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Horeth E, Bard J, Che M, Wrynn T, Song E, Marzullo B, Burke M, Popat S, Loree T, Zemer J, Tapia J, Frustino J, Kramer J, Sinha S, Romano R. High-Resolution Transcriptomic Landscape of the Human Submandibular Gland. J Dent Res 2023; 102:525-535. [PMID: 36726292 PMCID: PMC10249006 DOI: 10.1177/00220345221147908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Saliva-secreting and transporting cells are part of the complex cellular milieu of the human salivary gland, where they play important roles in normal glandular physiology and diseased states. However, comprehensive molecular characterization, particularly at single-cell resolution, is still incomplete, in part due to difficulty in procuring normal human tissues. Here, we perform an in-depth analysis of male and female adult human submandibular gland (SMG) samples by bulk RNA sequencing (RNA-seq) and examine the molecular underpinnings of the heterogeneous cell populations by single-cell (sc) RNA-seq. Our results from scRNA-seq highlight the remarkable diversity of clusters of epithelial and nonepithelial cells that reside in the SMG that is also faithfully recapitulated by deconvolution of the bulk-RNA data sets. Our analyses reveal complex transcriptomic heterogeneity within both the ductal and acinar subpopulations and identify atypical SMG cell types, such as mucoacinar cells that are unique to humans and ionocytes that have been recently described in the mouse. We use CellChat to explore ligand-receptor interactome predictions that likely mediate crucial cell-cell communications between the various cell clusters. Finally, we apply a trajectory inference method to investigate specific cellular branching points and topology that offers insights into the dynamic and complex differentiation process of the adult SMG. The data sets and the analyses herein comprise an extensive wealth of high-resolution information and a valuable resource for a deeper mechanistic understanding of human SMG biology and pathophysiology.
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Affiliation(s)
- E. Horeth
- Department of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY, USA
| | - J. Bard
- Genomics and Bioinformatics Core, State University of New York at Buffalo, Buffalo, NY, USA
- Department of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - M. Che
- Department of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY, USA
| | - T. Wrynn
- Department of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY, USA
| | - E.A.C. Song
- Department of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY, USA
| | - B. Marzullo
- Genomics and Bioinformatics Core, State University of New York at Buffalo, Buffalo, NY, USA
| | - M.S. Burke
- Erie County Medical Center, Department of Head & Neck/Plastic & Reconstructive Surgery, Buffalo, NY, USA
| | - S. Popat
- Erie County Medical Center, Department of Head & Neck/Plastic & Reconstructive Surgery, Buffalo, NY, USA
| | - T. Loree
- Erie County Medical Center, Department of Head & Neck/Plastic & Reconstructive Surgery, Buffalo, NY, USA
| | - J. Zemer
- Erie County Medical Center Division of Oral Oncology & Maxillofacial Prosthetics, Buffalo, NY, USA
| | - J.L. Tapia
- Department of Oral Diagnostic Sciences, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY, USA
| | - J. Frustino
- Department of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY, USA
- Erie County Medical Center Division of Oral Oncology & Maxillofacial Prosthetics, Buffalo, NY, USA
| | - J.M. Kramer
- Department of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY, USA
| | - S. Sinha
- Department of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - R.A. Romano
- Department of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY, USA
- Department of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
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2
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Ge Y, Chen X, Nan N, Bard J, Wu F, Yergeau D, Liu T, Wang J, Mu X. Key transcription factors influence the epigenetic landscape to regulate retinal cell differentiation. Nucleic Acids Res 2023; 51:2151-2176. [PMID: 36715342 PMCID: PMC10018358 DOI: 10.1093/nar/gkad026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 01/05/2023] [Accepted: 01/09/2023] [Indexed: 01/31/2023] Open
Abstract
How the diverse neural cell types emerge from multipotent neural progenitor cells during central nervous system development remains poorly understood. Recent scRNA-seq studies have delineated the developmental trajectories of individual neural cell types in many neural systems including the neural retina. Further understanding of the formation of neural cell diversity requires knowledge about how the epigenetic landscape shifts along individual cell lineages and how key transcription factors regulate these changes. In this study, we dissect the changes in the epigenetic landscape during early retinal cell differentiation by scATAC-seq and identify globally the enhancers, enriched motifs, and potential interacting transcription factors underlying the cell state/type specific gene expression in individual lineages. Using CUT&Tag, we further identify the enhancers bound directly by four key transcription factors, Otx2, Atoh7, Pou4f2 and Isl1, including those dependent on Atoh7, and uncover the sequential and combinatorial interactions of these factors with the epigenetic landscape to control gene expression along individual retinal cell lineages such as retinal ganglion cells (RGCs). Our results reveal a general paradigm in which transcription factors collaborate and compete to regulate the emergence of distinct retinal cell types such as RGCs from multipotent retinal progenitor cells (RPCs).
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Affiliation(s)
- Yichen Ge
- Department of Ophthalmology/Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Xushen Chen
- Department of Ophthalmology/Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Nan Nan
- Department of Ophthalmology/Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA
| | - Jonathan Bard
- New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, NY, USA
| | - Fuguo Wu
- Department of Ophthalmology/Ross Eye Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Donald Yergeau
- New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, NY, USA
| | - Tao Liu
- Department of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Jie Wang
- Correspondence may also be addressed to Jie Wang.
| | - Xiuqian Mu
- To whom correspondence should be addressed. Tel: +1 716 881 7463; Fax: +1 716 887 2991;
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3
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Liu L, Johnson PD, Prime ME, Khetarpal V, Brown CJ, Anzillotti L, Bertoglio D, Chen X, Coe S, Davis R, Dickie AP, Esposito S, Gadouleau E, Giles PR, Greenaway C, Haber J, Halldin C, Haller S, Hayes S, Herbst T, Herrmann F, Heßmann M, Hsai MM, Khani Y, Kotey A, Lembo A, Mangette JE, Marriner GA, Marston RW, Mills MR, Monteagudo E, Forsberg-Morén A, Nag S, Orsatti L, Sandiego C, Schaertl S, Sproston J, Staelens S, Tookey J, Turner PA, Vecchi A, Veneziano M, Muñoz-Sanjuan I, Bard J, Dominguez C. Design and Evaluation of [ 18F]CHDI-650 as a Positron Emission Tomography Ligand to Image Mutant Huntingtin Aggregates. J Med Chem 2023; 66:641-656. [PMID: 36548390 DOI: 10.1021/acs.jmedchem.2c01585] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Therapeutic interventions are being developed for Huntington's disease (HD), a hallmark of which is mutant huntingtin protein (mHTT) aggregates. Following the advancement to human testing of two [11C]-PET ligands for aggregated mHTT, attributes for further optimization were identified. We replaced the pyridazinone ring of CHDI-180 with a pyrimidine ring and minimized off-target binding using brain homogenate derived from Alzheimer's disease patients. The major in vivo metabolic pathway via aldehyde oxidase was blocked with a 2-methyl group on the pyrimidine ring. A strategically placed ring-nitrogen on the benzoxazole core ensured high free fraction in the brain without introducing efflux. Replacing a methoxy pendant with a fluoro-ethoxy group and introducing deuterium atoms suppressed oxidative defluorination and accumulation of [18F]-signal in bones. The resulting PET ligand, CHDI-650, shows a rapid brain uptake and washout profile in non-human primates and is now being advanced to human testing.
