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Kreis NN, Moon HH, Wordeman L, Louwen F, Solbach C, Yuan J, Ritter A. KIF2C/MCAK a prognostic biomarker and its oncogenic potential in malignant progression, and prognosis of cancer patients: a systematic review and meta-analysis as biomarker. Crit Rev Clin Lab Sci 2024; 61:404-434. [PMID: 38344808 PMCID: PMC11815995 DOI: 10.1080/10408363.2024.2309933] [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: 10/31/2023] [Revised: 12/05/2023] [Accepted: 01/22/2024] [Indexed: 03/24/2024]
Abstract
KIF2C/MCAK (KIF2C) is the most well-characterized member of the kinesin-13 family, which is critical in the regulation of microtubule (MT) dynamics during mitosis, as well as interphase. This systematic review briefly describes the important structural elements of KIF2C, its regulation by multiple molecular mechanisms, and its broad cellular functions. Furthermore, it systematically summarizes its oncogenic potential in malignant progression and performs a meta-analysis of its prognostic value in cancer patients. KIF2C was shown to be involved in multiple crucial cellular processes including cell migration and invasion, DNA repair, senescence induction and immune modulation, which are all known to be critical during the development of malignant tumors. Indeed, an increasing number of publications indicate that KIF2C is aberrantly expressed in multiple cancer entities. Consequently, we have highlighted its involvement in at least five hallmarks of cancer, namely: genome instability, resisting cell death, activating invasion and metastasis, avoiding immune destruction and cellular senescence. This was followed by a systematic search of KIF2C/MCAK's expression in various malignant tumor entities and its correlation with clinicopathologic features. Available data were pooled into multiple weighted meta-analyses for the correlation between KIF2Chigh protein or gene expression and the overall survival in breast cancer, non-small cell lung cancer and hepatocellular carcinoma patients. Furthermore, high expression of KIF2C was correlated to disease-free survival of hepatocellular carcinoma. All meta-analyses showed poor prognosis for cancer patients with KIF2Chigh expression, associated with a decreased overall survival and reduced disease-free survival, indicating KIF2C's oncogenic potential in malignant progression and as a prognostic marker. This work delineated the promising research perspective of KIF2C with modern in vivo and in vitro technologies to further decipher the function of KIF2C in malignant tumor development and progression. This might help to establish KIF2C as a biomarker for the diagnosis or evaluation of at least three cancer entities.
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Affiliation(s)
- Nina-Naomi Kreis
- Obstetrics and Prenatal Medicine, Gynaecology and Obstetrics, University Hospital Frankfurt, J. W. Goethe-University, Frankfurt, Germany
| | - Ha Hyung Moon
- Obstetrics and Prenatal Medicine, Gynaecology and Obstetrics, University Hospital Frankfurt, J. W. Goethe-University, Frankfurt, Germany
| | - Linda Wordeman
- Department of Physiology and Biophysics, University of Washington School of Medicine, Seattle, WA, USA
| | - Frank Louwen
- Obstetrics and Prenatal Medicine, Gynaecology and Obstetrics, University Hospital Frankfurt, J. W. Goethe-University, Frankfurt, Germany
| | - Christine Solbach
- Obstetrics and Prenatal Medicine, Gynaecology and Obstetrics, University Hospital Frankfurt, J. W. Goethe-University, Frankfurt, Germany
| | - Juping Yuan
- Obstetrics and Prenatal Medicine, Gynaecology and Obstetrics, University Hospital Frankfurt, J. W. Goethe-University, Frankfurt, Germany
| | - Andreas Ritter
- Obstetrics and Prenatal Medicine, Gynaecology and Obstetrics, University Hospital Frankfurt, J. W. Goethe-University, Frankfurt, Germany
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2
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Lenárt S, Lenárt P, Knopfová L, Kotasová H, Pelková V, Sedláková V, Vacek O, Pokludová J, Čan V, Šmarda J, Souček K, Hampl A, Beneš P. TACSTD2 upregulation is an early reaction to lung infection. Sci Rep 2022; 12:9583. [PMID: 35688908 PMCID: PMC9185727 DOI: 10.1038/s41598-022-13637-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 05/18/2022] [Indexed: 11/16/2022] Open
Abstract
TACSTD2 encodes a transmembrane glycoprotein Trop2 commonly overexpressed in carcinomas. While the Trop2 protein was discovered already in 1981 and first antibody–drug conjugate targeting Trop2 were recently approved for cancer therapy, the physiological role of Trop2 is still not fully understood. In this article, we show that TACSTD2/Trop2 expression is evolutionarily conserved in lungs of various vertebrates. By analysis of publicly available transcriptomic data we demonstrate that TACSTD2 level consistently increases in lungs infected with miscellaneous, but mainly viral pathogens. Single cell and subpopulation based transcriptomic data revealed that the major source of TACSTD2 transcript are lung epithelial cells and their progenitors and that TACSTD2 is induced directly in lung epithelial cells following infection. Increase in TACSTD2 expression may represent a mechanism to maintain/restore epithelial barrier function and contribute to regeneration process in infected/damaged lungs.
