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Bertucci F, Guille A, Lerebours F, Ceccarelli M, Syed N, Adélaïde J, Finetti P, Ueno NT, Van Laere S, Viens P, De Nonneville A, Goncalves A, Birnbaum D, Callens C, Bedognetti D, Mamessier E. Whole-exome profiles of inflammatory breast cancer and pathological response to neoadjuvant chemotherapy. J Transl Med 2024; 22:969. [PMID: 39465437 PMCID: PMC11514970 DOI: 10.1186/s12967-024-05790-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Accepted: 10/19/2024] [Indexed: 10/29/2024] Open
Abstract
BACKGROUND Neoadjuvant chemotherapy (NACT) became a standard treatment strategy for patients with inflammatory breast cancer (IBC) because of high disease aggressiveness. However, given the heterogeneity of IBC, no molecular feature reliably predicts the response to chemotherapy. Whole-exome sequencing (WES) of clinical tumor samples provides an opportunity to identify genomic alterations associated with chemosensitivity. METHODS We retrospectively applied WES to 44 untreated IBC primary tumor samples and matched normal DNA. The pathological response to NACT, assessed on operative specimen, distinguished the patients with versus without pathological complete response (pCR versus no-pCR respectively). We compared the mutational profiles, spectra and signatures, pathway mutations, copy number alterations (CNAs), HRD, and heterogeneity scores between pCR versus no-pCR patients. RESULTS The TMB, HRD, and mutational spectra were not different between the complete (N = 13) versus non-complete (N = 31) responders. The two most frequently mutated genes were TP53 and PIK3CA. They were more frequently mutated in the complete responders, but the difference was not significant. Only two genes, NLRP3 and SLC9B1, were significantly more frequently mutated in the complete responders (23% vs. 0%). By contrast, several biological pathways involved in protein translation, PI3K pathway, and signal transduction showed significantly higher mutation frequency in the patients with pCR. We observed a higher abundance of COSMIC signature 7 (due to ultraviolet light exposure) in tumors from complete responders. The comparison of CNAs of the 3808 genes included in the GISTIC regions between both patients' groups identified 234 genes as differentially altered. The CIN signatures were not differentially represented between the complete versus non-complete responders. Based on the H-index, the patients with heterogeneous tumors displayed a lower pCR rate (11%) than those with less heterogeneous tumors (35%). CONCLUSIONS This is the first study aiming at identifying correlations between the WES data of IBC samples and the achievement of pCR to NACT. Our results, obtained in this 44-sample series, suggest a few subtle genomic alterations associated with pathological response. Additional investigations are required in larger series.
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Affiliation(s)
- François Bertucci
- Predictive Oncology Laboratory, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, 232, Boulevard de Sainte-Marguerite, 13009, Marseille, France.
- Department of Medical Oncology, Institut Paoli-Calmettes, Aix-Marseille Université, Marseille, France.
| | - Arnaud Guille
- Predictive Oncology Laboratory, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, 232, Boulevard de Sainte-Marguerite, 13009, Marseille, France
| | - Florence Lerebours
- Department of Medical Oncology, Institut Curie Saint-Cloud, Paris, France
| | - Michele Ceccarelli
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, USA
- Department of Public Health Sciences, University of Miami, Miami, USA
| | - Najeeb Syed
- University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - José Adélaïde
- Predictive Oncology Laboratory, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, 232, Boulevard de Sainte-Marguerite, 13009, Marseille, France
| | - Pascal Finetti
- Predictive Oncology Laboratory, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, 232, Boulevard de Sainte-Marguerite, 13009, Marseille, France
| | - Naoto T Ueno
- University of Hawai'i Cancer Center, Honolulu, HI, USA
| | - Steven Van Laere
- Center for Oncological Research (CORE), Integrated Personalized and Precision Oncology Network (IPPON), University of Antwerp, Universiteitsplein 1, Wilrijk, Belgium
| | - Patrice Viens
- Department of Medical Oncology, Institut Paoli-Calmettes, Aix-Marseille Université, Marseille, France
| | - Alexandre De Nonneville
- Department of Medical Oncology, Institut Paoli-Calmettes, Aix-Marseille Université, Marseille, France
| | - Anthony Goncalves
- Department of Medical Oncology, Institut Paoli-Calmettes, Aix-Marseille Université, Marseille, France
| | - Daniel Birnbaum
- Predictive Oncology Laboratory, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, 232, Boulevard de Sainte-Marguerite, 13009, Marseille, France
| | - Céline Callens
