The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Multi-omics analyses of MEN1 missense mutations identify disruption of menin–MLL and menin–JunD interactions as critical requirements for molecular pathogenicity
Open accessPublished version of a preprint
Abstract
Background: Loss-of-function mutations of the multiple endocrine neoplasia type 1 ( MEN1 ) gene are causal to the MEN1 tumor syndrome, but they are also commonly found in sporadic pancreatic neuroendocrine tumors and other types of cancers. The MEN1 gene product, menin, is involved in transcriptional and chromatin regulation, most prominently as an integral component of KMT2A/MLL1 and KMT2B/MLL2 containing COMPASS-like histone H3K4 methyltransferase complexes. In a mutually exclusive fashion, menin also interacts with the JunD subunit of the AP-1 and ATF/CREB transcription factors. Results: Here, we applied and in silico screening approach for 253 disease-related MEN1 missense mutations in order to select a set of nine menin mutations in surface-exposed residues. The protein interactomes of these mutants were assessed by quantitative mass spectrometry, which indicated that seven of the nine mutants disrupt interactions with both MLL1/MLL2 and JunD complexes. Interestingly, we identified three missense mutations, R52G, E255K and E359K, which predominantly reduce the MLL1 and MLL2 interactions when compared with JunD. This observation was supported by a pronounced loss of binding of the R52G, E255K and E359K mutant proteins at unique MLL1 genomic binding sites with less effect on unique JunD sites. Conclusions: Our results underline the effects of MEN1 gene mutations in both familial and sporadic tumors of endocrine origin on the interactions of menin with the MLL1 and MLL2 histone H3K4 methyltransferase complexes and with JunD-containing transcription factors. Menin binding pocket mutants R52G, E255K and E359K have differential effects on MLL1/MLL2 and JunD interactions, which translate into differential genomic binding patterns. Our findings encourage future studies addressing the pathophysiological relevance of the separate MLL1/MLL2- and JunD-dependent functions of menin mutants in MEN1 disease model systems.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566 · cited 2×
“Intensity based absolute quantification (iBAQ) algorithm was also activated for subsequent relative protein abundance estimation (Schwanhäusser et al, 2011).”
MethodHoadley, K. A., Yau, C., Hinoue, T., Wolf, D. M., Lazar, A. J., Drill, E., Shen, R., Taylor, A. M., Cherniack, A. D., Thorsson, V., et al. (2018) · Cell · doi:10.1016/j.cell.2018.03.022 · Cited by 2,546 · cited 1×
“In addition, in recent years exome and whole genome sequencing studies have revealed MEN1 gene mutations in many types of cancer, such as adrenocortical, uterine, breast and other cancers (Hoadley et al, 2018).”
BackgroundSelf-citation
Flagged first, then by citations
Research works printed but not linked: 48
- Brandi ML, Agarwal SK, Perrier ND, Lines KE, Valk GD, Thakker RV. Multiple endocrine neoplasia type 1: latest insights. Endocr Rev. 2020;42(2):1333.
