Abstract
Activation of the pro-apoptotic genes by the p53 family is a critical step in induction of apoptosis. However, the molecular signaling underlying their suppression remains largely unknown. Here, we report a general role of QSER1 in preventing apoptosis. QSER1 is widely up-regulated in multiple cancers, and its up-regulation correlates with poor clinic outcomes. QSER1 knockdown significantly promotes apoptosis in both p53 wild type and mutant cancer cells. Interestingly, we show that QSER1 and p53 occupy distinct cis-regulatory regions in a common subset of the pro-apoptotic genes, and function antagonistically to maintain their proper expression. Furthermore, we identify a key regulatory DNA element named QSER1 binding site in PUMA (QBP). Deletion of QBP de-represses PUMA and induces apoptosis. Mechanistically, QSER1 functions together with SIN3A to suppress PUMA in a p53-dependent and -independent manner, suggesting that QSER1 inhibition might be a potential therapeutic strategy to induce apoptosis in cancers.
This is a preview of subscription content, access via your institution
Access options
Subscribe to Journal
Get full journal access for 1 year
$119.00
only $9.92 per issue
All prices are NET prices.
VAT will be added later in the checkout.
Tax calculation will be finalised during checkout.
Buy article
Get time limited or full article access on ReadCube.
$32.00
All prices are NET prices.







Data availability
The ChIP-seq and RNA-seq data were deposited in the GEO dataset under the accession number GSE180229. This paper does not report original code.
Code availability
The ChIP-seq and RNA-seq data were deposited in the GEO dataset under the accession number GSE180229. This paper does not report original code.
References
Fuchs Y, Steller H. Programmed cell death in animal development and disease. Cell 2011;147:742–58.
Hanahan D, Weinberg RA. The hallmarks of cancer. Cell 2000;100:57–70.
Chen J. The cell-cycle arrest and apoptotic functions of p53 in tumor initiation and progression. Cold Spring Harb Perspect Med. 2016;6:a026104.
Fischer M. Census and evaluation of p53 target genes. Oncogene. 2017;36:3943–56.
Muller PA, Vousden KH. Mutant p53 in cancer: new functions and therapeutic opportunities. Cancer Cell. 2014;25:304–17.
Duffy MJ, Synnott NC, Crown J. Mutant p53 as a target for cancer treatment. Eur J Cancer. 2017;83:258–65.
Yu J, Zhang L, Hwang PM, Kinzler KW, Vogelstein B. PUMA induces the rapid apoptosis of colorectal cancer cells. Mol Cell. 2001;7:673–82.
Chen L, Willis SN, Wei A, Smith BJ, Fletcher JI, Hinds MG, et al. Differential targeting of prosurvival Bcl-2 proteins by their BH3-only ligands allows complementary apoptotic function. Mol Cell. 2005;17:393–403.
Yu J, Zhang L. PUMA, a potent killer with or without p53. Oncogene. 2008;27:S71–83. Suppl 1
Yu J, Zhang L. No PUMA, no death: implications for p53-dependent apoptosis. Cancer Cell. 2003;4:248–9.
Mullokandov MR, Kholodilov NG, Atkin NB, Burk RD, Johnson AB, Klinger HP. Genomic alterations in cervical carcinoma: losses of chromosome heterozygosity and human papilloma virus tumor status. Cancer Res. 1996;56:197–205.
Giampietro PF. 50 years ago in the journal of pediatrics: understanding the molecular basis of 11p13 deletion. J pediatrics. 2021;230:61.
Seabra CM, Quental S, Neto AP, Carvalho F, Gonçalves J, Oliveira JP, et al. A novel Alu-mediated microdeletion at 11p13 removes WT1 in a patient with cryptorchidism and azoospermia. Reprod Biomed Online. 2014;29:388–91.
Latourelle JC, Pankratz N, Dumitriu A, Wilk JB, Goldwurm S, Pezzoli G, et al. Genomewide association study for onset age in Parkinson disease. BMC Med Genet. 2009;10:98.
Barbitoff YA, Serebryakova EA, Nasykhova YA, Predeus AV, Polev DE, Shuvalova AR, et al. Identification of novel candidate markers of type 2 diabetes and obesity in russia by exome sequencing with a limited sample size. Genes. 2018;9.
Dufresne J, Bowden P, Thavarajah T, Florentinus-Mefailoski A, Chen ZZ, Tucholska M, et al. The plasma peptides of breast versus ovarian cancer. Clin Proteom. 2019;16:43.
