1
|
Kinyamu HK, Bennett BD, Ward JM, Archer TK. Proteasome Inhibition Reprograms Chromatin Landscape in Breast Cancer. Cancer Res Commun 2024; 4:1082-1099. [PMID: 38625038 PMCID: PMC11019832 DOI: 10.1158/2767-9764.crc-23-0476] [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] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 02/26/2024] [Accepted: 03/22/2024] [Indexed: 04/17/2024]
Abstract
The 26S proteasome is the major protein degradation machinery in cells. Cancer cells use the proteasome to modulate gene expression networks that promote tumor growth. Proteasome inhibitors have emerged as effective cancer therapeutics, but how they work mechanistically remains unclear. Here, using integrative genomic analysis, we discovered unexpected reprogramming of the chromatin landscape and RNA polymerase II (RNAPII) transcription initiation in breast cancer cells treated with the proteasome inhibitor MG132. The cells acquired dynamic changes in chromatin accessibility at specific genomic loci termed differentially open chromatin regions (DOCR). DOCRs with decreased accessibility were promoter proximal and exhibited unique chromatin architecture associated with divergent RNAPII transcription. Conversely, DOCRs with increased accessibility were primarily distal to transcription start sites and enriched in oncogenic superenhancers predominantly accessible in non-basal breast tumor subtypes. These findings describe the mechanisms by which the proteasome modulates the expression of gene networks intrinsic to breast cancer biology. SIGNIFICANCE Our study provides a strong basis for understanding the mechanisms by which proteasome inhibitors exert anticancer effects. We find open chromatin regions that change during proteasome inhibition, are typically accessible in non-basal breast cancers.
Collapse
Affiliation(s)
- H. Karimi Kinyamu
- Chromatin and Gene Expression Section, National Institute of Environmental Health Sciences, Durham, North Carolina
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Durham, North Carolina
- National Institute of Environmental Health Sciences, Durham, North Carolina
| | - Brian D. Bennett
- National Institute of Environmental Health Sciences, Durham, North Carolina
- Integrative Bioinformatics Group, National Institute of Environmental Health Sciences, Durham, North Carolina
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina
| | - James M. Ward
- National Institute of Environmental Health Sciences, Durham, North Carolina
- Integrative Bioinformatics Group, National Institute of Environmental Health Sciences, Durham, North Carolina
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina
| | - Trevor K. Archer
- Chromatin and Gene Expression Section, National Institute of Environmental Health Sciences, Durham, North Carolina
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Durham, North Carolina
- National Institute of Environmental Health Sciences, Durham, North Carolina
| |
Collapse
|
2
|
Hoang TT, Lee Y, McCartney DL, Kersten ETG, Page CM, Hulls PM, Lee M, Walker RM, Breeze CE, Bennett BD, Burkholder AB, Ward J, Brantsæter AL, Caspersen IH, Motsinger-Reif AA, Richards M, White JD, Zhao S, Richmond RC, Magnus MC, Koppelman GH, Evans KL, Marioni RE, Håberg SE, London SJ. Comprehensive evaluation of smoking exposures and their interactions on DNA methylation. EBioMedicine 2024; 100:104956. [PMID: 38199042 PMCID: PMC10825325 DOI: 10.1016/j.ebiom.2023.104956] [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] [Received: 07/07/2023] [Revised: 12/19/2023] [Accepted: 12/20/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Smoking impacts DNA methylation, but data are lacking on smoking-related differential methylation by sex or dietary intake, recent smoking cessation (<1 year), persistence of differential methylation from in utero smoking exposure, and effects of environmental tobacco smoke (ETS). METHODS We meta-analysed data from up to 15,014 adults across 5 cohorts with DNA methylation measured in blood using Illumina's EPIC array for current smoking (2560 exposed), quit < 1 year (500 exposed), in utero (286 exposed), and ETS exposure (676 exposed). We also evaluated the interaction of current smoking with sex or diet (fibre, folate, and vitamin C). FINDINGS Using false discovery rate (FDR < 0.05), 65,857 CpGs were differentially methylated in relation to current smoking, 4025 with recent quitting, 594 with in utero exposure, and 6 with ETS. Most current smoking CpGs attenuated within a year of quitting. CpGs related to in utero exposure in adults were enriched for those previously observed in newborns. Differential methylation by current smoking at 4-71 CpGs may be modified by sex or dietary intake. Nearly half (35-50%) of differentially methylated CpGs on the 450 K array were associated with blood gene expression. Current smoking and in utero smoking CpGs implicated 3049 and 1067 druggable targets, including chemotherapy drugs. INTERPRETATION Many smoking-related methylation sites were identified with Illumina's EPIC array. Most signals revert to levels observed in never smokers within a year of cessation. Many in utero smoking CpGs persist into adulthood. Smoking-related druggable targets may provide insights into cancer treatment response and shared mechanisms across smoking-related diseases. FUNDING Intramural Research Program of the National Institutes of Health, Norwegian Ministry of Health and Care Services and the Ministry of Education and Research, Chief Scientist Office of the Scottish Government Health Directorates and the Scottish Funding Council, Medical Research Council UK and the Wellcome Trust.
Collapse
Affiliation(s)
- Thanh T Hoang
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA; Department of Pediatrics, Division of Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA; Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA; Cancer and Hematology Center, Texas Children's Hospital, Houston, TX, USA
| | - Yunsung Lee
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XU, UK
| | - Elin T G Kersten
- University of Groningen, University Medical Center Groningen, Beatrix Children's Hospital, Dept. of Pediatric Pulmonology and Pediatric Allergy, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, GRIAC Research Institute, Groningen, the Netherlands
| | - Christian M Page
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway; Department of Physical Health and Ageing, Division for Physical and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Paige M Hulls
- Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2BN, UK; MRC Integrative Epidemiology Unit at University of Bristol, BS8 2BN, UK
| | - Mikyeong Lee
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Rosie M Walker
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XU, UK; Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh EH16 4SB, UK; School of Psychology, University of Exeter, Perry Road, Exeter, UK
| | - Charles E Breeze
- UCL Cancer Institute, University College London, Paul O'Gorman Building, London, UK; Altius Institute for Biomedical Sciences, Seattle, WA, USA
| | - Brian D Bennett
- Department of Health and Human Services, Integrative Bioinformatics Support Group, National Institutes of Health, Research Triangle Park, NC, USA
| | - Adam B Burkholder
- Department of Health and Human Services, Office of Environmental Science Cyberinfrastructure, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - James Ward
- Department of Health and Human Services, Integrative Bioinformatics Support Group, National Institutes of Health, Research Triangle Park, NC, USA
| | - Anne Lise Brantsæter
- Department of Food Safety, Division of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Ida H Caspersen
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Alison A Motsinger-Reif
- Department of Health and Human Services, Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | | | - Julie D White
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA; GenOmics and Translational Research Center, Analytics Practice Area, RTI International, Research Triangle Park, NC, USA
| | - Shanshan Zhao
- Department of Health and Human Services, Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Rebecca C Richmond
- Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2BN, UK; MRC Integrative Epidemiology Unit at University of Bristol, BS8 2BN, UK
| | - Maria C Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Gerard H Koppelman
- University of Groningen, University Medical Center Groningen, Beatrix Children's Hospital, Dept. of Pediatric Pulmonology and Pediatric Allergy, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, GRIAC Research Institute, Groningen, the Netherlands
| | - Kathryn L Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XU, UK
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XU, UK
| | - Siri E Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA.
| |
Collapse
|
3
|
Kinyamu HK, Bennett BD, Ward JM, Archer T. Proteasome inhibition reprograms chromatin landscape in breast cancer. bioRxiv 2023:2023.10.13.562284. [PMID: 37904968 PMCID: PMC10614768 DOI: 10.1101/2023.10.13.562284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
The 26S proteasome is the major protein degradation machinery in cells. Cancer cells use the proteasome to modulate gene expression networks that promote tumor growth. Proteasome inhibitors have emerged as effective cancer therapeutics, but how they work mechanistically remains unclear. Here, using integrative genomic analysis, we discovered unexpected reprogramming of the chromatin landscape and RNAPII transcription initiation in breast cancer cells treated with the proteasome inhibitor MG132. The cells acquired dynamic changes in chromatin accessibility at specific genomic loci termed Differentially Open Chromatin Regions (DOCRs). DOCRs with decreased accessibility were promoter proximal and exhibited unique chromatin architecture associated with divergent RNAPII transcription. Conversely, DOCRs with increased accessibility were primarily distal to transcription start sites and enriched in oncogenic super enhancers predominantly accessible in non-basal breast tumor subtypes. These findings describe the mechanisms by which the proteasome modulates the expression of gene networks intrinsic to breast cancer biology. Highlights Proteasome inhibition uncovers de novo Differential Open Chromatin Regions (DOCRs) in breast cancer cells. Proteasome inhibitor sensitive promoters exhibit a distinctive chromatin architecture with discrete transcription initiation patterns.Proteasome inhibition reprograms accessibility of super enhancers.Proteasome inhibitor sensitive super enhancers distinguish basal from non-basal breast cancer subtypes.
Collapse
|
4
|
Cho HY, Wang X, Campbell MR, Panduri V, Coviello S, Caballero MT, Bennett BD, Kleeberger SR, Polack FP, Ofman G, Bell DA. Prospective epigenome and transcriptome analyses of cord and peripheral blood from preterm infants at risk of bronchopulmonary dysplasia. Sci Rep 2023; 13:12262. [PMID: 37507442 PMCID: PMC10382533 DOI: 10.1038/s41598-023-39313-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 07/23/2023] [Indexed: 07/30/2023] Open
Abstract
Bronchopulmonary dysplasia (BPD) is a prevalent chronic lung disease of prematurity with limited treatment options. To uncover biomarkers of BPD risk, this study investigated epigenetic and transcriptomic signatures of prematurity at birth and during the neonatal period at day 14 and 28. Peripheral blood DNAs from preterm infants were applied to methylation arrays and cell-type composition was estimated by deconvolution. Covariate-adjusted robust linear regression elucidated BPD- and prolonged oxygen (≥ 14 days) exposure-associated CpGs. RNAs from cord and peripheral blood were sequenced, and differentially expressed genes (DEGs) for BPD or oxygen exposure were determined. Estimated neutrophil-lymphocyte ratios in peripheral blood at day 14 in BPD infants were significantly higher than nonBPD infants, suggesting an heightened inflammatory response in developing BPD. BPD-DEGs in cord blood indicated lymphopoiesis inhibition, altered Th1/Th2 responses, DNA damage, and organ degeneration. On day 14, BPD-associated CpGs were highly enriched in neutrophil activation, infection, and CD4 + T cell quantity, and BPD-DEGs were involved in DNA damage, cellular senescence, T cell homeostasis, and hyper-cytokinesis. On day 28, BPD-associated CpGs along with BPD-DEGs were enriched for phagocytosis, neurological disorder, and nucleotide metabolism. Oxygen supplementation markedly downregulated mitochondrial biogenesis genes and altered CpGs annotated to developmental genes. Prematurity-altered DNA methylation could cause abnormal lymphopoiesis, cellular assembly and cell cycle progression to increase BPD risk. Similar pathways between epigenome and transcriptome networks suggest coordination of the two in dysregulating leukopoiesis, adaptive immunity, and innate immunity. The results provide molecular insights into biomarkers for early detection and prevention of BPD.
