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Mitochondrial metabolic imbalance drives diploidization in mouse haploid embryonic stem cells via NADPH overload
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  • Published: 24 March 2026

Mitochondrial metabolic imbalance drives diploidization in mouse haploid embryonic stem cells via NADPH overload

  • Giulio Di Minin  ORCID: orcid.org/0000-0003-4356-69391,2 na1,
  • Anna B. Rüegg  ORCID: orcid.org/0000-0003-1848-06581,3 na1,
  • Kevin Halter  ORCID: orcid.org/0009-0001-6974-89361,
  • Tobias Fuhrer  ORCID: orcid.org/0000-0001-5006-68744,5,
  • Tatjana Kleele  ORCID: orcid.org/0000-0001-5320-73376,
  • Nicola Zamboni  ORCID: orcid.org/0000-0003-1271-10214 &
  • …
  • Anton Wutz  ORCID: orcid.org/0000-0002-4377-63301 

Nature Communications , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Cytokines
  • Embryonic stem cells
  • Metabolomics
  • Mitosis

Abstract

A hallmark of mammals is a diploid genome. Despite constraints from dosage compensation and imprinting, haploid embryonic stem cells can be established. However, rapid diploidization is observed in such cultures from mice, rats, and humans, limiting their use and indicating counterselection of a haploid genome. Here, we use metabolic profiling to discover that diploidization is triggered by an imbalance that arises from a smaller cytoplasmic volume and increased mitochondrial density. Reduced respiration causes a change in redox potential, leading to increased NADPH. Conversely, we demonstrate that NADPH oxidation in the mitochondria is sufficient to stabilize the haploid genome. We further show that the redox change leads to reduced AURORA kinase activation on chromosomes, connecting metabolic state to mitotic regulation. Our data, therefore, identify a mitochondrial metabolic imbalance as the root cause of diploidization and connect redox dysregulation to karyotypic instability.

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Data availability

The RNA seq data of haplod and diploid ESC samples generated in this study have been deposited in the Sequence Read Archive (SRA) database under accession code PRJNA1390253. The raw data underlying the figures are provided as a Source data file. G.D.M. or A.W. may be contacted for additional details on the protocols that support the findings of this study. Source data are provided with this paper.

References

  1. Orr-Weaver, T. L. When bigger is better: the role of polyploidy in organogenesis. Trends Genet. 31, 307–315 (2015).

    Google Scholar 

  2. Morris, J. P., Baslan, T., Soltis, D. E., Soltis, P. S. & Fox, D. T. Integrating the study of polyploidy across organisms, tissues, and disease. Annu. Rev. Genet. 58, 297–318 (2024).

    Google Scholar 

  3. Bogart, J. P. Gynogenetic diploids, tetraploids, or octoploids, and a path to polyploidy in anuran amphibians. Genome 64, 1053–1065 (2021).

    Google Scholar 

  4. Miller, K. E., Cadart, C. & Heald, R. Dodecaploid Xenopus longipes provides insight into the emergence of size scaling relationships during development. Curr. Biol. 33, 1327–1336 (2023).

    Google Scholar 

  5. Mezzasalma, M., Brunelli, E., Odierna, G. & Guarino, F. M. Evolutionary and genomic diversity of true polyploidy in tetrapods. Animals 13, https://doi.org/10.3390/ani13061033 (2023).

  6. Cadart, C., Bartz, J., Oaks, G., Liu, M. Z. & Heald, R. Polyploidy in Xenopus lowers metabolic rate by decreasing total cell surface area. Curr. Biol. 33, 1744–1752 (2023).

    Google Scholar 

  7. Kamel, S., Marsden, J. E. & Pough, F. H. Diploid and tetraploid grey treefrogs (Hyla chrysoscelis and Hyla versicolor) have similar metabolic rates. Comp. Biochem Physiol. A Comp. Physiol. 82, 217–220 (1985).

    Google Scholar 

  8. Glazier, D. S. How metabolic rate relates to cell size. Biology 11, https://doi.org/10.3390/biology11081106 (2022).

  9. Zhou, C. Y. et al. Mitotic chromosomes scale to nuclear-cytoplasmic ratio and cell size in Xenopus. Elife 12, https://doi.org/10.7554/eLife.84360 (2023).

  10. Weeks, A. R., Marec, F. & Breeuwer, J. A. A mite species that consists entirely of haploid females. Science 292, 2479–2482 (2001).

    Google Scholar 

  11. Yaguchi, K. et al. Haploidy-linked cell proliferation defects limit larval growth in zebrafish. Open Biol. 14, 240126 (2024).