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Affiliation(s)
- Longbin Liu
- CHDI Management/CHDI Foundation, 6080 Center Drive, Suite 700, Los Angeles, California 90045, United States
| | - Peter D Johnson
- Evotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, U.K
| | - Michael E Prime
- Evotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, U.K
| | - Vinod Khetarpal
- CHDI Management/CHDI Foundation, 6080 Center Drive, Suite 700, Los Angeles, California 90045, United States
| | - Christopher J Brown
- Evotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, U.K
| | - Luca Anzillotti
- Experimental Pharmacology Department, IRBM S.p.A., Via Pontina km 30,600, Pomezia, Roma 00071, Italy
| | - Daniele Bertoglio
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Universiteitsplein 1, B-2610 Wilrijk, Belgium
| | - Xuemei Chen
- Curia Global, Inc., 1001 Main Street, Buffalo, New York 14203, United States
| | - Samuel Coe
- Evotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, U.K
| | - Randall Davis
- Curia Global, Inc., 1001 Main Street, Buffalo, New York 14203, United States
| | - Anthony P Dickie
- Evotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, U.K
| | - Simone Esposito
- Experimental Pharmacology Department, IRBM S.p.A., Via Pontina km 30,600, Pomezia, Roma 00071, Italy
| | - Elise Gadouleau
- Evotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, U.K
| | - Paul R Giles
- Evotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, U.K
| | - Catherine Greenaway
- Evotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, U.K
| | - James Haber
- Curia Global, Inc., 1001 Main Street, Buffalo, New York 14203, United States
| | - Christer Halldin
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Hospital, Karolinska Institutet, Stockholm S-17176, Sweden
| | - Scott Haller
- Charles River Laboratories, 54943 North Main Street, Mattawan, Michigan 49071, United States
| | - Sarah Hayes
- Evotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, U.K
| | - Todd Herbst
- CHDI Management/CHDI Foundation, 6080 Center Drive, Suite 700, Los Angeles, California 90045, United States
| | - Frank Herrmann
- Evotec SE, Manfred Eigen Campus, Essener Bogen 7, Hamburg 22419, Germany
| | - Manuela Heßmann
- Evotec SE, Manfred Eigen Campus, Essener Bogen 7, Hamburg 22419, Germany
| | - Ming Min Hsai
- Curia Global, Inc., 1001 Main Street, Buffalo, New York 14203, United States
| | - Yaser Khani
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Hospital, Karolinska Institutet, Stockholm S-17176, Sweden
| | - Adrian Kotey
- Evotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, U.K
| | - Angelo Lembo
- Experimental Pharmacology Department, IRBM S.p.A., Via Pontina km 30,600, Pomezia, Roma 00071, Italy
| | - John E Mangette
- Curia Global, Inc., 1001 Main Street, Buffalo, New York 14203, United States
| | - Gwendolyn A Marriner
- Charles River Laboratories, 54943 North Main Street, Mattawan, Michigan 49071, United States
| | - Richard W Marston
- Evotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, U.K
| | - Matthew R Mills
- Evotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, U.K
| | - Edith Monteagudo
- CHDI Management/CHDI Foundation, 6080 Center Drive, Suite 700, Los Angeles, California 90045, United States
| | - Anton Forsberg-Morén
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Hospital, Karolinska Institutet, Stockholm S-17176, Sweden
| | - Sangram Nag
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Hospital, Karolinska Institutet, Stockholm S-17176, Sweden
| | - Laura Orsatti
- Experimental Pharmacology Department, IRBM S.p.A., Via Pontina km 30,600, Pomezia, Roma 00071, Italy
| | - Christine Sandiego
- Invicro, 60 Temple St, Ste 8A, New Haven, Connecticut 06510, United States
| | - Sabine Schaertl
- Evotec SE, Manfred Eigen Campus, Essener Bogen 7, Hamburg 22419, Germany
| | - Joanne Sproston
- Evotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, U.K
| | - Steven Staelens
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Universiteitsplein 1, B-2610 Wilrijk, Belgium
| | - Jack Tookey
- Evotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, U.K
| | - Penelope A Turner
- Evotec (U.K.) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, U.K
| | - Andrea Vecchi
- Experimental Pharmacology Department, IRBM S.p.A., Via Pontina km 30,600, Pomezia, Roma 00071, Italy
| | - Maria Veneziano
- Experimental Pharmacology Department, IRBM S.p.A., Via Pontina km 30,600, Pomezia, Roma 00071, Italy
| | - Ignacio Muñoz-Sanjuan
- CHDI Management/CHDI Foundation, 6080 Center Drive, Suite 700, Los Angeles, California 90045, United States
| | - Jonathan Bard
- CHDI Management/CHDI Foundation, 6080 Center Drive, Suite 700, Los Angeles, California 90045, United States
| | - Celia Dominguez
- CHDI Management/CHDI Foundation, 6080 Center Drive, Suite 700, Los Angeles, California 90045, United States
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4
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Bertoglio D, Zajicek F, Lombaerde SD, Miranda A, Stroobants S, Wang Y, Dominguez C, Munoz-Sanjuan I, Bard J, Liu L, Verhaeghe J, Staelens S. Validation, kinetic modeling, and test-retest reproducibility of [ 18F]SynVesT-1 for PET imaging of synaptic vesicle glycoprotein 2A in mice. J Cereb Blood Flow Metab 2022; 42:1867-1878. [PMID: 35570828 PMCID: PMC9536120 DOI: 10.1177/0271678x221101648] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Alterations in synaptic vesicle glycoprotein 2 A (SV2A) have been associated with several neuropsychiatric and neurodegenerative disorders. Therefore, SV2A positron emission tomography (PET) imaging may provide a unique tool to investigate synaptic density dynamics during disease progression and after therapeutic intervention. This study aims to extensively characterize the novel radioligand [18F]SynVesT-1 for preclinical applications. In C57Bl/6J mice (n = 39), we assessed the plasma profile of [18F]SynVesT-1, validated the use of a noninvasive image-derived input function (IDIF) compared to an arterial input function (AIF), performed a blocking study with levetiracetam (50 and 200 mg/kg, i.p.) to verify the specificity towards SV2A, examined kinetic models for volume of distribution (VT) quantification, and explored test-retest reproducibility of [18F]SynVesT-1 in the central nervous system (CNS). Plasma availability of [18F]SynVesT-1 decreased rapidly (13.4 ± 1.5% at 30 min post-injection). VT based on AIF and IDIF showed excellent agreement (r2 = 0.95, p < 0.0001) and could be reliably estimated with a 60-min acquisition. The blocking study resulted in a complete blockade with no suitable reference region. Test-retest analysis indicated good reproducibility (mean absolute variability <10%). In conclusion, [18F]SynVesT-1 is selective for SV2A with optimal kinetics representing a candidate tool to quantify CNS synaptic density non-invasively.
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Affiliation(s)
- Daniele Bertoglio
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Antwerp, Belgium
| | - Franziska Zajicek
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Antwerp, Belgium
| | - Stef De Lombaerde
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Antwerp, Belgium.,Department of Nuclear Medicine, Antwerp University Hospital, Edegem, Belgium
| | - Alan Miranda
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Antwerp, Belgium
| | - Sigrid Stroobants
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Antwerp, Belgium.,Department of Nuclear Medicine, Antwerp University Hospital, Edegem, Belgium
| | - Yuchuan Wang
- CHDI Management/CHDI Foundation, Los Angeles, California, USA
| | - Celia Dominguez
- CHDI Management/CHDI Foundation, Los Angeles, California, USA
| | | | - Jonathan Bard
- CHDI Management/CHDI Foundation, Los Angeles, California, USA
| | - Longbin Liu
- CHDI Management/CHDI Foundation, Los Angeles, California, USA
| | - Jeroen Verhaeghe
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Antwerp, Belgium
| | - Steven Staelens
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Antwerp, Belgium
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Glathar AR, Oyelakin A, Gluck C, Bard J, Sinha S. p63 Directs Subtype-Specific Gene Expression in HPV+ Head and Neck Squamous Cell Carcinoma. Front Oncol 2022; 12:879054. [PMID: 35712470 PMCID: PMC9192977 DOI: 10.3389/fonc.2022.879054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 04/19/2022] [Indexed: 11/22/2022] Open
Abstract
The complex heterogeneity of head and neck squamous cell carcinoma (HNSCC) reflects a diverse underlying etiology. This heterogeneity is also apparent within Human Papillomavirus-positive (HPV+) HNSCC subtypes, which have distinct gene expression profiles and patient outcomes. One aggressive HPV+ HNSCC subtype is characterized by elevated expression of genes involved in keratinization, a process regulated by the oncogenic transcription factor ΔNp63. Furthermore, the human TP63 gene locus is a frequent HPV integration site and HPV oncoproteins drive ΔNp63 expression, suggesting an unexplored functional link between ΔNp63 and HPV+ HNSCC. Here we show that HPV+ HNSCCs can be molecularly stratified according to ΔNp63 expression levels and derive a ΔNp63-associated gene signature profile for such tumors. We leveraged RNA-seq data from p63 knockdown cells and ChIP-seq data for p63 and histone marks from two ΔNp63high HPV+ HNSCC cell lines to identify an epigenetically refined ΔNp63 cistrome. Our integrated analyses reveal crucial ΔNp63-bound super-enhancers likely to mediate HPV+ HNSCC subtype-specific gene expression that is anchored, in part, by the PI3K-mTOR pathway. These findings implicate ΔNp63 as a key regulator of essential oncogenic pathways in a subtype of HPV+ HNSCC that can be exploited as a biomarker for patient stratification and treatment choices.
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Bertoglio D, Bard J, Hessmann M, Liu L, Gärtner A, De Lombaerde S, Huscher B, Zajicek F, Miranda A, Peters F, Herrmann F, Schaertl S, Vasilkovska T, Brown CJ, Johnson PD, Prime ME, Mills MR, Van der Linden A, Mrzljak L, Khetarpal V, Wang Y, Marchionini DM, Skinbjerg M, Verhaeghe J, Dominguez C, Staelens S, Munoz-Sanjuan I. Development of a ligand for in vivo imaging of mutant huntingtin in Huntington's disease. Sci Transl Med 2022; 14:eabm3682. [PMID: 35108063 DOI: 10.1126/scitranslmed.abm3682] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Huntington's disease (HD) is a dominantly inherited neurodegenerative disorder caused by a CAG trinucleotide expansion in the huntingtin (HTT) gene that encodes the pathologic mutant HTT (mHTT) protein with an expanded polyglutamine (polyQ) tract. Whereas several therapeutic programs targeting mHTT expression have advanced to clinical evaluation, methods to visualize mHTT protein species in the living brain are lacking. Here, we demonstrate the development and characterization of a positron emission tomography (PET) imaging radioligand with high affinity and selectivity for mHTT aggregates. This small molecule radiolabeled with 11C ([11C]CHDI-180R) allowed noninvasive monitoring of mHTT pathology in the brain and could track region- and time-dependent suppression of mHTT in response to therapeutic interventions targeting mHTT expression in a rodent model. We further showed that in these animals, therapeutic agents that lowered mHTT in the striatum had a functional restorative effect that could be measured by preservation of striatal imaging markers, enabling a translational path to assess the functional effect of mHTT lowering.
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Affiliation(s)
- Daniele Bertoglio
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk 2610, Belgium
| | - Jonathan Bard
- CHDI Management/CHDI Foundation, Los Angeles, CA 90045, USA
| | | | - Longbin Liu
- CHDI Management/CHDI Foundation, Los Angeles, CA 90045, USA
| | | | - Stef De Lombaerde
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk 2610, Belgium.,Department of Nuclear Medicine, Antwerp University Hospital, Edegem 2650, Belgium
| | | | - Franziska Zajicek
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk 2610, Belgium
| | - Alan Miranda
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk 2610, Belgium
| | | | | | | | | | | | | | | | | | | | | | | | - Yuchuan Wang
- CHDI Management/CHDI Foundation, Los Angeles, CA 90045, USA
| | | | | | - Jeroen Verhaeghe
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk 2610, Belgium
| | | | - Steven Staelens
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk 2610, Belgium
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Horeth E, Oyelakin A, Song EAC, Che M, Bard J, Min S, Kiripolsky J, Kramer JM, Sinha S, Romano RA. Transcriptomic and Single-Cell Analysis Reveals Regulatory Networks and Cellular Heterogeneity in Mouse Primary Sjögren's Syndrome Salivary Glands. Front Immunol 2021; 12:729040. [PMID: 34912329 PMCID: PMC8666453 DOI: 10.3389/fimmu.2021.729040] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 11/02/2021] [Indexed: 12/16/2022] Open
Abstract
Sjögren’s Syndrome (SS) is a chronic autoimmune disease of unknown etiology which primarily affects the salivary and lacrimal glands resulting in the loss of secretory function. Treatment options for SS have been hampered due to the lack of a better understanding of the underlying gene regulatory circuitry and the interplay between the myriad pathological cellular states that contribute to salivary gland dysfunction. To better elucidate the molecular nature of SS, we have performed RNA-sequencing analysis of the submandibular glands (SMG) of a well-established primary Sjögren’s Syndrome (pSS) mouse model. Our comprehensive examination of global gene expression and comparative analyses with additional SS mouse models and human datasets, have identified a number of important pathways and regulatory networks that are relevant in SS pathobiology. To complement these studies, we have performed single-cell RNA sequencing to examine and identify the molecular and cellular heterogeneity of the diseased cell populations of the mouse SMG. Interrogation of the single-cell transcriptomes has shed light on the diversity of immune cells that are dysregulated in SS and importantly, revealed an activated state of the salivary gland epithelial cells that contribute to the global immune mediated responses. Overall, our broad studies have not only revealed key pathways, mediators and new biomarkers, but have also uncovered the complex nature of the cellular populations in the SMG that are likely to drive the progression of SS. These newly discovered insights into the underlying molecular mechanisms and cellular states of SS will better inform targeted therapeutic discoveries.
