EN
登录

p53靶点ANKRA2与RFX7协同调节肿瘤抑制基因

p53 target ANKRA2 cooperates with RFX7 to regulate tumor suppressor genes

Nature 等信源发布 2024-08-24 21:37

可切换为仅中文


AbstractThe transcription factor regulatory factor X 7 (RFX7) has been identified as a tumor suppressor that is recurrently mutated in lymphoid cancers and appears to be dysregulated in many other cancers. RFX7 is activated by the well-known tumor suppressor p53 and regulates several other known tumor suppressor genes.

摘要转录因子调节因子X 7(RFX7)已被鉴定为一种肿瘤抑制因子,在淋巴癌中反复突变,在许多其他癌症中似乎失调。RFX7被众所周知的肿瘤抑制基因p53激活,并调节其他几种已知的肿瘤抑制基因。

However, what other factors regulate RFX7 and its target genes remains unclear. Here, reporter gene assays were used to identify that RFX7 regulates the tumor suppressor gene PDCD4 through direct interaction with its X-box promoter motif. We utilized mass spectrometry to identify factors that bind to DNA together with RFX7.

然而,还有哪些其他因素调节RFX7及其靶基因仍不清楚。在这里,使用报告基因测定来鉴定RFX7通过与其X-box启动子基序的直接相互作用来调节肿瘤抑制基因PDCD4。我们利用质谱法鉴定了与RFX7结合DNA的因子。

In addition to RFX7, we also identified RFX5, RFXAP, RFXANK, and ANKRA2 that bind to the X-box motif in the PDCD4 promoter. We demonstrate that ANKRA2 is a bona fide direct p53 target gene. We used transcriptome analyses in two cell systems to identify genes regulated by ANKRA2, its sibling RFXANK, and RFX7.

除RFX7外,我们还鉴定了RFX5,RFXAP,RFXANK和ANKRA2,它们与PDCD4启动子中的X-box基序结合。我们证明ANKRA2是真正的直接p53靶基因。我们在两个细胞系统中使用转录组分析来鉴定由ANKRA2,其同胞RFXANK和RFX7调控的基因。

These results revealed that ANKRA2 functions as a critical cofactor of RFX7, whereas RFXANK regulates largely distinct gene sets..

这些结果表明,ANKRA2是RFX7的关键辅因子,而RFXANK调节着很大程度上不同的基因组。。

IntroductionRFX7 has recently emerged as a tumor suppressor that is recurrently mutated in hematopoietic cancers [1]. For example, RFX7 mutations have been implied to be cancer drivers in Burkitt lymphoma [2, 3] and chronic lymphocytic leukemia [4]. In strong support of its tumor suppressor function, loss of RFX7 accelerated B cell lymphomagenesis in mouse models [5].

引言RFX7最近成为一种在造血系统癌症中反复突变的肿瘤抑制因子。例如,RFX7突变被认为是伯基特淋巴瘤(2,3)和慢性淋巴细胞白血病(4)的癌症驱动因素。在强烈支持其肿瘤抑制功能的同时,RFX7的缺失加速了小鼠模型中B细胞淋巴瘤的发生(5)。

In addition, RFX7 appears to be deactivated in many cancers in which it is not mutated [6], making RFX7 reactivation an intriguing target for cancer therapy. Besides cancer, RFX7 has been implicated in organismal development [7], neurological disorders [8,9,10,11], metabolic disorders [12], and immune cell maintenance [13].The regulatory factor X (RFX) transcription factor family is evolutionarily conserved in the eukaryotic kingdom [14, 15].

。除癌症外,RFX7还与机体发育、神经系统疾病、代谢紊乱和免疫细胞维持有关。调节因子X(RFX)转录因子家族在真核生物界是进化保守的[14,15]。

In humans, the RFX family consists of eight members, all of which possess a conserved winged-helix DNA-binding domain (DBD) through which they can bind cis-regulatory X-box DNA motifs [16, 17]. Most RFX genes show cell type-specific expression, but RFX1, RFX5, and RFX7 are expressed in essentially all tissues [17, 18].

