1
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Reddy J, Fonseca MAS, Corona RI, Nameki R, Segato Dezem F, Klein IA, Chang H, Chaves-Moreira D, Afeyan LK, Malta TM, Lin X, Abbasi F, Font-Tello A, Sabedot T, Cejas P, Rodríguez-Malavé N, Seo JH, Lin DC, Matulonis U, Karlan BY, Gayther SA, Pasaniuc B, Gusev A, Noushmehr H, Long H, Freedman ML, Drapkin R, Young RA, Abraham BJ, Lawrenson K. Predicting master transcription factors from pan-cancer expression data. SCIENCE ADVANCES 2021; 7:eabf6123. [PMID: 34818047 PMCID: PMC8612691 DOI: 10.1126/sciadv.abf6123] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Critical developmental “master transcription factors” (MTFs) can be subverted during tumorigenesis to control oncogenic transcriptional programs. Current approaches to identifying MTFs rely on ChIP-seq data, which is unavailable for many cancers. We developed the CaCTS (Cancer Core Transcription factor Specificity) algorithm to prioritize candidate MTFs using pan-cancer RNA sequencing data. CaCTS identified candidate MTFs across 34 tumor types and 140 subtypes including predictions for cancer types/subtypes for which MTFs are unknown, including e.g. PAX8, SOX17, and MECOM as candidates in ovarian cancer (OvCa). In OvCa cells, consistent with known MTF properties, these factors are required for viability, lie proximal to superenhancers, co-occupy regulatory elements globally, co-bind loci encoding OvCa biomarkers, and are sensitive to pharmacologic inhibition of transcription. Our predictions of MTFs, especially for tumor types with limited understanding of transcriptional drivers, pave the way to therapeutic targeting of MTFs in a broad spectrum of cancers.
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Affiliation(s)
- Jessica Reddy
- Women’s Cancer Research Program at the Samuel
Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles,
CA, USA
- Division of Gynecologic Oncology, Department of
Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA,
USA
| | - Marcos A. S. Fonseca
- Women’s Cancer Research Program at the Samuel
Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles,
CA, USA
- Division of Gynecologic Oncology, Department of
Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA,
USA
| | - Rosario I. Corona
- Women’s Cancer Research Program at the Samuel
Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles,
CA, USA
- Division of Gynecologic Oncology, Department of
Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA,
USA
- Center for Bioinformatics and Functional Genomics,
Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Robbin Nameki
- Women’s Cancer Research Program at the Samuel
Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles,
CA, USA
- Division of Gynecologic Oncology, Department of
Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA,
USA
| | - Felipe Segato Dezem
- Women’s Cancer Research Program at the Samuel
Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles,
CA, USA
- Division of Gynecologic Oncology, Department of
Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA,
USA
- Center for Bioinformatics and Functional Genomics,
Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Isaac A. Klein
- Whitehead Institute for Biomedical Research,
Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer
Institute, Boston, MA, USA
| | - Heidi Chang
- Women’s Cancer Research Program at the Samuel
Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles,
CA, USA
- Division of Gynecologic Oncology, Department of
Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA,
USA
| | | | - Lena K. Afeyan
- Whitehead Institute for Biomedical Research,
Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of
Technology, Cambridge, MA, USA
| | | | - Xianzhi Lin
- Women’s Cancer Research Program at the Samuel
Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles,
CA, USA
- Division of Gynecologic Oncology, Department of
Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA,
USA
| | - Forough Abbasi
- Women’s Cancer Research Program at the Samuel
Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles,
CA, USA
- Division of Gynecologic Oncology, Department of
Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA,
USA
- Center for Bioinformatics and Functional Genomics,
Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Alba Font-Tello
- Center for Functional Cancer Epigenetics, Dana-Farber
Cancer Institute, Boston, MA, USA
| | | | - Paloma Cejas
- Center for Functional Cancer Epigenetics, Dana-Farber
Cancer Institute, Boston, MA, USA
| | - Norma Rodríguez-Malavé
- Center for Bioinformatics and Functional Genomics,
Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ji-Heui Seo