Dixon G, Pan H, Yang D, Rosen BP, Jashari T, Verma N, et al. QSER1 protects DNA methylation valleys from de novo methylation. Science. 2021;372.
Wang Y, Shen Y, Dai Q, Yang Q, Zhang Y, Wang X, et al. A permissive chromatin state regulated by ZFP281-AFF3 in controlling the imprinted Meg3 polycistron. Nucleic Acids Res. 2017;45:1177–85.
Dai Q, Shen Y, Wang Y, Wang X, Francisco JC, Luo Z, et al. Striking a balance: regulation of transposable elements by Zfp281 and Mll2 in mouse embryonic stem cells. Nucleic Acids Res. 2017;45:12301–10.
Wang Y, Ma B, Liu X, Gao G, Che Z, Fan M, et al. ZFP281-BRCA2 prevents R-loop accumulation during DNA replication. Nat Commun. 2022;13:3493.
Luo Z, Liu X, Xie H, Wang Y, Lin C. ZFP281 recruits MYC to active promoters in regulating transcriptional initiation and elongation. Mol Cell Biol. 2019;39.
Chandrashekar DS, Bashel B, Balasubramanya SAH, Creighton CJ, Ponce-Rodriguez I, Chakravarthi B, et al. UALCAN: a portal for facilitating tumor subgroup gene expression and survival analyses. Neoplasia. 2017;19:649–58.
Hafner A, Bulyk ML, Jambhekar A, Lahav G. The multiple mechanisms that regulate p53 activity and cell fate. Nat Rev Mol Cell Biol. 2019;20:199–210.
Chen L, Liu S, Tao Y. Regulating tumor suppressor genes: post-translational modifications. Signal Transduct Target Ther. 2020;5:90.
Kreis NN, Sanhaji M, Kramer A, Sommer K, Rodel F, Strebhardt K, et al. Restoration of the tumor suppressor p53 by downregulating cyclin B1 in human papillomavirus 16/18-infected cancer cells. Oncogene. 2010;29:5591–603.
Choi BK, Dayaram T, Parikh N, Wilkins AD, Nagarajan M, Novikov IB, et al. Literature-based automated discovery of tumor suppressor p53 phosphorylation and inhibition by NEK2. Proc Natl Acad Sci USA. 2018;115:10666–71.
Li Y, Cui K, Zhang Q, Li X, Lin X, Tang Y, et al. FBXL6 degrades phosphorylated p53 to promote tumor growth. Cell Death Differ. 2021;28:2112–25.
Chan C, Thurnherr T, Wang J, Gallart-Palau X, Sze SK, Rozen S, et al. Global re-wiring of p53 transcription regulation by the hepatitis B virus X protein. Mol Oncol. 2016;10:1183–95.
Bykov VJN, Eriksson SE, Bianchi J, Wiman KG. Targeting mutant p53 for efficient cancer therapy. Nat Rev Cancer. 2018;18:89–102.
Chipuk JE, Kuwana T, Bouchier-Hayes L, Droin NM, Newmeyer DD, Schuler M, et al. Direct activation of Bax by p53 mediates mitochondrial membrane permeabilization and apoptosis. Science. 2004;303:1010–4.
Dai H, Pang YP, Ramirez-Alvarado M, Kaufmann SH. Evaluation of the BH3-only protein Puma as a direct Bak activator. J Biol Chem. 2014;289:89–99.
Johnstone RW, Ruefli AA, Lowe SW. Apoptosis: a link between cancer genetics and chemotherapy. Cell. 2002;108:153–64.
Adams JM, Cory S. The Bcl-2 apoptotic switch in cancer development and therapy. Oncogene. 2007;26:1324–37.
Bauer A, Villunger A, Labi V, Fischer SF, Strasser A, Wagner H, et al. The NF-kappaB regulator Bcl-3 and the BH3-only proteins Bim and Puma control the death of activated T cells. Proc Natl Acad Sci USA. 2006;103:10979–84.
Fernandez PC, Frank SR, Wang L, Schroeder M, Liu S, Greene J, et al. Genomic targets of the human c-Myc protein. Genes Dev. 2003;17:1115–29.
Galehdar Z, Swan P, Fuerth B, Callaghan SM, Park DS, Cregan SP. Neuronal apoptosis induced by endoplasmic reticulum stress is regulated by ATF4-CHOP-mediated induction of the Bcl-2 homology 3-only member PUMA. J Neurosci. 2010;30:16938–48.