在人类中,RFX家族由八个成员组成,所有成员都具有保守的翼螺旋DNA结合结构域(DBD),通过该结构域,它们可以结合顺式调节X盒DNA基序[16,17]。大多数RFX基因显示细胞类型特异性表达,但RFX1,RFX5和RFX7基本上在所有组织中表达[17,18]。

RFX5 is the phylogenetically closest sibling of RFX7 and the most extensively studied member of the RFX family. RFX5 regulates major histocompatibility complex (MHC) class II genes. Together with RFXANK and RFXAP, RFX5 can form the RFX complex that recruits the transcriptional coactivator CIITA to promote MHC class II gene expression [19].

RFX5是RFX7在系统发育上最接近的兄弟姐妹,也是RFX家族研究最广泛的成员。RFX5调节主要组织相容性复合体(MHC)II类基因。RFX5与RFXANK和RFXAP一起可以形成RFX复合物,该复合物募集转录共激活因子CIITA以促进MHC II类基因表达。

Unlike RFX5, its sibling RFX7 is poorly understood.Recently, we found that the tumor suppressor p53 activates RFX7 upon p53-activating stress signals [6, 20]. We have also identified genes directly and indirectly regulated by RFX7 genome-wide, including genes involved in neuronal processes, metabolic regulation, and t.

与RFX5不同,人们对其兄弟RFX7知之甚少。最近,我们发现肿瘤抑制因子p53在p53激活应激信号时激活RFX7[6,20]。我们还鉴定了由RFX7全基因组直接和间接调控的基因,包括涉及神经元过程,代谢调控和t的基因。

ANKRA2 is a direct p53 targetInterestingly, ANKRA2 has been identified as a potential p53 target gene [29,30,31,32], whereas RFXANK expression does not appear to be induced by p53 signaling [33]. Publicly available data indicate that p53 binds near the TSS of ANKRA2 (Fig. 2a). In agreement with previous data, our ChIP-qPCR data showed inducible p53 binding to the ANKRA2 promoter (Fig.

ANKRA2是一种直接的p53靶向基因,ANKRA2已被确定为潜在的p53靶基因[29,30,31,32],而RFXANK表达似乎不受p53信号传导的诱导[33]。公开可用的数据表明p53在ANKRA2的TSS附近结合(图2a)。与以前的数据一致,我们的ChIP-qPCR数据显示诱导型p53与ANKRA2启动子结合(图)。

2b), and our RT-qPCR data showed that ANKRA2 mRNA levels increased significantly in response to Nutlin-3a treatment (Fig. 2c). We next sought to test whether ANKRA2 was upregulated through the p53 binding site in its promoter. We cloned the ANKRA2 promoter region and deleted a p53 response element (p53RE) that had been predicted by motif analysis [34].

2b),我们的RT-qPCR数据显示ANKRA2 mRNA水平响应Nutlin-3a处理而显着增加(图2c)。接下来,我们试图测试ANKRA2是否通过其启动子中的p53结合位点上调。我们克隆了ANKRA2启动子区域,并删除了通过基序分析预测的p53反应元件(p53RE)。

Results from dual-luciferase assays showed that the ANKRA2 promoter mediated transcriptional activation upon Nutlin-3a treatment and that this activation was lost when the p53RE was deleted (Fig. 2d). Collectively, these results demonstrate that ANKRA2 is a direct target gene of p53.Fig. 2: ANKRA2 is a direct p53 target gene.a UCSC genome browser image displaying the ANKRA2 gene locus.

双荧光素酶测定的结果表明,在Nutlin-3a处理后,ANKRA2启动子介导了转录激活,并且当删除p53RE时,这种激活就丧失了(图2d)。总的来说,这些结果表明ANKRA2是p53的直接靶基因。图2:ANKRA2是直接的p53靶基因。UCSC基因组浏览器图像显示了ANKRA2基因座。

Publicly available p53 ChIP-seq signals from Nutlin-3a treated U2OS and HCT116 cells [33] and predicted p53 response elements (p53RE) [34] are displayed. b ChIP-qPCR data of p53 binding to the promoters of ANKRA2 and GAPDH negative control. Mean and standard deviation are displayed. Statistical significance was obtained through a two-sided unpaired t-test, n = 3 technical replicates.