- Department of Medical Oncology, Institut Curie Saint-Cloud, Paris, France
| | - Davide Bedognetti
- Tumor Biology and Immunology Laboratory, Research Branch, Sidra Medicine, Doha, Qatar
| | - Emilie Mamessier
- Predictive Oncology Laboratory, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille Université, 232, Boulevard de Sainte-Marguerite, 13009, Marseille, France
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2
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Li C, Qiao Y, Jiang X, Liu L, Zheng Y, Qiu Y, Cheng C, Zhou F, Zhou Y, Huang W, Ren X, Wang Y, Wang Z, Chinnaiyan AM, Ding K. Discovery of a First-in-Class Degrader for the Lipid Kinase PIKfyve. J Med Chem 2023; 66:12432-12445. [PMID: 37605297 PMCID: PMC10510382 DOI: 10.1021/acs.jmedchem.3c00912] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Indexed: 08/23/2023]
Abstract
The phosphoinositide kinase PIKfyve has emerged as a new potential therapeutic target in various cancers. However, limited clinical progress has been achieved with PIKfyve inhibitors. Here, we report the discovery of a first-in-class PIKfyve degrader 12d (PIK5-12d) by employing the proteolysis-targeting chimera approach. PIK5-12d potently degraded PIKfyve protein with a DC50 value of 1.48 nM and a Dmax value of 97.7% in prostate cancer VCaP cells. Mechanistic studies revealed that it selectively induced PIKfyve degradation in a VHL- and proteasome-dependent manner. PIKfyve degradation by PIK5-12d caused massive cytoplasmic vacuolization and blocked autophagic flux in multiple prostate cancer cell lines. Importantly, PIK5-12d was more effective in suppressing the growth of prostate cancer cells than the parent inhibitor and exerted prolonged inhibition of downstream signaling. Further, intraperitoneal administration of PIK5-12d exhibited potent PIKfyve degradation and suppressed tumor proliferation in vivo. Overall, PIK5-12d is a valuable chemical tool for exploring PIKfyve-based targeted therapy.
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Affiliation(s)
- Chungen Li
- State
Key Laboratory of Chemical Biology, Shanghai Institute of Organic
Chemistry, Chinese Academy of Sciences, #345 Lingling Roadd, Shanghai 200032, People’s Republic of China
| | - Yuanyuan Qiao
- Michigan
Center for Translational Pathology, University
of Michigan, Ann Arbor, Michigan 48109, United States
- Department
of Pathology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Xia Jiang
- Michigan
Center for Translational Pathology, University
of Michigan, Ann Arbor, Michigan 48109, United States
| | - Lianchao Liu
- State
Key Laboratory of Chemical Biology, Shanghai Institute of Organic
Chemistry, Chinese Academy of Sciences, #345 Lingling Roadd, Shanghai 200032, People’s Republic of China
| | - Yang Zheng
- Michigan
Center for Translational Pathology, University
of Michigan, Ann Arbor, Michigan 48109, United States
| | - Yudi Qiu
- State
Key Laboratory of Chemical Biology, Shanghai Institute of Organic
Chemistry, Chinese Academy of Sciences, #345 Lingling Roadd, Shanghai 200032, People’s Republic of China
| | - Caleb Cheng
- Michigan
Center for Translational Pathology, University
of Michigan, Ann Arbor, Michigan 48109, United States
| | - Fengtao Zhou
- International
Cooperative Laboratory of Traditional Chinese Medicine Modernization
and Innovative Drug Discovery of Chinese Ministry of Education (MOE),
Guangzhou City Key Laboratory of Precision Chemical Drug Development,
College of Pharmacy, Jinan University, 855 Xingye Avenue East, Guangzhou 511400, People’s Republic of China
| | - Yang Zhou
- International
Cooperative Laboratory of Traditional Chinese Medicine Modernization
and Innovative Drug Discovery of Chinese Ministry of Education (MOE),
Guangzhou City Key Laboratory of Precision Chemical Drug Development,
College of Pharmacy, Jinan University, 855 Xingye Avenue East, Guangzhou 511400, People’s Republic of China
| | - Weixue Huang
- State
Key Laboratory of Chemical Biology, Shanghai Institute of Organic
Chemistry, Chinese Academy of Sciences, #345 Lingling Roadd, Shanghai 200032, People’s Republic of China
| | - Xiaomei Ren
- State
Key Laboratory of Chemical Biology, Shanghai Institute of Organic
Chemistry, Chinese Academy of Sciences, #345 Lingling Roadd, Shanghai 200032, People’s Republic of China
| | - Yuzhuo Wang
- The
Vancouver Prostate Centre, Vancouver General Hospital and Department
of Urologic Sciences, The University of
British Columbia, Vancouver, British Columbia V6H 3Z6, Canada
| | - Zhen Wang
- State
Key Laboratory of Chemical Biology, Shanghai Institute of Organic
Chemistry, Chinese Academy of Sciences, #345 Lingling Roadd, Shanghai 200032, People’s Republic of China
| | - Arul M. Chinnaiyan
- Michigan
Center for Translational Pathology, University
of Michigan, Ann Arbor, Michigan 48109, United States
- Department
of Pathology, University of Michigan, Ann Arbor, Michigan 48109, United States
- Howard
Hughes Medical Institute, University of