Collapse
Affiliation(s)
- Hye-Youn Cho
- Immunity, Inflammation and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, USA
| | - Xuting Wang
- Immunity, Inflammation and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, USA
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, USA
| | - Michelle R Campbell
- Immunity, Inflammation and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, USA
| | - Vijayalakshmi Panduri
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, USA
| | | | - Mauricio T Caballero
- Fundación INFANT, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Brian D Bennett
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, USA
| | - Steven R Kleeberger
- Immunity, Inflammation and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, USA
| | - Fernando P Polack
- Fundación INFANT, Buenos Aires, Argentina
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Gaston Ofman
- Fundación INFANT, Buenos Aires, Argentina
- Section of Neonatal-Perinatal Medicine, Center for Pregnancy and Newborn Research, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - Douglas A Bell
- Immunity, Inflammation and Disease Laboratory, National Institute of Environmental Health Sciences, Building 101, MD C3-03, 111 TW Alexander Dr., Research Triangle Park, NC, 27709, USA.
| |
Collapse
|
5
|
Bisogno LS, Yang J, Bennett BD, Ward JM, Mackey LC, Annab LA, Bushel PR, Singhal S, Schurman SH, Byun JS, Nápoles AM, Pérez-Stable EJ, Fargo DC, Gardner K, Archer TK. Ancestry-dependent gene expression correlates with reprogramming to pluripotency and multiple dynamic biological processes. Sci Adv 2020; 6:6/47/eabc3851. [PMID: 33219026 PMCID: PMC7679169 DOI: 10.1126/sciadv.abc3851] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Accepted: 10/02/2020] [Indexed: 05/10/2023]
Abstract
Induced pluripotent stem cells (iPSCs) can be derived from differentiated cells, enabling the generation of personalized disease models by differentiating patient-derived iPSCs into disease-relevant cell lines. While genetic variability between different iPSC lines affects differentiation potential, how this variability in somatic cells affects pluripotent potential is less understood. We generated and compared transcriptomic data from 72 dermal fibroblast-iPSC pairs with consistent variation in reprogramming efficiency. By considering equal numbers of samples from self-reported African Americans and White Americans, we identified both ancestry-dependent and ancestry-independent transcripts associated with reprogramming efficiency, suggesting that transcriptomic heterogeneity can substantially affect reprogramming. Moreover, reprogramming efficiency-associated genes are involved in diverse dynamic biological processes, including cancer and wound healing, and are predictive of 5-year breast cancer survival in an independent cohort. Candidate genes may provide insight into mechanisms of ancestry-dependent regulation of cell fate transitions and motivate additional studies for improvement of reprogramming.
Collapse
Affiliation(s)
- Laura S Bisogno
- Chromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Jun Yang
- Chromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Brian D Bennett
- Integrative Bioinformatics, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - James M Ward
- Integrative Bioinformatics, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Lantz C Mackey
- Chromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Lois A Annab
- Chromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Pierre R Bushel
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Sandeep Singhal
- Department of Pathology, Department of Computer Science, University of North Dakota, Grand Forks, ND, USA
| | - Shepherd H Schurman
- Clinical Research Unit, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Jung S Byun
- Division of Intramural Research, Office of the Scientific Director, National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | - Anna María Nápoles
- Division of Intramural Research, Office of the Scientific Director, National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | - Eliseo J Pérez-Stable
- Division of Intramural Research, Office of the Scientific Director, National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
- Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA
| | - David C Fargo
- Office of Scientific Computing, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Kevin Gardner
- Division of Intramural Research, Office of the Scientific Director, National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
- Department of Pathology and Cell Biology, Columbia University Medical Center, Columbia University, New York, NY, USA
| | - Trevor K Archer
- Chromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
| |
Collapse
|
6
|
Takaku M, Grimm SA, De Kumar B, Bennett BD, Wade PA. Cancer-specific mutation of GATA3 disrupts the transcriptional regulatory network governed by Estrogen Receptor alpha, FOXA1 and GATA3. Nucleic Acids Res 2020; 48:4756-4768. [PMID: 32232341 DOI: 10.1093/nar/gkaa179] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 02/27/2020] [Accepted: 03/11/2020] [Indexed: 11/15/2022] Open
Abstract
Estrogen receptors (ER) are activated by the steroid hormone 17β-estradiol. Estrogen receptor alpha (ER-α) forms a regulatory network in mammary epithelial cells and in breast cancer with the transcription factors FOXA1 and GATA3. GATA3 is one of the most frequently mutated genes in breast cancer and is capable of specifying chromatin localization of FOXA1 and ER-α. How GATA3 mutations found in breast cancer impact genomic localization of ER-α and the transcriptional network downstream of ER-α and FOXA1 remains unclear. Here, we investigate the function of a recurrent patient-derived GATA3 mutation (R330fs) on this regulatory network. Genomic analysis indicates that the R330fs mutant can disrupt localization of ER-α and FOXA1. Loci co-bound by all three factors are enriched for genes integral to mammary gland development as well as epithelial cell biology. This gene set is differentially regulated in GATA3 mutant cells in culture and in tumors bearing similar mutations in vivo. The altered distribution of ER-α and FOXA1 in GATA3-mutant cells is associated with altered chromatin architecture, which leads to differential gene expression. These results suggest an active role for GATA3 zinc finger 2 mutants in ER-α positive breast tumors.
Collapse
Affiliation(s)
- Motoki Takaku
- Department of Biomedical Sciences, University of North Dakota School of Medicine, Grand Forks, ND 58202, USA.,Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Sara A Grimm
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Bony De Kumar
- Department of Biomedical Sciences, University of North Dakota School of Medicine, Grand Forks, ND 58202, USA
| | - Brian D Bennett
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Paul A Wade
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| |
Collapse
|
7
|
Hoang TT, Sikdar S, Xu CJ, Lee MK, Cardwell J, Forno E, Imboden M, Jeong A, Madore AM, Qi C, Wang T, Bennett BD, Ward JM, Parks CG, Beane-Freeman LE, King D, Motsinger-Reif A, Umbach DM, Wyss AB, Schwartz DA, Celedón JC, Laprise C, Ober C, Probst-Hensch N, Yang IV, Koppelman GH, London SJ. Epigenome-wide association study of DNA methylation and adult asthma in the Agricultural Lung Health Study. Eur Respir J 2020; 56:13993003.00217-2020. [PMID: 32381493 PMCID: PMC7469973 DOI: 10.1183/13993003.00217-2020] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 04/15/2020] [Indexed: 12/11/2022]
Abstract
Epigenome-wide studies of methylation in children support a role for epigenetic mechanisms in asthma; however, studies in adults are rare and few have examined non-atopic asthma. We conducted the largest epigenome-wide association study (EWAS) of blood DNA methylation in adults in relation to non-atopic and atopic asthma. We measured DNA methylation in blood using the Illumina MethylationEPIC array among 2286 participants in a case-control study of current adult asthma nested within a United States agricultural cohort. Atopy was defined by serum specific immunoglobulin E (IgE). Participants were categorised as atopy without asthma (n=185), non-atopic asthma (n=673), atopic asthma (n=271), or a reference group of neither atopy nor asthma (n=1157). Analyses were conducted using logistic regression. No associations were observed with atopy without asthma. Numerous cytosine–phosphate–guanine (CpG) sites were differentially methylated in non-atopic asthma (eight at family-wise error rate (FWER) p<9×10−8, 524 at false discovery rate (FDR) less than 0.05) and implicated 382 novel genes. More CpG sites were identified in atopic asthma (181 at FWER, 1086 at FDR) and implicated 569 novel genes. 104 FDR CpG sites overlapped. 35% of CpG sites in non-atopic asthma and 91% in atopic asthma replicated in studies of whole blood, eosinophils, airway epithelium, or nasal epithelium. Implicated genes were enriched in pathways related to the nervous system or inflammation. We identified numerous, distinct differentially methylated CpG sites in non-atopic and atopic asthma. Many CpG sites from blood replicated in asthma-relevant tissues. These circulating biomarkers reflect risk and sequelae of disease, as well as implicate novel genes associated with non-atopic and atopic asthma. Distinct methylation signals are found in non-atopic and atopic asthma. Most are related to gene expression and are replicated in asthma-relevant tissues, confirming the value of blood DNA methylation for identifying novel genes linked in asthma pathogenesis.https://bit.ly/2VnbJg3
Collapse
Affiliation(s)
- Thanh T Hoang
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Dept of Health and Human Services, Research Triangle Park, NC, USA.,Joint first authors
| | - Sinjini Sikdar
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Dept of Health and Human Services, Research Triangle Park, NC, USA.,Dept of Mathematics and Statistics, Old Dominion University, Norfolk, VA, USA.,Joint first authors
| | - Cheng-Jian Xu
- Centre for Individualised Infection Medicine (CiiM), Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany.,Centre for Experimental and Clinical Infection Research (TWINCORE), Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany.,Joint first authors
| | - Mi Kyeong Lee
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Dept of Health and Human Services, Research Triangle Park, NC, USA
| | - Jonathan Cardwell
- Dept of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Erick Forno