显示了来自Nutlin-3a处理的U2OS和HCT116细胞(33)和预测的p53反应元件(p53RE)的公开可用的p53 ChIP-seq信号。b p53与ANKRA2和GAPDH阴性对照启动子结合的ChIP-qPCR数据。显示平均值和标准偏差。通过双侧不成对t检验获得统计学显着性,n=3个技术重复。

c RT-qPCR data of ANKRA2 in U2OS, HCT116, and RPE1 cells. Normalized to ACTR10 negative control and DMSO samples. MDM2 serves as a positive control for p53 induction by Nutlin-3a. Mean and standard deviation are displayed. Statistical significance was obtained through a two-sided .

c U2OS,HCT116和RPE1细胞中ANKRA2的RT-qPCR数据。标准化为ACTR10阴性对照和DMSO样品。MDM2作为Nutlin-3a诱导p53的阳性对照。显示平均值和标准偏差。通过双面获得统计学显着性。

Data availability

数据可用性

The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE [42] partner repository with the dataset identifier PXD020932. RNA sequencing data is accessible through GEO [43] series accession numbers GSE162161 and GSE162162.

质谱蛋白质组学数据已通过PRIDE(42)合作伙伴存储库保存到ProteomeXchange Consortium,数据集标识符为PXD020932。。

ReferencesFischer BA, Chelbi ST, Guarda G. Regulatory Factor X 7 and its potential link to lymphoid cancers. Trends Cancer. 2020;6:6–9.Article

参考Fischer BA,Chelbi ST,Guarda G.调节因子X 7及其与淋巴癌的潜在联系。趋势癌症。2020年;6: 6-9.文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

López C, Kleinheinz K, Aukema SM, Rohde M, Bernhart SH, Hübschmann D, et al. Genomic and transcriptomic changes complement each other in the pathogenesis of sporadic Burkitt lymphoma. Nat. Commun. 2019;10:1459.Article

López C,Kleinheinz K,Aukema SM,Rohde M,Bernhart SH,Hübschmann D等。基因组和转录组学变化在散发性伯基特淋巴瘤的发病机理中相互补充。国家公社。2019年;10: 第1459条

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Grande BM, Gerhard DS, Jiang A, Griner NB, Abramson JS, Alexander TB, et al. Genome-wide discovery of somatic coding and noncoding mutations in pediatric endemic and sporadic Burkitt lymphoma. Blood. 2019;133:1313.Article

Grande BM,Gerhard DS,Jiang A,Griner NB,Abramson JS,Alexander TB等。小儿地方性和散发性伯基特淋巴瘤体细胞编码和非编码突变的全基因组发现。血。2019年;133:1313.文章

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Knisbacher BA, Lin Z, Hahn CK, Nadeu F, Duran-Ferrer M, Stevenson KE, et al. Molecular map of chronic lymphocytic leukemia and its impact on outcome. Nat. Genet. 2022;54:1664–74.Article

Knisbacher BA,Lin Z,Hahn CK,Nadeu F,Duran Ferrer M,Stevenson KE等。慢性淋巴细胞白血病的分子图谱及其对预后的影响。纳特·吉内特。2022年;54:1664–74.文章

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Weber J, de la Rosa J, Grove CS, Schick M, Rad L, Baranov O, et al. PiggyBac transposon tools for recessive screening identify B-cell lymphoma drivers in mice. Nat Commun. 2019;10:1415.Article

。。2019年;10: 第1415条

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Coronel L, Riege K, Schwab K, Förste S, Häckes D, Semerau L, et al. Transcription factor RFX7 governs a tumor suppressor network in response to p53 and stress. Nucleic Acids Res. 2021;49:7437–56.Article

Coronel L,Riege K,Schwab K,Förste S,Häckes D,Semerau L等。转录因子RFX7控制肿瘤抑制网络以响应p53和压力。核酸研究2021;49:7437–56.文章

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Manojlovic Z, Earwood R, Kato A, Stefanovic B, Kato Y. RFX7 is required for the formation of cilia in the neural tube. Mech Dev. 2014;132:28–37.Article

Manojlovic Z,Earwood R,Kato A,Stefanovic B,Kato Y.RFX7是神经管纤毛形成所必需的。机械开发2014;132:28–37.文章

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Kim D, Basile AO, Bang L, Horgusluoglu E, Lee S, Ritchie MD, et al. Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer’s disease. BMC Med Inf Decis Mak. 2017;17:61.Article

