journal article·2026-06Open access

Cell Cycle Control of Nuclear Metabolism Couples Phosphatidylinositol Signaling to Histone Methylation

Antoni Gañez‐Zapater, Savvas Kourtis, Camilla Reiter Elbæk, Lorena Espinar, Carolina Toro‐Márquez, Albert Coll‐Manzano, Alfredo Smiriglia, Laura García‐López, Laura Wiegand, Maria Guirola, Frédéric Fontaine, Andrea Morandi, André C. Müller, Sara Sdelci

Advanced Science· Volume 13· Issue 34

Abstract

ABSTRACT Progression through the cell cycle requires coordinated regulation of transcription, chromatin state, and cellular metabolism. While metabolic enzymes are known to localize the nucleus and influence chromatin states, how nuclear metabolism itself oscillates during the cell cycle remains unexplored. Here, we combine a customized FUCCI‐3 reporter with chromatome mass spectrometry and high‐throughput imaging to systematically resolve nuclear and chromatin‐associated metabolic changes across cell cycle phases. We identify phosphatidylinositol metabolism as a nuclear pathway that oscillates with the cell cycle, with PIP5K1A, PLCD3, and PLD2 showing phase‐specific nuclear and chromatin dynamics. Nuclear PIP2 levels redistribute within the nucleus depending on cell cycle stage. Downregulation of PIP5K1A reduces nuclear PIP2 levels, whereas nuclear enrichment of PIP5K1A increases PIP2 abundance in the nucleus and nucleolus, functionally linking PIP5K1A nuclear localization to nuclear PIP2 synthesis. Moreover, perturbation of nuclear PIP2 synthesis alters chromatin methylation, with a pronounced impact on H4K20 monomethylation. Together, our results reveal that nuclear phosphatidylinositol metabolism is cell cycle regulated and functionally linked to chromatin methylation, establishing nuclear lipid metabolism as a previously unrecognized layer of cell cycle control.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Nuclear Structure and Function · Genomics and Chromatin Dynamics · Virus-based gene therapy research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Centre For Genomic Regulation (CRG) The Barcelona Institute of Science and Technology Barcelona Spain

Department of Experimental and Clinical Biomedical Sciences University of Florence Florence Italy

(Now) Charité – Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin and Humboldt‐Universität zu Berlin, and Berlin Institute of Health Department of Hematology, Oncology, and Cancer Immunology Berlin Germany

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences Vienna Austria

Universitat Pompeu Fabra (UPF) Barcelona Spain

Funding

Ministerio de Ciencia e Innovación · Generalitat de Catalunya · European Research Council

References (100+)