- Division of Pulmonary Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA.,Dept of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Medea Imboden
- Chronic Disease Epidemiology Unit, Dept of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.,Dept of Public Health, University of Basel, Basel, Switzerland
| | - Ayoung Jeong
- Chronic Disease Epidemiology Unit, Dept of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.,Dept of Public Health, University of Basel, Basel, Switzerland
| | - Anne-Marie Madore
- Département des Sciences Fondamentales, Université du Québec à Chicoutimi, Saguenay, QC, Canada
| | - Cancan Qi
- Dept of Pediatric Pulmonology and Pediatric Allergy, University Medical Center Groningen, University of Groningen, Beatrix Children's Hospital and GRIAC Research Institute, Groningen, The Netherlands
| | - Tianyuan Wang
- Integrative Bioinformatics Support Group, National Institutes of Health, Dept of Health and Human Services, Research Triangle Park, NC, USA
| | - Brian D Bennett
- Integrative Bioinformatics Support Group, National Institutes of Health, Dept of Health and Human Services, Research Triangle Park, NC, USA
| | - James M Ward
- Integrative Bioinformatics Support Group, National Institutes of Health, Dept of Health and Human Services, Research Triangle Park, NC, USA
| | - Christine G Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Dept of Health and Human Services, Research Triangle Park, NC, USA
| | - Laura E Beane-Freeman
- Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA
| | - Debra King
- Clinical Pathology Group, National Institute of Environmental Health Sciences, National Institutes of Health, Dept of Health and Human Services, Research Triangle Park, NC, USA
| | - Alison Motsinger-Reif
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Dept of Health and Human Services, Research Triangle Park, NC, USA
| | - David M Umbach
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Dept of Health and Human Services, Research Triangle Park, NC, USA
| | - Annah B Wyss
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Dept of Health and Human Services, Research Triangle Park, NC, USA
| | - David A Schwartz
- Dept of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Juan C Celedón
- Division of Pulmonary Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA.,Dept of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Catherine Laprise
- Département des Sciences Fondamentales, Université du Québec à Chicoutimi, Saguenay, QC, Canada.,Centre Intersectoriel en Santé Durable, Département des Sciences Fondamentales, Université du Québec à Chicoutimi, Saguenay, QC, Canada.,Dept of Pediatrics, Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay-Lac-Saint-Jean, Saguenay, QC, Canada
| | - Carole Ober
- Dept of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Nicole Probst-Hensch
- Chronic Disease Epidemiology Unit, Dept of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.,Dept of Public Health, University of Basel, Basel, Switzerland
| | - Ivana V Yang
- Dept of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Gerard H Koppelman
- Dept of Pediatric Pulmonology and Pediatric Allergy, University Medical Center Groningen, University of Groningen, Beatrix Children's Hospital and GRIAC Research Institute, Groningen, The Netherlands
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Dept of Health and Human Services, Research Triangle Park, NC, USA
| |
Collapse
|
8
|
Martos SN, Campbell MR, Lozoya OA, Wang X, Bennett BD, Thompson IJB, Wan M, Pittman GS, Bell DA. Single-cell analyses identify dysfunctional CD16 + CD8 T cells in smokers. Cell Rep Med 2020; 1. [PMID: 33163982 PMCID: PMC7644053 DOI: 10.1016/j.xcrm.2020.100054] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Tobacco smoke exposure contributes to the global burden of communicable and chronic diseases. To identify the immune cells affected by smoking, we use single-cell RNA sequencing on peripheral blood from smokers and nonsmokers. Transcriptomes reveal a subpopulation of FCGR3A (CD16)-expressing natural killer (NK)-like CD8 T lymphocytes that increase in smokers. Mass cytometry confirms elevated CD16+ CD8 T cells in smokers. Inferred as highly differentiated by pseudotime analysis, NK-like CD8 T cells express markers that are characteristic of effector memory re-expressing CD45RA T (TEMRA) cells. Indicative of immune aging, smokers’ CD8 T cells are biased toward differentiated cells, and smokers have fewer naive cells than nonsmokers. DNA methylation-based models show that smoking dose is associated with accelerated aging and decreased telomere length, a biomarker of T cell senescence. Immune aging accompanies T cell senescence, which can ultimately lead to impaired immune function. This suggests a role for smoking-induced, senescence-associated immune dysregulation in smoking-mediated pathologies. Smoking shifts the composition of CD8 T cells from naive to differentiated states NK-like CD16+ CD8 TEMRA cells are elevated in smokers and express GZMB and PRF1 DNA methylation links smoking dose with age acceleration and shortened telomeres CD8 T, CD4 T, NKT, NK, and monocytes express senescence-linked genes in smokers
Collapse
Affiliation(s)
- Suzanne N Martos
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, 27709.,These authors contributed equally
| | - Michelle R Campbell
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, 27709.,These authors contributed equally
| | - Oswaldo A Lozoya
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, 27709
| | - Xuting Wang
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, 27709
| | - Brian D Bennett
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, 27709
| | - Isabel J B Thompson
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, 27709
| | - Ma Wan
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, 27709
| | - Gary S Pittman
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, 27709
| | - Douglas A Bell
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, 27709
| |
Collapse
|
9
|
Kinyamu HK, Bennett BD, Bushel PR, Archer TK. Proteasome inhibition creates a chromatin landscape favorable to RNA Pol II processivity. J Biol Chem 2019; 295:1271-1287. [PMID: 31806706 DOI: 10.1074/jbc.ra119.011174] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 12/02/2019] [Indexed: 11/06/2022] Open
Abstract
Proteasome activity is required for diverse cellular processes, including transcriptional and epigenetic regulation. However, inhibiting proteasome activity can lead to an increase in transcriptional output that is correlated with enriched levels of trimethyl H3K4 and phosphorylated forms of RNA polymerase (Pol) II at the promoter and gene body. Here, we perform gene expression analysis and ChIP followed by sequencing (ChIP-seq) in MCF-7 breast cancer cells treated with the proteasome inhibitor MG132, and we further explore genome-wide effects of proteasome inhibition on the chromatin state and RNA Pol II transcription. Analysis of gene expression programs and chromatin architecture reveals that chemically inhibiting proteasome activity creates a distinct chromatin state, defined by spreading of the H3K4me3 mark into the gene bodies of differentially-expressed genes. The distinct H3K4me3 chromatin profile and hyperacetylated nucleosomes at transcription start sites establish a chromatin landscape that facilitates recruitment of Ser-5- and Ser-2-phosphorylated RNA Pol II. Subsequent transcriptional events result in diverse gene expression changes. Alterations of H3K36me3 levels in the gene body reflect productive RNA Pol II elongation of transcripts of genes that are induced, underscoring the requirement for proteasome activity at multiple phases of the transcriptional cycle. Finally, by integrating genomics data and pathway analysis, we find that the differential effects of proteasome inhibition on the chromatin state modulate genes that are fundamental for cancer cell survival. Together, our results uncover underappreciated downstream effects of proteasome inhibitors that may underlie targeting of distinct chromatin states and key steps of RNA Pol II-mediated transcription in cancer cells.
Collapse
Affiliation(s)
- H Karimi Kinyamu
- Chromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina 27709
| | - Brian D Bennett
- Chromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina 27709.,Integrative Bioinformatics Support Group, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina 27709
| | - Pierre R Bushel
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina 27709
| | - Trevor K Archer
- Chromatin and Gene Expression Section, Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, North Carolina 27709
| |
Collapse
|
10
|
Sikdar S, Joehanes R, Joubert BR, Xu CJ, Vives-Usano M, Rezwan FI, Felix JF, Ward JM, Guan W, Richmond RC, Brody JA, Küpers LK, Baïz N, Håberg SE, Smith JA, Reese SE, Aslibekyan S, Hoyo C, Dhingra R, Markunas CA, Xu T, Reynolds LM, Just AC, Mandaviya PR, Ghantous A, Bennett BD, Wang T, Consortium TBIOS, Bakulski KM, Melen E, Zhao S, Jin J, Herceg Z, van Meurs J, Taylor JA, Baccarelli AA, Murphy SK, Liu Y, Munthe-Kaas MC, Deary IJ, Nystad W, Waldenberger M, Annesi-Maesano I, Conneely K, Jaddoe VWV, Arnett D, Snieder H, Kardia SLR, Relton CL, Ong KK, Ewart S, Moreno-Macias H, Romieu I, Sotoodehnia N, Fornage M, Motsinger-Reif A, Koppelman GH, Bustamante M, Levy D, London SJ. Comparison of smoking-related DNA methylation between newborns from prenatal exposure and adults from personal smoking. Epigenomics 2019; 11:1487-1500. [PMID: 31536415 PMCID: PMC6836223 DOI: 10.2217/epi-2019-0066] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Accepted: 08/13/2019] [Indexed: 12/17/2022] Open
Abstract
Aim: Cigarette smoking influences DNA methylation genome wide, in newborns from pregnancy exposure and in adults from personal smoking. Whether a unique methylation signature exists for in utero exposure in newborns is unknown. Materials & methods: We separately meta-analyzed newborn blood DNA methylation (assessed using Illumina450k Beadchip), in relation to sustained maternal smoking during pregnancy (9 cohorts, 5648 newborns, 897 exposed) and adult blood methylation and personal smoking (16 cohorts, 15907 participants, 2433 current smokers). Results & conclusion: Comparing meta-analyses, we identified numerous signatures specific to newborns along with many shared between newborns and adults. Unique smoking-associated genes in newborns were enriched in xenobiotic metabolism pathways. Our findings may provide insights into specific health impacts of prenatal exposure on offspring.