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Affiliation(s)
- Erich Horeth
- Department of Oral Biology, State University of New York at Buffalo, Buffalo, NY, United States
| | - Akinsola Oyelakin
- Department of Oral Biology, State University of New York at Buffalo, Buffalo, NY, United States
| | - Eun-Ah Christine Song
- Department of Oral Biology, State University of New York at Buffalo, Buffalo, NY, United States
| | - Monika Che
- Department of Oral Biology, State University of New York at Buffalo, Buffalo, NY, United States
| | - Jonathan Bard
- Genomics and Bioinformatics Core, State University of New York at Buffalo, Buffalo, NY, United States.,Department of Biochemistry, State University of New York at Buffalo, Buffalo, NY, United States
| | - Sangwon Min
- Department of Oral Biology, State University of New York at Buffalo, Buffalo, NY, United States
| | - Jeremy Kiripolsky
- Department of Oral Biology, State University of New York at Buffalo, Buffalo, NY, United States
| | - Jill M Kramer
- Department of Oral Biology, State University of New York at Buffalo, Buffalo, NY, United States
| | - Satrajit Sinha
- Department of Biochemistry, State University of New York at Buffalo, Buffalo, NY, United States
| | - Rose-Anne Romano
- Department of Oral Biology, State University of New York at Buffalo, Buffalo, NY, United States.,Department of Biochemistry, State University of New York at Buffalo, Buffalo, NY, United States
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Bard J. Deuterostome Evolution: from the Beginnings to the Amphibians. Evolution 2021. [DOI: 10.1201/9780429346217-17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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10
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Bard J. Variation 2: Evolutionary Change. Evolution 2021. [DOI: 10.1201/9780429346217-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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11
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12
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13
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Bard J. A Potted History of Evolutionary Science. Evolution 2021. [DOI: 10.1201/9780429346217-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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14
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Bard J. The First Two Billion Years. Evolution 2021. [DOI: 10.1201/9780429346217-12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Bard J. The Cambrian Explosion and the Evolution of Protostomes. Evolution 2021. [DOI: 10.1201/9780429346217-16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Bard J. Evolutionary Population Genetics. Evolution 2021. [DOI: 10.1201/9780429346217-25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Bard J. The Anatomical Evidence for Evolutionary Change. Evolution 2021. [DOI: 10.1201/9780429346217-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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18
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Bard J. Analysing Evolutionary Change. Evolution 2021. [DOI: 10.1201/9780429346217-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Bard J. The Roots of the Eukaryotic Tree of Life. Evolution 2021. [DOI: 10.1201/9780429346217-13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Bard J. Vertebrate Evolution: Stem Mammals, Reptiles, and Birds. Evolution 2021. [DOI: 10.1201/9780429346217-18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Bard J. Adaptation, Symbionts, and Holobionts. Evolution 2021. [DOI: 10.1201/9780429346217-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Bard J. Human Evolution 1: the Fossil Evidence. Evolution 2021. [DOI: 10.1201/9780429346217-28] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Bard J. Vertebrate Evolution: Mammals. Evolution 2021. [DOI: 10.1201/9780429346217-19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Bard J. The Evolution of Algae and Plants. Evolution 2021. [DOI: 10.1201/9780429346217-14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Bard J. Life Today: Species, Diversity, and Classification. Evolution 2021. [DOI: 10.1201/9780429346217-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Bard J. Human Evolution 3: the Origins of Modern Humans. Evolution 2021. [DOI: 10.1201/9780429346217-30] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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29
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Bard J. Variation 1: Mutations and Phenotypes. Evolution 2021. [DOI: 10.1201/9780429346217-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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30
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Bard J. The Ediacaran Period and the Early Evolution of the Metazoa. Evolution 2021. [DOI: 10.1201/9780429346217-15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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32
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Bertoglio D, Verhaeghe J, Wyffels L, Miranda A, Stroobants S, Mrzljak L, Dominguez C, Skinbjerg M, Bard J, Liu L, Munoz-Sanjuan I, Staelens S. Synaptic vesicle glycoprotein 2A is affected in the CNS of Huntington's Disease mice and post-mortem human HD brain. J Nucl Med 2021; 63:942-947. [PMID: 34531262 DOI: 10.2967/jnumed.121.262709] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/26/2021] [Indexed: 11/16/2022] Open
Abstract
Synaptic dysfunction is a primary mechanism underlying Huntington's Disease (HD) progression. This study investigated changes in synaptic vesicle glycoprotein 2A (SV2A) density by means of 11C-UCB-J microPET imaging in the central nervous system (CNS) of HD mice. METHODS: Dynamic 11C-UCB-J microPET imaging was performed at clinically relevant disease stages (at 3, 7, 10, and 16 months, M) in the heterozygous knock-in Q175DN mouse model of HD and WT littermates (n = 16-18/genotype and time point). Cerebral 11C-UCB-J analyses were performed to assess genotypic differences during pre-symptomatic (3M) and symptomatic (7-16M) disease stages. 11C-UCB-J binding in the spinal cord was quantified at 16M. 3H-UCB-J autoradiography and SV2A immunofluorescence were performed post-mortem in mouse and human brain tissue. RESULTS: 11C-UCB-J binding was declined in symptomatic heterozygous mice compared to WT littermates in parallel with disease progression (7M: p<0.01, 16M: p<0.0001). Specific 11C-UCB-J binding was detectable in the spinal cord, with symptomatic heterozygous mice displaying a significant reduction (p<0.0001). 3H-UCB-J autoradiography and SV2A immunofluorescence corroborated the in vivo measurements demonstrating lowered SV2A in heterozygous mice (p<0.05). Finally, preliminary analysis of SV2A in post-mortem human brain suggested lower SV2A in HD gene carrier compared to nondemented control. CONCLUSION: 11C-UCB-J PET detects SV2A deficits during symptomatic disease in heterozygous mice in both brain and spinal cord, offering a novel marker of synaptic integrity widely distributed in CNS. Upon clinical application, 11C-UCB-J PET imaging yields promise for SV2A measurement in patients with HD during disease progression and following disease-modifying therapeutic strategies.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Longbin Liu
- CHDI Management/CHDI Foundation, United States
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Gluck C, Min S, Oyelakin A, Che M, Horeth E, Song EAC, Bard J, Lamb N, Sinha S, Romano RA. A Global Vista of the Epigenomic State of the Mouse Submandibular Gland. J Dent Res 2021; 100:1492-1500. [PMID: 33978512 DOI: 10.1177/00220345211012000] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
The parotid, submandibular, and sublingual glands represent a trio of oral secretory glands whose primary function is to produce saliva, facilitate digestion of food, provide protection against microbes, and maintain oral health. While recent studies have begun to shed light on the global gene expression patterns and profiles of salivary glands, particularly those of mice, relatively little is known about the location and identity of transcriptional control elements. Here we have established the epigenomic landscape of the mouse submandibular salivary gland (SMG) by performing chromatin immunoprecipitation sequencing experiments for 4 key histone marks. Our analysis of the comprehensive SMG data sets and comparisons with those from other adult organs have identified critical enhancers and super-enhancers of the mouse SMG. By further integrating these findings with complementary RNA-sequencing based gene expression data, we have unearthed a number of molecular regulators such as members of the Fox family of transcription factors that are enriched and likely to be functionally relevant for SMG biology. Overall, our studies provide a powerful atlas of cis-regulatory elements that can be leveraged for better understanding the transcriptional control mechanisms of the mouse SMG, discovery of novel genetic switches, and modulating tissue-specific gene expression in a targeted fashion.
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Affiliation(s)
- C Gluck
- Department of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - S Min
- Department of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY, USA
| | - A Oyelakin
- Department of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY, USA
| | - M Che
- Department of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY, USA
| | - E Horeth
- Department of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY, USA
| | - E A C Song
- Department of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY, USA
| | - J Bard
- Department of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA.,Genomics and Bioinformatics Core, State University of New York at Buffalo, Buffalo, NY, USA
| | - N Lamb
- Genomics and Bioinformatics Core, State University of New York at Buffalo, Buffalo, NY, USA
| | - S Sinha
- Department of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - R A Romano
- Department of Biochemistry, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA.,Department of Oral Biology, School of Dental Medicine, State University of New York at Buffalo, Buffalo, NY, USA
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35
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Ge Y, Wu F, Cheng M, Bard J, Mu X. Two new genetically modified mouse alleles labeling distinct phases of retinal ganglion cell development by fluorescent proteins. Dev Dyn 2020; 249:1514-1528. [PMID: 32741043 PMCID: PMC7855626 DOI: 10.1002/dvdy.233] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 07/14/2020] [Accepted: 07/29/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND During development, all retinal cell types arise from retinal progenitor cells (RPCs) in a step-wise fashion. Atoh7 and Pou4f2 mark, and function in, two phases of retinal ganglion cell (RGC) genesis; Atoh7 functions in a subpopulation of RPCs to render them competent for the RGC fate, whereas Pou4f2 participates in RGC fate specification and RGC differentiation. Despite extensive research on their roles, the properties of the two phases represented by these two factors have not been well studied, likely due to the retinal cellular heterogeneity. RESULTS In this report, we describe two novel knock-in mouse alleles, Atoh7zsGreenCreERT2 and Pou4f2FlagtdTomato , which labeled retinal cells in the two phases of RGC development by fluorescent proteins. Also, the Atoh7zsGreenCreERT2 allele allowed for indirect labeling of RGCs and other cell types upon tamoxifen induction in a dose-dependent manner. Further, these alleles could be used to purify retinal cells in the different phases by fluorescence assisted cell sorting (FACS). Single cell RNA-seq analysis of purified cells from Atoh7zsGreenCreERT2 retinas further validated that this allele labeled both transitional/competent RPCs and their progenies including RGCs. CONCLUSIONS Thus, these two alleles are very useful tools for studying the molecular and genetic mechanisms underlying RGC formation.