Michigan, Ann Arbor, Michigan 48109, United States
- Department
of Urology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Ke Ding
- State
Key Laboratory of Chemical Biology, Shanghai Institute of Organic
Chemistry, Chinese Academy of Sciences, #345 Lingling Roadd, Shanghai 200032, People’s Republic of China
- Institute
of Basic Medicine and Cancer (IBMC), Chinese
Academy of Sciences, Hangzhou, Zhejiang 310022, People’s Republic of China
- International
Cooperative Laboratory of Traditional Chinese Medicine Modernization
and Innovative Drug Discovery of Chinese Ministry of Education (MOE),
Guangzhou City Key Laboratory of Precision Chemical Drug Development,
College of Pharmacy, Jinan University, 855 Xingye Avenue East, Guangzhou 511400, People’s Republic of China
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3
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Huda M, Bektas SN, Bekdas B, Caydasi AK. The signalling lipid PI3,5P 2 is essential for timely mitotic exit. Open Biol 2023; 13:230125. [PMID: 37751887 PMCID: PMC10522413 DOI: 10.1098/rsob.230125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 08/15/2023] [Indexed: 09/28/2023] Open
Abstract
Coordination of mitotic exit with chromosome segregation is key for successful mitosis. Mitotic exit in budding yeast is executed by the mitotic exit network (MEN), which is negatively regulated by the spindle position checkpoint (SPOC). SPOC kinase Kin4 is crucial for SPOC activation in response to spindle positioning defects. Here, we report that the lysosomal signalling lipid phosphatidylinositol-3,5-bisphosphate (PI3,5P2) has an unanticipated role in the timely execution of mitotic exit. We show that the lack of PI3,5P2 causes a delay in mitotic exit, whereas elevated levels of PI3,5P2 accelerates mitotic exit in mitotic exit defective cells. Our data indicate that PI3,5P2 promotes mitotic exit in part through impairment of Kin4. This process is largely dependent on the known PI3,5P2 effector protein Atg18. Our work thus uncovers a novel link between PI3,5P2 and mitotic exit.
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Affiliation(s)
- Mariam Huda
- Department of Molecular Biology and Genetics, Koç University, Istanbul, Turkey
| | - Seyma Nur Bektas
- Department of Molecular Biology and Genetics, Koç University, Istanbul, Turkey
| | - Baris Bekdas
- Department of Molecular Biology and Genetics, Koç University, Istanbul, Turkey
| | - Ayse Koca Caydasi
- Department of Molecular Biology and Genetics, Koç University, Istanbul, Turkey
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4
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He Z, Zhang J, Yuan X, Zhang Y. Integrating Somatic Mutations for Breast Cancer Survival Prediction Using Machine Learning Methods. Front Genet 2021; 11:632901. [PMID: 33537063 PMCID: PMC7848170 DOI: 10.3389/fgene.2020.632901] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 12/30/2020] [Indexed: 12/13/2022] Open
Abstract
Breast cancer is the most common malignancy in women, and because it has a high mortality rate, it is urgent to develop computational methods to increase the accuracy of breast cancer survival predictive models. Although multi-omics data such as gene expression have been extensively used in recent studies, the accurate prognosis of breast cancer remains a challenge. Somatic mutations are another important and promising data source for studying cancer development, and its effect on the prognosis of breast cancer remains to be further explored. Meanwhile, these omics datasets are high-dimensional and redundant. Therefore, we adopted multiple kernel learning (MKL) to efficiently integrate somatic mutation to currently molecular data including gene expression, copy number variation (CNV), methylation, and protein expression data for the prediction of breast cancer survival. Before integration, the maximum relevance minimum redundancy (mRMR) feature selection method was utilized to select features that present high relevance to survival and low redundancy among themselves for each type of data. The experimental results demonstrated that the proposed method achieved the most optimal performance and there was a remarkable improvement in the prediction performance when somatic mutations were included, indicating that somatic mutations are critical for improving breast cancer survival predictions. Moreover, mRMR was superior to other feature selection methods used in previous studies. Furthermore, MKL outperformed the other traditional classifiers in multi-omics data integration. Our analysis indicated that through employing promising omics data such as somatic mutations and harnessing the power of proper feature selection methods and effective integration frameworks, the breast cancer survival predictive accuracy can be further increased, thereby providing a more optimal clinical diagnosis and more effective treatment for breast cancer patients.