- Chandrasekharappa SC, Guru SC, Manickam P, Olufemi SE, Collins FS, Emmert-Buck MR, et al. Positional cloning of the gene for multiple endocrine neoplasia-type 1. Science. 1997;276(5311):404–7. · DOI
- Jiao Y, Shi C, Edil BH, de Wilde RF, Klimstra DS, Maitra A, et al. DAXX/ATRX, MEN1, and mTOR pathway genes are frequently altered in pancreatic neuroendocrine tumors. Science. 2011;331(6021):1199–203. · DOI
- Dreijerink KMA, Timmers HTM, Brown M. Twenty years of menin: emerging opportunities for restoration of transcriptional regulation in MEN1. Endocr Relat Cancer. 2017;24(10):T135–45. · DOI
- Hughes CM, Rozenblatt-Rosen O, Milne TA, Copeland TD, Levine SS, Lee JC, et al. Menin associates with a trithorax family histone methyltransferase complex and with the hoxc8 locus. Mol Cell. 2004;13(4):587–97. · DOI
- Lin W, Cao J, Liu J, Beshiri ML, Fujiwara Y, Francis J, et al. Loss of the retinoblastoma binding protein 2 (RBP2) histone demethylase suppresses tumorigenesis in mice lacking Rb1 or Men1. Proc Natl Acad Sci USA. 2011;108(33):13379–86. · DOI
- Huang J, Gurung B, Wan B, Matkar S, Veniaminova NA, Wan K, et al. The same pocket in menin binds both MLL and JUND but has opposite effects on transcription. Nature. 2012;482(7386):542–6. · DOI
- Agarwal SK, Guru SC, Heppner C, Erdos MR, Collins RM, Park SY, et al. Menin interacts with the AP1 transcription factor JunD and represses JunD-activated transcription. Cell. 1999;96(1):143–52. · DOI
- van Nuland R, Smits AH, Pallaki P, Jansen PW, Vermeulen M, Timmers HT. Quantitative dissection and stoichiometry determination of the human SET1/MLL histone methyltransferase complexes. Mol Cell Biol. 2013;33(10):2067–77. · DOI
- Grembecka J, He S, Shi A, Purohit T, Muntean AG, Sorenson RJ, et al. Menin-MLL inhibitors reverse oncogenic activity of MLL fusion proteins in leukemia. Nat Chem Biol. 2012;8(3):277–84. · DOI
- Ozyerli-Goknar E, Nizamuddin S, Timmers HTM. A box of chemistry to inhibit the MEN1 tumor suppressor gene promoting leukemia. ChemMedChem. 2021;16(9):1391–402. · DOI
- Yokoyama A, Somervaille TC, Smith KS, Rozenblatt-Rosen O, Meyerson M, Cleary ML. The menin tumor suppressor protein is an essential oncogenic cofactor for MLL-associated leukemogenesis. Cell. 2005;123(2):207–18. · DOI
- Dzama MM, Steiner M, Rausch J, Sasca D, Schönfeld J, Kunz K, et al. Synergistic targeting of FLT3 mutations in AML via combined menin-MLL and FLT3 inhibition. Blood. 2020;136(21):2442–56. · DOI
- Klossowski S, Miao H, Kempinska K, Wu T, Purohit T, Kim E, et al. Menin inhibitor MI-3454 induces remission in MLL1-rearranged and NPM1-mutated models of leukemia. J Clin Invest. 2020;130(2):981–97. · DOI
- Krivtsov AV, Evans K, Gadrey JY, Eschle BK, Hatton C, Uckelmann HJ, et al. A menin-MLL inhibitor induces specific chromatin changes and eradicates disease in models of MLL-rearranged leukemia. Cancer Cell. 2019;36(6):660-73.e11. · DOI
- Uckelmann HJ, Kim SM, Wong EM, Hatton C, Giovinazzo H, Gadrey JY, et al. Therapeutic targeting of preleukemia cells in a mouse model of. Science. 2020;367(6477):586–90. · DOI
- Issa GC, Ravandi F, DiNardo CD, Jabbour E, Kantarjian HM, Andreeff M. Therapeutic implications of menin inhibition in acute leukemias. Leukemia. 2021;35(9):2482–95. · DOI
- Zetoune AB, Fontanière S, Magnin D, Anczuków O, Buisson M, Zhang CX, et al. Comparison of nonsense-mediated mRNA decay efficiency in various murine tissues. BMC Genet. 2008;9:83. · DOI
- Canaff L, Vanbellinghen JF, Kanazawa I, Kwak H, Garfield N, Vautour L, et al. Menin missense mutants encoded by the MEN1 gene that are targeted to the proteasome: restoration of expression and activity by CHIP siRNA. J Clin Endocrinol Metab. 2012;97(2):E282–91. · DOI
- Yaguchi H, Ohkura N, Takahashi M, Nagamura Y, Kitabayashi I, Tsukada T. Menin missense mutants associated with multiple endocrine neoplasia type 1 are rapidly degraded via the ubiquitin-proteasome pathway. Mol Cell Biol. 2004;24(15):6569–80. · DOI
- Hou R, Manwaring LP, Moley JF, Whelan A. A novel missense mutation in the MEN1 gene in a patient with multiple endocrine neoplasia type 1. Endocr Pract. 2011;17(3):e63–7. · DOI
- Bartsch D, Kopp I, Bergenfelz A, Rieder H, Münch K, Jäger K, et al. MEN1 gene mutations in 12 MEN1 families and their associated tumors. Eur J Endocrinol. 1998;139(4):416–20. · DOI
- Jäger AC, Friis-Hansen L, Hansen TV, Eskildsen PC, Sølling K, Knigge U, et al. Characteristics of the Danish families with multiple endocrine neoplasia type 1. Mol Cell Endocrinol. 2006;249(1–2):123–32. · DOI
- Poncin J, Abs R, Velkeniers B, Bonduelle M, Abramowicz M, Legros JJ, et al. Mutation analysis of the MEN1 gene in Belgian patients with multiple endocrine neoplasia type 1 and related diseases. Hum Mutat. 1999;13(1):54–60. · DOI
- Wang EH, Ebrahimi SA, Wu AY, Kashefi C, Passaro E, Sawicki MP. Mutation of the MENIN gene in sporadic pancreatic endocrine tumors. Cancer Res. 1998;58(19):4417–20.