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Affiliation(s)
- Yichen Ge
- Department of Ophthalmology/Ross Eye Institute, University at Buffalo, Buffalo, NY
| | - Fuguo Wu
- Department of Ophthalmology/Ross Eye Institute, University at Buffalo, Buffalo, NY
| | - Mobin Cheng
- Department of Ophthalmology/Ross Eye Institute, University at Buffalo, Buffalo, NY
| | - Jonathan Bard
- New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, NY
| | - Xiuqian Mu
- Department of Ophthalmology/Ross Eye Institute, University at Buffalo, Buffalo, NY
- New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, NY
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36
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Tsompana M, Gluck C, Sethi I, Joshi I, Bard J, Nowak NJ, Sinha S, Buck MJ. Reactivation of super-enhancers by KLF4 in human Head and Neck Squamous Cell Carcinoma. Oncogene 2019; 39:262-277. [PMID: 31477832 DOI: 10.1038/s41388-019-0990-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 05/29/2019] [Accepted: 06/03/2019] [Indexed: 12/18/2022]
Abstract
Head and neck squamous cell carcinoma (HNSCC) is a disease of significant morbidity and mortality and rarely diagnosed in early stages. Despite extensive genetic and genomic characterization, targeted therapeutics and diagnostic markers of HNSCC are lacking due to the inherent heterogeneity and complexity of the disease. Herein, we have generated the global histone mark based epigenomic and transcriptomic cartogram of SCC25, a representative cell type of mesenchymal HNSCC and its normal oral keratinocyte counterpart. Examination of genomic regions marked by differential chromatin states and associated with misregulated gene expression led us to identify SCC25 enriched regulatory sequences and transcription factors (TF) motifs. These findings were further strengthened by ATAC-seq based open chromatin and TF footprint analysis which unearthed Krüppel-like Factor 4 (KLF4) as a potential key regulator of the SCC25 cistrome. We reaffirm the results obtained from in silico and chromatin studies in SCC25 by ChIP-seq of KLF4 and identify ΔNp63 as a co-oncogenic driver of the cancer-specific gene expression milieu. Taken together, our results lead us to propose a model where elevated KLF4 levels sustains the oncogenic state of HNSCC by reactivating repressed chromatin domains at key downstream genes, often by targeting super-enhancers.
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Affiliation(s)
- Maria Tsompana
- Department of Biochemistry, Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Christian Gluck
- Department of Biochemistry, Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Isha Sethi
- Department of Biochemistry, Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Ishita Joshi
- Department of Biochemistry, Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Jonathan Bard
- Department of Biochemistry, Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Norma J Nowak
- Department of Biochemistry, Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Satrajit Sinha
- Department of Biochemistry, Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, Buffalo, NY, USA.
| | - Michael J Buck
- Department of Biochemistry, Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, Buffalo, NY, USA.
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Zeitler B, Froelich S, Marlen K, Shivak DA, Yu Q, Li D, Pearl JR, Miller JC, Zhang L, Paschon DE, Hinkley SJ, Ankoudinova I, Lam S, Guschin D, Kopan L, Cherone JM, Nguyen HOB, Qiao G, Ataei Y, Mendel MC, Amora R, Surosky R, Laganiere J, Vu BJ, Narayanan A, Sedaghat Y, Tillack K, Thiede C, Gärtner A, Kwak S, Bard J, Mrzljak L, Park L, Heikkinen T, Lehtimäki KK, Svedberg MM, Häggkvist J, Tari L, Tóth M, Varrone A, Halldin C, Kudwa AE, Ramboz S, Day M, Kondapalli J, Surmeier DJ, Urnov FD, Gregory PD, Rebar EJ, Muñoz-Sanjuán I, Zhang HS. Allele-selective transcriptional repression of mutant HTT for the treatment of Huntington's disease. Nat Med 2019; 25:1131-1142. [PMID: 31263285 DOI: 10.1038/s41591-019-0478-3] [Citation(s) in RCA: 109] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Accepted: 05/03/2019] [Indexed: 02/08/2023]
Abstract
Huntington's disease (HD) is a dominantly inherited neurodegenerative disorder caused by a CAG trinucleotide expansion in the huntingtin gene (HTT), which codes for the pathologic mutant HTT (mHTT) protein. Since normal HTT is thought to be important for brain function, we engineered zinc finger protein transcription factors (ZFP-TFs) to target the pathogenic CAG repeat and selectively lower mHTT as a therapeutic strategy. Using patient-derived fibroblasts and neurons, we demonstrate that ZFP-TFs selectively repress >99% of HD-causing alleles over a wide dose range while preserving expression of >86% of normal alleles. Other CAG-containing genes are minimally affected, and virally delivered ZFP-TFs are active and well tolerated in HD neurons beyond 100 days in culture and for at least nine months in the mouse brain. Using three HD mouse models, we demonstrate improvements in a range of molecular, histopathological, electrophysiological and functional endpoints. Our findings support the continued development of an allele-selective ZFP-TF for the treatment of HD.
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Affiliation(s)
| | | | | | | | - Qi Yu
- Sangamo Therapeutics, Inc., Richmond, CA, USA
| | - Davis Li
- Sangamo Therapeutics, Inc., Richmond, CA, USA
| | | | | | - Lei Zhang
- Sangamo Therapeutics, Inc., Richmond, CA, USA
| | | | | | | | - Stephen Lam
- Sangamo Therapeutics, Inc., Richmond, CA, USA
| | - Dmitry Guschin
- Sangamo Therapeutics, Inc., Richmond, CA, USA.,Laboratory of Intracellular Signalling, Moscow Institute of Physics and Technology, Dolgoprudnyi, Russian Federation
| | - Lexi Kopan
- Sangamo Therapeutics, Inc., Richmond, CA, USA
| | | | | | | | | | | | | | | | - Josee Laganiere
- Sangamo Therapeutics, Inc., Richmond, CA, USA.,Medical Affairs and Innovation, Hema-Quebec, Quebec City, Quebec, Canada
| | - B Joseph Vu
- Sangamo Therapeutics, Inc., Richmond, CA, USA
| | | | | | | | | | | | - Seung Kwak
- CHDI Management/CHDI Foundation, Los Angeles, CA, USA
| | - Jonathan Bard
- CHDI Management/CHDI Foundation, Los Angeles, CA, USA
| | | | - Larry Park
- CHDI Management/CHDI Foundation, Los Angeles, CA, USA
| | | | | | - Marie M Svedberg
- Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet and Stockholm County Council, Stockholm, Sweden
| | - Jenny Häggkvist
- Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet and Stockholm County Council, Stockholm, Sweden
| | - Lenke Tari
- Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet and Stockholm County Council, Stockholm, Sweden
| | - Miklós Tóth
- Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet and Stockholm County Council, Stockholm, Sweden
| | - Andrea Varrone
- Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet and Stockholm County Council, Stockholm, Sweden
| | - Christer Halldin
- Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet and Stockholm County Council, Stockholm, Sweden
| | | | | | - Michelle Day
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Jyothisri Kondapalli
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - D James Surmeier
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Fyodor D Urnov
- Sangamo Therapeutics, Inc., Richmond, CA, USA.,Innovative Genomics Institute, Berkeley, CA, USA
| | | | | | | | - H Steve Zhang
- Sangamo Therapeutics, Inc., Richmond, CA, USA.,Applied StemCell, Inc., Milpitas, CA, USA
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Reindl W, Baldo B, Schulz J, Janack I, Lindner I, Kleinschmidt M, Sedaghat Y, Thiede C, Tillack K, Schmidt C, Cardaun I, Schwagarus T, Herrmann F, Hotze M, Osborne GF, Herrmann S, Weiss A, Zerbinatti C, Bates GP, Bard J, Munoz-Sanjuan I, Macdonald D. Meso scale discovery-based assays for the detection of aggregated huntingtin. PLoS One 2019; 14:e0213521. [PMID: 30913220 PMCID: PMC6435127 DOI: 10.1371/journal.pone.0213521] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Accepted: 02/24/2019] [Indexed: 12/31/2022] Open
Abstract
Huntington's disease (HD) is a monogenic neurodegenerative disorder caused by an expansion of the CAG trinucleotide repeat domain in the huntingtin (HTT) gene, leading to an expanded poly-glutamine (polyQ) stretch in the HTT protein. This mutant HTT (mHTT) protein is highly prone to intracellular aggregation, causing significant damage and cellular loss in the striatal, cortical, and other regions of the brain. Therefore, modulation of mHTT levels in these brain regions in order to reduce intracellular mHTT and aggregate levels represents a direct approach in the development of HD therapeutics. To this end, assays that can be used to detect changes in HTT levels in biological samples are invaluable tools to assess target engagement and guide dose selection in clinical trials. The Meso Scale Discovery (MSD) ELISA-based assay platform is a robust and sensitive method previously employed for the quantification of HTT. However, the currently available MSD assays for HTT are primarily detecting the monomeric soluble form of the protein, but not aggregated species. In this study, we describe the development of novel MSD assays preferentially detecting mHTT in an aggregated form. Recombinant monomeric HTT(1-97)-Q46, which forms aggregates in a time-dependent manner, was used to characterize the ability of each established assay to distinguish between HTT monomers and HTT in a higher assembly state. Further validation of these assays was performed using brain lysates from R6/2, zQ175 knock-in, and BACHD mouse models, to replicate a previously well-characterized age-dependent increase in brain aggregate signals, as well as a significant reduction of aggregate levels in the striatum following mHTT knockdown with a CAG-directed allele-specific zinc-finger repressor protein (ZFP). Lastly, size exclusion chromatography was used to separate and characterize HTT species from brain tissue lysates to demonstrate specificity of the assays for the fractions containing aggregated HTT. In summary, we demonstrate that the newly developed assays preferentially detect aggregated HTT with improved performance in comparison to previous assay technologies. These assays complement the existing MSD platform assays specific for soluble HTT monomers, allowing for a more comprehensive analysis of disease-relevant HTT species in preclinical models of HD.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Georgina F. Osborne