Collapse
Affiliation(s)
- Sinjini Sikdar
- Department of Health & Human Services, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Roby Joehanes
- Hebrew SeniorLife, Harvard Medical School, Boston, MA 02115, USA
- Framingham Heart Study, Framingham, MA 01702, USA
| | - Bonnie R Joubert
- Department of Health & Human Services, Division of Extramural Research & Training, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Cheng-Jian Xu
- Department of Pediatric Pulmonology & Pediatric Allergology, Beatrix Children’s Hospital, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen, The Netherlands
- GRIAC Research Institute Groningen, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen, The Netherlands
| | - Marta Vives-Usano
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Center for Genomic Regulation (CRG), Barcelona Institute of Science & Technology, Barcelona, Spain
| | - Faisal I Rezwan
- Human Development & Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Janine F Felix
- The Generation R Study Group, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - James M Ward
- Department of Health & Human Services, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit, School of Social & Community Medicine, University of Bristol, Bristol, UK
| | - Jennifer A Brody
- Department of Medicine, Epidemiology, & Health Services, Cardiovascular Health Research Unit, University of Washington, Seattle, WA 98101, USA
| | - Leanne K Küpers
- MRC Integrative Epidemiology Unit, School of Social & Community Medicine, University of Bristol, Bristol, UK
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Division of Human Nutrition & Health, Wageningen University, Wageningen, The Netherlands
| | - Nour Baïz
- Epidemiology of Allergic & Respiratory Diseases Department (EPAR), Sorbonne Universités, INSERM, Pierre Louis Institute of Epidemiology & Public Health (IPLESP UMRS 1136), Saint-Antoine Medical School, Paris, France
| | - Siri E Håberg
- Centre for Fertility & Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Sarah E Reese
- Department of Health & Human Services, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Stella Aslibekyan
- College of Public Health, University of Kentucky, Lexington, KY 40536, USA
| | - Cathrine Hoyo
- Department of Biological Sciences & Center for Human Health & the Environment, North Carolina State University, Raleigh, NC 27695, USA
| | - Radhika Dhingra
- Department of Environmental Sciences & Engineering, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC 27599, USA
- Institute for Environmental Health Solutions, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Christina A Markunas
- Behavioral Health Research Division, RTI International, Research Triangle Park, NC 27709, USA
| | - Tao Xu
- Research Unit of Molecular Epidemiology, Helmhotz Zentrum Muenchen, Munich, Germany
| | - Lindsay M Reynolds
- Department of Epidemiology & Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Allan C Just
- Department of Environmental Medicine & Public Health, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Pooja R Mandaviya
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Akram Ghantous
- Epigenetics Group, International Agency for Research on Cancer (IARC), Lyon, France
| | - Brian D Bennett
- Department of Health & Human Services, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Tianyuan Wang
- Department of Health & Human Services, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - The BIOS Consortium
- Department of Health & Human Services, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
- Hebrew SeniorLife, Harvard Medical School, Boston, MA 02115, USA
- Framingham Heart Study, Framingham, MA 01702, USA
- Department of Health & Human Services, Division of Extramural Research & Training, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
- Department of Pediatric Pulmonology & Pediatric Allergology, Beatrix Children’s Hospital, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen, The Netherlands
- GRIAC Research Institute Groningen, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen, The Netherlands
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Center for Genomic Regulation (CRG), Barcelona Institute of Science & Technology, Barcelona, Spain
- Human Development & Health, Faculty of Medicine, University of Southampton, Southampton, UK
- The Generation R Study Group, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
- MRC Integrative Epidemiology Unit, School of Social & Community Medicine, University of Bristol, Bristol, UK
- Department of Medicine, Epidemiology, & Health Services, Cardiovascular Health Research Unit, University of Washington, Seattle, WA 98101, USA
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Division of Human Nutrition & Health, Wageningen University, Wageningen, The Netherlands
- Epidemiology of Allergic & Respiratory Diseases Department (EPAR), Sorbonne Universités, INSERM, Pierre Louis Institute of Epidemiology & Public Health (IPLESP UMRS 1136), Saint-Antoine Medical School, Paris, France
- Centre for Fertility & Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
- College of Public Health, University of Kentucky, Lexington, KY 40536, USA
- Department of Biological Sciences & Center for Human Health & the Environment, North Carolina State University, Raleigh, NC 27695, USA
- Department of Environmental Sciences & Engineering, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC 27599, USA
- Institute for Environmental Health Solutions, University of North Carolina, Chapel Hill, NC 27599, USA
- Behavioral Health Research Division, RTI International, Research Triangle Park, NC 27709, USA
- Research Unit of Molecular Epidemiology, Helmhotz Zentrum Muenchen, Munich, Germany
- Department of Epidemiology & Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
- Department of Environmental Medicine & Public Health, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, The Netherlands
- Epigenetics Group, International Agency for Research on Cancer (IARC), Lyon, France
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Westat, Durham, NC 27703, USA
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York City, NY 10032, USA
- Departments of Obstetrics & Gynecology & Pathology, Duke University School of Medicine, Durham, NC 27708, USA
- Department of Pediatrics, Oslo University Hospital, Oslo, Norway
- National Institute of Public Health, Oslo, Norway
- Centre for Cognitive Ageing & Cognitive Epidemiology, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Division of Mental & Physical Health, Norwegian Institute of Public Health, Oslo, Norway
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- Department of Paediatrics, University of Cambridge, Cambridge, UK
- Department of Large Animal Clinical Sciences, Michigan State University, East Lansing, MI 48824, USA
- Autonomous Metropolitan University Iztapalapa, Mexico City, Mexico
- Nutrition & Metabolism Section, International Agency for Research on Cancer, Lyon, France
- Center for Research on Population Health, National Institute of Public Health, Mexico
- Hubert Department of Global Health, Emory University, Atlanta, GA 30329, USA
- Institute of Molecular Medicine & Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX 77225, USA
- Population Sciences Branch, National Heart, Lung, & Blood Institute, National Institutes of Health, Bethesda, MD 01702, USA
| | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Erik Melen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Shanshan Zhao
- Department of Health & Human Services, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | | | - Zdenko Herceg
- Epigenetics Group, International Agency for Research on Cancer (IARC), Lyon, France
| | - Joyce van Meurs
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Jack A Taylor
- Department of Health & Human Services, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York City, NY 10032, USA
| | - Susan K Murphy
- Departments of Obstetrics & Gynecology & Pathology, Duke University School of Medicine, Durham, NC 27708, USA
| | - Yongmei Liu
- Department of Epidemiology & Prevention, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Monica Cheng Munthe-Kaas
- Department of Pediatrics, Oslo University Hospital, Oslo, Norway
- National Institute of Public Health, Oslo, Norway
| | - Ian J Deary
- Centre for Cognitive Ageing & Cognitive Epidemiology, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Wenche Nystad
- Division of Mental & Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmhotz Zentrum Muenchen, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Isabella Annesi-Maesano
- Epidemiology of Allergic & Respiratory Diseases Department (EPAR), Sorbonne Universités, INSERM, Pierre Louis Institute of Epidemiology & Public Health (IPLESP UMRS 1136), Saint-Antoine Medical School, Paris, France
| | - Karen Conneely
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Vincent WV Jaddoe
- The Generation R Study Group, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Donna Arnett
- College of Public Health, University of Kentucky, Lexington, KY 40536, USA
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sharon LR Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, School of Social & Community Medicine, University of Bristol, Bristol, UK
| | - Ken K Ong
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Susan Ewart
- Department of Large Animal Clinical Sciences, Michigan State University, East Lansing, MI 48824, USA
| | | | - Isabelle Romieu
- Nutrition & Metabolism Section, International Agency for Research on Cancer, Lyon, France
- Center for Research on Population Health, National Institute of Public Health, Mexico
- Hubert Department of Global Health, Emory University, Atlanta, GA 30329, USA
| | - Nona Sotoodehnia
- Department of Medicine, Epidemiology, & Health Services, Cardiovascular Health Research Unit, University of Washington, Seattle, WA 98101, USA
| | - Myriam Fornage
- Institute of Molecular Medicine & Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX 77225, USA
| | - Alison Motsinger-Reif
- Department of Health & Human Services, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Gerard H Koppelman
- Department of Pediatric Pulmonology & Pediatric Allergology, Beatrix Children’s Hospital, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen, The Netherlands
- GRIAC Research Institute Groningen, University of Groningen, University Medical Center Groningen, PO Box 30001, Groningen, The Netherlands
| | - Mariona Bustamante
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Center for Genomic Regulation (CRG), Barcelona Institute of Science & Technology, Barcelona, Spain
| | - Daniel Levy
- Framingham Heart Study, Framingham, MA 01702, USA
- Population Sciences Branch, National Heart, Lung, & Blood Institute, National Institutes of Health, Bethesda, MD 01702, USA
| | - Stephanie J London
- Department of Health & Human Services, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| |
Collapse
|
11
|
Bennett BD, Gralnick JA. Mechanisms of toxicity by and resistance to ferrous iron in anaerobic systems. Free Radic Biol Med 2019; 140:167-171. [PMID: 31251977 DOI: 10.1016/j.freeradbiomed.2019.06.027] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Revised: 06/13/2019] [Accepted: 06/23/2019] [Indexed: 12/24/2022]
Abstract
Iron is an essential element for nearly all life on Earth, primarily for its value as a redox active cofactor. Iron exists predominantly in two biologically relevant redox states: ferric iron, the oxidized state (Fe3+), and ferrous iron, the reduced state (Fe2+). Fe2+ is well known to facilitate electron transfer reactions that can lead to the generation of reactive oxygen species. Less is known about why iron is toxic to cells in the absence of oxygen, yet this phenomenon is critically important for our understanding of life on early Earth and in iron-rich ecosystems today. In this brief review, we will highlight our current understanding of anaerobic Fe2+ toxicity, focusing on molecular mechanistic studies in several model systems.
Collapse
Affiliation(s)
- B D Bennett
- Pacific Biosciences Research Center, University of Hawai‛i at Mānoa, Honolulu, HI, 96813, USA
| | - J A Gralnick
- BioTechnology Institute and Department of Plant and Microbial Biology, University of Minnesota - Twin Cities, St. Paul, MN, 55108, USA.
| |
Collapse
|
12
|
Oldfield AJ, Henriques T, Kumar D, Burkholder AB, Cinghu S, Paulet D, Bennett BD, Yang P, Scruggs BS, Lavender CA, Rivals E, Adelman K, Jothi R. NF-Y controls fidelity of transcription initiation at gene promoters through maintenance of the nucleosome-depleted region. Nat Commun 2019; 10:3072. [PMID: 31296853 PMCID: PMC6624317 DOI: 10.1038/s41467-019-10905-7] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [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: 12/21/2018] [Accepted: 05/27/2019] [Indexed: 12/22/2022] Open
Abstract
Faithful transcription initiation is critical for accurate gene expression, yet the mechanisms underlying specific transcription start site (TSS) selection in mammals remain unclear. Here, we show that the histone-fold domain protein NF-Y, a ubiquitously expressed transcription factor, controls the fidelity of transcription initiation at gene promoters in mouse embryonic stem cells. We report that NF-Y maintains the region upstream of TSSs in a nucleosome-depleted state while simultaneously protecting this accessible region against aberrant and/or ectopic transcription initiation. We find that loss of NF-Y binding in mammalian cells disrupts the promoter chromatin landscape, leading to nucleosomal encroachment over the canonical TSS. Importantly, this chromatin rearrangement is accompanied by upstream relocation of the transcription pre-initiation complex and ectopic transcription initiation. Further, this phenomenon generates aberrant extended transcripts that undergo translation, disrupting gene expression profiles. These results suggest NF-Y is a central player in TSS selection in metazoans and highlight the deleterious consequences of inaccurate transcription initiation. The mechanisms underlying specific TSS selection in mammals remain unclear. Here the authors show that the ubiquitously expressed transcription factor NF-Y regulate fidelity of transcription initiation at gene promoters, maintaining the region upstream of TSSs in a nucleosome-depleted state, while protecting this region from ectopic transcription initiation.