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Affiliation(s)
- Zongzhen He
- School of Computer Science and Technology, Xidian University, Xi'an, China
| | - Junying Zhang
- School of Computer Science and Technology, Xidian University, Xi'an, China
| | - Xiguo Yuan
- School of Computer Science and Technology, Xidian University, Xi'an, China
| | - Yuanyuan Zhang
- School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China
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5
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Using Phosphatidylinositol Phosphorylation as Markers for Hyperglycemic Related Breast Cancer. Int J Mol Sci 2020; 21:ijms21072320. [PMID: 32230859 PMCID: PMC7177416 DOI: 10.3390/ijms21072320] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 03/23/2020] [Accepted: 03/25/2020] [Indexed: 02/06/2023] Open
Abstract
Studies have suggested that type 2 diabetes (T2D) is associated with a higher incidence of breast cancer and related mortality rates. T2D postmenopausal women have an ~20% increased chance of developing breast cancer, and women with T2D and breast cancer have a 50% increase in mortality compared to breast cancer patients without diabetes. This correlation has been attributed to the general activation of insulin receptor signaling, glucose metabolism, phosphatidylinositol (PI) kinases, and growth pathways. Furthermore, the presence of breast cancer specific PI kinase and/or phosphatase mutations enhance metastatic breast cancer phenotypes. We hypothesized that each of the breast cancer subtypes may have characteristic PI phosphorylation profiles that are changed in T2D conditions. Therefore, we sought to characterize the PI phosphorylation when equilibrated in normal glycemic versus hyperglycemic serum conditions. Our results suggest that hyperglycemia leads to: 1) A reduction in PI3P and PIP3, with increased PI4P that is later converted to PI(3,4)P2 at the cell surface in hormone receptor positive breast cancer; 2) a reduction in PI3P and PI4P with increased PIP3 surface expression in human epidermal growth factor receptor 2-positive (HER2+) breast cancer; and 3) an increase in di- and tri-phosphorylated PIs due to turnover of PI3P in triple negative breast cancer. This study begins to describe some of the crucial changes in PIs that play a role in T2D related breast cancer incidence and metastasis.
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6
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Hirano T, Sato MH. Diverse Physiological Functions of FAB1 and Phosphatidylinositol 3,5-Bisphosphate in Plants. FRONTIERS IN PLANT SCIENCE 2019; 10:274. [PMID: 30967882 PMCID: PMC6439278 DOI: 10.3389/fpls.2019.00274] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 02/19/2019] [Indexed: 06/09/2023]
Abstract
Biological membranes are predominantly composed of structural glycerophospholipids such as phosphatidylcholine, phosphatidylethanolamine, and phosphatidylinositol. Of the membrane glycerophospholipids, phosphatidylinositol (PtdIns) and its phosphorylated derivatives (phosphoinositides) constitute a minor fraction yet exert a wide variety of regulatory functions in eukaryotic cells. Phosphoinositides include PtdIns, three PtdIns monophosphates, three PtdIns bisphosphates, and one PtdIns triphosphate, in which the hydroxy groups of the inositol head group of PtdIns are phosphorylated by specific lipid kinases. Of all the phosphoinositides in eukaryotic cells, phosphatidylinositol 3,5-bisphosphate [PtdIns(3,5)P2] constitutes the smallest fraction, yet it is a crucial lipid in animal and yeast membrane trafficking systems. Here, we review the recent findings on the physiological functions of PtdIns(3,5)P2 and its enzyme-formation of aploid and binucleate cells (FAB1)-along with the regulatory proteins of FAB1 and the downstream effector proteins of PtdIns(3,5)P2 in Arabidopsis.