- Dept. Neurodegenerative Disease, Huntington’s Disease Centre and Dementia Research Institute, Institute of Neurology, University College London, London, United Kingdom
| | | | | | | | - Gillian P. Bates
- Dept. Neurodegenerative Disease, Huntington’s Disease Centre and Dementia Research Institute, Institute of Neurology, University College London, London, United Kingdom
| | - Jonathan Bard
- CHDI Management/CHDI Foundation, Los Angeles, CA, United States of America
| | | | - Douglas Macdonald
- CHDI Management/CHDI Foundation, Los Angeles, CA, United States of America
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Osei J, Kelly W, Toffolo K, Donahue K, Levy B, Bard J, Wang J, Levy E, Nowak N, Poulsen D. Thymosin beta 4 induces significant changes in the plasma miRNA profile following severe traumatic brain injury in the rat lateral fluid percussion injury model. Expert Opin Biol Ther 2019; 18:159-164. [PMID: 29873258 DOI: 10.1080/14712598.2018.1484102] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Thymosin beta 4 (Tβ4) has demonstrated neuroprotective potential in models of neurlogical injury. The neuroprotective potential of Tβ4 has been associated with increased miR-200a and miR-200b within the brain following stroke. Here we tested the hypothesis that Tβ4 treatment could also alter miRNA profiles within the plasma following severe traumatic brain injury (TBI). METHODS We used the rat lateral fluid percusion injury model of severe TBI to test this hypothesis. Highly sensitive and quantitative droplet digital polymerase chain reaction (ddPCR) was used to measure the plasma concentrations of miR-200 family members. In addition, we conducted RNAseq analysis of plasma miRNA to further identify changes associated with TBI and treatment with Tβ4. RESULTS ddPCR demonstrated that miR-200a-3p andmiR-200b-3p were both significantly increased in plasma following treatment with Tβ4 after severe TBI. RNAseq analysis suggested that miR-300-3p and miR-598-3p increased while miR-450-3p and miR-194-5p significantly decreased following TBI. In contrast, miR-194-5p significantly increased in Tβ4 treated rats following TBI. In addition, we identified nine plasma miRNAs whose expression significantly changed following treatment with Tβ4. CONCLUSIONS Tβ4 treatment significantly increased plasma levels of miR-200a-3p and miR-200b-3p, while RNAseq analysis identified miR-194-5p as a candidate miRNA that may be critical for neuroprotection.
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Affiliation(s)
- Jennifer Osei
- a Department of Neurosrgery, Jacobs School of Medicine and Biomedical Sceinces , Univeristy at Buffalo , Buffalo , NY , USA
| | - William Kelly
- a Department of Neurosrgery, Jacobs School of Medicine and Biomedical Sceinces , Univeristy at Buffalo , Buffalo , NY , USA
| | - Kathryn Toffolo
- a Department of Neurosrgery, Jacobs School of Medicine and Biomedical Sceinces , Univeristy at Buffalo , Buffalo , NY , USA
| | - Kaitlynn Donahue
- a Department of Neurosrgery, Jacobs School of Medicine and Biomedical Sceinces , Univeristy at Buffalo , Buffalo , NY , USA
| | - Bennet Levy
- a Department of Neurosrgery, Jacobs School of Medicine and Biomedical Sceinces , Univeristy at Buffalo , Buffalo , NY , USA
| | - Jonathan Bard
- b New York State Center for Bioinformatics and Life Sciences , University at Buffalo , Buffalo , NY , USA
| | - Jianxin Wang
- c Center for Computational Research , University at Buffalo , Buffalo , NY , USA
| | - Elad Levy
- a Department of Neurosrgery, Jacobs School of Medicine and Biomedical Sceinces , Univeristy at Buffalo , Buffalo , NY , USA
| | - Norma Nowak
- b New York State Center for Bioinformatics and Life Sciences , University at Buffalo , Buffalo , NY , USA.,d Department of Biochemistry, School of Medicine and Biomedical Sciences , Univeristy at Buffalo , Buffalo , NY , USA
| | - David Poulsen
- a Department of Neurosrgery, Jacobs School of Medicine and Biomedical Sceinces , Univeristy at Buffalo , Buffalo , NY , USA
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Neal CA, Brantley SR, Antolik L, Babb JL, Burgess M, Calles K, Cappos M, Chang JC, Conway S, Desmither L, Dotray P, Elias T, Fukunaga P, Fuke S, Johanson IA, Kamibayashi K, Kauahikaua J, Lee RL, Pekalib S, Miklius A, Million W, Moniz CJ, Nadeau PA, Okubo P, Parcheta C, Patrick MR, Shiro B, Swanson DA, Tollett W, Trusdell F, Younger EF, Zoeller MH, Montgomery-Brown EK, Anderson KR, Poland MP, Ball JL, Bard J, Coombs M, Dietterich HR, Kern C, Thelen WA, Cervelli PF, Orr T, Houghton BF, Gansecki C, Hazlett R, Lundgren P, Diefenbach AK, Lerner AH, Waite G, Kelly P, Clor L, Werner C, Mulliken K, Fisher G, Damby D. The 2018 rift eruption and summit collapse of Kīlauea Volcano. Science 2018; 363:367-374. [PMID: 30538164 DOI: 10.1126/science.aav7046] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 12/03/2018] [Indexed: 11/02/2022]
Abstract
In 2018, Kīlauea Volcano experienced its largest lower East Rift Zone (LERZ) eruption and caldera collapse in at least 200 years. After collapse of the Pu'u 'Ō'ō vent on 30 April, magma propagated downrift. Eruptive fissures opened in the LERZ on 3 May, eventually extending ~6.8 kilometers. A 4 May earthquake [moment magnitude (M w) 6.9] produced ~5 meters of fault slip. Lava erupted at rates exceeding 100 cubic meters per second, eventually covering 35.5 square kilometers. The summit magma system partially drained, producing minor explosions and near-daily collapses releasing energy equivalent to M w 4.7 to 5.4 earthquakes. Activity declined rapidly on 4 August. Summit collapse and lava flow volume estimates are roughly equivalent-about 0.8 cubic kilometers. Careful historical observation and monitoring of Kīlauea enabled successful forecasting of hazardous events.
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Affiliation(s)
- C A Neal
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA.
| | - S R Brantley
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - L Antolik
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - J L Babb
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - M Burgess
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - K Calles
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - M Cappos
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - J C Chang
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - S Conway
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - L Desmither
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - P Dotray
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - T Elias
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - P Fukunaga
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - S Fuke
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - I A Johanson
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - K Kamibayashi
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - J Kauahikaua
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - R L Lee
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - S Pekalib
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - A Miklius
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - W Million
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - C J Moniz
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - P A Nadeau
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - P Okubo
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - C Parcheta
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - M R Patrick
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - B Shiro
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - D A Swanson
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - W Tollett
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - F Trusdell
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - E F Younger
- U.S. Geological Survey, Hawaiian Volcano Observatory, 51 Crater Rim Dr., Hawai'i National Park, Hawaii, HI 96718, USA
| | - M H Zoeller
- Center for the Study of Active Volcanoes, University of Hawai'i at Hilo, 200 W. Kāwili St., Hilo, HI 96720, USA
| | - E K Montgomery-Brown
- U.S. Geological Survey, California Volcano Observatory, 345 Middlefield Rd., Menlo Park, CA 94025, USA.