    Google Scholar 

  12. Ellinger, M. S. & Murphy, J. A. Cellular morphology in haploid amphibian embryos. J. Embryol. Exp. Morphol. 59, 249–261 (1980).

    Google Scholar 

  13. Ross, L., Davies, N. G. & Gardner, A. How to make a haploid male. Evol. Lett. 3, 173–184 (2019).

    Google Scholar 

  14. Bachtrog, D. et al. Sex determination: why so many ways of doing it? PLoS Biol. 12, e1001899 (2014).

    Google Scholar 

  15. Beukeboom, L. W. et al. Haploid females in the parasitic wasp Nasonia vitripennis. Science 315, 206 (2007).

    Google Scholar 

  16. Wutz, A. Haploid animal cells. Development 141, 1423–1426 (2014).

    Google Scholar 

  17. Leeb, M. et al. Germline potential of parthenogenetic haploid mouse embryonic stem cells. Development 139, 3301–3305 (2012).

    Google Scholar 

  18. Leeb, M. & Wutz, A. Derivation of haploid embryonic stem cells from mouse embryos. Nature 479, 131–134 (2011).

    Google Scholar 

  19. Elling, U. et al. Forward and reverse genetics through derivation of haploid mouse embryonic stem cells. Cell Stem Cell 9, 563–574 (2011).

    Google Scholar 

  20. Sagi, I. et al. Derivation and differentiation of haploid human embryonic stem cells. Nature 532, 107–111 (2016).

    Google Scholar 

  21. Zhong, C. et al. Generation of human haploid embryonic stem cells from parthenogenetic embryos obtained by microsurgical removal of male pronucleus. Cell Res. 26, 743–746 (2016).

    Google Scholar 

  22. Li, W. et al. Androgenetic haploid embryonic stem cells produce live transgenic mice. Nature 490, 407–411 (2012).

    Google Scholar 

  23. Li, W. et al. Genetic modification and screening in rat using haploid embryonic stem cells. Cell Stem Cell 14, 404–414 (2014).

    Google Scholar 

  24. Yang, H. et al. Generation of haploid embryonic stem cells from Macaca fascicularis monkey parthenotes. Cell Res 23, 1187–1200 (2013).

    Google Scholar 

  25. Wang, H. et al. Genetic screening and multipotency in rhesus monkey haploid neural progenitor cells. Development 145, https://doi.org/10.1242/dev.160531 (2018).

  26. Essletzbichler, P. et al. Megabase-scale deletion using CRISPR/Cas9 to generate a fully haploid human cell line. Genome Res. 24, 2059–2065 (2014).

    Google Scholar 

  27. Kotecki, M., Reddy, P. S. & Cochran, B. H. Isolation and characterization of a near-haploid human cell line. Exp. Cell Res. 252, 273–280 (1999).

    Google Scholar 

  28. Freimann, R. & Wutz, A. A fast and efficient size separation method for haploid embryonic stem cells. Biomicrofluidics 11, 054117 (2017).

    Google Scholar 

  29. Qu, C. et al. Haploid embryonic stem cells can be enriched and maintained by simple filtration. J. Biol. Chem. 293, 5230–5235 (2018).

    Google Scholar 

  30. Sun, S. et al. BCL2 is a major regulator of haploidy maintenance in murine embryonic stem cells. Cell Prolif. 56, e13498 (2023).

    Google Scholar 

  31. Zhang, W. et al. Inhibition of apoptosis reduces diploidization of haploid mouse embryonic stem cells during differentiation. Stem Cell Rep. 15, 185–197 (2020).

    Google Scholar 

  32. Olbrich, T. et al. A p53-dependent response limits the viability of mammalian haploid cells. Proc. Natl. Acad. Sci. USA 114, 9367–9372 (2017).

    Google Scholar 

  33. Olbrich, T. et al. A chemical screen identifies compounds capable of selecting for haploidy in mammalian cells. Cell Rep. 28, 597–604 (2019).

    Google Scholar 

  34. He, Z. Q. et al. Generation of mouse haploid somatic cells by small molecules for genome-wide genetic screening. Cell Rep. 20, 2227–2237 (2017).

    Google Scholar 

  35. Takahashi, S. et al. Induction of the G2/M transition stabilizes haploid embryonic stem cells. Development 141, 3842–3847 (2014).