Collapse
Affiliation(s)
- Andrew J Oldfield
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, 27709, USA. .,Institute of Human Genetics, CNRS, University of Montpellier, Montpellier, 34396, France.
| | - Telmo Henriques
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, 27709, USA.,Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, 02115, USA
| | - Dhirendra Kumar
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, 27709, USA
| | - Adam B Burkholder
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, 27709, USA
| | - Senthilkumar Cinghu
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, 27709, USA
| | - Damien Paulet
- Department of Computer Science, LIRMM, CNRS et Université de Montpellier, Montpellier, 34095, France.,Institut de Biologie Computationnelle (IBC), Université de Montpellier, Montpellier, 34095, France
| | - Brian D Bennett
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, 27709, USA
| | - Pengyi Yang
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, 27709, USA.,Charles Perkins Centre and School of Mathematics and Statistics, University of Sydney, Sydney, NSW 2006, Australia
| | - Benjamin S Scruggs
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, 27709, USA
| | - Christopher A Lavender
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, 27709, USA
| | - Eric Rivals
- Department of Computer Science, LIRMM, CNRS et Université de Montpellier, Montpellier, 34095, France.,Institut de Biologie Computationnelle (IBC), Université de Montpellier, Montpellier, 34095, France
| | - Karen Adelman
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, 27709, USA. .,Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.
| | - Raja Jothi
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, Durham, NC, 27709, USA.
| |
Collapse
|
13
|
Nguyen TAT, Grimm SA, Bushel PR, Li J, Li Y, Bennett BD, Lavender CA, Ward JM, Fargo DC, Anderson CW, Li L, Resnick MA, Menendez D. Revealing a human p53 universe. Nucleic Acids Res 2019; 46:8153-8167. [PMID: 30107566 PMCID: PMC6144829 DOI: 10.1093/nar/gky720] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [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: 03/16/2018] [Accepted: 07/27/2018] [Indexed: 12/13/2022] Open
Abstract
p53 transcriptional networks are well-characterized in many organisms. However, a global understanding of requirements for in vivo p53 interactions with DNA and relationships with transcription across human biological systems in response to various p53 activating situations remains limited. Using a common analysis pipeline, we analyzed 41 data sets from genome-wide ChIP-seq studies of which 16 have associated gene expression data, including our recent primary data with normal human lymphocytes. The resulting extensive analysis, accessible at p53 BAER hub via the UCSC browser, provides a robust platform to characterize p53 binding throughout the human genome including direct influence on gene expression and underlying mechanisms. We establish the impact of spacers and mismatches from consensus on p53 binding in vivo and propose that once bound, neither significantly influences the likelihood of expression. Our rigorous approach revealed a large p53 genome-wide cistrome composed of >900 genes directly targeted by p53. Importantly, we identify a core cistrome signature composed of genes appearing in over half the data sets, and we identify signatures that are treatment- or cell-specific, demonstrating new functions for p53 in cell biology. Our analysis reveals a broad homeostatic role for human p53 that is relevant to both basic and translational studies.
Collapse
Affiliation(s)
- Thuy-Ai T Nguyen
- Genome Integrity & Structural Biology Laboratory, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Sara A Grimm
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Pierre R Bushel
- Biostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Jianying Li
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Yuanyuan Li
- Biostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Brian D Bennett
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Christopher A Lavender
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - James M Ward
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - David C Fargo
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA.,Office of Scientific Computing, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Carl W Anderson
- Genome Integrity & Structural Biology Laboratory, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Leping Li
- Biostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Michael A Resnick
- Genome Integrity & Structural Biology Laboratory, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Daniel Menendez
- Genome Integrity & Structural Biology Laboratory, National Institute of Environmental Health Sciences/National Institutes of Health, Research Triangle Park, NC 27709, USA
| |
Collapse
|
14
|
Fu H, Wang L, Wang J, Bennett BD, Li JL, Zhao B, Hu G. Dioxin and AHR impairs mesoderm gene expression and cardiac differentiation in human embryonic stem cells. Sci Total Environ 2019; 651:1038-1046. [PMID: 30266049 PMCID: PMC6547817 DOI: 10.1016/j.scitotenv.2018.09.247] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 09/18/2018] [Accepted: 09/19/2018] [Indexed: 05/21/2023]
Abstract
Dioxin and dioxin-related polychlorinated biphenyls are potent toxicants with association with developmental heart defects and congenital heart diseases. However, the underlying mechanism of their developmental toxicity is not fully understood. Further, different animals show distinct susceptibility and phenotypes after exposure, suggesting possible species-specific effects. Using a human embryonic stem cell (ESC) cardiomyocyte differentiation model, we examined the impact, susceptible window, and dosage of 2,3,7,8‑tetrachlorodibenzo‑p‑dioxin (TCDD) on human cardiac development. We showed that treatment of human ESCs with TCDD at the ESC stage inhibits cardiomyocyte differentiation, and the effect is largely mediated by the aryl hydrocarbon receptor (AHR). We further identified genes that are differentially expressed after TCDD treatment by RNA-sequencing, and genomic regions that are occupied by AHR by chromatin immunoprecipitation and high-throughput sequencing. Our results support the model that TCDD impairs human ESC cardiac differentiation by promoting AHR binding and repression of key mesoderm genes. More importantly, our study demonstrates the toxicity of dioxin in human embryonic development and uncovered a novel mechanism by which dioxin and AHR regulates lineage commitment. It also illustrates the power of ESC-based models in the systematic study of developmental toxicology.
Collapse
Affiliation(s)
- Hualing Fu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China
| | - Li Wang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiajia Wang
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Brian D Bennett
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Jian-Liang Li
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Bin Zhao
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China.
| | - Guang Hu
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA.
| |
Collapse
|
15
|
Reese SE, Xu CJ, den Dekker HT, Lee MK, Sikdar S, Ruiz-Arenas C, Merid SK, Rezwan FI, Page CM, Ullemar V, Melton PE, Oh SS, Yang IV, Burrows K, Söderhäll C, Jima DD, Gao L, Arathimos R, Küpers LK, Wielscher M, Rzehak P, Lahti J, Laprise C, Madore AM, Ward J, Bennett BD, Wang T, Bell DA, Vonk JM, Håberg SE, Zhao S, Karlsson R, Hollams E, Hu D, Richards AJ, Bergström A, Sharp GC, Felix JF, Bustamante M, Gruzieva O, Maguire RL, Gilliland F, Baïz N, Nohr EA, Corpeleijn E, Sebert S, Karmaus W, Grote V, Kajantie E, Magnus MC, Örtqvist AK, Eng C, Liu AH, Kull I, Jaddoe VWV, Sunyer J, Kere J, Hoyo C, Annesi-Maesano I, Arshad SH, Koletzko B, Brunekreef B, Binder EB, Räikkönen K, Reischl E, Holloway JW, Jarvelin MR, Snieder H, Kazmi N, Breton CV, Murphy SK, Pershagen G, Anto JM, Relton CL, Schwartz DA, Burchard EG, Huang RC, Nystad W, Almqvist C, Henderson AJ, Melén E, Duijts L, Koppelman GH, London SJ. Epigenome-wide meta-analysis of DNA methylation and childhood asthma. J Allergy Clin Immunol 2018; 143:2062-2074. [PMID: 30579849 DOI: 10.1016/j.jaci.2018.11.043] [Citation(s) in RCA: 120] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 10/01/2018] [Accepted: 11/16/2018] [Indexed: 12/22/2022]
Abstract
BACKGROUND Epigenetic mechanisms, including methylation, can contribute to childhood asthma. Identifying DNA methylation profiles in asthmatic patients can inform disease pathogenesis. OBJECTIVE We sought to identify differential DNA methylation in newborns and children related to childhood asthma. METHODS Within the Pregnancy And Childhood Epigenetics consortium, we performed epigenome-wide meta-analyses of school-age asthma in relation to CpG methylation (Illumina450K) in blood measured either in newborns, in prospective analyses, or cross-sectionally in school-aged children. We also identified differentially methylated regions. RESULTS In newborns (8 cohorts, 668 cases), 9 CpGs (and 35 regions) were differentially methylated (epigenome-wide significance, false discovery rate < 0.05) in relation to asthma development. In a cross-sectional meta-analysis of asthma and methylation in children (9 cohorts, 631 cases), we identified 179 CpGs (false discovery rate < 0.05) and 36 differentially methylated regions. In replication studies of methylation in other tissues, most of the 179 CpGs discovered in blood replicated, despite smaller sample sizes, in studies of nasal respiratory epithelium or eosinophils. Pathway analyses highlighted enrichment for asthma-relevant immune processes and overlap in pathways enriched both in newborns and children. Gene expression correlated with methylation at most loci. Functional annotation supports a regulatory effect on gene expression at many asthma-associated CpGs. Several implicated genes are targets for approved or experimental drugs, including IL5RA and KCNH2. CONCLUSION Novel loci differentially methylated in newborns represent potential biomarkers of risk of asthma by school age. Cross-sectional associations in children can reflect both risk for and effects of disease. Asthma-related differential methylation in blood in children was substantially replicated in eosinophils and respiratory epithelium.
Collapse
Affiliation(s)
- Sarah E Reese
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC
| | - Cheng-Jian Xu
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; GRIAC Research Institute, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Herman T den Dekker
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Pediatrics, Division of Respiratory Medicine and Allergology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Mi Kyeong Lee
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC
| | - Sinjini Sikdar
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC
| | - Carlos Ruiz-Arenas
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Simon K Merid
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Faisal I Rezwan
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Christian M Page
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway; Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | - Vilhelmina Ullemar
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Phillip E Melton
- Curtin/UWA Centre for Genetic Origins of Health and Disease, Faculty of Health and Medical Sciences, University of Western Australia, Crawley, Australia; School of Pharmacy and Biomedical Sciences, Curtin University, Bentley, Australia
| | - Sam S Oh
- Department of Medicine, University of California San Francisco, San Francisco, Calif
| | - Ivana V Yang
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo
| | - Kimberley Burrows
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Cilla Söderhäll
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden; Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Dereje D Jima
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC; Center for Human Health and the Environment, North Carolina State University, Raleigh, NC
| | - Lu Gao
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, Calif
| | - Ryan Arathimos
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Leanne K Küpers
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Matthias Wielscher
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London, United Kingdom
| | - Peter Rzehak
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Jari Lahti
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland; Helsinki Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland
| | - Catherine Laprise
- Centre intégré universitaire de santé et de services sociaux du Saguenay, Saguenay, Quebec, Canada; Département des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, Quebec, Canada
| | - Anne-Marie Madore
- Département des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, Quebec, Canada
| | - James Ward
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC
| | - Brian D Bennett
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC
| | - Tianyuan Wang
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC
| | - Douglas A Bell
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC
| | | | - Judith M Vonk
- GRIAC Research Institute, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Siri E Håberg
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Shanshan Zhao
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Elysia Hollams
- Telethon Kids Institute, University of Western Australia, Perth, Australia
| | - Donglei Hu
- Department of Medicine, University of California San Francisco, San Francisco, Calif
| | - Adam J Richards
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo
| | - Anna Bergström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Gemma C Sharp
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; Bristol Dental School, University of Bristol, Bristol, United Kingdom
| | - Janine F Felix
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Mariona Bustamante
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Center for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Olena Gruzieva
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Rachel L Maguire
- Department of Biological Sciences, North Carolina State University, Raleigh, NC; Department of Community and Family Medicine, Duke University Medical Center, Durham, NC
| | - Frank Gilliland
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, Calif
| | - Nour Baïz
- Epidemiology of Allergic and Respiratory Diseases Department, IPLESP, INSERM and UPMC Sorbonne Université, Paris, France
| | - Ellen A Nohr
- Research Unit for Gynaecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Eva Corpeleijn
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sylvain Sebert
- Biocenter Oulu, University of Oulu, Oulu, Finland; Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland; Department of Genomics of Complex Diseases, School of Public Health, Imperial College London, London, United Kingdom
| | - Wilfried Karmaus
- Division of Epidemiology, Biostatistics and Environmental Health, School of Public Health, University of Memphis, Memphis, Tenn
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Eero Kajantie
- Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland; Department of Obstetrics and Gynaecology, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland; Hospital for Children and Adolescents, Helsinki University Central Hospital and University of Helsinki, Helsinki, Finland
| | - Maria C Magnus
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Anne K Örtqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Celeste Eng
- Department of Medicine, University of California San Francisco, San Francisco, Calif
| | | | - Inger Kull
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden; Sachs' Children's Hospital, Södersjukhuset, Stockholm, Sweden
| | - Vincent W V Jaddoe
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jordi Sunyer
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden; Department of Medical and Molecular Genetics, King's College London, London, United Kingdom
| | - Cathrine Hoyo
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC; Department of Biological Sciences, North Carolina State University, Raleigh, NC
| | - Isabella Annesi-Maesano
- Epidemiology of Allergic and Respiratory Diseases Department, IPLESP, INSERM and UPMC Sorbonne Université, Paris, France
| | - Syed Hasan Arshad
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom; David Hide Asthma and Allergy Research Centre, Isle of Wight, United Kingdom
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Elisabeth B Binder
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Ga; Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Katri Räikkönen
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Eva Reischl
- Research Unit of Molecular Epidemiology, Institute of Epidemiology II, Helmholtz Zentrum Muenchen, Munich, Germany
| | - John W Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom; Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London, United Kingdom; Biocenter Oulu, University of Oulu, Oulu, Finland; Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Nabila Kazmi
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Carrie V Breton
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, Calif
| | - Susan K Murphy
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC; Nicholas School of the Environment, Duke University, Durham, NC
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Josep Maria Anto
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Caroline L Relton
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - David A Schwartz
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo
| | - Esteban G Burchard
- Department of Medicine, University of California San Francisco, San Francisco, Calif; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, Calif
| | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia, Perth, Australia
| | - Wenche Nystad
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - A John Henderson
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Erik Melén
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Sachs' Children's Hospital, Södersjukhuset, Stockholm, Sweden
| | - Liesbeth Duijts
- Department of Pediatrics, Division of Respiratory Medicine and Allergology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Pediatrics, Division of Neonatology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Gerard H Koppelman
- Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; GRIAC Research Institute, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Stephanie J London
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC.