| | - K R Anderson
- U.S. Geological Survey, California Volcano Observatory, 345 Middlefield Rd., Menlo Park, CA 94025, USA
| | - M P Poland
- U.S. Geological Survey, Yellowstone Volcano Observatory, 1300 SE Cardinal Ct., Suite 100, Vancouver, WA 98683-9589, USA
| | - J L Ball
- U.S. Geological Survey, California Volcano Observatory, 345 Middlefield Rd., Menlo Park, CA 94025, USA
| | - J Bard
- U.S. Geological Survey, Cascades Volcano Observatory, 1300 SE Cardinal Ct., Suite 100, Vancouver, WA 98683-9589, USA
| | - M Coombs
- U.S. Geological Survey, Alaska Volcano Observatory, 4230 University Dr., Anchorage, AK 99508, USA
| | - H R Dietterich
- U.S. Geological Survey, Alaska Volcano Observatory, 4230 University Dr., Anchorage, AK 99508, USA
| | - C Kern
- U.S. Geological Survey, Cascades Volcano Observatory, 1300 SE Cardinal Ct., Suite 100, Vancouver, WA 98683-9589, USA
| | - W A Thelen
- U.S. Geological Survey, Cascades Volcano Observatory, 1300 SE Cardinal Ct., Suite 100, Vancouver, WA 98683-9589, USA
| | - P F Cervelli
- U.S. Geological Survey, Alaska Volcano Observatory, 4230 University Dr., Anchorage, AK 99508, USA
| | - T Orr
- U.S. Geological Survey, Alaska Volcano Observatory, 4230 University Dr., Anchorage, AK 99508, USA
| | - B F Houghton
- Department of Earth Sciences, University of Hawai'i at Manoa, 1680 East-West Rd., Honolulu, HI 96822, USA
| | - C Gansecki
- Geology Department, University of Hawai'i at Hilo, 200 W. Kāwili St., Hilo, HI 96720, USA
| | - R Hazlett
- Geology Department, University of Hawai'i at Hilo, 200 W. Kāwili St., Hilo, HI 96720, USA
| | - P Lundgren
- Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109, USA
| | - A K Diefenbach
- U.S. Geological Survey, Cascades Volcano Observatory, 1300 SE Cardinal Ct., Suite 100, Vancouver, WA 98683-9589, USA
| | - A H Lerner
- Department of Earth Sciences, University of Oregon, 100 Cascades Hall, Eugene, OR 97403, USA
| | - G Waite
- Department of Geological and Mining Engineering and Sciences, Michigan Technological University, 630 Dow Environmental Sciences, 1400 Townsend Dr., Houghton, MI 49931, USA
| | - P Kelly
- U.S. Geological Survey, Cascades Volcano Observatory, 1300 SE Cardinal Ct., Suite 100, Vancouver, WA 98683-9589, USA
| | - L Clor
- U.S. Geological Survey, Cascades Volcano Observatory, 1300 SE Cardinal Ct., Suite 100, Vancouver, WA 98683-9589, USA
| | - C Werner
- U.S. Geological Survey Contractor, 392 Tukapa St., RD1, New Plymouth 4371, New Zealand
| | - K Mulliken
- State of Alaska Division of Geological and Geophysical Surveys, Alaska Volcano Observatory, 3354 College Rd., Fairbanks, AK 99709, USA
| | - G Fisher
- U.S. Geological Survey, National Civil Applications Center, 12201 Sunrise Valley Dr., MS-562, Reston, VA 20192, USA
| | - D Damby
- U.S. Geological Survey, California Volcano Observatory, 345 Middlefield Rd., Menlo Park, CA 94025, USA
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Isackson PJ, Wang J, Zia M, Spurgeon P, Levesque A, Bard J, James S, Nowak N, Lee TK, Vladutiu GD. RYR1 and CACNA1S genetic variants identified with statin-associated muscle symptoms. Pharmacogenomics 2018; 19:1235-1249. [PMID: 30325262 DOI: 10.2217/pgs-2018-0106] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
AIM To examine the genetic differences between subjects with statin-associated muscle symptoms and statin-tolerant controls. MATERIALS & METHODS Next-generation sequencing was used to characterize the exomes of 76 subjects with severe statin-associated muscle symptoms and 50 statin-tolerant controls. RESULTS 12 probably pathogenic variants were found within the RYR1 and CACNA1S genes in 16% of cases with severe statin-induced myopathy representing a fourfold increase over variants found in statin-tolerant controls. Subjects with probably pathogenic RYR1 or CACNA1S variants had plasma CK 5X to more than 400X the upper limit of normal in addition to having muscle symptoms. CONCLUSIONS Genetic variants within the RYR1 and CACNA1S genes are likely to be a major contributor to the susceptibility to statin-associated muscle symptoms.
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Affiliation(s)
- Paul J Isackson
- Department of Pediatrics, State University of New York at Buffalo, NY 14203, USA
| | - Jianxin Wang
- Center for Computational Research, State University of New York at Buffalo, NY 14203, USA
| | - Mohammad Zia
- Center for Computational Research, State University of New York at Buffalo, NY 14203, USA
| | - Paul Spurgeon
- Center for Computational Research, State University of New York at Buffalo, NY 14203, USA
| | - Adrian Levesque
- Center for Computational Research, State University of New York at Buffalo, NY 14203, USA
| | - Jonathan Bard
- Center for Computational Research, State University of New York at Buffalo, NY 14203, USA
| | - Smitha James
- New York State Center of Excellence in Bioinformatics & Life Sciences, State University of New York at Buffalo, Buffalo, NY 14203, USA
| | - Norma Nowak
- New York State Center of Excellence in Bioinformatics & Life Sciences, State University of New York at Buffalo, Buffalo, NY 14203, USA.,Department of Biochemistry, Jacobs School of Medicine & Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14203, USA
| | - Tae Keun Lee
- Department of Pediatrics, State University of New York at Buffalo, NY 14203, USA
| | - Georgirene D Vladutiu
- Department of Pediatrics, State University of New York at Buffalo, NY 14203, USA.,Departments of Neurology & Pathology & Anatomical Sciences, University at Buffalo, Buffalo, NY 14214, USA
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Toffolo K, Osei J, Kelly W, Poulsen A, Donahue K, Wang J, Hunter M, Bard J, Wang J, Poulsen D. Circulating microRNAs as biomarkers in traumatic brain injury. Neuropharmacology 2018; 145:199-208. [PMID: 30195586 DOI: 10.1016/j.neuropharm.2018.08.028] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2018] [Revised: 08/13/2018] [Accepted: 08/23/2018] [Indexed: 12/22/2022]
Abstract
Preclinical and clinical studies can be greatly improved through the inclusion of diagnostic, prognostic, predictive or pharmacodynamics biomarkers. Circulating microRNAs (miRNAs) represent highly stable targets that respond to physiological and pathological changes. MicroRNA biomarkers can be detected by highly sensitive and absolutely quantitative methods currently available in most clinical laboratories. Here we review preclinical and clinical studies that have examined circulating miRNAs as potential diagnostic and prognostic biomarkers. We also present data that suggests pharmacodynamics biomarkers can be identified that are associated with neuroprotection in general. Although circulating miRNA can serve as useful tools, it is clear their expression profiles are highly sensitive to changing conditions and are influenced by a broad range of parameters including age, sex, body mass index, injury severity, time of collection, as well as methods of processing, purification and detection. Thus, considerable effort will be required to standardize methods and experimental design conditions before circulating miRNAs can prove useful in a heterologous injury like TBI. This article is part of the Special Issue entitled "Novel Treatments for Traumatic Brain Injury".
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Affiliation(s)
- Kathryn Toffolo
- Neurosurgery Department, Jacobs School of Medicine and Biomedical Sciences, Clinical and Translational Research Center, University at Buffalo, Buffalo, NY, 14203, USA
| | - Jennifer Osei
- Neurosurgery Department, Jacobs School of Medicine and Biomedical Sciences, Clinical and Translational Research Center, University at Buffalo, Buffalo, NY, 14203, USA
| | - William Kelly
- Neurosurgery Department, Jacobs School of Medicine and Biomedical Sciences, Clinical and Translational Research Center, University at Buffalo, Buffalo, NY, 14203, USA
| | - Austin Poulsen
- Neurosurgery Department, Jacobs School of Medicine and Biomedical Sciences, Clinical and Translational Research Center, University at Buffalo, Buffalo, NY, 14203, USA
| | - Kaitlynn Donahue
- Neurosurgery Department, Jacobs School of Medicine and Biomedical Sciences, Clinical and Translational Research Center, University at Buffalo, Buffalo, NY, 14203, USA
| | - Jiefei Wang
- Department of Biostatistics, University at Buffalo, Buffalo, NY, USA
| | - Madison Hunter
- Neurosurgery Department, Jacobs School of Medicine and Biomedical Sciences, Clinical and Translational Research Center, University at Buffalo, Buffalo, NY, 14203, USA
| | - Jonathan Bard
- New York State Center for Bioinformatics and Life Sciences, Buffalo, NY, USA
| | - Jianxin Wang
- New York State Center for Bioinformatics and Life Sciences, Buffalo, NY, USA
| | - David Poulsen
- Neurosurgery Department, Jacobs School of Medicine and Biomedical Sciences, Clinical and Translational Research Center, University at Buffalo, Buffalo, NY, 14203, USA.
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Häggkvist J, Tóth M, Tari L, Varnäs K, Svedberg M, Forsberg A, Nag S, Dominguez C, Munoz-Sanjuan I, Bard J, Wityak J, Varrone A, Halldin C, Mrzljak L. Longitudinal Small-Animal PET Imaging of the zQ175 Mouse Model of Huntington Disease Shows In Vivo Changes of Molecular Targets in the Striatum and Cerebral Cortex. J Nucl Med 2016; 58:617-622. [DOI: 10.2967/jnumed.116.180497] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Accepted: 10/21/2016] [Indexed: 02/02/2023] Open
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Hefti E, Bard J, Blanco JG. Analysis of Heteroplasmic Variants in the Cardiac Mitochondrial Genome of Individuals with Down Syndrome. Hum Mutat 2016; 38:48-54. [PMID: 27594409 DOI: 10.1002/humu.23071] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2016] [Accepted: 08/29/2016] [Indexed: 11/08/2022]
Abstract
Individuals with Down syndrome (DS, trisomy 21) exhibit a pro-oxidative cellular environment as well as mitochondrial dysfunction. Increased oxidative stress may damage the mitochondrial DNA (mtDNA). The coexistence of mtDNA variants in a cell or tissue (i.e., heteroplasmy) may contribute to mitochondrial dysfunction. Given the evidence on mitochondrial dysfunction and the relatively high incidence of multiorganic disorders associated with DS, we hypothesized that cardiac tissue from subjects with DS may exhibit higher frequencies of mtDNA variants in comparison to cardiac tissue from donors without DS. This study documents the analysis of mtDNA variants in heart tissue samples from donors with (n = 12) and without DS (n = 33) using massively parallel sequencing. Contrary to the original hypothesis, the study's findings suggest that the cardiac mitochondrial genomes from individuals with and without DS exhibit many similarities in terms of (1) total number of mtDNA variants per sample, (2) the frequency of mtDNA variants, (3) the type of mtDNA variants, and (4) the patterns of distribution of mtDNA variants. In both groups of samples, the mtDNA control region showed significantly more heteroplasmic variants in comparison to the number of variants in protein- and RNA-coding genes (P < 1.00×10-4 , ANOVA).