Kim D,Basile AO,Bang L,Horgusluoglu E,Lee S,Ritchie MD等。罕见变异关联分析的知识驱动分箱方法:在阿尔茨海默病神经影像生物标志物中的应用。BMC Med Inf Decis Mak公司。2017年;17: 第61条

Google Scholar

谷歌学者

Harris HK, Nakayama T, Lai J, Zhao B, Argyrou N, Gubbels CS, et al. Disruption of RFX family transcription factors causes autism, attention-deficit/hyperactivity disorder, intellectual disability, and dysregulated behavior. Genet Med. 2021;23:1028–40.Article

Harris HK,Nakayama T,Lai J,Zhao B,Argyrou N,Gubbels CS等。RFX家族转录因子的破坏会导致自闭症,注意力缺陷/多动障碍,智力障碍和行为失调。基因医学2021;23:1028–40.文章

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Ledger ML, Kaare M, Mailo JA, Jain-Ghai S. Phenotype expansion and neurological manifestations of neurobehavioural disease caused by a variant in RFX7. Eur J Med Genet. 2023;66:104657.Article

Ledger ML,Kaare M,Mailo JA,Jain Ghai S.RFX7变异引起的神经行为疾病的表型扩展和神经系统表现。Eur J Med Genet。2023年;66:104657.文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Oatman SR, Reddy JS, Quicksall Z, Carrasquillo MM, Wang X, Liu C-C, et al. Genome-wide association study of brain biochemical phenotypes reveals distinct genetic architecture of Alzheimer’s disease related proteins. Mol Neurodegener. 2023;18:2.Article

Oatman SR,Reddy JS,Quicksall Z,Carrasquillo MM,Wang X,Liu C-C等。大脑生化表型的全基因组关联研究揭示了阿尔茨海默病相关蛋白的独特遗传结构。摩尔神经退行性变。2023年;18: 2、条款

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Shungin D, Winkler TW, Croteau-Chonka DC, Ferreira T, Locke AE, Mägi R, et al. New genetic loci link adipose and insulin biology to body fat distribution. Nature. 2015;518:187–96.Article

。自然。2015年;518:187–96.文章

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Castro W, Chelbi ST, Niogret C, Ramon-Barros C, Welten SPM, Osterheld K, et al. The transcription factor Rfx7 limits metabolism of NK cells and promotes their maintenance and immunity. Nat. Immunol. 2018;19:809–20.Article

Castro W,Chelbi ST,Niogret C,Ramon Barros C,Welten SPM,Osterheld K等。转录因子Rfx7限制NK细胞的代谢并促进其维持和免疫。自然免疫。2018年;19: 809-20.文章

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Emery P, Durand B, Mach B, Reith W. RFX proteins, a novel family of DNA binding proteins conserved in the eukaryotic kingdom. Nucleic Acids Res. 1996;24:803–7.Article

Emery P,Durand B,Mach B,Reith W.RFX蛋白,一种在真核生物界保守的新型DNA结合蛋白家族。核酸研究1996;24:803–7.文章

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Chu JS, Baillie DL, Chen N. Convergent evolution of RFX transcription factors and ciliary genes predated the origin of metazoans. BMC Evol Biol. 2010;10:130.Article

Chu JS,Baillie DL,Chen N.RFX转录因子和睫状基因的趋同进化早于后生动物的起源。BMC进化生物学。2010年;10:

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Gajiwala KS, Chen H, Cornille F, Roques BP, Reith W, Mach B, et al. Structure of the winged-helix protein hRFX1 reveals a new mode of DNA binding. Nature. 2000;403:916–21.Article

Gajiwala KS,Chen H,Cornille F,Roques BP,Reith W,Mach B等。有翼螺旋蛋白hRFX1的结构揭示了一种新的DNA结合模式。自然。2000年;403:916–21.文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Sugiaman-Trapman D, Vitezic M, Jouhilahti E-M, Mathelier A, Lauter G, Misra S, et al. Characterization of the human RFX transcription factor family by regulatory and target gene analysis. BMC Genomics. 2018;19:181.Article

Sugiaman Trapman D,Vitezic M,Jouhilahti E-M,Mathelier A,Lauter G,Misra S等。通过调控和靶基因分析表征人RFX转录因子家族。BMC基因组学。2018年;19: 第181条

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Aftab S, Semenec L, Chu JS-C, Chen N. Identification and characterization of novel human tissue-specific RFX transcription factors. BMC Evol Biol. 2008;8:226.Article