Show source-provided references
1. 10.1038/s41586‐019‐1778‐y10.1038/s41586‐019‐1778‐y ↗
2. 10.1016/j.tibs.2022.06.00710.1016/j.tibs.2022.06.007 ↗
3. 10.1016/j.molcel.2016.11.01610.1016/j.molcel.2016.11.016 ↗
4. 10.1038/s41467‐018‐06066‐810.1038/s41467‐018‐06066‐8 ↗
5. 10.1021/acsphotonics.1c0177910.1021/acsphotonics.1c01779 ↗
6. 10.1016/j.cell.2024.02.01410.1016/j.cell.2024.02.014 ↗
7. 10.3390/cancers1209265510.3390/cancers12092655 ↗
8. 10.1016/j.cell.2007.12.03310.1016/j.cell.2007.12.033 ↗
9. 10.1007/978-1-0716-3052-5_2410.1007/978-1-0716-3052-5_24 ↗
10. 10.1038/nmeth.404510.1038/nmeth.4045 ↗
11. 10.1016/j.ceb.2013.07.00210.1016/j.ceb.2013.07.002 ↗
12. 10.1016/j.tcb.2016.08.00910.1016/j.tcb.2016.08.009 ↗
13. 10.1016/j.tcb.2023.05.01210.1016/j.tcb.2023.05.012 ↗
14. 10.1016/j.molcel.2017.10.00110.1016/j.molcel.2017.10.001 ↗
15. 10.1073/pnas.060336310310.1073/pnas.0603363103 ↗
16. 10.1038/nature1326710.1038/nature13267 ↗
17. 10.1128/MCB.02074‐0510.1128/MCB.02074‐05 ↗
18. 10.1016/j.cellsig.2014.04.01510.1016/j.cellsig.2014.04.015 ↗
19. 10.1073/pnas.101236210710.1073/pnas.1012362107 ↗
20. 10.1038/s41556‐022‐00965‐110.1038/s41556‐022‐00965‐1 ↗
21. 10.1016/0143-4160(94)90093-010.1016/0143-4160(94)90093-0 ↗
22. 10.1038/s41467‐020‐20711‐110.1038/s41467‐020‐20711‐1 ↗
23. 10.1016/j.molcel.2015.09.02410.1016/j.molcel.2015.09.024 ↗
24. 10.1016/j.molcel.2017.06.00810.1016/j.molcel.2017.06.008 ↗
25. 10.1016/j.molcel.2017.04.02610.1016/j.molcel.2017.04.026 ↗
26. 10.15252/msb.20221126710.15252/msb.202211267 ↗
27. 10.1038/s41467‐024‐53877‐z10.1038/s41467‐024‐53877‐z ↗
28. 10.1126/science.aad933510.1126/science.aad9335 ↗
29. 10.1038/s41588‐019‐0413‐z10.1038/s41588‐019‐0413‐z ↗
30. 10.15252/emmm.20231845910.15252/emmm.202318459 ↗
31. 10.1038/s41467‐024‐51847‐z10.1038/s41467‐024‐51847‐z ↗
32. 10.1016/j.celrep.2018.06.11010.1016/j.celrep.2018.06.110 ↗
33. 10.1038/s41418‐022‐00988‐z10.1038/s41418‐022‐00988‐z ↗
34. 10.1091/mbc.e11‐10‐088410.1091/mbc.e11‐10‐0884 ↗
35. 10.1016/S0092‐8674(00)81902‐910.1016/S0092‐8674(00)81902‐9 ↗
36. 10.1073/pnas.060044710310.1073/pnas.0600447103 ↗
37. 10.1016/S1054-3589(08)60021-610.1016/S1054-3589(08)60021-6 ↗
38. 10.1126/scisignal.aaz148210.1126/scisignal.aaz1482 ↗
39. 10.1016/j.cell.2015.07.01610.1016/j.cell.2015.07.016 ↗
40. 10.1016/j.biocel.2005.02.02110.1016/j.biocel.2005.02.021 ↗
41. 10.1038/nrm124510.1038/nrm1245 ↗
42. 10.1038/s41420-023-01501-210.1038/s41420-023-01501-2 ↗
43. 10.1016/j.jbc.2022.10256110.1016/j.jbc.2022.102561 ↗
44. 10.1016/j.molcel.2017.02.02610.1016/j.molcel.2017.02.026 ↗
45. 10.3389/fgene.2019.0076410.3389/fgene.2019.00764 ↗
46. 10.1038/nrm233010.1038/nrm2330 ↗
47. 10.1083/jcb.20190613010.1083/jcb.201906130 ↗
48. 10.1038/sj.emboj.760072210.1038/sj.emboj.7600722 ↗
49. 10.3389/fcell.2022.90399410.3389/fcell.2022.903994 ↗