| |
Collapse
|
16
|
Wan M, Bennett BD, Pittman GS, Campbell MR, Reynolds LM, Porter DK, Crowl CL, Wang X, Su D, Englert NA, Thompson IJ, Liu Y, Bell DA. Identification of Smoking-Associated Differentially Methylated Regions Using Reduced Representation Bisulfite Sequencing and Cell type-Specific Enhancer Activation and Gene Expression. Environ Health Perspect 2018; 126:047015. [PMID: 29706059 PMCID: PMC6071796 DOI: 10.1289/ehp2395] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Revised: 03/22/2018] [Accepted: 03/22/2018] [Indexed: 05/23/2023]
Abstract
BACKGROUND Cigarette smoke is a causal factor in cancers and cardiovascular disease. Smoking-associated differentially methylated regions (SM-DMRs) have been observed in disease studies, but the causal link between altered DNA methylation and transcriptional change is obscure. OBJECTIVE Our objectives were to finely resolve SM-DMRs and to interrogate the mechanistic link between SM-DMRs and altered transcription of enhancer noncoding RNA (eRNA) and mRNA in human circulating monocytes. METHOD We integrated SM-DMRs identified by reduced representation bisulfite sequencing (RRBS) of circulating CD14+ monocyte DNA collected from two independent human studies [n=38 from Clinical Research Unit (CRU) and n=55 from the Multi-Ethnic Study of Atherosclerosis (MESA), about half of whom were active smokers] with gene expression for protein-coding genes and noncoding RNAs measured by RT-PCR or RNA sequencing. Candidate SM-DMRs were compared with RRBS of purified CD4+ T cells, CD8+ T cells, CD15+ granulocytes, CD19+ B cells, and CD56+ NK cells (n=19 females, CRU). DMRs were validated using pyrosequencing or bisulfite amplicon sequencing in up to 85 CRU volunteers, who also provided saliva DNA. RESULTS RRBS identified monocyte SM-DMRs frequently located in putative gene regulatory regions. The most significant monocyte DMR occurred at a poised enhancer in the aryl-hydrocarbon receptor repressor gene (AHRR) and it was also detected in both granulocytes and saliva DNA. To our knowledge, we identify for the first time that SM-DMRs in or near AHRR, C5orf55-EXOC-AS, and SASH1 were associated with increased noncoding eRNA as well as mRNA in monocytes. Functionally, the AHRR SM-DMR appeared to up-regulate AHRR mRNA through activating the AHRR enhancer, as suggested by increased eRNA in the monocytes, but not granulocytes, from smokers compared with nonsmokers. CONCLUSIONS Our findings suggest that AHRR SM-DMR up-regulates AHRR mRNA in a monocyte-specific manner by activating the AHRR enhancer. Cell type-specific activation of enhancers at SM-DMRs may represent a mechanism driving smoking-related disease. https://doi.org/10.1289/EHP2395.
Collapse
Affiliation(s)
- Ma Wan
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| | - Brian D Bennett
- Integrative Bioinformatics Support Group, NIEHS, NIH, DHHS, Research Triangle Park, North Carolina, USA
| | - Gary S Pittman
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| | - Michelle R Campbell
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| | - Lindsay M Reynolds
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Devin K Porter
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| | - Christopher L Crowl
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| | - Xuting Wang
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| | - Dan Su
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| | - Neal A Englert
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| | - Isabel J Thompson
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Douglas A Bell
- Environmental Epigenomics and Disease Group, Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| |
Collapse
|
17
|
Takaku M, Grimm SA, Roberts JD, Chrysovergis K, Bennett BD, Myers P, Perera L, Tucker CJ, Perou CM, Wade PA. GATA3 zinc finger 2 mutations reprogram the breast cancer transcriptional network. Nat Commun 2018. [PMID: 29535312 PMCID: PMC5849768 DOI: 10.1038/s41467-018-03478-4] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [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] [Indexed: 01/12/2023] Open
Abstract
GATA3 is frequently mutated in breast cancer; these mutations are widely presumed to be loss-of function despite a dearth of information regarding their effect on disease course or their mechanistic impact on the breast cancer transcriptional network. Here, we address molecular and clinical features associated with GATA3 mutations. A novel classification scheme defines distinct clinical features for patients bearing breast tumors with mutations in the second GATA3 zinc-finger (ZnFn2). An engineered ZnFn2 mutant cell line by CRISPR–Cas9 reveals that mutation of one allele of the GATA3 second zinc finger (ZnFn2) leads to loss of binding and decreased expression at a subset of genes, including Progesterone Receptor. At other loci, associated with epithelial to mesenchymal transition, gain of binding correlates with increased gene expression. These results demonstrate that not all GATA3 mutations are equivalent and that ZnFn2 mutations impact breast cancer through gain and loss-of function. In breast cancer GATA3 is known to be frequently mutated, but the function of these mutations is unclear. Here, the authors utilise CRISPR-Cas9 to model frame-shift mutations in zinc finger 2 of GATA3, highlighting that GATA3 mutation can have gain- or loss-of function effects in breast cancer.
Collapse
Affiliation(s)
- Motoki Takaku
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, 27709, USA
| | - Sara A Grimm
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, 27709, USA
| | - John D Roberts
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, 27709, USA
| | - Kaliopi Chrysovergis
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, 27709, USA
| | - Brian D Bennett
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, 27709, USA
| | - Page Myers
- Comparative Medicine Branch, National Institute of Environmental Health Sciences, Research Triangle Park, 27709, Durham, NC, USA
| | - Lalith Perera
- Laboratory of Genome Integrity and Structural Biology, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, 27709, USA
| | - Charles J Tucker
- Fluorescence Microscopy and Imaging Center, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, 27709, USA
| | - Charles M Perou
- Lineberger Comprehensive Cancer Center and Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Paul A Wade
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, 27709, USA.
| |
Collapse
|
18
|
Li P, Wang L, Bennett BD, Wang J, Li J, Qin Y, Takaku M, Wade PA, Wong J, Hu G. Rif1 promotes a repressive chromatin state to safeguard against endogenous retrovirus activation. Nucleic Acids Res 2018; 45:12723-12738. [PMID: 29040764 PMCID: PMC5727408 DOI: 10.1093/nar/gkx884] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2017] [Accepted: 10/05/2017] [Indexed: 12/29/2022] Open
Abstract
Transposable elements, including endogenous retroviruses (ERVs), constitute a large fraction of the mammalian genome. They are transcriptionally silenced during early development to protect genome integrity and aberrant transcription. However, the mechanisms that control their repression are not fully understood. To systematically study ERV repression, we carried out an RNAi screen in mouse embryonic stem cells (ESCs) and identified a list of novel regulators. Among them, Rif1 displays the strongest effect. Rif1 depletion by RNAi or gene deletion led to increased transcription and increased chromatin accessibility at ERV regions and their neighboring genes. This transcriptional de-repression becomes more severe when DNA methylation is lost. On the mechanistic level, Rif1 directly occupies ERVs and is required for repressive histone mark H3K9me3 and H3K27me3 assembly and DNA methylation. It interacts with histone methyltransferases and facilitates their recruitment to ERV regions. Importantly, Rif1 represses ERVs in human ESCs as well, and the evolutionally-conserved HEAT-like domain is essential for its function. Finally, Rif1 acts as a barrier during somatic cell reprogramming, and its depletion significantly enhances reprogramming efficiency. Together, our study uncovered many previously uncharacterized repressors of ERVs, and defined an essential role of Rif1 in the epigenetic defense against ERV activation.
