2012
DOI: 10.1371/journal.pone.0052716
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Cloning and Characterization of the Human USP22 Gene Promoter

Abstract: Ubiquitin-specific processing enzyme 22 (USP22) plays a direct role in regulating cell cycle, and its overexpression has been reported to be involved in tumor progression. However, little is known about the regulation of USP22 transcription. In this study, we cloned and characterized the human USP22 promoter. Using 5′ RACE (rapid amplification of cDNA ends) analysis, the transcriptional initiation site was identified. Promoter deletion analysis showed that the sequence between −210 and −7 contains the basal pr… Show more

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Cited by 14 publications
(20 citation statements)
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References 27 publications
(35 reference statements)
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“…These selectively inhibit ERK1/2, p38 MAPK and JNK, respectively. HeLa cells were transfected with the reporter construct, pGL-210/+52, which contains the USP22 basic promoter region from -210 to +52 (14). The transfected cells were cultured for a further 12 h in the presence of 2 µM U0126, 2 µM SB203580, 10 µM SP600125 and 0.1% DMSO as blank controls, and luciferase activity was measured.…”
Section: Resultsmentioning
confidence: 99%
“…These selectively inhibit ERK1/2, p38 MAPK and JNK, respectively. HeLa cells were transfected with the reporter construct, pGL-210/+52, which contains the USP22 basic promoter region from -210 to +52 (14). The transfected cells were cultured for a further 12 h in the presence of 2 µM U0126, 2 µM SB203580, 10 µM SP600125 and 0.1% DMSO as blank controls, and luciferase activity was measured.…”
Section: Resultsmentioning
confidence: 99%
“…At the transcriptional level, Sp1 and PKA/CREB have been reported to bind to USP22 promoter and regulate USP22 transcription [41, 42]. …”
Section: Usp22 Structure and Saga Deubiquitylase Module Formationmentioning
confidence: 99%
“…Although USP22 is considered a promising biomarker for NB diagnosis and prognosis, [5][6][7][8][9][18][19][20] little is known about its effect in NB. Indeed, it is involved in the effective prediction of the response to therapy in individual patients with cancer.…”
Section: Discussionmentioning
confidence: 99%