A positive feedback loop regulation between NOTCH1 and USP11 in T-cell leukemia.
A positive feedback loop regulation between NOTCH1 and USP11 in T-cell leukemia.
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DOI:
10.1038/s41375-023-02096-4
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发表时间:
2024-01
期刊:
影响因子:
11.4
通讯作者:
Ntziachristos, Panagiotis
中科院分区:
文献类型:
--
作者:
Fijalkowski, Igor;Wang, Jin;Jin, Qi;Van Laere, Jolien;Serafin, Valentina;Crispino, John D.;Ntziachristos, Panagiotis
NOTCH1 is a transmembrane receptor in a highly conserved signaling pathway that controls cell fate decisions in various organisms and tissues. In contrast, its dysregulation is associated with developmental disorders transformation [1]. NOTCH1 is composed of extracellular and intracellular domains. Ligand binding of NOTCH1 extracellular domain leads to two consecutive cleavage steps mediated by ADAM-family metalloproteases and γ-secretase respectively, to generate active NOTCH1 intracellular domain, which orchestrated with other transcriptional coactivators, activates downstream gene expression. Notably, gain of function NOTCH1 mutations have been reported in more than 60% of T cell lymphoblastic leukemia (T-ALL) cases. Therefore, the dissection of the molecular mechanisms controlling NOTCH1 signaling might provide novel therapeutic windows.> 600 ubiquitin E3 ligases regulate ubiquitination and can be reversed by about 100 deubiquitinating (DUB) enzymes [2]. Previous studies highlighted the critical role of deubiquitination mediated by ubiquitin-specific proteases (USP) in stabilizing NOTCH1 both in the context of T-ALL or angiogenic sprouting [3, 4]. We recently demonstrated the role of USP7 in deubiquitinating and stabilizing NOTCH1 protein levels in this disease [4] and the role of deubiquitination in therapy resistance [5]. Survival data from the pediatric cancer genome project (PeCan) coupled with the expression levels of 52 USP family members showed that USP11 levels are associated with poor prognosis [5]. Protein levels of USP11 are significantly elevated in diagnostic samples of highrisk disease cases, suggesting it might be associated with resistance to therapy [5]. To better demonstrate the function of USP11 in regulating NOTCH1 signaling, we utilized biochemistry and molecular assays coupled with bioinformatic analysis of cancer datasets to reveal a novel positive feedback loop between NOTCH1 and USP11 in T-ALL. NOTCH1 expression is frequently activated via mutation, transcriptional, and posttranslational regulation in T-ALL [1]. USP7 and NOTCH1 present with a feed-forward loop, with NOTCH1 transcriptionally starting the USP7 locus [4]. We first analyzed the pediatric cancer genome project (PeCan) database to determine the correlation between the 52 USPs and NOTCH1 at the mRNA level (Fig. 1 A). Among those 52 USPs, USP11 was identified as transcript showing positive correlation with NOTCH1 transcript (Fig. 1 A, B). Further analysis of the Cancer Cell Line Encyclopedia (CCLE) database showed that both NOTCH1 and USP11 were found to be collectively highly expressed in T-ALL cell lines compared with cell lines from other cancer types (Fig. 1 C), and their levels present with a positive correlation in the T-ALL group (Fig. 1 D). To further confirm the positive correlation between NOTCH1 and USP11 expression, we performed reverse-phase protein array (RPPA) analysis in T-ALL patient samples. Our analysis shows that NOTCH1 protein levels positively correlate with USP11 protein levels (Fig. 1 E). Together, these results demonstrate a positive correlation between USP11 and NOTCH1 expression in T-ALL. Next, we questioned whether NOTCH1 transcriptionally regulates USP11. First, we analyzed chromatin immunoprecipitation coupled to next-generation sequencing (ChIP-seq) data of NOTCH1, BRD4, and H3K27Ac on the USP11 locus in T-ALL cells. Of note, NOTCH1 peaks were identified on the USP11 promoter associated with the H3K27Ac signal suggesting the potential transcriptional regulation of USP11 by NOTCH1 (Fig. 1 F). Furthermore, γ-secretase inhibitor (γSI)-mediated …
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影响因子:
13.6
作者:
通讯作者:
--
DOI:
10.1073/pnas.1315023111
发表时间:
2014-01-14
影响因子:
11.1
作者:
Wang, Hongfang;Zang, Chongzhi;Aster, Jon C.
通讯作者:
Aster, Jon C.
影响因子:
82.9
作者:
Kourtis N;Lazaris C;Hockemeyer K;Balandrán JC;Jimenez AR;Mullenders J;Gong Y;Trimarchi T;Bhatt K;Hu H;Shrestha L;Ambesi-Impiombato A;Kelliher M;Paietta E;Chiosis G;Guzman ML;Ferrando AA;Tsirigos A;Aifantis I
通讯作者:
Aifantis I
影响因子:
50.3
作者:
Ntziachristos P;Lim JS;Sage J;Aifantis I
通讯作者:
Aifantis I
影响因子:
56.9
作者:
Lim, R.;Sugino, T.;Potente, M.
通讯作者:
Potente, M.