- Department of Medical Oncology, Dana-Farber Cancer
Institute, Boston, MA, USA
- Center for Functional Cancer Epigenetics, Dana-Farber
Cancer Institute, Boston, MA, USA
| | - De-Chen Lin
- Department of Medicine, Cedars-Sinai Medical
Center, Los Angeles, CA, USA
| | - Ursula Matulonis
- Division of Gynecologic Oncology, Dana Farber
Cancer Institute, Boston, MA, USA
| | - Beth Y. Karlan
- Women’s Cancer Research Program at the Samuel
Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles,
CA, USA
- Division of Gynecologic Oncology, Department of
Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA,
USA
- Cancer Population Genetics, Jonsson Comprehensive
Cancer Center, David Geffen School of Medicine, University of California, Los
Angeles, Los Angeles, CA, USA
| | - Simon A. Gayther
- Center for Bioinformatics and Functional Genomics,
Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Bogdan Pasaniuc
- Bioinformatics Interdepartmental Program,
University of California, Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, David Geffen School
of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Pathology and Laboratory Medicine,
David Geffen School of Medicine, University of California, Los Angeles, Los
Angeles, CA, USA
- Department of Computational Medicine, David Geffen
School of Medicine, University of California, Los Angeles, Los Angeles, CA,
USA
| | - Alexander Gusev
- Center for Functional Cancer Epigenetics, Dana-Farber
Cancer Institute, Boston, MA, USA
- McGraw/Patterson Center for Population Sciences,
Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Henry Long
- Center for Functional Cancer Epigenetics, Dana-Farber
Cancer Institute, Boston, MA, USA
| | - Matthew L. Freedman
- Department of Medical Oncology, Dana-Farber Cancer
Institute, Boston, MA, USA
- Center for Functional Cancer Epigenetics, Dana-Farber
Cancer Institute, Boston, MA, USA
- The Eli and Edythe L. Broad Institute, Cambridge,
MA, USA
| | - Ronny Drapkin
- Penn Ovarian Cancer Research Center, University of
Pennsylvania, Philadelphia, PA, USA
| | - Richard A. Young
- Whitehead Institute for Biomedical Research,
Cambridge, MA, USA
- Department of Biology, M.I.T., Cambridge, MA,
USA
| | - Brian J. Abraham
- Department of Computational Biology, St. Jude
Children’s Research Hospital, Memphis, TN, USA
- Corresponding author.
(B.J.A.);
(K.L.)
| | - Kate Lawrenson
- Women’s Cancer Research Program at the Samuel
Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles,
CA, USA
- Division of Gynecologic Oncology, Department of
Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA,
USA
- Center for Bioinformatics and Functional Genomics,
Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Corresponding author.
(B.J.A.);
(K.L.)
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2
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Lee K, Gusella GL, He JC. Epithelial proliferation and cell cycle dysregulation in kidney injury and disease. Kidney Int 2021; 100:67-78. [PMID: 33831367 PMCID: PMC8855879 DOI: 10.1016/j.kint.2021.03.024] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 03/05/2021] [Accepted: 03/11/2021] [Indexed: 02/08/2023]
Abstract
Various cellular insults and injury to renal epithelial cells stimulate repair mechanisms to adapt and restore the organ homeostasis. Renal tubular epithelial cells are endowed with regenerative capacity, which allows for a restoration of nephron function after acute kidney injury. However, recent evidence indicates that the repair is often incomplete, leading to maladaptive responses that promote the progression to chronic kidney disease. The dysregulated cell cycle and proliferation is also a key feature of renal tubular epithelial cells in polycystic kidney disease and HIV-associated nephropathy. Therefore, in this review, we provide an overview of cell cycle regulation and the consequences of dysregulated cell proliferation in acute kidney injury, polycystic kidney disease, and HIV-associated nephropathy. An increased understanding of these processes may help define better targets for kidney repair and combat chronic kidney disease progression.
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Affiliation(s)
- Kyung Lee
- Department of Medicine, Nephrology Division, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
| | - G Luca Gusella
- Department of Medicine, Nephrology Division, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - John Cijiang He
- Department of Medicine, Nephrology Division, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Renal Program, James J. Peters Veterans Affairs Medical Center, Bronx, New York, USA.