    Google Scholar 

  36. He, W. et al. Reduced self-diploidization and improved survival of semi-cloned mice produced from androgenetic haploid embryonic stem cells through overexpression of Dnmt3b. Stem Cell Rep. 10, 477–493 (2018).

    Google Scholar 

  37. Zhang, G. et al. A genetic screen identifies Etl4-deficiency capable of stabilizing the haploidy in embryonic stem cells. Stem Cell Rep. 16, 29–38 (2021).

    Google Scholar 

  38. Yaguchi, K. et al. Uncoordinated centrosome cycle underlies the instability of non-diploid somatic cells in mammals. J. Cell Biol. 217, 2463–2483 (2018).

    Google Scholar 

  39. York, A. G. et al. Instant super-resolution imaging in live cells and embryos via analog image processing. Nat. Methods 10, 1122–1126 (2013).

    Google Scholar 

  40. Xie, N. et al. NAD(+) metabolism: pathophysiologic mechanisms and therapeutic potential. Signal Transduct. Target Ther. 5, 227 (2020).

    Google Scholar 

  41. Hayes, J. D., Dinkova-Kostova, A. T. & Tew, K. D. Oxidative stress in cancer. Cancer Cell 38, 167–197 (2020).

    Google Scholar 

  42. Xiao, W., Wang, R. S., Handy, D. E. & Loscalzo, J. NAD(H) and NADP(H) redox couples and cellular energy metabolism. Antioxid. Redox Signal. 28, 251–272 (2018).

    Google Scholar 

  43. Mullen, A. R. et al. Reductive carboxylation supports growth in tumour cells with defective mitochondria. Nature 481, 385–388 (2011).

    Google Scholar 

  44. Metallo, C. M. et al. Reductive glutamine metabolism by IDH1 mediates lipogenesis under hypoxia. Nature 481, 380–384 (2011).

    Google Scholar 

  45. Zhang, D. X., Zou, A. P. & Li, P. L. Ceramide-induced activation of NADPH oxidase and endothelial dysfunction in small coronary arteries. Am. J. Physiol. Heart Circ. Physiol. 284, H605–H612 (2003).

    Google Scholar 

  46. Titov, D. V. et al. Complementation of mitochondrial electron transport chain by manipulation of the NAD+/NADH ratio. Science 352, 231–235 (2016).

    Google Scholar 

  47. Cracan, V., Titov, D. V., Shen, H., Grabarek, Z. & Mootha, V. K. A genetically encoded tool for manipulation of NADP(+)/NADPH in living cells. Nat. Chem. Biol. 13, 1088–1095 (2017).

    Google Scholar 

  48. Yang, R. et al. Identification of purine biosynthesis as an NADH-sensing pathway to mediate energy stress. Nat. Commun. 13, 7031 (2022).

    Google Scholar 

  49. Tsogtbaatar, E., Landin, C., Minter-Dykhouse, K. & Folmes, C. D. L. Energy metabolism regulates stem cell pluripotency. Front. Cell Dev. Biol. 8, 87 (2020).

    Google Scholar 

  50. Handy, D. E. & Loscalzo, J. Redox regulation of mitochondrial function. Antioxid. Redox Signal. 16, 1323–1367 (2012).

    Google Scholar 

  51. Donthamsetty, S. et al. Mitochondrial genome regulates mitotic fidelity by maintaining centrosomal homeostasis. Cell Cycle 13, 2056–2063 (2014).

    Google Scholar 

  52. Cheng, A. et al. A mitotic NADPH upsurge promotes chromosome segregation and tumour progression in aneuploid cancer cells. Nat. Metab. 5, 1141–1158 (2023).

    Google Scholar 

  53. Hochegger, H., Hegarat, N. & Pereira-Leal, J. B. Aurora at the pole and equator: overlapping functions of aurora kinases in the mitotic spindle. Open Biol. 3, 120185 (2013).

    Google Scholar 

  54. Brand, M. D. & Nicholls, D. G. Assessing mitochondrial dysfunction in cells. Biochem. J. 435, 297–312 (2011).

    Google Scholar 

  55. Dikalova, A. E. et al. Therapeutic targeting of mitochondrial superoxide in hypertension. Circ. Res. 107, 106–116 (2010).

    Google Scholar 

  56. Lagouge, M. et al. Resveratrol improves mitochondrial function and protects against metabolic disease by activating SIRT1 and PGC-1alpha. Cell 127, 1109–1122 (2006).

    Google Scholar 

  57. Borra, M. T., Smith, B. C. & Denu, J. M. Mechanism of human SIRT1 activation by resveratrol. J. Biol. Chem. 280, 17187–17195 (2005).