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Affiliation(s)
- Sára Lenárt
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 62500, Czech Republic
| | - Peter Lenárt
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 62500, Czech Republic.,Faculty of Science, Research Centre for Toxic Compounds in the Environment, Masaryk University, Brno, Czech Republic.,Institute of Cell Biology, University of Bern, Bern, Switzerland
| | - Lucia Knopfová
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 62500, Czech Republic.,International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - Hana Kotasová
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic.,Department of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Vendula Pelková
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Veronika Sedláková
- Department of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Ondřej Vacek
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 62500, Czech Republic.,International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic.,Department of Cytokinetics, Institute of Biophysics of the Czech Academy of Sciences, Brno, Czech Republic
| | - Jana Pokludová
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 62500, Czech Republic
| | - Vladimír Čan
- Department of Surgery, University Hospital Brno, Brno, Czech Republic
| | - Jan Šmarda
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 62500, Czech Republic
| | - Karel Souček
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 62500, Czech Republic.,International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic.,Department of Cytokinetics, Institute of Biophysics of the Czech Academy of Sciences, Brno, Czech Republic
| | - Aleš Hampl
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic.,Department of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Petr Beneš
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, Brno, 62500, Czech Republic. .,International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic.
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3
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Lenárt S, Lenárt P, Šmarda J, Remšík J, Souček K, Beneš P. Trop2: Jack of All Trades, Master of None. Cancers (Basel) 2020; 12:E3328. [PMID: 33187148 PMCID: PMC7696911 DOI: 10.3390/cancers12113328] [Citation(s) in RCA: 73] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 11/04/2020] [Accepted: 11/09/2020] [Indexed: 12/20/2022] Open
Abstract
Trophoblast cell surface antigen 2 (Trop2) is a widely expressed glycoprotein and an epithelial cell adhesion molecule (EpCAM) family member. Although initially identified as a transmembrane protein, other subcellular localizations and processed forms were described. Its congenital mutations cause a gelatinous drop-like corneal dystrophy, a disease characterized by loss of barrier function in corneal epithelial cells. Trop2 is considered a stem cell marker and its expression associates with regenerative capacity in various tissues. Trop2 overexpression was described in tumors of different origins; however, functional studies revealed both oncogenic and tumor suppressor roles. Nevertheless, therapeutic potential of Trop2 was recognized and clinical studies with drug-antibody conjugates have been initiated in various cancer types. One of these agents, sacituzumab govitecan, has been recently granted an accelerated approval for therapy of metastatic triple-negative breast cancer. In this article, we review the current knowledge about the yet controversial function of Trop2 in homeostasis and pathology.
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Affiliation(s)
- Sára Lenárt
- Department of Experimental Biology, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic; (S.L.); (P.L.); (J.Š.); (K.S.)
| | - Peter Lenárt
- Department of Experimental Biology, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic; (S.L.); (P.L.); (J.Š.); (K.S.)
- Research Centre for Toxic Compounds in the Environment, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic
| | - Jan Šmarda
- Department of Experimental Biology, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic; (S.L.); (P.L.); (J.Š.); (K.S.)
| | - Ján Remšík
- Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA;
| | - Karel Souček
- Department of Experimental Biology, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic; (S.L.); (P.L.); (J.Š.); (K.S.)