Hershko T, Ginsberg D. Up-regulation of Bcl-2 homology 3 (BH3)-only proteins by E2F1 mediates apoptosis. J Biol Chem. 2004;279:8627–34.
Kerr JB, Hutt KJ, Michalak EM, Cook M, Vandenberg CJ, Liew SH, et al. DNA damage-induced primordial follicle oocyte apoptosis and loss of fertility require TAp63-mediated induction of Puma and Noxa. Mol Cell. 2012;48:343–52.
Bansal N, David G, Farias E, Waxman S. Emerging roles of epigenetic regulator Sin3 in cancer. Adv Cancer Res. 2016;130:113–35.
Zhu F, Zhu Q, Ye D, Zhang Q, Yang Y, Guo X, et al. Sin3a-Tet1 interaction activates gene transcription and is required for embryonic stem cell pluripotency. Nucleic Acids Res. 2018;46:6026–40.
Ladds M, Lain S. Small molecule activators of the p53 response. J Mol Cell Biol. 2019;11:245–54.
Lin C, Smith ER, Takahashi H, Lai KC, Martin-Brown S, Florens L, et al. AFF4, a component of the ELL/P-TEFb elongation complex and a shared subunit of MLL chimeras, can link transcription elongation to leukemia. Mol Cell. 2010;37:429–37.
Guo C, Che Z, Yue J, Xie P, Hao S, Xie W, et al. ENL initiates multivalent phase separation of the super elongation complex (SEC) in controlling rapid transcriptional activation. Sci Adv. 2020;6:eaay4858.
Trapnell CRA, Goff L, Pertea G, Kim D, Kelley DR. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nat Protoc. 2012;7:562–78.
Zhou Y, Zhou B, Pache L, Chang M, Chanda SK. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat Commun. 2019;10.
Huang DW, Sherman BT, Lempicki RA. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc. 2009;4:44.
Ginestet C. ggplot2: elegant graphics for data analysis. J R Stat Soc. 2011;174:245–6.
Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9:357–9.
Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, et al. The sequence alignment/map format and SAMtools. Bioinformatics. 2009;25:2078–9.
Heinz S, Benner C, Spann N, Bertolino E, Lin YC, Laslo P, et al. Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities—ScienceDirect. Mol Cell. 2010;38:576–89.
Guangchuang Y, Li-Gen W, Qing-Yu H. ChIPseeker: an R/bioconductor package for ChIP peak annotation, comparison and visualization. Bioinformatics. 2015;31:2382–3.
Fidel R, Ryan DP, Björn G, Vivek B, Fabian K, Richter AS, et al. deepTools2: a next generation web server for deep-sequencing data analysis. Nucleic Acids Res. 2016:W160-W5.
Quinlan AR, Hall IM, Quinlan AR, Hall IM. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics. 2010;26:841–2.
Mclean CY, Bristor D, Hiller M, Clarke SL, Schaar BT, Lowe CB, et al. GREAT improves functional interpretation of cis-regulatory regions. Nat Biotechnol. 2010;28:495–501.
Acknowledgements
The authors are grateful to the Lin & Luo lab members for helpful discussion of this study. We thank Prof. Min Wu from Wuhan University for providing HCT116 WT and p53 KO cell lines, and Prof. Kai Chen and Mr. Quanyong Zhang from Kunming University of Science and Technology for the technical support.
Funding
Studies in this paper were supported by funds provided by National Key R&D Program of China (2018YFA0800100 to CL), National Natural Science Foundation of China (32030017, 31970617 to CL; 31970626 to ZL), Shenzhen Science and Technology Program (JCYJ20210324133602008 to CL; JCYJ20210324133601005 to ZL), Jiangsu Provincial Key Laboratory of Critical Care Medicine (JSKLCCM-2021–01–004 to ZL), Fundamental Research Funds for the Central Universities and ZhiShan Scholar Program of Southeast University (2242022R40063 to KF).
Author information
Authors and Affiliations
Contributions
KF, CL, and ZL designed the study, and wrote the manuscript with the assistance of the other authors. XZ, KF, RY, FL, YW, M.F., and SH performed the experiments. XZ, KF, XL, MW, YL, JH, CL, and ZL analyzed the data. CG collected and analyzed the clinical data. WH discussed and wrote the manuscript. CL and ZL provided resources, funding, and supervised the work.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Edited by K. Newton
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Zhao, X., Fang, K., Liu, X. et al. QSER1 preserves the suppressive status of the pro-apoptotic genes to prevent apoptosis. Cell Death Differ (2022). https://doi.org/10.1038/s41418-022-01085-x
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41418-022-01085-x