- Teh BT, Esapa CT, Houlston R, Grandell U, Farnebo F, Nordenskjöld M, et al. A family with isolated hyperparathyroidism segregating a missense MEN1 mutation and showing loss of the wild-type alleles in the parathyroid tumors. Am J Hum Genet. 1998;63(5):1544–9. · DOI
- Böni R, Vortmeyer AO, Pack S, Park WS, Burg G, Hofbauer G, et al. Somatic mutations of the MEN1 tumor suppressor gene detected in sporadic angiofibromas. J Invest Dermatol. 1998;111(3):539–40. · DOI
- Darling TN, Skarulis MC, Steinberg SM, Marx SJ, Spiegel AM, Turner M. Multiple facial angiofibromas and collagenomas in patients with multiple endocrine neoplasia type 1. Arch Dermatol. 1997;133(7):853–7. · DOI
- Dreijerink KM, Mulder KW, Winkler GS, Höppener JW, Lips CJ, Timmers HT. Menin links estrogen receptor activation to histone H3K4 trimethylation. Cancer Res. 2006;66(9):4929–35. · DOI
- Finka A, Sharma SK, Goloubinoff P. Multi-layered molecular mechanisms of polypeptide holding, unfolding and disaggregation by HSP70/HSP110 chaperones. Front Mol Biosci. 2015;2:29. · DOI
- Skene PJ, Henikoff JG, Henikoff S. Targeted in situ genome-wide profiling with high efficiency for low cell numbers. Nat Protoc. 2018;13(5):1006–19. · DOI · Paper page
- Koidl S, Timmers HTM. greenCUT&RUN: efficient genomic profiling of GFP-tagged transcription factors and chromatin regulators. Curr Protoc. 2021;1(10):e266. · DOI
- Nizamuddin S, Koidl S, Bhuiyan T, Werner TV, Biniossek ML, Bonvin AMJJ, et al. Integrating quantitative proteomics with accurate genome profiling of transcription factors by greenCUT&RUN. Nucleic Acids Res. 2021;49(9):e49. · DOI
- Dreijerink KMA, Groner AC, Vos ESM, Font-Tello A, Gu L, Chi D, et al. Enhancer-mediated oncogenic function of the menin tumor suppressor in breast cancer. Cell Rep. 2017;18(10):2359–72. · DOI
- Amin R, Shukla A, Zhu JJ, Kim S, Wang P, Tian SZ, et al. Nuclear pore protein NUP210 depletion suppresses metastasis through heterochromatin-mediated disruption of tumor cell mechanical response. Nat Commun. 2021;12(1):7216. · DOI
- Biancaniello C, D’Argenio A, Giordano D, Dotolo S, Scafuri B, Marabotti A, et al. Investigating the effects of amino acid variations in human menin. Molecules. 2022;27(5):1747. · DOI
- Caswell RC, Owens MM, Gunning AC, Ellard S, Wright CF. Using structural analysis. J Endocr Soc. 2019;3(12):2258–75. · DOI
- Antonova SV, Haffke M, Corradini E, Mikuciunas M, Low TY, Signor L, et al. Chaperonin CCT checkpoint function in basal transcription factor TFIID assembly. Nat Struct Mol Biol. 2018;25(12):1119–27. · DOI
- Shimazu S, Nagamura Y, Yaguchi H, Ohkura N, Tsukada T. Correlation of mutant menin stability with clinical expression of multiple endocrine neoplasia type 1 and its incomplete forms. Cancer Sci. 2011;102(11):2097–102. · DOI
- Yang X, Pan Y, Qiu Z, Du Z, Zhang Y, Fa P, et al. RNF126 as a biomarker of a poor prognosis in invasive breast cancer and CHEK1 inhibitor efficacy in breast cancer cells. Clin Cancer Res. 2018;24(7):1629–43. · DOI