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3
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Smyth LJ, Kilner J, Nair V, Liu H, Brennan E, Kerr K, Sandholm N, Cole J, Dahlström E, Syreeni A, Salem RM, Nelson RG, Looker HC, Wooster C, Anderson K, McKay GJ, Kee F, Young I, Andrews D, Forsblom C, Hirschhorn JN, Godson C, Groop PH, Maxwell AP, Susztak K, Kretzler M, Florez JC, McKnight AJ. Assessment of differentially methylated loci in individuals with end-stage kidney disease attributed to diabetic kidney disease: an exploratory study. Clin Epigenetics 2021; 13:99. [PMID: 33933144 PMCID: PMC8088646 DOI: 10.1186/s13148-021-01081-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 04/15/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND A subset of individuals with type 1 diabetes mellitus (T1DM) are predisposed to developing diabetic kidney disease (DKD), the most common cause globally of end-stage kidney disease (ESKD). Emerging evidence suggests epigenetic changes in DNA methylation may have a causal role in both T1DM and DKD. The aim of this exploratory investigation was to assess differences in blood-derived DNA methylation patterns between individuals with T1DM-ESKD and individuals with long-duration T1DM but no evidence of kidney disease upon repeated testing to identify potential blood-based biomarkers. Blood-derived DNA from individuals (107 cases, 253 controls and 14 experimental controls) were bisulphite treated before DNA methylation patterns from both groups were generated and analysed using Illumina's Infinium MethylationEPIC BeadChip arrays (n = 862,927 sites). Differentially methylated CpG sites (dmCpGs) were identified (false discovery rate adjusted p ≤ × 10-8 and fold change ± 2) by comparing methylation levels between ESKD cases and T1DM controls at single site resolution. Gene annotation and functionality was investigated to enrich and rank methylated regions associated with ESKD in T1DM. RESULTS Top-ranked genes within which several dmCpGs were located and supported by functional data with methylation look-ups in other cohorts include: AFF3, ARID5B, CUX1, ELMO1, FKBP5, HDAC4, ITGAL, LY9, PIM1, RUNX3, SEPTIN9 and UPF3A. Top-ranked enrichment pathways included pathways in cancer, TGF-β signalling and Th17 cell differentiation. CONCLUSIONS Epigenetic alterations provide a dynamic link between an individual's genetic background and their environmental exposures. This robust evaluation of DNA methylation in carefully phenotyped individuals has identified biomarkers associated with ESKD, revealing several genes and implicated key pathways associated with ESKD in individuals with T1DM.
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Affiliation(s)
- L J Smyth
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK.
| | - J Kilner
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - V Nair
- Internal Medicine, Department of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - H Liu
- Department of Department of Medicine/ Nephrology, Department of Genetics, Institute of Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - E Brennan
- Diabetes Complications Research Centre, Conway Institute of Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin 4, Ireland
| | - K Kerr
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - N Sandholm
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - J Cole
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - E Dahlström
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - A Syreeni
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - R M Salem
- Department of Family Medicine and Public Health, UC San Diego, San Diego, CA, USA
| | - R G Nelson
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - H C Looker
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - C Wooster
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - K Anderson
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - G J McKay
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - F Kee
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - I Young
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - D Andrews
- Diabetes Complications Research Centre, Conway Institute of Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin 4, Ireland
| | - C Forsblom
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - J N Hirschhorn
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - C Godson
- Diabetes Complications Research Centre, Conway Institute of Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin 4, Ireland
| | - P H Groop
- Folkhälsan Institute of Genetics, Folkhälsan Research Center, Helsinki, Finland
- Abdominal Center, Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - A P Maxwell
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
- Regional Nephrology Unit, Belfast City Hospital, Belfast, Northern Ireland, UK
| | - K Susztak
- Department of Department of Medicine/ Nephrology, Department of Genetics, Institute of Diabetes, Obesity and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - M Kretzler
- Internal Medicine, Department of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - J C Florez
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - A J McKnight
- Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK
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4