- Department of Cytokinetics, Institute of Biophysics of the Czech Academy of Sciences, 612 65 Brno, Czech Republic
- Center of Biomolecular and Cellular Engineering, International Clinical Research Center, St. Anne’s University Hospital, 656 91 Brno, Czech Republic
| | - Petr Beneš
- Department of Experimental Biology, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic; (S.L.); (P.L.); (J.Š.); (K.S.)
- Center of Biomolecular and Cellular Engineering, International Clinical Research Center, St. Anne’s University Hospital, 656 91 Brno, Czech Republic
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4
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Wang Z, Danziger SA, Heavner BD, Ma S, Smith JJ, Li S, Herricks T, Simeonidis E, Baliga NS, Aitchison JD, Price ND. Combining inferred regulatory and reconstructed metabolic networks enhances phenotype prediction in yeast. PLoS Comput Biol 2017; 13:e1005489. [PMID: 28520713 PMCID: PMC5453602 DOI: 10.1371/journal.pcbi.1005489] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Revised: 06/01/2017] [Accepted: 03/30/2017] [Indexed: 01/24/2023] Open
Abstract
Gene regulatory and metabolic network models have been used successfully in many organisms, but inherent differences between them make networks difficult to integrate. Probabilistic Regulation Of Metabolism (PROM) provides a partial solution, but it does not incorporate network inference and underperforms in eukaryotes. We present an Integrated Deduced And Metabolism (IDREAM) method that combines statistically inferred Environment and Gene Regulatory Influence Network (EGRIN) models with the PROM framework to create enhanced metabolic-regulatory network models. We used IDREAM to predict phenotypes and genetic interactions between transcription factors and genes encoding metabolic activities in the eukaryote, Saccharomyces cerevisiae. IDREAM models contain many fewer interactions than PROM and yet produce significantly more accurate growth predictions. IDREAM consistently outperformed PROM using any of three popular yeast metabolic models and across three experimental growth conditions. Importantly, IDREAM's enhanced accuracy makes it possible to identify subtle synthetic growth defects. With experimental validation, these novel genetic interactions involving the pyruvate dehydrogenase complex suggested a new role for fatty acid-responsive factor Oaf1 in regulating acetyl-CoA production in glucose grown cells.
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Affiliation(s)
- Zhuo Wang
- Key laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- Institute for Systems Biology, Seattle, Washington, United States of America
| | - Samuel A. Danziger
- Institute for Systems Biology, Seattle, Washington, United States of America
- Center for Infectious Disease Research, Seattle, Washington, United States of America
| | - Benjamin D. Heavner
- Institute for Systems Biology, Seattle, Washington, United States of America
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Shuyi Ma
- Institute for Systems Biology, Seattle, Washington, United States of America
- Center for Infectious Disease Research, Seattle, Washington, United States of America
- Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana-Champaign, Illinois, United States of America
| | - Jennifer J. Smith
- Institute for Systems Biology, Seattle, Washington, United States of America
| | - Song Li
- Institute for Systems Biology, Seattle, Washington, United States of America
| | - Thurston Herricks
- Institute for Systems Biology, Seattle, Washington, United States of America
| | | | - Nitin S. Baliga
- Institute for Systems Biology, Seattle, Washington, United States of America
- Departments of Biology and Microbiology & Molecular and Cellular Biology Program, University of Washington, Seattle, Washington, United States of America
- Lawrence Berkeley National Lab, Berkeley, California, United States of America
| | - John D. Aitchison
- Institute for Systems Biology, Seattle, Washington, United States of America
- Center for Infectious Disease Research, Seattle, Washington, United States of America
| | - Nathan D. Price
- Institute for Systems Biology, Seattle, Washington, United States of America
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5
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Kowalsky CA, Faber MS, Nath A, Dann HE, Kelly VW, Liu L, Shanker P, Wagner EK, Maynard JA, Chan C, Whitehead TA. Rapid fine conformational epitope mapping using comprehensive mutagenesis and deep sequencing. J Biol Chem 2015; 290:26457-70. [PMID: 26296891 DOI: 10.1074/jbc.m115.676635] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Indexed: 12/29/2022] Open
Abstract
Knowledge of the fine location of neutralizing and non-neutralizing epitopes on human pathogens affords a better understanding of the structural basis of antibody efficacy, which will expedite rational design of vaccines, prophylactics, and therapeutics. However, full utilization of the wealth of information from single cell techniques and antibody repertoire sequencing awaits the development of a high throughput, inexpensive method to map the conformational epitopes for antibody-antigen interactions. Here we show such an approach that combines comprehensive mutagenesis, cell surface display, and DNA deep sequencing. We develop analytical equations to identify epitope positions and show the method effectiveness by mapping the fine epitope for different antibodies targeting TNF, pertussis toxin, and the cancer target TROP2. In all three cases, the experimentally determined conformational epitope was consistent with previous experimental datasets, confirming the reliability of the experimental pipeline. Once the comprehensive library is generated, fine conformational epitope maps can be prepared at a rate of four per day.
