal:  Mol Biol Cell       Date:  2000-12       Impact factor: 4.138

8.  Latent transforming growth factor beta-binding protein 1 interacts with fibrillin and is a microfibril-associated protein.

Authors:  Zenzo Isogai; Robert N Ono; Shin Ushiro; Douglas R Keene; Yan Chen; Roberta Mazzieri; Noe L Charbonneau; Dieter P Reinhardt; Daniel B Rifkin; Lynn Y Sakai
Journal:  J Biol Chem       Date:  2002-11-11       Impact factor: 5.157

9.  Stable isotope labeling by amino acids in cell culture, SILAC, as a simple and accurate approach to expression proteomics.

Authors:  Shao-En Ong; Blagoy Blagoev; Irina Kratchmarova; Dan Bach Kristensen; Hanno Steen; Akhilesh Pandey; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2002-05       Impact factor: 5.911

10.  Prostaglandin F2(alpha) stimulates growth of skeletal muscle cells via an NFATC2-dependent pathway.

Authors:  Valerie Horsley; Grace K Pavlath
Journal:  J Cell Biol       Date:  2003-04-14       Impact factor: 10.539

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  18 in total

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2.  ProteoMirExpress: inferring microRNA and protein-centered regulatory networks from high-throughput proteomic and mRNA expression data.

Authors:  Jing Qin; Mulin Jun Li; Panwen Wang; Nai Sum Wong; Maria P Wong; Zhengyuan Xia; George S W Tsao; Michael Q Zhang; Junwen Wang
Journal:  Mol Cell Proteomics       Date:  2013-08-07       Impact factor: 5.911

3.  Angiotensin IV upregulates the activity of protein phosphatase 1α in Neura-2A cells.

Authors:  Dan Wang; Peng Xue; Xiu Lan Chen; Zhen Sheng Xie; Fu Quan Yang; Li Zheng; Tao Xu
Journal:  Protein Cell       Date:  2013-06-06       Impact factor: 14.870

4.  Myofibrillar Z-discs Are a Protein Phosphorylation Hot Spot with Protein Kinase C (PKCα) Modulating Protein Dynamics.

Authors:  Lena Reimann; Heike Wiese; Yvonne Leber; Anja N Schwäble; Anna L Fricke; Anne Rohland; Bettina Knapp; Christian D Peikert; Friedel Drepper; Peter F M van der Ven; Gerald Radziwill; Dieter O Fürst; Bettina Warscheid
Journal:  Mol Cell Proteomics       Date:  2016-12-27       Impact factor: 5.911

5.  Automated gas-phase purification for accurate, multiplexed quantification on a stand-alone ion-trap mass spectrometer.

Authors:  Catherine E Vincent; Jarred W Rensvold; Michael S Westphall; David J Pagliarini; Joshua J Coon
Journal:  Anal Chem       Date:  2012-10-24       Impact factor: 6.986

6.  A Novel Phenylchromane Derivative Increases the Rate of Glucose Uptake in L6 Myotubes and Augments Insulin Secretion from Pancreatic Beta-Cells by Activating AMPK.

Authors:  Naomi Rozentul; Yosef Avrahami; Moran Shubely; Laura Levy; Anna Munder; Guy Cohen; Erol Cerasi; Shlomo Sasson; Arie Gruzman
Journal:  Pharm Res       Date:  2017-10-05       Impact factor: 4.200

7.  Identification and Quantification of Murine Mitochondrial Proteoforms Using an Integrated Top-Down and Intact-Mass Strategy.

Authors:  Leah V Schaffer; Jarred W Rensvold; Michael R Shortreed; Anthony J Cesnik; Adam Jochem; Mark Scalf; Brian L Frey; David J Pagliarini; Lloyd M Smith
Journal:  J Proteome Res       Date:  2018-09-18       Impact factor: 4.466

8.  Neutron-encoded mass signatures for multiplexed proteome quantification.

Authors:  Alexander S Hebert; Anna E Merrill; Derek J Bailey; Amelia J Still; Michael S Westphall; Eric R Strieter; David J Pagliarini; Joshua J Coon
Journal:  Nat Methods       Date:  2013-02-24       Impact factor: 28.547

9.  Skeletal muscle proteomics: current approaches, technical challenges and emerging techniques.

Authors:  Kay Ohlendieck
Journal:  Skelet Muscle       Date:  2011-02-01       Impact factor: 4.912

10.  A probabilistic framework for peptide and protein quantification from data-dependent and data-independent LC-MS proteomics experiments.

Authors:  Keith Richardson; Richard Denny; Chris Hughes; John Skilling; Jacek Sikora; Michał Dadlez; Angel Manteca; Hye Ryung Jung; Ole Nørregaard Jensen; Virginie Redeker; Ronald Melki; James I Langridge; Johannes P C Vissers
Journal:  OMICS       Date:  2012-08-07
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