Human B Creatine Kinase Gene Expression in C2C12Cells Is Regulated by Protein Interactions Involving the First Exon

1996 ◽  
Vol 223 (3) ◽  
pp. 762-769 ◽  
Author(s):  
Michael E. Ritchie
Keyword(s):  
Gene Expression ◽  
Creatine Kinase ◽  
Protein Interactions ◽  
Kinase Gene

Developmental regulation of creatine kinase gene expression by myogenic factors in embryonic mouse and chick skeletal muscle

Development ◽  
1991 ◽  
Vol 113 (3) ◽  
pp. 1017-1029 ◽  
Author(s):  
G.E. Lyons ◽  
S. Muhlebach ◽  
A. Moser ◽  
R. Masood ◽  
B.M. Paterson ◽  
...  
Keyword(s):  
Gene Expression ◽  
Skeletal Muscle ◽  
Creatine Kinase ◽  
Striated Muscle ◽  
Myogenic Differentiation ◽  
Developmental Regulation ◽  
Specific Gene ◽  
Kinase Gene ◽  
Embryonic Mouse ◽  
Myogenic Factors

The B isoform of creatine kinase (BCK), which is expressed at a high level in embryonic neural tissues, is also expressed abundantly in developing striated muscle and is an early marker for skeletal myogenesis. Using isoform-specific 35S-labeled antisense cRNA probes for in situ hybridization, we have detected BCK mRNAs in embryonic mouse and chick myotomes, the first skeletal muscle masses to form in developing embryos. These transcripts are detectable as soon as myotomes are morphologically distinguishable. BCK is expressed at high levels in both skeletal and cardiac muscle in mouse and chick embryos. In the mouse, BCK transcript levels fall of rapidly in striated muscle shortly after the onset of MCK gene expression. The M isoform of creatine kinase (MCK), the striated muscle-specific isoform, is expressed later than BCK. In the mouse, BCK transcripts are expressed in myotomes at 8.5 days post coitum (p.c.), but MCK transcripts are not detected before 13 days p.c. In the chick, BCK mRNAs are present at Hamburger-Hamilton stage 13, but MCK mRNAs are not detected before stage 19. We have compared the patterns of expression of the CK genes with those of myogenic differentiation factor genes, which are thought to regulate skeletal muscle-specific gene expression. In the chick, both CMD1, first detected at stage 13, and myogenin, first detected at stage 15, are present prior to MCK, which begins to be expressed at stage 19. Unlike the mouse embryo, CMD1, the chick homologue of MyoD1, is expressed before chick myogenin. In the mouse, myogenin, first detected at 8.5 days p.c., is expressed at the same time as BCK in myotomes. Both myogenin and MyoD1, which begins to be detected two days later than myogenin, are expressed at least two days before MCK. It has been proposed that the myogenic factors, MyoD1 and myogenin, directly regulate MCK gene expression in the mouse by binding to its enhancer. However, our results show that MCK transcripts are not detected until well after MyoD1 and myogenin mRNAs are expressed, suggesting that these factors by themselves are not sufficient to initiate MCK gene expression.

scholarly journals Acute changes of myocardial creatine kinase gene expression under β-adrenergic stimulation

2000 ◽  
Vol 1502 (3) ◽  
pp. 471-480 ◽  
Author(s):  
Stefan Hammerschmidt ◽  
Michael Bell ◽  
Nicole Büchler ◽  
Hans Wahn ◽  
Helga Remkes ◽  
...  
Keyword(s):  
Gene Expression ◽  
Creatine Kinase ◽  
Adrenergic Stimulation ◽  
Kinase Gene ◽  
Acute Changes

Changes of Creatine Kinase Gene Expression in Rat Heart Post-Myocardial Infarction

1998 ◽  
Vol 30 (4) ◽  
pp. 803-810 ◽  
Author(s):  
Stefan Neubauer ◽  
Monika Frank ◽  
Kai Hu ◽  
Helga Remkes ◽  
Anne Laser ◽  
...  
Keyword(s):  
Gene Expression ◽  
Myocardial Infarction ◽  
Creatine Kinase ◽  
Rat Heart ◽  
Post Myocardial Infarction ◽  
Kinase Gene

M-creatine kinase gene expression in mechanically overloaded skeletal muscle of transgenic mice

1995 ◽  
Vol 269 (3) ◽  
pp. C665-C674 ◽  
Author(s):  
R. W. Tsika ◽  
S. D. Hauschka ◽  
L. Gao
Keyword(s):  
Gene Expression ◽  
Skeletal Muscle ◽  
Creatine Kinase ◽  
Muscle Creatine Kinase ◽  
Kinase Gene ◽  
Mouse Muscle ◽  
Average Decrease ◽  
Mechanical Overload ◽  
Mouse Lines ◽  
Specific Mrna

The molecular pathways and regulatory molecules that underlie changes in gene transcription during mechanical overload of skeletal muscle remain obscure. To better understand this process, we have examined mouse muscle creatine kinase (MCK) gene expression in mechanically overloaded plantaris (OP) muscle of transgenic and nontransgenic mice. Northern blot analysis revealed that endogenous MCK-specific mRNA transcripts were decreased 150% in the OP muscles after 6 wk. To identify the MCK gene regions involved in the response to mechanical overload, three different mouse MCKCAT transgenes were studied by measuring chloramphenicol acetyltransferase (CAT assays) activity in OP and sham-operated (control plantaris) muscles. Mouse lines carrying (+enh206)117MCKCAT and -1256MCKCAT transgenes exhibited 30 and 40% lower CAT levels, whereas two mouse lines carrying -3300MCKCAT transgenes exhibited average decreases of 430%. Nearly identical results, including measurements of exogenous CAT mRNA, were obtained 2 days postoverload. Six weeks or 2 days of mechanical overload led to an average decrease in MM-CK isoprotein of 140%. These data provide evidence that mechanical overload induces changes in MCK gene expression that appear to be regulated by at least two portions of the MCK gene: the 206 base pair 5' enhancer and the -3,300 to -1,257 region.