    Google Scholar 

  58. Glazier, D. S. Metabolic level and size scaling of rates of respiration and growth in unicellular organisms. Funct. Ecol. 23, 963–968 (2009).

    Google Scholar 

  59. Cadart, C. & Heald, R. Scaling of biosynthesis and metabolism with cell size. Mol. Biol. Cell 33, https://doi.org/10.1091/mbc.E21-12-0627 (2022).

  60. Miettinen, T. P. & Bjorklund, M. Mitochondrial function and cell size: an allometric relationship. Trends Cell Biol. 27, 393–402 (2017).

    Google Scholar 

  61. Faccenda, D. & Campanella, M. Molecular regulation of the mitochondrial F(1)F(o)-ATPsynthase: physiological and pathological significance of the inhibitory factor 1 (IF(1)). Int. J. Cell Biol. 2012, 367934 (2012).

    Google Scholar 

  62. Rydstrom, J. Mitochondrial NADPH, transhydrogenase and disease. Biochim. Biophys. Acta 1757, 721–726 (2006).

    Google Scholar 

  63. Kampjut, D. & Sazanov, L. A. Structure and mechanism of mitochondrial proton-translocating transhydrogenase. Nature 573, 291–295 (2019).

    Google Scholar 

  64. Hoek, J. B. & Rydstrom, J. Physiological roles of nicotinamide nucleotide transhydrogenase. Biochem. J. 254, 1–10 (1988).

    Google Scholar 

  65. Wise, D. R. et al. Hypoxia promotes isocitrate dehydrogenase-dependent carboxylation of alpha-ketoglutarate to citrate to support cell growth and viability. Proc. Natl. Acad. Sci. USA 108, 19611–19616 (2011).

    Google Scholar 

  66. Lewis, C. A. et al. Tracing compartmentalized NADPH metabolism in the cytosol and mitochondria of mammalian cells. Mol. Cell 55, 253–263 (2014).

    Google Scholar 

  67. Sazanov, L. A. & Jackson, J. B. Proton-translocating transhydrogenase and NAD- and NADP-linked isocitrate dehydrogenases operate in a substrate cycle which contributes to fine regulation of the tricarboxylic acid cycle activity in mitochondria. FEBS Lett. 344, 109–116 (1994).

    Google Scholar 

  68. Niu, X. et al. Cytosolic and mitochondrial NADPH fluxes are independently regulated. Nat. Chem. Biol. 19, 837–845 (2023).

    Google Scholar 

  69. Galli, M. & Morgan, D. O. Cell size determines the strength of the spindle assembly checkpoint during embryonic development. Dev. Cell 36, 344–352 (2016).

    Google Scholar 

  70. Welburn, J. P. et al. Aurora B phosphorylates spatially distinct targets to differentially regulate the kinetochore-microtubule interface. Mol. Cell 38, 383–392 (2010).

    Google Scholar 

  71. DeHart, D. N., Lemasters, J. J. & Maldonado, E. N. Erastin-like anti-warburg agents prevent mitochondrial depolarization induced by free tubulin and decrease lactate formation in cancer cells. SLAS Discov. 23, 23–33 (2018).

    Google Scholar 

  72. Vander Heiden, M. G. et al. Outer mitochondrial membrane permeability can regulate coupled respiration and cell survival. Proc. Natl. Acad. Sci. USA 97, 4666–4671 (2000).

    Google Scholar 

  73. Brenner, C. et al. Bcl-2 and Bax regulate the channel activity of the mitochondrial adenine nucleotide translocator. Oncogene 19, 329–336 (2000).

    Google Scholar 

  74. Dube, H. et al. A mitochondrial-targeted cyclosporin A with high binding affinity for cyclophilin D yields improved cytoprotection of cardiomyocytes. Biochem J. 441, 901–907 (2012).

    Google Scholar 

  75. Abd Radzak, S. M. et al. Insights regarding mitochondrial DNA copy number alterations in human cancer (review). Int. J. Mol. Med. 50, https://doi.org/10.3892/ijmm.2022.5160 (2022).

  76. Jornayvaz, F. R. & Shulman, G. I. Regulation of mitochondrial biogenesis. Essays Biochem. 47, 69–84 (2010).

    Google Scholar 

  77. Holzner, M. et al. The scramblases VMP1 and TMEM41B are required for primitive endoderm specification by targeting WNT signaling. Cell Death Differ https://doi.org/10.1038/s41418-024-01435-x (2024).