Aftab S,Semenec L,Chu JS-C,Chen N.新型人类组织特异性RFX转录因子的鉴定和表征。BMC进化生物学。2008年;8: 第226条

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Reith W, LeibundGut-Landmann S, Waldburger J-M. Regulation of MHC class II gene expression by the class II transactivator. Nat Rev Immunol. 2005;5:793–806.Article

Reith W,LeibundGut Landmann S,Waldburger J-M.II类反式激活因子对MHC II类基因表达的调节。Nat Rev免疫。2005年;5: 793-806.文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Fischer M. Gene regulation by the tumor suppressor p53—the omics era. Biochim Biophys Acta Rev Cancer. 2024;1879:189111.Article

Fischer M.肿瘤抑制因子p53的基因调控-组学时代。Biochim Biophys Acta Rev癌症。2024年;1879:189111.文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Coronel L, Häckes D, Schwab K, Riege K, Hoffmann S, Fischer M. p53-mediated AKT and mTOR inhibition requires RFX7 and DDIT4 and depends on nutrient abundance. Oncogene. 2022;41:1063–9.Article

Coronel L,Häckes D,Schwab K,Riege K,Hoffmann S,Fischer M.p53介导的AKT和mTOR抑制需要RFX7和DDIT4,并取决于营养丰度。致癌基因。2022年;41:1063–9.文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Schwab K, Coronel L, Riege K, Sacramento EK, Rahnis N, Häckes D, et al. Multi-omics analysis identifies RFX7 targets involved in tumor suppression and neuronal processes. Cell Death Discov. 2023;9:80.Article

Schwab K,Coronel L,Riege K,Sacramento EK,Rahnis N,Häckes D等。多组学分析确定了参与肿瘤抑制和神经元过程的RFX7靶标。细胞死亡发现。2023年;9: 80、条款

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Nardini M, Gnesutta N, Donati G, Gatta R, Forni C, Fossati A, et al. Sequence-specific transcription factor NF-Y displays histone-like DNA binding and H2B-like ubiquitination. Cell. 2013;152:132–43.Article

Nardini M,Gnesutta N,Donati G,Gatta R,Forni C,Fossati A等。序列特异性转录因子NF-Y显示组蛋白样DNA结合和H2B样泛素化。。2013年;152:132–43.文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Vassilev LT, Vu BT, Graves B, Carvajal D, Podlaski F, Filipovic Z, et al. In vivo activation of the p53 pathway by small-molecule antagonists of MDM2. Science. 2004;303:844–8.Article

Vassilev LT,Vu BT,Graves B,Carvajal D,Podlaski F,Filipovic Z等。MDM2小分子拮抗剂对p53途径的体内激活。科学。2004年;303:844–8.文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Krawczyk M, Masternak K, Zufferey M, Barras E, Reith W. New functions of the major histocompatibility complex class II-specific transcription factor RFXANK revealed by a high-resolution mutagenesis study. Mol Cell Biol. 2005;25:8607–18.Article

Krawczyk M,Masternak K,Zufferey M,Barras E,Reith W.高分辨率诱变研究揭示了主要组织相容性复合物II类特异性转录因子RFXANK的新功能。摩尔细胞生物学。2005年;25:8607–18.文章

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Long AB, Boss JM. Evolutionary conservation and characterization of the bare lymphocyte syndrome transcription factor RFX-B and its paralogue ANKRA2. Immunogenetics. 2005;56:788–97.Article

Long AB,Boss JM。裸淋巴细胞综合征转录因子RFX-B及其旁系同源物ANKRA2的进化保守性和表征。免疫遗传学。2005年;56:788–97.文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Nie J, Xu C, Jin J, Aka JA, Tempel W, Nguyen V, et al. Ankyrin repeats of ANKRA2 recognize a PxLPxL motif on the 3M syndrome protein CCDC8. Structure. 2015;23:700–12.Article

Nie J,Xu C,Jin J,Aka JA,Tempel W,Nguyen V等。ANKRA2的锚蛋白重复序列识别3M综合征蛋白CCDC8上的PxLPxL基序。结构。2015年;23:700–12.文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Gao J, Xu C. Structural basis for the recognition of RFX7 by ANKRA2 and RFXANK. Biochem Biophys Res Commun. 2020;523:263–6.Article