Collapse
Affiliation(s)
- Pishun Li
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, RTP, NC 27709, USA
| | - Li Wang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Brian D. Bennett
- Integrative Bioinformatics Support Group, National Institute of Environmental Health Sciences, RTP, NC 27709, USA
| | - Jiajia Wang
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, RTP, NC 27709, USA
| | - Jialun Li
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Yufeng Qin
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, RTP, NC 27709, USA
| | - Motoki Takaku
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, RTP, NC 27709, USA
| | - Paul A. Wade
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, RTP, NC 27709, USA
| | - Jiemin Wong
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Guang Hu
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, RTP, NC 27709, USA
- To whom correspondence should be addressed. Tel: +1 919 541 4755; Fax: +1 919 541 0146;
| |
Collapse
|
19
|
Lavender CA, Shapiro AJ, Burkholder AB, Bennett BD, Adelman K, Fargo DC. ORIO (Online Resource for Integrative Omics): a web-based platform for rapid integration of next generation sequencing data. Nucleic Acids Res 2017; 45:5678-5690. [PMID: 28402545 PMCID: PMC5449597 DOI: 10.1093/nar/gkx270] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [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: 01/10/2017] [Accepted: 04/05/2017] [Indexed: 11/14/2022] Open
Abstract
Established and emerging next generation sequencing (NGS)-based technologies allow for genome-wide interrogation of diverse biological processes. However, accessibility of NGS data remains a problem, and few user-friendly resources exist for integrative analysis of NGS data from different sources and experimental techniques. Here, we present Online Resource for Integrative Omics (ORIO; https://orio.niehs.nih.gov/), a web-based resource with an intuitive user interface for rapid analysis and integration of NGS data. To use ORIO, the user specifies NGS data of interest along with a list of genomic coordinates. Genomic coordinates may be biologically relevant features from a variety of sources, such as ChIP-seq peaks for a given protein or transcription start sites from known gene models. ORIO first iteratively finds read coverage values at each genomic feature for each NGS dataset. Data are then integrated using clustering-based approaches, giving hierarchical relationships across NGS datasets and separating individual genomic features into groups. In focusing its analysis on read coverage, ORIO makes limited assumptions about the analyzed data; this allows the tool to be applied across data from a variety of experiments and techniques. Results from analysis are presented in dynamic displays alongside user-controlled statistical tests, supporting rapid statistical validation of observed results. We emphasize the versatility of ORIO through diverse examples, ranging from NGS data quality control to characterization of enhancer regions and integration of gene expression information. Easily accessible on a public web server, we anticipate wide use of ORIO in genome-wide investigations by life scientists.
Collapse
Affiliation(s)
- Christopher A Lavender
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Andrew J Shapiro
- Program Operations Branch, Division of the National Toxicology Program, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Adam B Burkholder
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Brian D Bennett
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Karen Adelman
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA.,Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - David C Fargo
- Office of Scientific Computing, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
| |
Collapse
|
20
|
Su D, Wang X, Campbell MR, Porter DK, Pittman GS, Bennett BD, Wan M, Englert NA, Crowl CL, Gimple RC, Adamski KN, Huang Z, Murphy SK, Bell DA. Correction: Distinct Epigenetic Effects of Tobacco Smoking in Whole Blood and among Leukocyte Subtypes. PLoS One 2017; 12:e0178308. [PMID: 28545091 PMCID: PMC5435360 DOI: 10.1371/journal.pone.0178308] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
[This corrects the article DOI: 10.1371/journal.pone.0166486.].
Collapse
|
21
|
Zhou B, Wang L, Zhang S, Bennett BD, He F, Zhang Y, Xiong C, Han L, Diao L, Li P, Fargo DC, Cox AD, Hu G. INO80 governs superenhancer-mediated oncogenic transcription and tumor growth in melanoma. Genes Dev 2017; 30:1440-53. [PMID: 27340176 PMCID: PMC4926866 DOI: 10.1101/gad.277178.115] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [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: 12/31/2015] [Accepted: 05/23/2016] [Indexed: 01/01/2023]
Abstract
Here, Zhou et al. investigated how oncogenic superenhancers (SE), which are found near oncogenes and control cancer gene expression, are regulated. The results demonstrate an essential role for INO80-dependent chromatin remodeling in SE function by showing that INO80 is required for SE-mediated oncogenic transcription and tumor growth in melanoma. Superenhancers (SEs) are large genomic regions with a high density of enhancer marks. In cancer, SEs are found near oncogenes and dictate cancer gene expression. However, how oncogenic SEs are regulated remains poorly understood. Here, we show that INO80, a chromatin remodeling complex, is required for SE-mediated oncogenic transcription and tumor growth in melanoma. The expression of Ino80, the SWI/SNF ATPase, is elevated in melanoma cells and patient melanomas compared with normal melanocytes and benign nevi. Furthermore, Ino80 silencing selectively inhibits melanoma cell proliferation, anchorage-independent growth, tumorigenesis, and tumor maintenance in mouse xenografts. Mechanistically, Ino80 occupies >90% of SEs, and its occupancy is dependent on transcription factors such as MITF and Sox9. Ino80 binding reduces nucleosome occupancy and facilitates Mediator recruitment, thus promoting oncogenic transcription. Consistently, genes co-occupied by Ino80 and Med1 are selectively expressed in melanomas compared with melanocytes. Together, our results reveal an essential role of INO80-dependent chromatin remodeling in SE function and suggest a novel strategy for disrupting SEs in cancer treatment.
Collapse
Affiliation(s)
- Bingying Zhou
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Pharmacology, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - Li Wang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709, USA
| | - Shu Zhang
- Department of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing 100853, China
| | - Brian D Bennett
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709, USA
| | - Fan He
- Department of Nephrology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yan Zhang
- Family Planning Research Institute, Center of Reproductive Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Chengliang Xiong
- Family Planning Research Institute, Center of Reproductive Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Leng Han
- Department of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, Texas 77030, USA
| | - Lixia Diao
- Department of Bioinformatics and Computational Biology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030, USA
| | - Pishun Li
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709, USA
| | - David C Fargo
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709, USA
| | - Adrienne D Cox
- Department of Pharmacology, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA; Department of Radiation Oncology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - Guang Hu
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709, USA
| |
Collapse
|
22
|
Abstract
Background Over-representation analysis (ORA) detects enrichment of genes within biological categories. Gene Ontology (GO) domains are commonly used for gene/gene-product annotation. When ORA is employed, often times there are hundreds of statistically significant GO terms per gene set. Comparing enriched categories between a large number of analyses and identifying the term within the GO hierarchy with the most connections is challenging. Furthermore, ascertaining biological themes representative of the samples can be highly subjective from the interpretation of the enriched categories. Results We developed goSTAG for utilizing GO Subtrees to Tag and Annotate Genes that are part of a set. Given gene lists from microarray, RNA sequencing (RNA-Seq) or other genomic high-throughput technologies, goSTAG performs GO enrichment analysis and clusters the GO terms based on the p-values from the significance tests. GO subtrees are constructed for each cluster, and the term that has the most paths to the root within the subtree is used to tag and annotate the cluster as the biological theme. We tested goSTAG on a microarray gene expression data set of samples acquired from the bone marrow of rats exposed to cancer therapeutic drugs to determine whether the combination or the order of administration influenced bone marrow toxicity at the level of gene expression. Several clusters were labeled with GO biological processes (BPs) from the subtrees that are indicative of some of the prominent pathways modulated in bone marrow from animals treated with an oxaliplatin/topotecan combination. In particular, negative regulation of MAP kinase activity was the biological theme exclusively in the cluster associated with enrichment at 6 h after treatment with oxaliplatin followed by control. However, nucleoside triphosphate catabolic process was the GO BP labeled exclusively at 6 h after treatment with topotecan followed by control. Conclusions goSTAG converts gene lists from genomic analyses into biological themes by enriching biological categories and constructing GO subtrees from over-represented terms in the clusters. The terms with the most paths to the root in the subtree are used to represent the biological themes. goSTAG is developed in R as a Bioconductor package and is available at https://bioconductor.org/packages/goSTAG Electronic supplementary material The online version of this article (doi:10.1186/s13029-017-0066-1) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Brian D Bennett
- Integrative Bioinformatics Group, National Institute of Environmental Health Sciences, Research Triangle Park, 27709 NC USA.,Microarray and Genome Informatics Group, National Institute of Environmental Health Sciences, 111 T.W. Alexander Drive, Research Triangle Park, 27709 NC USA
| | - Pierre R Bushel
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, 27709 NC USA.,Microarray and Genome Informatics Group, National Institute of Environmental Health Sciences, 111 T.W. Alexander Drive, Research Triangle Park, 27709 NC USA
| |
Collapse
|
23
|
Su D, Wang X, Campbell MR, Porter DK, Pittman GS, Bennett BD, Wan M, Englert NA, Crowl CL, Gimple RN, Adamski KN, Huang Z, Murphy SK, Bell DA. Distinct Epigenetic Effects of Tobacco Smoking in Whole Blood and among Leukocyte Subtypes. PLoS One 2016; 11:e0166486. [PMID: 27935972 PMCID: PMC5147832 DOI: 10.1371/journal.pone.0166486] [Citation(s) in RCA: 86] [Impact Index Per Article: 10.8] [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: 08/29/2016] [Accepted: 10/28/2016] [Indexed: 12/13/2022] Open
Abstract
Tobacco smoke exposure dramatically alters DNA methylation in blood cells and may mediate smoking-associated complex diseases through effects on immune cell function. However, knowledge of smoking effects in specific leukocyte subtypes is limited. To better characterize smoking-associated methylation changes in whole blood and leukocyte subtypes, we used Illumina 450K arrays and Reduced Representation Bisulfite Sequencing (RRBS) to assess genome-wide DNA methylation. Differential methylation analysis in whole blood DNA from 172 smokers and 81 nonsmokers revealed 738 CpGs, including 616 previously unreported CpGs, genome-wide significantly associated with current smoking (p <1.2x10-7, Bonferroni correction). Several CpGs (MTSS1, NKX6-2, BTG2) were associated with smoking duration among heavy smokers (>22 cigarettes/day, n = 86) which might relate to long-term heavy-smoking pathology. In purified leukocyte subtypes from an independent group of 20 smokers and 14 nonsmokers we further examined methylation and gene expression for selected genes among CD14+ monocytes, CD15+ granulocytes, CD19+ B cells, and CD2+ T cells. In 10 smokers and 10 nonsmokers we used RRBS to fine map differential methylation in CD4+ T cells, CD8+ T cells, CD14+, CD15+, CD19+, and CD56+ natural killer cells. Distinct cell-type differences in smoking-associated methylation and gene expression were identified. AHRR (cg05575921), ALPPL2 (cg21566642), GFI1 (cg09935388), IER3 (cg06126421) and F2RL3 (cg03636183) showed a distinct pattern of significant smoking-associated methylation differences across cell types: granulocytes> monocytes>> B cells. In contrast GPR15 (cg19859270) was highly significant in T and B cells and ITGAL (cg09099830) significant only in T cells. Numerous other CpGs displayed distinctive cell-type responses to tobacco smoke exposure that were not apparent in whole blood DNA. Assessing the overlap between these CpG sites and differential methylated regions (DMRs) with RRBS in 6 cell types, we confirmed cell-type specificity in the context of DMRs. We identified new CpGs associated with current smoking, pack-years, duration, and revealed unique profiles of smoking-associated DNA methylation and gene expression among immune cell types, providing potential clues to hematopoietic lineage-specific effects in disease etiology.