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7
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Morioka S, Nigorikawa K, Hazeki K, Ohmura M, Sakamoto H, Matsumura T, Takasuga S, Hazeki O. Phosphoinositide phosphatase Sac3 regulates the cell surface expression of scavenger receptor A and formation of lipid droplets in macrophages. Exp Cell Res 2017; 357:252-259. [DOI: 10.1016/j.yexcr.2017.05.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 05/12/2017] [Accepted: 05/23/2017] [Indexed: 11/25/2022]
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8
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Ikonomov OC, Sbrissa D, Compton LM, Kumar R, Tisdale EJ, Chen X, Shisheva A. The Protein Complex of Neurodegeneration-related Phosphoinositide Phosphatase Sac3 and ArPIKfyve Binds the Lewy Body-associated Synphilin-1, Preventing Its Aggregation. J Biol Chem 2015; 290:28515-28529. [PMID: 26405034 DOI: 10.1074/jbc.m115.669929] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Indexed: 12/14/2022] Open
Abstract
The 5-phosphoinositide phosphatase Sac3, in which loss-of-function mutations are linked to neurodegenerative disorders, forms a stable cytosolic complex with the scaffolding protein ArPIKfyve. The ArPIKfyve-Sac3 heterodimer interacts with the phosphoinositide 5-kinase PIKfyve in a ubiquitous ternary complex that couples PtdIns(3,5)P2 synthesis with turnover at endosomal membranes, thereby regulating the housekeeping endocytic transport in eukaryotes. Neuron-specific associations of the ArPIKfyve-Sac3 heterodimer, which may shed light on the neuropathological mechanisms triggered by Sac3 dysfunction, are unknown. Here we conducted mass spectrometry analysis for brain-derived interactors of ArPIKfyve-Sac3 and unraveled the α-synuclein-interacting protein Synphilin-1 (Sph1) as a new component of the ArPIKfyve-Sac3 complex. Sph1, a predominantly neuronal protein that facilitates aggregation of α-synuclein, is a major component of Lewy body inclusions in neurodegenerative α-synucleinopathies. Modulations in ArPIKfyve/Sac3 protein levels by RNA silencing or overexpression in several mammalian cell lines, including human neuronal SH-SY5Y or primary mouse cortical neurons, revealed that the ArPIKfyve-Sac3 complex specifically altered the aggregation properties of Sph1-GFP. This effect required an active Sac3 phosphatase and proceeded through mechanisms that involved increased Sph1-GFP partitioning into the cytosol and removal of Sph1-GFP aggregates by basal autophagy but not by the proteasomal system. If uncoupled from ArPIKfyve elevation, overexpressed Sac3 readily aggregated, markedly enhancing the aggregation potential of Sph1-GFP. These data identify a novel role of the ArPIKfyve-Sac3 complex in the mechanisms controlling aggregate formation of Sph1 and suggest that Sac3 protein deficiency or overproduction may facilitate aggregation of aggregation-prone proteins, thereby precipitating the onset of multiple neuronal disorders.
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Affiliation(s)
- Ognian C Ikonomov
- Departments of Physiology, Wayne State School of Medicine, Detroit, Michigan 48201
| | - Diego Sbrissa
- Departments of Physiology, Wayne State School of Medicine, Detroit, Michigan 48201
| | - Lauren M Compton
- Departments of Physiology, Wayne State School of Medicine, Detroit, Michigan 48201
| | - Rita Kumar
- Departments of Physiology, Wayne State School of Medicine, Detroit, Michigan 48201; Departments of Emergency Medicine, Wayne State School of Medicine, Detroit, Michigan 48201
| | - Ellen J Tisdale
- Departments of Pharmacology, Wayne State School of Medicine, Detroit, Michigan 48201
| | - Xuequn Chen
- Departments of Physiology, Wayne State School of Medicine, Detroit, Michigan 48201
| | - Assia Shisheva
- Departments of Physiology, Wayne State School of Medicine, Detroit, Michigan 48201.