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Targeting AMP-activated protein kinase (AMPK) for treatment of autosomal dominant polycystic kidney disease. Cell Signal 2020; 73:109704. [DOI: 10.1016/j.cellsig.2020.109704] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 06/26/2020] [Accepted: 06/26/2020] [Indexed: 02/06/2023]
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Livingston S, Carlton C, Sharma M, Kearns D, Baybutt R, Vanden Heuvel GB. Cux1 regulation of the cyclin kinase inhibitor p27 kip1 in polycystic kidney disease is attenuated by HDAC inhibitors. Gene 2019; 721S:100007. [PMID: 31396588 PMCID: PMC6687066 DOI: 10.1016/j.gene.2019.100007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Accepted: 02/01/2019] [Indexed: 01/19/2023]
Abstract
Cux1 is a homeodomain protein involved in cell cycle regulation and kidney development. Cux1 represses the cyclin kinase inhibitor p27 during early kidney development, promoting cell proliferation in the nephrogenic zone. Promoter reporter analysis of p27 revealed that Cux1 represses p27 in a concentration dependent manner, and immunoprecipitation showed that Cux1 interacts with the co-repressor Grg4 and the histone deacetylases HDAC1 and HDAC3. Chromatin immunoprecipitation (ChIP) identified the interaction of Cux1, Grg4, HDAC1, and HDAC3 at two different sites in the p27 promoter. To determine whether there was an interaction between these two loci in the developing kidney, we performed chromatin conformation capture (3C) assay. Analysis of newborn kidney tissue with 3C and ChIP-loop showed that the p27 promoter forms a loop intersecting at these two loci and that Cux1 bridges these two sites. To determine whether HDACs are required for Cux1 repression of p27 we analyzed p27 promoter activity in the presence of the HDAC inhibitor trichostatin A (TSA). TSA treatment completely relieved the repression of p27 by Cux1 and Grg4, demonstrating that Cux1 represses p27 in an HDAC dependent manner. To begin to test whether HDAC inhibitors could be used to target Cux1 repression of p27 for the treatment of PKD, we treated Pkd1 targeted pregnant mice with TSA or vehicle beginning at embryonic day 10.5 until embryonic day 18.5. Newborn Pkd1 mutant mice that received vehicle exhibited extensive collecting duct cysts, while newborn Pkd1 mutant mice that received TSA showed a significant reduction in cysts. Moreover, p27 expression was upregulated in TSA treated Pkd1 mice. Taken together, these results suggest that HDACs are required for cyst growth, and further support studies indicating that HDAC inhibitors may be an effective treatment for PKD. Cux1 simultaneously interacts with two separate sites in the p27 promoter forming a loop in the p27 regulatory region. Cux1 repression of p27 is dependent on HDAC activity. Treatment of PKD mice with HDAC inhibitors attenuates Cux1 repression of p27 resulting in reduced cyst growth.
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Affiliation(s)
| | - Carol Carlton
- Department of Anatomy and Cell Biology, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Madhulika Sharma
- Department of Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Donovan Kearns
- Department of Biology, Wheaton College, Wheaton, IL 60187, USA
| | - Richard Baybutt
- Department of Nutrition Science, East Carolina University, Greenville, NC 27834, USA
| | - Gregory B Vanden Heuvel
- Department of Biomedical Sciences, Western Michigan University Homer Stryker MD School of Medicine, Kalamazoo, MI 49008, USA
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6
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Wang L, De Solis AJ, Goffer Y, Birkenbach KE, Engle SE, Tanis R, Levenson JM, Li X, Rausch R, Purohit M, Lee JY, Tan J, De Rosa MC, Doege CA, Aaron HL, Martins GJ, Brüning JC, Egli D, Costa R, Berbari N, Leibel RL, Stratigopoulos G. Ciliary gene RPGRIP1L is required for hypothalamic arcuate neuron development. JCI Insight 2019; 4:e123337. [PMID: 30728336 PMCID: PMC6413800 DOI: 10.1172/jci.insight.123337] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 01/03/2019] [Indexed: 12/16/2022] Open
Abstract
Intronic polymorphisms in the α-ketoglutarate-dependent dioxygenase gene (FTO) that are highly associated with increased body weight have been implicated in the transcriptional control of a nearby ciliary gene, retinitis pigmentosa GTPase regulator-interacting protein-1 like (RPGRIP1L). Previous studies have shown that congenital Rpgrip1l hypomorphism in murine proopiomelanocortin (Pomc) neurons causes obesity by increasing food intake. Here, we show by congenital and adult-onset Rpgrip1l deletion in Pomc-expressing neurons that the hyperphagia and obesity are likely due to neurodevelopmental effects that are characterized by a reduction in the Pomc/Neuropeptide Y (Npy) neuronal number ratio and marked increases in arcuate hypothalamic-paraventricular hypothalamic (ARH-PVH) axonal projections. Biallelic RPGRIP1L mutations result in fewer cilia-positive human induced pluripotent stem cell-derived (iPSC-derived) neurons and blunted responses to Sonic Hedgehog (SHH). Isogenic human ARH-like embryonic stem cell-derived (ESc-derived) neurons homozygous for the obesity-risk alleles at rs8050136 or rs1421085 have decreased RPGRIP1L expression and have lower numbers of POMC neurons. RPGRIP1L overexpression increases POMC cell number. These findings suggest that apparently functional intronic polymorphisms affect hypothalamic RPGRIP1L expression and impact development of POMC neurons and their derivatives, leading to hyperphagia and increased adiposity.