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Affiliation(s)
- Erik Hefti
- Department of Pharmaceutical Sciences, The School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, Buffalo, New York
| | - Jonathan Bard
- University at Buffalo Genomics and Bioinformatics Core, New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, New York
| | - Javier G Blanco
- Department of Pharmaceutical Sciences, The School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, Buffalo, New York
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Yang S, Cai Q, Bard J, Jamison J, Wang J, Yang W, Hu BH. Variation analysis of transcriptome changes reveals cochlear genes and their associated functions in cochlear susceptibility to acoustic overstimulation. Hear Res 2015; 330:78-89. [PMID: 26024952 DOI: 10.1016/j.heares.2015.04.010] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2015] [Revised: 04/04/2015] [Accepted: 04/10/2015] [Indexed: 10/23/2022]
Abstract
Individual variation in the susceptibility of the auditory system to acoustic overstimulation has been well-documented at both the functional and structural levels. However, the molecular mechanism responsible for this variation is unclear. The current investigation was designed to examine the variation patterns of cochlear gene expression using RNA-seq data and to identify the genes with expression variation that increased following acoustic trauma. This study revealed that the constitutive expressions of cochlear genes displayed diverse levels of gene-specific variation. These variation patterns were altered by acoustic trauma; approximately one-third of the examined genes displayed marked increases in their expression variation. Bioinformatics analyses revealed that the genes that exhibited increased variation were functionally related to cell death, biomolecule metabolism, and membrane function. In contrast, the stable genes were primarily related to basic cellular processes, including protein and macromolecular syntheses and transport. There was no functional overlap between the stable and variable genes. Importantly, we demonstrated that glutamate metabolism is related to the variation in the functional response of the cochlea to acoustic overstimulation. Taken together, the results indicate that our analyses of the individual variations in transcriptome changes of cochlear genes provide important information for the identification of genes that potentially contribute to the generation of individual variation in cochlear responses to acoustic overstimulation.
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Affiliation(s)
- Shuzhi Yang
- Center for Hearing and Deafness, University at Buffalo, NY, 14214, USA.
| | - Qunfeng Cai
- Center for Hearing and Deafness, University at Buffalo, NY, 14214, USA.
| | - Jonathan Bard
- Next-Generation Sequencing and Expression Analysis Core, New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, NY, 14263, USA.
| | - Jennifer Jamison
- Next-Generation Sequencing and Expression Analysis Core, New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, NY, 14263, USA.
| | - Jianmin Wang
- Department of Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Elm & Carlton Streets, Buffalo, NY, 14263, USA.
| | - Weiping Yang
- Center for Hearing and Deafness, University at Buffalo, NY, 14214, USA.
| | - Bo Hua Hu
- Center for Hearing and Deafness, University at Buffalo, NY, 14214, USA.
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Terranova C, Narla ST, Lee YW, Bard J, Parikh A, Stachowiak EK, Tzanakakis ES, Buck MJ, Birkaya B, Stachowiak MK. Global Developmental Gene Programing Involves a Nuclear Form of Fibroblast Growth Factor Receptor-1 (FGFR1). PLoS One 2015; 10:e0123380. [PMID: 25923916 PMCID: PMC4414453 DOI: 10.1371/journal.pone.0123380] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2014] [Accepted: 02/17/2015] [Indexed: 12/11/2022] Open
Abstract
Genetic studies have placed the Fgfr1 gene at the top of major ontogenic pathways that enable gastrulation, tissue development and organogenesis. Using genome-wide sequencing and loss and gain of function experiments the present investigation reveals a mechanism that underlies global and direct gene regulation by the nuclear form of FGFR1, ensuring that pluripotent Embryonic Stem Cells differentiate into Neuronal Cells in response to Retinoic Acid. Nuclear FGFR1, both alone and with its partner nuclear receptors RXR and Nur77, targets thousands of active genes and controls the expression of pluripotency, homeobox, neuronal and mesodermal genes. Nuclear FGFR1 targets genes in developmental pathways represented by Wnt/β-catenin, CREB, BMP, the cell cycle and cancer-related TP53 pathway, neuroectodermal and mesodermal programing networks, axonal growth and synaptic plasticity pathways. Nuclear FGFR1 targets the consensus sequences of transcription factors known to engage CREB-binding protein, a common coregulator of transcription and established binding partner of nuclear FGFR1. This investigation reveals the role of nuclear FGFR1 as a global genomic programmer of cell, neural and muscle development.
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Affiliation(s)
- Christopher Terranova
- Department of Pathology and Anatomical Sciences, Western New York Stem Cell Culture and Analysis Center, State University of New York at Buffalo, Buffalo, New York, United States of America
| | - Sridhar T. Narla
- Department of Pathology and Anatomical Sciences, Western New York Stem Cell Culture and Analysis Center, State University of New York at Buffalo, Buffalo, New York, United States of America
| | - Yu-Wei Lee
- Department of Pathology and Anatomical Sciences, Western New York Stem Cell Culture and Analysis Center, State University of New York at Buffalo, Buffalo, New York, United States of America
| | - Jonathan Bard
- Next-Generation Sequencing and Expression Analysis Core, State University of New York at Buffalo, Buffalo, New York, United States of America
| | - Abhirath Parikh
- Department of Chemical and Biological Engineering, Western New York Stem Cell Culture and Analysis Center, State University of New York at Buffalo, Buffalo, New York, United States of America
| | - Ewa K. Stachowiak
- Department of Pathology and Anatomical Sciences, Western New York Stem Cell Culture and Analysis Center, State University of New York at Buffalo, Buffalo, New York, United States of America
| | - Emmanuel S. Tzanakakis
- Department of Chemical and Biological Engineering, Western New York Stem Cell Culture and Analysis Center, State University of New York at Buffalo, Buffalo, New York, United States of America
| | - Michael J. Buck
- Department of Biochemistry, Genomics and Bioinformatics Core, Western New York Stem Cell Culture and Analysis Center, State University of New York at Buffalo, Buffalo, New York, United States of America
| | - Barbara Birkaya
- Department of Pathology and Anatomical Sciences, Western New York Stem Cell Culture and Analysis Center, State University of New York at Buffalo, Buffalo, New York, United States of America
| | - Michal K. Stachowiak
- Department of Pathology and Anatomical Sciences, Western New York Stem Cell Culture and Analysis Center, State University of New York at Buffalo, Buffalo, New York, United States of America
- * E-mail:
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Tsompana M, Valiyaparambil S, Bard J, Marzullo B, Nowak N, Buck MJ. An automated method for efficient, accurate and reproducible construction of RNA-seq libraries. BMC Res Notes 2015; 8:124. [PMID: 25879881 PMCID: PMC4391147 DOI: 10.1186/s13104-015-1089-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2014] [Accepted: 03/24/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Integration of RNA-seq expression data with knowledge on chromatin accessibility, histone modifications, DNA methylation, and transcription factor binding has been instrumental for the unveiling of cell-specific local and long-range regulatory patterns, facilitating further investigation on the underlying rules of transcription regulation at an individual and allele-specific level. However, full genome transcriptome characterization has been partially limited by the complexity and increased time-requirements of available RNA-seq library construction protocols. FINDINGS Use of the SX-8G IP-Star® Compact System significantly reduces the hands-on time for RNA-seq library synthesis, adenylation, and adaptor ligation providing with high quality RNA-seq libraries tailored for Illumina high-throughput next-generation sequencing. Generated data exhibits high technical reproducibility compared to data from RNA-seq libraries synthesized manually for the same samples. Obtained results are consistent regardless the researcher, day of the experiment, and experimental run. CONCLUSIONS Overall, the SX-8G IP-Star® Compact System proves an efficient, fast and reliable tool for the construction of next-generation RNA-seq libraries especially for trancriptome-based annotation of larger genomes.
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Affiliation(s)
- Maria Tsompana
- Department of Biochemistry and Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, 701 Ellicott St., 14203, Buffalo, NY, USA.
| | - Sujith Valiyaparambil
- Department of Biochemistry and Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, 701 Ellicott St., 14203, Buffalo, NY, USA.
| | - Jonathan Bard
- Department of Biochemistry and Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, 701 Ellicott St., 14203, Buffalo, NY, USA.
| | - Brandon Marzullo
- Department of Biochemistry and Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, 701 Ellicott St., 14203, Buffalo, NY, USA.
| | - Norma Nowak
- Department of Biochemistry and Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, 701 Ellicott St., 14203, Buffalo, NY, USA.
| | - Michael Joseph Buck
- Department of Biochemistry and Center of Excellence in Bioinformatics and Life Sciences, State University of New York at Buffalo, 701 Ellicott St., 14203, Buffalo, NY, USA.
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Wityak J, McGee KF, Conlon MP, Song RH, Duffy BC, Clayton B, Lynch M, Wang G, Freeman E, Haber J, Kitchen DB, Manning DD, Ismail J, Khmelnitsky Y, Michels P, Webster J, Irigoyen M, Luche M, Hultman M, Bai M, Kuok ID, Newell R, Lamers M, Leonard P, Yates D, Matthews K, Ongeri L, Clifton S, Mead T, Deupree S, Wheelan P, Lyons K, Wilson C, Kiselyov A, Toledo-Sherman L, Beconi M, Muñoz-Sanjuan I, Bard J, Dominguez C. Lead optimization toward proof-of-concept tools for Huntington's disease within a 4-(1H-pyrazol-4-yl)pyrimidine class of pan-JNK inhibitors. J Med Chem 2015; 58:2967-87. [PMID: 25760409 DOI: 10.1021/jm5013598] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Through medicinal chemistry lead optimization studies focused on calculated properties and guided by X-ray crystallography and computational modeling, potent pan-JNK inhibitors were identified that showed submicromolar activity in a cellular assay. Using in vitro ADME profiling data, 9t was identified as possessing favorable permeability and a low potential for efflux, but it was rapidly cleared in liver microsomal incubations. In a mouse pharmacokinetics study, compound 9t was brain-penetrant after oral dosing, but exposure was limited by high plasma clearance. Brain exposure at a level expected to support modulation of a pharmacodynamic marker in mouse was achieved when the compound was coadministered with the pan-cytochrome P450 inhibitor 1-aminobenzotriazole.