scholarly journals Multiple positive and negative elements regulate human brain creatine kinase gene expression

1991 ◽  
Vol 19 (22) ◽  
pp. 6231-6240 ◽  
Author(s):  
Michael E. Ritchie ◽  
Robert V. Trask ◽  
Hector L. Fontanet ◽  
Joseph J. Billadello
Keyword(s):  
Gene Expression ◽  
Creatine Kinase ◽  
Human Brain ◽  
Kinase Gene ◽  
Brain Creatine Kinase

Creatine kinase gene expression during the development ofBrachydanio

1979 ◽  
Vol 209 (2) ◽  
pp. 283-296 ◽  
Author(s):  
Paul J. Pontier ◽  
Nathan H. Hart
Keyword(s):  
Gene Expression ◽  
Creatine Kinase ◽  
Kinase Gene

Role of small nuclear RNAs in eukaryotic gene expression

2013 ◽  
Vol 54 ◽  
pp. 79-90 ◽  
Author(s):  
Saba Valadkhan ◽  
Lalith S. Gunawardane
Keyword(s):  
Gene Expression ◽  
Protein Interactions ◽  
Rna Stability ◽  
Splice Sites ◽  
Branch Site ◽  
Small Nuclear Rnas ◽  
Eukaryotic Gene Expression ◽  
Eukaryotic Gene ◽  
Rna Biogenesis

Eukaryotic cells contain small, highly abundant, nuclear-localized non-coding RNAs [snRNAs (small nuclear RNAs)] which play important roles in splicing of introns from primary genomic transcripts. Through a combination of RNA–RNA and RNA–protein interactions, two of the snRNPs, U1 and U2, recognize the splice sites and the branch site of introns. A complex remodelling of RNA–RNA and protein-based interactions follows, resulting in the assembly of catalytically competent spliceosomes, in which the snRNAs and their bound proteins play central roles. This process involves formation of extensive base-pairing interactions between U2 and U6, U6 and the 5′ splice site, and U5 and the exonic sequences immediately adjacent to the 5′ and 3′ splice sites. Thus RNA–RNA interactions involving U2, U5 and U6 help position the reacting groups of the first and second steps of splicing. In addition, U6 is also thought to participate in formation of the spliceosomal active site. Furthermore, emerging evidence suggests additional roles for snRNAs in regulation of various aspects of RNA biogenesis, from transcription to polyadenylation and RNA stability. These snRNP-mediated regulatory roles probably serve to ensure the co-ordination of the different processes involved in biogenesis of RNAs and point to the central importance of snRNAs in eukaryotic gene expression.

scholarly journals MNBDR: A Module Network Based Method for Drug Repositioning

Genes ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 25
Author(s):  
He-Gang Chen ◽  
Xiong-Hui Zhou
Keyword(s):  
Gene Expression ◽  
Protein Interactions ◽  
Drug Response ◽  
Drug Repositioning ◽  
Expression Profiles ◽  
Drug Repurposing ◽  
Recent Decade ◽  
Data Set ◽  
Module Network ◽  
The Cross

Drug repurposing/repositioning, which aims to find novel indications for existing drugs, contributes to reducing the time and cost for drug development. For the recent decade, gene expression profiles of drug stimulating samples have been successfully used in drug repurposing. However, most of the existing methods neglect the gene modules and the interactions among the modules, although the cross-talks among pathways are common in drug response. It is essential to develop a method that utilizes the cross-talks information to predict the reliable candidate associations. In this study, we developed MNBDR (Module Network Based Drug Repositioning), a novel method that based on module network to screen drugs. It integrated protein–protein interactions and gene expression profile of human, to predict drug candidates for diseases. Specifically, the MNBDR mined dense modules through protein–protein interaction (PPI) network and constructed a module network to reveal cross-talks among modules. Then, together with the module network, based on existing gene expression data set of drug stimulation samples and disease samples, we used random walk algorithms to capture essential modules in disease development and proposed a new indicator to screen potential drugs for a given disease. Results showed MNBDR could provide better performance than popular methods. Moreover, functional analysis of the essential modules in the network indicated our method could reveal biological mechanism in drug response.

scholarly journals Compendium of Methods to Uncover RNA-Protein Interactions In Vivo

2021 ◽  
Vol 4 (1) ◽  
pp. 22
Author(s):  
Mrinmoyee Majumder ◽  
Viswanathan Palanisamy
Keyword(s):  
Gene Expression ◽  
Protein Interactions ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Expression Patterns ◽  
Control Of Gene Expression ◽  
Regulatory Pathways ◽  
Advantages And Disadvantages ◽  
Protein Nucleic Acid

Control of gene expression is critical in shaping the pro-and eukaryotic organisms’ genotype and phenotype. The gene expression regulatory pathways solely rely on protein–protein and protein–nucleic acid interactions, which determine the fate of the nucleic acids. RNA–protein interactions play a significant role in co- and post-transcriptional regulation to control gene expression. RNA-binding proteins (RBPs) are a diverse group of macromolecules that bind to RNA and play an essential role in RNA biology by regulating pre-mRNA processing, maturation, nuclear transport, stability, and translation. Hence, the studies aimed at investigating RNA–protein interactions are essential to advance our knowledge in gene expression patterns associated with health and disease. Here we discuss the long-established and current technologies that are widely used to study RNA–protein interactions in vivo. We also present the advantages and disadvantages of each method discussed in the review.

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