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Affiliation(s)
| | | | | | - Hailey E Dann
- From the Department of Chemical Engineering and Materials Science
| | - Vince W Kelly
- From the Department of Chemical Engineering and Materials Science
| | - Li Liu
- Department of Microbiology and Molecular Genetics, and
| | - Purva Shanker
- From the Department of Chemical Engineering and Materials Science
| | - Ellen K Wagner
- the Department of Chemical Engineering, University of Texas, Austin, Texas 78712
| | - Jennifer A Maynard
- the Department of Chemical Engineering, University of Texas, Austin, Texas 78712
| | - Christina Chan
- From the Department of Chemical Engineering and Materials Science, Department of Biochemistry and Molecular Biology, Genetics Graduate Program
| | - Timothy A Whitehead
- From the Department of Chemical Engineering and Materials Science, Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, Michigan 48824 and
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6
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Shvartsur A, Bonavida B. Trop2 and its overexpression in cancers: regulation and clinical/therapeutic implications. Genes Cancer 2015; 6:84-105. [PMID: 26000093 PMCID: PMC4426947 DOI: 10.18632/genesandcancer.40] [Citation(s) in RCA: 237] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Accepted: 10/19/2014] [Indexed: 12/13/2022] Open
Abstract
Trop2 is a transmembrane glycoprotein encoded by the Tacstd2 gene. It is an intracellular calcium signal transducer that is differentially expressed in many cancers. It signals cells for self-renewal, proliferation, invasion, and survival. It has stem cell-like qualities. Trop2 is expressed in many normal tissues, though in contrast, it is overexpressed in many cancers and the overexpression of Trop2 is of prognostic significance. Several ligands have been proposed that interact with Trop2. Trop2 signals the cells via different pathways and it is transcriptionally regulated by a complex network of several transcription factors. Trop2 expression in cancer cells has been correlated with drug resistance. Several strategies target Trop2 on cancer cells that include antibodies, antibody fusion proteins, chemical inhibitors, nanoparticles, etc. The in vitro studies and pre-clinical studies, using these various therapeutic treatments, have resulted in significant inhibition of tumor cell growth both in vitro and in vivo in mice. A clinical study is underway using IMMU-132 (hrS7 linked to SN38) in patients with epithelial cancers. This review describes briefly the various characteristics of cancer cells overexpressing Trop2 and the potential application of Trop2 as both a prognostic biomarker and as a therapeutic target to reverse resistance.
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Affiliation(s)
- Anna Shvartsur
- Department of Microbiology, Immunology and Molecular Genetics, Jonsson Comprehensive Cancer Center and David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA
| | - Benjamin Bonavida
- Department of Microbiology, Immunology and Molecular Genetics, Jonsson Comprehensive Cancer Center and David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA
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7
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Minervini G, Panizzoni E, Giollo M, Masiero A, Ferrari C, Tosatto SCE. Design and analysis of a Petri net model of the Von Hippel-Lindau (VHL) tumor suppressor interaction network. PLoS One 2014; 9:e96986. [PMID: 24886840 PMCID: PMC4041725 DOI: 10.1371/journal.pone.0096986] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2013] [Accepted: 04/14/2014] [Indexed: 02/01/2023] Open
Abstract
Von Hippel-Lindau (VHL) syndrome is a hereditary condition predisposing to the development of different cancer forms, related to germline inactivation of the homonymous tumor suppressor pVHL. The best characterized function of pVHL is the ubiquitination dependent degradation of Hypoxia Inducible Factor (HIF) via the proteasome. It is also involved in several cellular pathways acting as a molecular hub and interacting with more than 200 different proteins. Molecular details of pVHL plasticity remain in large part unknown. Here, we present a novel manually curated Petri Net (PN) model of the main pVHL functional pathways. The model was built using functional information derived from the literature. It includes all major pVHL functions and is able to credibly reproduce VHL syndrome at the molecular level. The reliability of the PN model also allowed in silico knockout experiments, driven by previous model analysis. Interestingly, PN analysis suggests that the variability of different VHL manifestations is correlated with the concomitant inactivation of different metabolic pathways.
