2015
DOI: 10.1016/j.bbrc.2015.04.142
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Transcriptional regulatory network of SOX4 during myoblast differentiation

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Cited by 9 publications
(3 citation statements)
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“…It has also been demonstrated that miR-133a could physically interact with SOX4 3′UTR, leading to its downregulation [ 51 ]. SOX4 overexpression has been described to induce the lysosomal-associated membrane protein 1 (Lamp1) and the mitogen-activated protein kinase 2 (Map2k2) [ 52 ], and these two transcripts are highly expressed in differentiated myocytes [ 52 ]. Our results showed that, during differentiation, miR-133a decreased expression ( Figure 3 A) and TPM4 upregulation ( Figure 3 B), were coupled to SOX4 upregulation ( Figure 4 A).…”
Section: Resultsmentioning
confidence: 99%
“…It has also been demonstrated that miR-133a could physically interact with SOX4 3′UTR, leading to its downregulation [ 51 ]. SOX4 overexpression has been described to induce the lysosomal-associated membrane protein 1 (Lamp1) and the mitogen-activated protein kinase 2 (Map2k2) [ 52 ], and these two transcripts are highly expressed in differentiated myocytes [ 52 ]. Our results showed that, during differentiation, miR-133a decreased expression ( Figure 3 A) and TPM4 upregulation ( Figure 3 B), were coupled to SOX4 upregulation ( Figure 4 A).…”
Section: Resultsmentioning
confidence: 99%
“…Transcriptional regulatory networks of TFs have become more important and attractive to identify the target regulatory genes and interacting proteins of the TFs (Barabási and Oltvai, 2004 ; Jang et al, 2015 ). The regulatory mechanism of C2H2-ZFPs in legume-rhizobium symbiosis remains largely unexplored, especially in soybean.…”
Section: Discussionmentioning
confidence: 99%
“…Transcriptional regulatory networks of TFs are particularly important for identifying target regulatory genes and interacting proteins of TFs (Barabaśi and Oltvai, 2004;Jang et al, 2015). It is still largely unknown how 14-3-3s regulate the graminaceous -AM symbiosis, particularly in maize.…”
Section: Interaction and Regulatory Network Prediction Of Symbiosis-r...mentioning
confidence: 99%