Gao J,Xu C.ANKRA2和RFXANK识别RFX7的结构基础。生物化学Biophys Res Commun。2020年;523:263–6.文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Parikh N, Hilsenbeck S, Creighton CJ, Dayaram T, Shuck R, Shinbrot E, et al. Effects of TP53 mutational status on gene expression patterns across 10 human cancer types. J. Pathol. 2014;232:522–33.Article

Parikh N,Hilsenbeck S,Creighton CJ,Dayaram T,Shuck R,Shinbrot E等。TP53突变状态对10种人类癌症类型基因表达模式的影响。J、 病理学。2014年;232:522–33.文章

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Kirschner K, Samarajiwa SA, Cairns JM, Menon S, Pérez-Mancera PA, Tomimatsu K, et al. Phenotype specific analyses reveal distinct regulatory mechanism for chronically activated p53. PLOS Genet. 2015;11:e1005053.Article

Kirschner K,Samarajiwa SA,Cairns JM,Menon S,Pérez-Mancera PA,Tomimatsu K等。表型特异性分析揭示了慢性激活p53的独特调控机制。PLOS Genet。2015年;11: e1005053。条款

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Fischer M, Grossmann P, Padi M, DeCaprio JA. Integration of TP53, DREAM, MMB-FOXM1 and RB-E2F target gene analyses identifies cell cycle gene regulatory networks. Nucleic Acids Res. 2016;44:6070–86.Article

菲舍尔M,格罗斯曼P,帕迪M,德卡普里奥JA。。核酸研究2016;44:6070–86.文章

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Fischer M. Census and evaluation of p53 target genes. Oncogene. 2017;36:3943–56.Article

Fischer M.p53靶基因的普查和评估。致癌基因。2017年;36:3943–56.文章

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Fischer M, Schwarz R, Riege K, DeCaprio JA, Hoffmann S. TargetGeneReg 2.0: a comprehensive web-atlas for p53, p63, and cell cycle-dependent gene regulation. NAR Cancer. 2022;4:zcac009.Article

Fischer M,Schwarz R,Riege K,DeCaprio JA,Hoffmann S.TargetGeneReg 2.0:p53,p63和细胞周期依赖性基因调控的综合网络图谱。NAR癌症。2022年;4:

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Riege K, Kretzmer H, Sahm A, McDade SS, Hoffmann S, Fischer M. Dissecting the DNA binding landscape and gene regulatory network of p63 and p53. Elife. 2020;9:e63266.Article

Riege K,Kretzmer H,Sahm A,McDade SS,Hoffmann S,Fischer M.解剖p63和p53的DNA结合景观和基因调控网络。埃利夫。2020年;9: e63266。条款

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Zhang Q, Zhang J, Jin H, Sheng S. Whole transcriptome sequencing identifies tumor-specific mutations in human oral squamous cell carcinoma. BMC Med Genomics. 2013;6:28.Article

Zhang Q,Zhang J,Jin H,Sheng S.全转录组测序鉴定人口腔鳞状细胞癌中的肿瘤特异性突变。BMC Med基因组学。2013年;6: 28、条款

CAS

中科院

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Müller GA, Quaas M, Schümann M, Krause E, Padi M, Fischer M, et al. The CHR promoter element controls cell cycle-dependent gene transcription and binds the DREAM and MMB complexes. Nucleic Acids Res. 2012;40:1561–78.Article

Müller GA,Quaas M,Schümann M,Krause E,Padi M,Fischer M等。CHR启动子元件控制细胞周期依赖性基因转录并结合DREAM和MMB复合物。核酸Res.2012;40:1561–78.文章

PubMed

PubMed

Google Scholar

谷歌学者

Müller GA, Engeland K. DNA affinity purification: a pulldown assay for identifying and analyzing proteins binding to nucleic acids. In: Methods in Molecular Biology, 81–90.Cox J, Mann M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

Müller GA,Engeland K.DNA亲和纯化:用于鉴定和分析与核酸结合的蛋白质的下拉测定。在:分子生物学方法,81-90。Cox J,Mann M.MaxQuant实现了高肽鉴定率,个性化的p.p.b.范围质量准确度和蛋白质组范围内的蛋白质定量。

Nat. Biotechnol. 2008;26:1367–72.Article .