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Affiliation(s)
- John Wityak
- †CHDI Foundation, Inc., 6080 Center Drive, Suite 100, Los Angeles, California 90045, United States
| | - Kevin F McGee
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Michael P Conlon
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Ren Hua Song
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Bryan C Duffy
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Brent Clayton
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Michael Lynch
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Gwen Wang
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Emily Freeman
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - James Haber
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Douglas B Kitchen
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - David D Manning
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Jiffry Ismail
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Yuri Khmelnitsky
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Peter Michels
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Jeff Webster
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Macarena Irigoyen
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Michele Luche
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Monica Hultman
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Mei Bai
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - IokTeng D Kuok
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Ryan Newell
- ‡Albany Molecular Research Inc. (AMRI), 26 Corporate Circle, Albany, New York 12212-5098, United States
| | - Marieke Lamers
- §BioFocus Discovery Services, Charles River Laboratories, Chesterford Research Park, Little Chesterford, CB10 1XL, United Kingdom
| | - Philip Leonard
- §BioFocus Discovery Services, Charles River Laboratories, Chesterford Research Park, Little Chesterford, CB10 1XL, United Kingdom
| | - Dawn Yates
- §BioFocus Discovery Services, Charles River Laboratories, Chesterford Research Park, Little Chesterford, CB10 1XL, United Kingdom
| | - Kim Matthews
- §BioFocus Discovery Services, Charles River Laboratories, Chesterford Research Park, Little Chesterford, CB10 1XL, United Kingdom
| | - Lynette Ongeri
- §BioFocus Discovery Services, Charles River Laboratories, Chesterford Research Park, Little Chesterford, CB10 1XL, United Kingdom
| | - Steve Clifton
- §BioFocus Discovery Services, Charles River Laboratories, Chesterford Research Park, Little Chesterford, CB10 1XL, United Kingdom
| | - Tania Mead
- §BioFocus Discovery Services, Charles River Laboratories, Chesterford Research Park, Little Chesterford, CB10 1XL, United Kingdom
| | - Susan Deupree
- ∥Tandem Laboratories, 2202 Ellis Road, Durham, North Carolina 27703, United States
| | - Pat Wheelan
- ∥Tandem Laboratories, 2202 Ellis Road, Durham, North Carolina 27703, United States
| | - Kathy Lyons
- ⊥Pharmacokinetics Consultant to CHDI, P.O. Box 64, Holland, New York 14080, United States
| | - Claire Wilson
- #Evotec, 114 Milton Park, Abingdon, OX14 4SA, United Kingdom
| | - Alex Kiselyov
- †CHDI Foundation, Inc., 6080 Center Drive, Suite 100, Los Angeles, California 90045, United States
| | - Leticia Toledo-Sherman
- †CHDI Foundation, Inc., 6080 Center Drive, Suite 100, Los Angeles, California 90045, United States
| | - Maria Beconi
- †CHDI Foundation, Inc., 6080 Center Drive, Suite 100, Los Angeles, California 90045, United States
| | - Ignacio Muñoz-Sanjuan
- †CHDI Foundation, Inc., 6080 Center Drive, Suite 100, Los Angeles, California 90045, United States
| | - Jonathan Bard
- †CHDI Foundation, Inc., 6080 Center Drive, Suite 100, Los Angeles, California 90045, United States
| | - Celia Dominguez
- †CHDI Foundation, Inc., 6080 Center Drive, Suite 100, Los Angeles, California 90045, United States
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Adelaiye R, Ciamporcero E, Miles KM, Sotomayor P, Bard J, Tsompana M, Conroy D, Shen L, Ramakrishnan S, Ku SY, Orillion A, Prey J, Fetterly G, Buck M, Chintala S, Bjarnason GA, Pili R. Sunitinib dose escalation overcomes transient resistance in clear cell renal cell carcinoma and is associated with epigenetic modifications. Mol Cancer Ther 2014; 14:513-22. [PMID: 25519701 DOI: 10.1158/1535-7163.mct-14-0208] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Sunitinib is considered a first-line therapeutic option for patients with advanced clear cell renal cell carcinoma (ccRCC). Despite sunitinib's clinical efficacy, patients eventually develop drug resistance and disease progression. Herein, we tested the hypothesis whether initial sunitinib resistance may be transient and could be overcome by dose increase. In selected patients initially treated with 50 mg sunitinib and presenting with minimal toxicities, sunitinib dose was escalated to 62.5 mg and/or 75 mg at the time of tumor progression. Mice bearing two different patient-derived ccRCC xenografts (PDX) were treated 5 days per week with a dose-escalation schema (40-60-80 mg/kg sunitinib). Tumor tissues were collected before dose increments for immunohistochemistry analyses and drug levels. Selected intrapatient sunitinib dose escalation was safe and several patients had added progression-free survival. In parallel, our preclinical results showed that PDXs, although initially responsive to sunitinib at 40 mg/kg, eventually developed resistance. When the dose was incrementally increased, again we observed tumor response to sunitinib. A resistant phenotype was associated with transient increase of tumor vasculature despite intratumor sunitinib accumulation at higher dose. In addition, we observed associated changes in the expression of the methyltransferase EZH2 and histone marks at the time of resistance. Furthermore, specific EZH2 inhibition resulted in increased in vitro antitumor effect of sunitinib. Overall, our results suggest that initial sunitinib-induced resistance may be overcome, in part, by increasing the dose, and highlight the potential role of epigenetic changes associated with sunitinib resistance that can represent new targets for therapeutic intervention.
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Affiliation(s)
- Remi Adelaiye
- Genitourinary Program, Roswell Park Cancer Institute, Buffalo, New York. Department of Cancer Pathology and Prevention, Roswell Park Cancer Institute Division, University at Buffalo, Buffalo, New York
| | - Eric Ciamporcero
- Genitourinary Program, Roswell Park Cancer Institute, Buffalo, New York. Department of Medicine and Experimental Oncology, University of Turin, Turin, Italy
| | | | - Paula Sotomayor
- Genitourinary Program, Roswell Park Cancer Institute, Buffalo, New York. Department of Molecular and Cellular Biology, Roswell Park Cancer Institute, Buffalo, New York
| | - Jonathan Bard
- Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, New York
| | - Maria Tsompana
- Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, New York
| | - Dylan Conroy
- Genitourinary Program, Roswell Park Cancer Institute, Buffalo, New York
| | - Li Shen
- Genitourinary Program, Roswell Park Cancer Institute, Buffalo, New York
| | - Swathi Ramakrishnan
- Genitourinary Program, Roswell Park Cancer Institute, Buffalo, New York. Department of Cancer Pathology and Prevention, Roswell Park Cancer Institute Division, University at Buffalo, Buffalo, New York
| | - Sheng-Yu Ku
- Genitourinary Program, Roswell Park Cancer Institute, Buffalo, New York. Department of Cancer Pathology and Prevention, Roswell Park Cancer Institute Division, University at Buffalo, Buffalo, New York
| | - Ashley Orillion
- Department of Molecular and Cellular Biology, Roswell Park Cancer Institute, Buffalo, New York
| | - Joshua Prey
- Pharmacokinetics and Pharmacodynamics Core Facility, Roswell Park Cancer Institute, Buffalo, New York
| | - Gerald Fetterly
- Pharmacokinetics and Pharmacodynamics Core Facility, Roswell Park Cancer Institute, Buffalo, New York
| | - Michael Buck
- Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, New York
| | - Sreenivasulu Chintala
- Genitourinary Program, Roswell Park Cancer Institute, Buffalo, New York. Department of Pharmacology and Therapeutics, Roswell Park Cancer Institute, Buffalo, New York
| | - Georg A Bjarnason
- Sunnybrook Odette Cancer Center, University of Toronto, Toronto, Ontario, Canada.
| | - Roberto Pili
- Genitourinary Program, Roswell Park Cancer Institute, Buffalo, New York. Department of Cancer Pathology and Prevention, Roswell Park Cancer Institute Division, University at Buffalo, Buffalo, New York.
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Cai Q, Vethanayagam RR, Yang S, Bard J, Jamison J, Cartwright D, Dong Y, Hu BH. Molecular profile of cochlear immunity in the resident cells of the organ of Corti. J Neuroinflammation 2014; 11:173. [PMID: 25311735 PMCID: PMC4198756 DOI: 10.1186/s12974-014-0173-8] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Accepted: 09/25/2014] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND The cochlea is the sensory organ of hearing. In the cochlea, the organ of Corti houses sensory cells that are susceptible to pathological insults. While the organ of Corti lacks immune cells, it does have the capacity for immune activity. We hypothesized that resident cells in the organ of Corti were responsible for the stress-induced immune response of the organ of Corti. This study profiled the molecular composition of the immune system in the organ of Corti and examined the immune response of non-immune epithelial cells to acoustic overstimulation. METHODS Using high-throughput RNA-sequencing and qRT-PCR arrays, we identified immune- and inflammation-related genes in both the cochlear sensory epithelium and the organ of Corti. Using bioinformatics analyses, we cataloged the immune genes expressed. We then examined the response of these genes to acoustic overstimulation and determined how changes in immune gene expression were related to sensory cell damage. RESULTS The RNA-sequencing analysis reveals robust expression of immune-related genes in the cochlear sensory epithelium. The qRT-PCR array analysis confirms that many of these genes are constitutively expressed in the resident cells of the organ of Corti. Bioinformatics analyses reveal that the genes expressed are linked to the Toll-like receptor signaling pathway. We demonstrate that expression of Toll-like receptor signaling genes is predominantly from the supporting cells in the organ of Corti cells. Importantly, our data demonstrate that these Toll-like receptor pathway genes are able to respond to acoustic trauma and that their expression changes are associated with sensory cell damage. CONCLUSION The cochlear resident cells in the organ of Corti have immune capacity and participate in the cochlear immune response to acoustic overstimulation.
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Affiliation(s)
| | | | | | | | | | | | | | - Bo Hua Hu
- Center for Hearing and Deafness, State University of New York at Buffalo, 137 Cary Hall, 3435 Main Street, Buffalo 14214, NY, USA.
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