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Affiliation(s)
| | | | - Manuel Giollo
- Dept. of Biomedical Sciences, University of Padua, Padua, Italy
- Dept. of Information Engineering, University of Padua, Padua, Italy
| | | | - Carlo Ferrari
- Dept. of Information Engineering, University of Padua, Padua, Italy
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8
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IPAF inflammasome is involved in interleukin-1β production from astrocytes, induced by palmitate; implications for Alzheimer's Disease. Neurobiol Aging 2013; 35:309-21. [PMID: 24054992 DOI: 10.1016/j.neurobiolaging.2013.08.016] [Citation(s) in RCA: 76] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2013] [Revised: 07/25/2013] [Accepted: 08/16/2013] [Indexed: 11/23/2022]
Abstract
Inflammatory response has been strongly implicated in the pathogenesis of numerous diseases, including Alzheimer's disease (AD). However, little is known about the molecular mechanisms initiating the generation of inflammatory molecules in the central nervous system, such as interleukin-1β (IL-1β). Previously we identified that palmitate can induce primary astrocytes to produce cytokines, causing AD-like changes in primary neurons. Here we investigated and identified that palmitate induced the activation of ice protease-activating factor (IPAF)-apoptosis-associated speck-like protein containing a caspase activation and recruitment domains (CARD) (ASC) inflammasome in astrocytes leading to the maturation of IL-1β, thereby implicating that not only pathogen-related factors can activate the IPAF-ASC inflammasome. Moreover, downregulating IPAF (which was found to be regulated by cAMP response element-binding protein) in astrocytes through silencing to decrease IL-1β secretion from the astrocytes reduced the generation of amyloid-β42 by primary neurons. Furthermore, the expression levels of IPAF and ASC were found significantly elevated in a subgroup of sporadic AD patients, suggesting an involvement of the IPAF-ASC inflammasome in the inflammatory response associated with AD, and thus could be a potential therapeutic target for AD.
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9
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Liu L, Martin R, Kohler G, Chan C. Palmitate induces transcriptional regulation of BACE1 and presenilin by STAT3 in neurons mediated by astrocytes. Exp Neurol 2013; 248:482-90. [PMID: 23968646 DOI: 10.1016/j.expneurol.2013.08.004] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2013] [Revised: 08/02/2013] [Accepted: 08/06/2013] [Indexed: 01/09/2023]
Abstract
Deregulation of calcium has been implicated in neurodegenerative diseases, including Alzheimer's disease (AD). Previously, we showed that saturated free-fatty acid, palmitate, causes AD-like changes in primary cortical neurons mediated by astrocytes. However, the molecular mechanisms by which conditioned medium from astrocytes cultured in palmitate induce AD-like changes in neurons are unknown. This study demonstrates that this condition medium from astrocytes elevates calcium level in the neurons, which subsequently increases calpain activity, a calcium-dependent protease, leading to enhance p25/Cdk5 activity and phosphorylation and activation of the STAT3 (signal transducer and activator of transcription) transcription factor. Inhibiting calpain or Cdk5 significantly reduces the upregulation in nuclear level of pSTAT3, which we found to transcriptionally regulate both BACE1 and presenilin-1, the latter is a catalytic subunit of γ-secretase. Decreasing pSTAT3 levels reduced the mRNA levels of both BACE1 and presenilin-1 to near control levels. These data demonstrate a signal pathway leading to the activation of STAT3, and the generation of the amyloid peptide. Thus, our results suggest that STAT3 is an important potential therapeutic target of AD pathogenesis.
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Affiliation(s)
- Li Liu
- Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824, USA
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