美国国家生物技术公司。2008年;26:1367-72。文章。

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Cox J, Neuhauser N, Michalski A, Scheltema RA, Olsen JV, Mann M. Andromeda: a peptide search engine integrated into the MaxQuant environment. J. Proteome Res. 2011;10:1794–805.Article

Cox J,Neuhauser N,Michalski A,Scheltema RA,Olsen JV,Mann M.Andromeda:集成到MaxQuant环境中的肽搜索引擎。J、 蛋白质组研究2011;10: 1794-805.文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Elias JE, Gygi SP. Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry. Nat Methods. 2007;4:207–14.Article

Elias JE,Gygi SP。目标诱饵搜索策略,用于通过质谱法提高大规模蛋白质鉴定的可信度。Nat方法。2007年;4:

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Baum N, Schiene-Fischer C, Frost M, Schumann M, Sabapathy K, Ohlenschläger O, et al. The prolyl cis/trans isomerase cyclophilin 18 interacts with the tumor suppressor p53 and modifies its functions in cell cycle regulation and apoptosis. Oncogene. 2009;28:3915–25.Article

Baum N,Schiene Fischer C,Frost M,Schumann M,Sabapathy K,Ohlenschläger O等。脯氨酰顺/反异构酶亲环蛋白18与肿瘤抑制因子p53相互作用,并修饰其在细胞周期调控和凋亡中的功能。致癌基因。2009年;28:3915–25.文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Perez-Riverol Y, Csordas A, Bai J, Bernal-Llinares M, Hewapathirana S, Kundu DJ, et al. The PRIDE database and related tools and resources in 2019: Improving support for quantification data. Nucleic Acids Res. 2019;47:D442–D450.Article

。核酸研究2019;47:D442–D450.文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Barrett T, Wilhite SE, Ledoux P, Evangelista C, Kim IF, Tomashevsky M, et al. NCBI GEO: archive for functional genomics data sets—update. Nucleic Acids Res. 2013;41:D991–5.Article

Barrett T,Wilhite SE,Ledoux P,Evangelista C,Kim IF,Tomashevsky M等。NCBI GEO:功能基因组学数据集更新档案。核酸研究2013;41:D991–5.文章

CAS

中科院

PubMed

PubMed

Google Scholar

谷歌学者

Download referencesAcknowledgementsWe gratefully acknowledge the FLI Core Facilities Next Generation Sequencing (Ivonne Görlich and Cornelia Luge) and Proteomics (Norman Rahnis, Erika K. Sacramento, and Emilio Ciri) for their technical support. We thank Bernhard Schlott for the kind gift of p53 antibody.

。我们感谢Bernhard Schlott提供p53抗体的礼物。

This work was supported by the German Research Foundation (DFG) [research grant FI 1993/2-1 and FI 1993/7-1 to M.F.] and the German Federal Ministry for Education and Research (BMBF) [031L016D to S.H.]. Funding for open access charge: Leibniz Institute on Aging—Fritz Lipmann Institute (FLI). The FLI is a member of the Leibniz Association and is financially supported by the Federal Government of Germany and the State of Thuringia.FundingOpen Access funding enabled and organized by Projekt DEAL.Author informationAuthors and AffiliationsComputational Biology Group, Leibniz Institute on Aging—Fritz Lipmann Institute (FLI), Jena, GermanyKatjana Schwab, Konstantin Riege, Luis Coronel, Silke Förste, Steve Hoffmann & Martin FischerKlinik für Innere Medizin II, Jena University Hospital, Comprehensive Cancer Center Central Germany, Jena, GermanyClara StankoInstitute of Molecular Cell Biology, Center for Molecular Biomedicine Jena (CMB), Jena University Hospital, Jena, GermanyClara StankoAuthorsKatjana SchwabView author publicationsYou can also search for this author in.