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9
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Ikonomov OC, Sbrissa D, Venkatareddy M, Tisdale E, Garg P, Shisheva A. Class III PI 3-kinase is the main source of PtdIns3P substrate and membrane recruitment signal for PIKfyve constitutive function in podocyte endomembrane homeostasis. BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR CELL RESEARCH 2015; 1853:1240-50. [PMID: 25619930 DOI: 10.1016/j.bbamcr.2015.01.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2014] [Revised: 12/22/2014] [Accepted: 01/16/2015] [Indexed: 11/19/2022]
Abstract
The evolutionarily conserved PIKfyve, which synthesizes PtdIns5P from PtdIns, and PtdIns(3,5)P2 from PtdIns3P, requires PtdIns3P as both an enzyme substrate and a membrane recruitment signal. Whereas the PtdIns3P source is undetermined, class III PI3K (Vps34), the only evolutionarily conserved of the eight mammalian PI3Ks, is presumed as a main candidate. A hallmark of PIKfyve deficiency is formation of multiple translucent cytoplasmic vacuoles seen by light microscopy in cells cultured in complete media. Such an aberrant phenotype is often observed in cells from conditional Vps34 knockout (KO) mice. To clarify the mechanism of Vps34 KO-triggered vacuolation and the PtdIns3P source for PIKfyve functionality, here we have characterized a podocyte cell type derived from Vps34fl/fl mice, which, upon Cre-mediated gene KO, robustly formed cytoplasmic vacuoles resembling those in PikfyveKO MEFs. Vps34wt, expressed in Vps34KO podocytes restored the normal morphology, but only if the endogenous PIKfyve activity was intact. Conversely, expressed PIKfyvewt rescued completely the vacuolation only in PikfyveKO MEFs but not in Vps34KO podocytes. Analyses of phosphoinositide profiles by HPLC and localization patterns by a PtdIns3P biosensor revealed that Vps34 is the main supplier of localized PtdIns3P not only for PIKfyve activity but also for membrane recruitment. Concordantly, Vps34KO podocytes had severely reduced steady-state levels of both PtdIns(3,5)P2 and PtdIns5P, along with PtdIns3P. We further revealed a plausible physiologically-relevant Vps34-independent PtdIns3P supply for PIKfyve, operating through activated class I PI3Ks. Our data provide the first evidence that the vacuolation phenotype in Vps34KO podocytes is due to PIKfyve dysfunction and that Vps34 is a main PtdIns3P source for constitutive PIKfyve functionality.
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Affiliation(s)
- Ognian C Ikonomov
- Department of Physiology, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | - Diego Sbrissa
- Department of Physiology, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | | | - Ellen Tisdale
- Department of Pharmacology, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | - Puneet Garg
- Division of Nephrology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Assia Shisheva
- Department of Physiology, Wayne State University School of Medicine, Detroit, MI 48201, USA.
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10
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Shisheva A, Sbrissa D, Ikonomov O. Plentiful PtdIns5P from scanty PtdIns(3,5)P2 or from ample PtdIns? PIKfyve-dependent models: Evidence and speculation (response to: DOI 10.1002/bies.201300012). Bioessays 2014; 37:267-77. [PMID: 25404370 DOI: 10.1002/bies.201400129] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Recently, we have presented data supporting the notion that PIKfyve not only produces the majority of constitutive phosphatidylinositol 5-phosphate (PtdIns5P) in mammalian cells but that it does so through direct synthesis from PtdIns. Another group, albeit obtaining similar data, suggests an alternative pathway whereby the low-abundance PtdIns(3,5)P2 undergoes hydrolysis by unidentified 3-phosphatases, thereby serving as a precursor for most of PtdIns5P. Here, we review the experimental evidence supporting constitutive synthesis of PtdIns5P from PtdIns by PIKfyve. We further emphasize that the experiments presented in support of the alternative pathway are also compatible with a direct mechanism for PIKfyve-catalyzed synthesis of PtdIns5P. While agreeing with the authors that constitutive PtdIns5P could theoretically be produced from PtdIns(3,5)P2 by 3-dephosphorylation, we argue that until direct evidence for such an alternative pathway is obtained, we should adhere to the existing experimental evidence and quantitative considerations, which favor direct PIKfyve-catalyzed synthesis for most constitutive PtdIns5P.
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Affiliation(s)
- Assia Shisheva
- Department of Physiology, Wayne State University School of Medicine, Detroit, MI, USA
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