- Pettersen EF, Goddard TD, Huang CC, Couch GS, Greenblatt DM, Meng EC, et al. UCSF Chimera–a visualization system for exploratory research and analysis. J Comput Chem. 2004;25(13):1605–12. · DOI
- Dreijerink KM, Varier RA, van Beekum O, Jeninga EH, Höppener JW, Lips CJ, et al. The multiple endocrine neoplasia type 1 (MEN1) tumor suppressor regulates peroxisome proliferator-activated receptor gamma-dependent adipocyte differentiation. Mol Cell Biol. 2009;29(18):5060–9. · DOI
- Spruijt CG, Baymaz HI, Vermeulen M. Identifying specific protein-DNA interactions using SILAC-based quantitative proteomics. Methods Mol Biol. 2013;977:137–57. · DOI
- Tyanova S, Temu T, Cox J. The MaxQuant computational platform for mass spectrometry-based shotgun proteomics. Nat Protoc. 2016;11(12):2301–19. · DOI
- Sequence read archive. https://www.ncbi.nlm.nih.gov/sra. Accessed 27 June 2022.
- Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Method. 2012;9(4):357–9. · DOI · Paper page
- Ramírez F, Dündar F, Diehl S, Grüning BA, Manke T. deepTools: a flexible platform for exploring deep-sequencing data. Nucleic Acids Res. 2014;42:W187–91. · DOI · Paper page
- Tarasov A, Vilella AJ, Cuppen E, Nijman IJ, Prins P. Sambamba: fast processing of NGS alignment formats. Bioinformatics. 2015;31(12):2032–4. · DOI
Metadata
- Authors
- Dreijerink, K. M. A., Ozyerli-Goknar, E., Koidl, S., van der Lelij, E. J., van den Heuvel, P., Kooijman, J. J., Biniossek, M. L., Rodenburg, K. W., Nizamuddin, S., & Timmers, H. T. M.
- Affiliations
- Amsterdam University Medical Centers (NL)
- University of Freiburg (DE)
- Avans University of Applied Sciences (NL)
- Corresponding author
- Timmers, H. T. Marc
- Venue
- Epigenetics & Chromatin
- Published
- 2022-08-09
- Volume
- 15
- Issue
- 1
- Pages
- 29-29
- ISSN
- 1756-8935 (ISSN-L)
- PMC
- PMC9361535
- OpenAlex
- W4290738711
- Cited by
- 14
- References
- 2
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 3 · 2023: 4
- FWCI
- 1.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Epigenetics & Chromatin (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (acceptedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Deutsche Forschungsgemeinschaft (SFB850 subproject B9, TI688/1-1, 192904750-SFB 992)
- Deutsches Krebsforschungszentrum (DKFZ)
- Topics
- Health Sciences › Medicine › Oncology › Neuroendocrine Tumor Research Advances
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Keywords
- MEN1, menin, missense mutations, MLL1, KMT2D, JunD, AP-1, protein-protein interaction, protein-protein interaction network, pancreatic neuroendocrine tumors, multiple endocrine neoplasia type 1, transcriptional regulation, chromatin regulation
- MeSH terms
- Histones, Humans, Proto-Oncogene Proteins, Transcription Factors, Virulence, Proto-Oncogene Proteins c-jun, Multiple Endocrine Neoplasia Type 1, Mutation, Missense
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review