50. 10.1042/bj357090510.1042/bj3570905 ↗
51. 10.1074/jbc.M41381320010.1074/jbc.M413813200 ↗
52. 10.1126/science.abi698310.1126/science.abi6983 ↗
53. 10.1074/jbc.271.39.2361110.1074/jbc.271.39.23611 ↗
54. 10.1074/jbc.273.15.874110.1074/jbc.273.15.8741 ↗
55. 10.1146/annurev.biochem.70.1.28110.1146/annurev.biochem.70.1.281 ↗
56. 10.1016/S0014‐5793(99)00745‐010.1016/S0014‐5793(99)00745‐0 ↗
57. 10.4161/nucl.2715410.4161/nucl.27154 ↗
58. 10.1007/s00418‐016‐1467‐y10.1007/s00418‐016‐1467‐y ↗
59. 10.1038/nature0666610.1038/nature06666 ↗
60. 10.1073/pnas.080253310510.1073/pnas.0802533105 ↗
61. 10.1016/j.bbalip.2021.15889010.1016/j.bbalip.2021.158890 ↗
62. 10.1016/j.bbagrm.2020.19466610.1016/j.bbagrm.2020.194666 ↗
63. 10.1038/s41467‐023‐36021‐110.1038/s41467‐023‐36021‐1 ↗
64. 10.1016/S1097‐2765(02)00548‐810.1016/S1097‐2765(02)00548‐8 ↗
65. 10.4161/cc.10.1.1436310.4161/cc.10.1.14363 ↗
66. 10.1128/MCB.01768‐0810.1128/MCB.01768‐08 ↗
67. 10.1101/gad.177444.11110.1101/gad.177444.111 ↗
68. 10.15252/msb.2020994610.15252/msb.20209946 ↗
69. 10.1038/s41467‐022‐30545‐810.1038/s41467‐022‐30545‐8 ↗
70. 10.1016/j.jmb.2017.10.01110.1016/j.jmb.2017.10.011 ↗
71. 10.15698/mic2015.04.19810.15698/mic2015.04.198 ↗
72. 10.1080/15384101.2019.159872510.1080/15384101.2019.1598725 ↗
73. 10.1038/s42255-022-00645-210.1038/s42255-022-00645-2 ↗
74. 10.1038/s42255‐021‐00412‐910.1038/s42255‐021‐00412‐9 ↗
75. 10.1038/s41467-018-06007-510.1038/s41467-018-06007-5 ↗
76. 10.1371/journal.pone.005845610.1371/journal.pone.0058456 ↗
77. 10.1101/sqb.2010.75.02210.1101/sqb.2010.75.022 ↗
78. 10.7554/eLife.0163010.7554/eLife.01630 ↗
79. 10.1016/j.molcel.2011.05.03110.1016/j.molcel.2011.05.031 ↗
80. 10.7554/eLife.0453410.7554/eLife.04534 ↗
81. Involvement of Phosphatidylinositol 4,5‐bisphosphate in RNA Polymerase I Transcription
82. 10.1021/acsmedchemlett.7b0001410.1021/acsmedchemlett.7b00014 ↗
83. 10.1007/978-1-4939-9145-7_710.1007/978-1-4939-9145-7_7 ↗
84. Wickham H. · 2016
85. T. L.Pedersen ggforce: Accelerating “ggplot2”(2024).
86. Classes and Methods for Spatial Data in R
87. 10.1007/978-1-4614-7618-410.1007/978-1-4614-7618-4 ↗
88. H.Wickham R.François L.Henry K.Müller andD.Vaughan dplyr: a Grammar of Data Manipulation (2023).
89. 10.1038/nprot.2015.01610.1038/nprot.2015.016 ↗
90. 10.1371/journal.pone.013430610.1371/journal.pone.0134306 ↗
91. Kassambara A. · 2023
92. R Core Team · 2024
93. 10.15252/msb.2014562510.15252/msb.20145625 ↗
94. 10.1074/mcp.T500030‐MCP20010.1074/mcp.T500030‐MCP200 ↗
95. 10.1093/nar/gkae101110.1093/nar/gkae1011 ↗
96. 10.1038/s41592‐019‐0638‐x10.1038/s41592‐019‐0638‐x ↗
97. 10.1038/nprot.2017.14710.1038/nprot.2017.147 ↗
98. 10.18129/B9.bioc.proDA10.18129/B9.bioc.proDA ↗
99. Q. G.Gianetto (2021) https://cran.r‐project.org/package=imp4p.
100. 10.1038/nprot.2017.02610.1038/nprot.2017.026 ↗