  78. Monfort, A., Di Minin, G. & Wutz, A. Screening for factors involved in X chromosome inactivation using haploid ESCs. Methods Mol. Biol. 1861, 1–18 (2018).

    Google Scholar 

  79. Aizawa, E. et al. Haploid mouse germ cell precursors from embryonic stem cells reveal Xist activation from a single X chromosome. Stem Cell Rep. 17, 43–52 (2022).

    Google Scholar 

  80. Fuhrer, T., Heer, D., Begemann, B. & Zamboni, N. High-throughput, accurate mass metabolome profiling of cellular extracts by flow injection-time-of-flight mass spectrometry. Anal. Chem. 83, 7074–7080 (2011).

    Google Scholar 

  81. Buescher, J. M., Moco, S., Sauer, U. & Zamboni, N. Ultrahigh performance liquid chromatography-tandem mass spectrometry method for fast and robust quantification of anionic and aromatic metabolites. Anal. Chem. 82, 4403–4412 (2010).

    Google Scholar 

  82. Pang, Z. et al. MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation. Nucleic Acids Res. 52, W398–W406 (2024).

    Google Scholar 

  83. Vandesompele, J. et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 3, RESEARCH0034 (2002).

    Google Scholar 

  84. Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120 (2014).

    Google Scholar 

  85. Kim, D., Paggi, J. M., Park, C., Bennett, C. & Salzberg, S. L. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat. Biotechnol. 37, 907–915 (2019).

    Google Scholar 

  86. Putri, G. H., Anders, S., Pyl, P. T., Pimanda, J. E. & Zanini, F. Analysing high-throughput sequencing data in Python with HTSeq 2.0. Bioinformatics 38, 2943–2945 (2022).

    Google Scholar 

  87. Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014).

    Google Scholar 

  88. Liu, T. et al. Multi-color live-cell STED nanoscopy of mitochondria with a gentle inner membrane stain. Proc. Natl. Acad. Sci. USA 119, e2215799119 (2022).

    Google Scholar 

  89. Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).

    Google Scholar 

  90. Schneider, C. A., Rasband, W. S. & Eliceiri, K. W. NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9, 671–675 (2012).

    Google Scholar 

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Acknowledgements

We acknowledge the Functional Genomics Center Zurich (FGCZ) and the Flow Cytometry Core Facility (FCCF) for technical support. We thank C. Ebner for the help with reagent preparations. We thank F. Mair, I. Vgenopoulou, A. Grison, and J. Corn for their helpful discussions. GDM was supported by the ETH Zurich Postdoctoral Fellowship Program as well as the Marie Curie Actions for People COFUND Program. This work was supported by grants from the Swiss National Science Foundation (SNF grants 31003A_152814/1 and 31003A_175643/1). T.K. was supported by the SNF grant 310030_215716.

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  1. These authors contributed equally: Giulio Di Minin, Anna B. Rüegg.

Authors and Affiliations

  1. Department of Biology, Institute of Molecular Health Sciences, ETH Zurich, Zurich, Switzerland

    Giulio Di Minin, Anna B. Rüegg, Kevin Halter & Anton Wutz

  2. Unit of Oncogenetics and Functional Oncogenomics, Centro di Riferimento Oncologico di Aviano (CRO Aviano) IRCCS, National Cancer Institute, Aviano, Italy

    Giulio Di Minin

  3. Center for Transgenic Models, University of Basel, Basel, Switzerland

    Anna B. Rüegg

  4. Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland

    Tobias Fuhrer & Nicola Zamboni

  5. Department of Biomedicine, University of Basel, Basel, Switzerland

    Tobias Fuhrer

  6. Department of Biology, Institute of Biochemistry, ETH Zurich, Zurich, Switzerland

    Tatjana Kleele

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Contributions

G.D.M., A.W. designed the research. G.D.M., A.R., K.H., T.F., T.K., and N.Z. collected the data. G.D.M., T.F., T.K., and N.Z. conducted software analysis. G.D.M., A.W. supervised the work. G.D.M., A.R., K.H., T.F., T.K., N.Z., and A.W. prepared and revised the manuscript.

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Di Minin, G., Rüegg, A.B., Halter, K. et al. Mitochondrial metabolic imbalance drives diploidization in mouse haploid embryonic stem cells via NADPH overload. Nat Commun (2026). https://doi.org/10.1038/s41467-026-70939-6

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  • Received: 01 August 2025

  • Accepted: 06 March 2026

  • Published: 24 March 2026

  • DOI: https://doi.org/10.1038/s41467-026-70939-6

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