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Affiliation(s)
- Liheng Wang
- Naomi Berrie Diabetes Center and Department of Medicine, College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Alain J. De Solis
- Department of Neuronal Control of Metabolism, Max Planck Institute for Metabolism Research, Cologne, Germany
| | - Yossef Goffer
- Naomi Berrie Diabetes Center & Division of Molecular Genetics, Department of Pediatrics, College of Physicians and Surgeons of Columbia University, New York, New York, USA
| | - Kathryn E. Birkenbach
- Naomi Berrie Diabetes Center & Division of Molecular Genetics, Department of Pediatrics, College of Physicians and Surgeons of Columbia University, New York, New York, USA
| | - Staci E. Engle
- Department of Biology, Indiana University-Purdue University, Indianapolis, Indiana, USA
| | - Ross Tanis
- University of South Carolina School of Medicine, Columbia, South Carolina, USA
| | - Jacob M. Levenson
- University of Central Florida College of Medicine, Orlando, Florida, USA
| | - Xueting Li
- Institute of Human Nutrition graduate program, Columbia University, New York, New York, USA
| | - Richard Rausch
- Naomi Berrie Diabetes Center & Division of Molecular Genetics, Department of Pediatrics, College of Physicians and Surgeons of Columbia University, New York, New York, USA
| | - Manika Purohit
- Zuckerman Institute, Columbia University, New York, New York, USA
| | - Jen-Yi Lee
- Cancer Research Laboratory Molecular Imaging Center, University of California, Berkeley, 94720, USA
| | - Jerica Tan
- Naomi Berrie Diabetes Center, Columbia Stem Cell Initiative, Department of Pathology and Cell Biology, Columbia University, New York, New York, USA
| | - Maria Caterina De Rosa
- Naomi Berrie Diabetes Center, Columbia Stem Cell Initiative, Department of Pathology and Cell Biology, Columbia University, New York, New York, USA
| | - Claudia A. Doege
- Naomi Berrie Diabetes Center, Columbia Stem Cell Initiative, Department of Pathology and Cell Biology, Columbia University, New York, New York, USA
| | - Holly L. Aaron
- Cancer Research Laboratory Molecular Imaging Center, University of California, Berkeley, 94720, USA
| | | | - Jens C. Brüning
- Department of Neuronal Control of Metabolism, Max Planck Institute for Metabolism Research, Cologne, Germany
- Center for Endocrinology, Diabetes and Preventive Medicine (CEDP), University Hospital Cologne, Cologne, Germany
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD) and Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
- National Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Dieter Egli
- Naomi Berrie Diabetes Center & Division of Molecular Genetics, Department of Pediatrics, College of Physicians and Surgeons of Columbia University, New York, New York, USA
| | - Rui Costa
- Zuckerman Institute, Columbia University, New York, New York, USA
| | - Nicolas Berbari
- Department of Biology, Indiana University-Purdue University, Indianapolis, Indiana, USA
| | - Rudolph L. Leibel
- Naomi Berrie Diabetes Center & Division of Molecular Genetics, Department of Pediatrics, College of Physicians and Surgeons of Columbia University, New York, New York, USA
| | - George Stratigopoulos
- Naomi Berrie Diabetes Center & Division of Molecular Genetics, Department of Pediatrics, College of Physicians and Surgeons of Columbia University, New York, New York, USA
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