。开放获取费用的资金来源:莱布尼茨老龄化研究所弗里茨·利普曼研究所(FLI)。FLI是莱布尼茨协会的成员,由德国联邦政府和图林根州提供财政支持。资金开放获取资金由Projekt交易启用和组织。作者信息作者和附属机构计算生物学组,莱布尼茨老龄化研究所弗里茨·利普曼研究所(FLI),耶拿,德国斯坦贾纳·施瓦布,康斯坦丁·里格,路易斯·科罗内尔,西尔克·福斯特,史蒂夫·霍夫曼和马丁·菲舍克林尼克·弗内尔·梅迪津II,耶拿大学医院,德国中部综合癌症中心,耶拿,德国斯坦科拉分子细胞生物学研究所,耶拿分子生物医学中心(CMB),耶拿大学医院,耶拿也可以在中搜索此作者。

PubMed Google ScholarKonstantin RiegeView author publicationsYou can also search for this author in

PubMed Google ScholarLuis CoronelView author publicationsYou can also search for this author in

PubMed Google ScholarLuis CoronelView作者出版物您也可以在

PubMed Google ScholarClara StankoView author publicationsYou can also search for this author in

PubMed Google ScholarClara StankoView作者出版物您也可以在

PubMed Google ScholarSilke FörsteView author publicationsYou can also search for this author in

PubMed Google ScholarSilke FörsteView作者出版物您也可以在

PubMed Google ScholarSteve HoffmannView author publicationsYou can also search for this author in

PubMed Google ScholarSteve HoffmannView作者出版物您也可以在

PubMed Google ScholarMartin FischerView author publicationsYou can also search for this author in

PubMed Google ScholarMartin FischerView作者出版物您也可以在

PubMed Google ScholarContributionsMF conceived the study. MF and SH supervised the work. MF designed the experiments. KS, LC, CS, and SF performed the experiments. KR and MF performed the computational analyses. MF, KS, and SH interpreted the data. MF wrote the manuscript with the help of SH and KS.

PubMed谷歌学术贡献SMF构思了这项研究。MF和SH监督了这项工作。MF设计了实验。KS,LC,CS和SF进行了实验。KR和MF进行了计算分析。MF,KS和SH解释了数据。MF在SH和KS的帮助下撰写了手稿。

All authors read and approved the manuscript.Corresponding authorsCorrespondence to.

所有作者都阅读并批准了手稿。通讯作者通讯。

Steve Hoffmann or Martin Fischer.Ethics declarations

。道德宣言

Competing interests

相互竞争的利益

The authors declare no competing interests.

作者声明没有利益冲突。

Additional informationPublisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Supplementary informationSupplementary LegendsSupplementary Figure1Supplementary Figure2Supplementary Table 1Rights and permissions

Additional informationPublisher的注释Springer Nature在已发布的地图和机构隶属关系中的管辖权主张方面保持中立。补充信息补充图例补充图1补充图2补充表1权利和权限

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

开放获取本文是根据知识共享署名4.0国际许可证授权的,该许可证允许以任何媒体或格式使用,共享,改编,分发和复制,只要您对原始作者和来源给予适当的信任,提供知识共享许可证的链接,并指出是否进行了更改。

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

本文中的图像或其他第三方材料包含在文章的知识共享许可中,除非在材料的信用额度中另有说明。如果材料未包含在文章的知识共享许可证中,并且您的预期用途未被法律法规允许或超出允许的用途,则您需要直接获得版权所有者的许可。

To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/..

要查看此许可证的副本,请访问http://creativecommons.org/licenses/by/4.0/..

Reprints and permissionsAbout this articleCite this articleSchwab, K., Riege, K., Coronel, L. et al. p53 target ANKRA2 cooperates with RFX7 to regulate tumor suppressor genes.

转载和许可本文引用本文Schwab,K.,Riege,K.,Coronel,L。等人。p53靶标ANKRA2与RFX7合作调节肿瘤抑制基因。

Cell Death Discov. 10, 376 (2024). https://doi.org/10.1038/s41420-024-02149-2Download citationReceived: 04 May 2024Revised: 07 August 2024Accepted: 14 August 2024Published: 24 August 2024DOI: https://doi.org/10.1038/s41420-024-02149-2Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard.

细胞死亡发现。10376(2024)。https://doi.org/10.1038/s41420-024-02149-2Download引文接收日期:2024年5月4日修订日期:2024年8月7日接受日期:2024年8月14日发布日期:2024年8月24日OI:https://doi.org/10.1038/s41420-024-02149-2Share本文与您共享以下链接的任何人都可以阅读此内容:获取可共享链接对不起,本文目前没有可共享的链接。复制到剪贴板。

Provided by the Springer Nature SharedIt content-sharing initiative

由Springer Nature SharedIt内容共享计划提供