Collapse
Affiliation(s)
- Dan Su
- Environmental Genomics Group, Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, United States of America
| | - Xuting Wang
- Environmental Genomics Group, Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, United States of America
| | - Michelle R Campbell
- Environmental Genomics Group, Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, United States of America
| | - Devin K Porter
- Environmental Genomics Group, Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, United States of America
| | - Gary S Pittman
- Environmental Genomics Group, Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, United States of America
| | - Brian D Bennett
- Integrated Bioinformatics, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, United States of America
| | - Ma Wan
- Environmental Genomics Group, Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, United States of America
| | - Neal A Englert
- Environmental Genomics Group, Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, United States of America
| | - Christopher L Crowl
- Environmental Genomics Group, Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, United States of America
| | - Ryan N Gimple
- Environmental Genomics Group, Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, United States of America
| | - Kelly N Adamski
- Environmental Genomics Group, Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, United States of America
| | - Zhiqing Huang
- Duke University School of Medicine, Durham, NC, 27708, United States of America
| | - Susan K Murphy
- Duke University School of Medicine, Durham, NC, 27708, United States of America
| | - Douglas A Bell
- Environmental Genomics Group, Genome Integrity and Structural Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, 27709, United States of America
| |
Collapse
|
24
|
Lavender CA, Cannady KR, Hoffman JA, Trotter KW, Gilchrist DA, Bennett BD, Burkholder AB, Burd CJ, Fargo DC, Archer TK. Downstream Antisense Transcription Predicts Genomic Features That Define the Specific Chromatin Environment at Mammalian Promoters. PLoS Genet 2016; 12:e1006224. [PMID: 27487356 PMCID: PMC4972320 DOI: 10.1371/journal.pgen.1006224] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [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: 01/14/2016] [Accepted: 07/06/2016] [Indexed: 01/23/2023] Open
Abstract
Antisense transcription is a prevalent feature at mammalian promoters. Previous studies have primarily focused on antisense transcription initiating upstream of genes. Here, we characterize promoter-proximal antisense transcription downstream of gene transcription starts sites in human breast cancer cells, investigating the genomic context of downstream antisense transcription. We find extensive correlations between antisense transcription and features associated with the chromatin environment at gene promoters. Antisense transcription downstream of promoters is widespread, with antisense transcription initiation observed within 2 kb of 28% of gene transcription start sites. Antisense transcription initiates between nucleosomes regularly positioned downstream of these promoters. The nucleosomes between gene and downstream antisense transcription start sites carry histone modifications associated with active promoters, such as H3K4me3 and H3K27ac. This region is bound by chromatin remodeling and histone modifying complexes including SWI/SNF subunits and HDACs, suggesting that antisense transcription or resulting RNA transcripts contribute to the creation and maintenance of a promoter-associated chromatin environment. Downstream antisense transcription overlays additional regulatory features, such as transcription factor binding, DNA accessibility, and the downstream edge of promoter-associated CpG islands. These features suggest an important role for antisense transcription in the regulation of gene expression and the maintenance of a promoter-associated chromatin environment. Gene transcription is regulated by the coordinated interaction of genetic, epigenetic and trans-acting factors. The chromatin environment at gene promoters, including positioned nucleosomes that may display functional histone modifications, is a key regulator of gene expression, contributing to transcriptional activation and repression. In addition to sense-strand transcription of gene sequences, antisense transcription is prevalent at gene promoters. Often resulting in a short-lived non-coding RNA transcript, the function of antisense transcription is poorly understood. Using next-generation sequencing techniques, we characterized transcription in human breast cancer cells and found extensive correlations between antisense transcription and the chromatin environment at promoters. We found that downstream antisense transcription initiates from between regularly positioned nucleosomes and that those nucleosomes between sense and downstream antisense transcription start sites display histone modifications associated with active gene promoters. Chromatin remodelers and other protein complexes responsible for creation and maintenance of the promoter chromatin environment associate with this same region, suggesting an important role of antisense transcription in the regulation of gene expression.
Collapse
Affiliation(s)
- Christopher A Lavender
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, United States of America.,Integrative Bioinformatics, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, United States of America
| | - Kimberly R Cannady
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, United States of America
| | - Jackson A Hoffman
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, United States of America
| | - Kevin W Trotter
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, United States of America
| | - Daniel A Gilchrist
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, United States of America
| | - Brian D Bennett
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, United States of America
| | - Adam B Burkholder
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, United States of America
| | - Craig J Burd
- Department of Molecular Genetics, The Ohio State University, Columbus, Ohio, United States of America.,Wexner Medical Center, The Ohio State University, Columbus, Ohio, United States of America
| | - David C Fargo
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, United States of America
| | - Trevor K Archer
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, United States of America
| |
Collapse
|
25
|
Borkent M, Bennett BD, Lackford B, Bar-Nur O, Brumbaugh J, Wang L, Du Y, Fargo DC, Apostolou E, Cheloufi S, Maherali N, Elledge SJ, Hu G, Hochedlinger K. A Serial shRNA Screen for Roadblocks to Reprogramming Identifies the Protein Modifier SUMO2. Stem Cell Reports 2016; 6:704-716. [PMID: 26947976 PMCID: PMC4939549 DOI: 10.1016/j.stemcr.2016.02.004] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [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: 07/02/2015] [Revised: 02/04/2016] [Accepted: 02/04/2016] [Indexed: 11/25/2022] Open
Abstract
The generation of induced pluripotent stem cells (iPSCs) from differentiated cells following forced expression of OCT4, KLF4, SOX2, and C-MYC (OKSM) is slow and inefficient, suggesting that transcription factors have to overcome somatic barriers that resist cell fate change. Here, we performed an unbiased serial shRNA enrichment screen to identify potent repressors of somatic cell reprogramming into iPSCs. This effort uncovered the protein modifier SUMO2 as one of the strongest roadblocks to iPSC formation. Depletion of SUMO2 both enhances and accelerates reprogramming, yielding transgene-independent, chimera-competent iPSCs after as little as 38 hr of OKSM expression. We further show that the SUMO2 pathway acts independently of exogenous C-MYC expression and in parallel with small-molecule enhancers of reprogramming. Importantly, suppression of SUMO2 also promotes the generation of human iPSCs. Together, our results reveal sumoylation as a crucial post-transcriptional mechanism that resists the acquisition of pluripotency from fibroblasts using defined factors. Genome-wide serial shRNA screen identifies novel barriers to reprogramming Suppression of sumoylation factor SUMO2 enhances reprogramming in mouse and human SUMO2 suppression works in concert with small molecules and in the absence of c-Myc SUMO2 suppression enables iPSC generation after only 38 hr of OKSM expression
Collapse
Affiliation(s)
- Marti Borkent
- Department of Molecular Biology, Center for Regenerative Medicine and Cancer Center, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Brian D Bennett
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Brad Lackford
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Ori Bar-Nur
- Department of Molecular Biology, Center for Regenerative Medicine and Cancer Center, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Justin Brumbaugh
- Department of Molecular Biology, Center for Regenerative Medicine and Cancer Center, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Li Wang
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Ying Du
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - David C Fargo
- Integrative Bioinformatics, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Effie Apostolou
- Department of Molecular Biology, Center for Regenerative Medicine and Cancer Center, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Sihem Cheloufi
- Department of Molecular Biology, Center for Regenerative Medicine and Cancer Center, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Nimet Maherali
- Department of Molecular Biology, Center for Regenerative Medicine and Cancer Center, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Stephen J Elledge
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA; Department of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Guang Hu
- Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA.
| | - Konrad Hochedlinger
- Department of Molecular Biology, Center for Regenerative Medicine and Cancer Center, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA.
| |
Collapse
|
26
|
Reynolds LM, Wan M, Ding J, Taylor JR, Lohman K, Su D, Bennett BD, Porter DK, Gimple R, Pittman GS, Wang X, Howard TD, Siscovick D, Psaty BM, Shea S, Burke GL, Jacobs DR, Rich SS, Hixson JE, Stein JH, Stunnenberg H, Barr RG, Kaufman JD, Post WS, Hoeschele I, Herrington DM, Bell DA, Liu Y. DNA Methylation of the Aryl Hydrocarbon Receptor Repressor Associations With Cigarette Smoking and Subclinical Atherosclerosis. ACTA ACUST UNITED AC 2015; 8:707-16. [PMID: 26307030 DOI: 10.1161/circgenetics.115.001097] [Citation(s) in RCA: 90] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2015] [Accepted: 08/06/2015] [Indexed: 12/20/2022]
Abstract
BACKGROUND Tobacco smoke contains numerous agonists of the aryl hydrocarbon receptor (AhR) pathway, and activation of the AhR pathway was shown to promote atherosclerosis in mice. Intriguingly, cigarette smoking is most strongly and robustly associated with DNA modifications to an AhR pathway gene, the AhR repressor (AHRR). We hypothesized that altered AHRR methylation in monocytes, a cell type sensitive to cigarette smoking and involved in atherogenesis, may be a part of the biological link between cigarette smoking and atherosclerosis. METHODS AND RESULTS DNA methylation profiles of AHRR in monocytes (542 CpG sites ± 150 kb of AHRR, using Illumina 450K array) were integrated with smoking habits and ultrasound-measured carotid plaque scores from 1256 participants of the Multi-Ethnic Study of Atherosclerosis (MESA). Methylation of cg05575921 significantly associated (P=6.1 × 10(-134)) with smoking status (current versus never). Novel associations between cg05575921 methylation and carotid plaque scores (P=3.1 × 10(-10)) were identified, which remained significant in current and former smokers even after adjusting for self-reported smoking habits, urinary cotinine, and well-known cardiovascular disease risk factors. This association replicated in an independent cohort using hepatic DNA (n=141). Functionally, cg05575921 was located in a predicted gene expression regulatory element (enhancer) and had methylation correlated with AHRR mRNA profiles (P=1.4 × 10(-17)) obtained from RNA sequencing conducted on a subset (n=373) of the samples. CONCLUSIONS These findings suggest that AHRR methylation may be functionally related to AHRR expression in monocytes and represents a potential biomarker of subclinical atherosclerosis in smokers.
Collapse
|
27
|
Guzman R, Valente EG, Pretorius J, Pacheco E, Qi M, Bennett BD, Fong DH, Lin FF, Bi V, McBride HJ. Expression of ORAII, a plasma membrane resident subunit of the CRAC channel, in rodent and non-rodent species. J Histochem Cytochem 2014; 62:864-78. [PMID: 25249026 DOI: 10.1369/0022155414554926] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [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: 12/15/2022] Open
Abstract
We determined the expression of ORAI1 protein in rodent and non-rodent tissues using a monoclonal antibody directed against an extracellular loop of the protein. Previous reports using antibodies directed at the C-terminus of ORAI1 have not detected central nervous system (CNS) expression. Our results demonstrate broad tissue expression that includes the CNS using a unique monoclonal antibody specific to an extracellular loop of ORAI1. In addition, we present in situ hybridization (ISH) results using a probe within the middle of the mouse coding region showing CNS expression of Orai1 RNA. We contrast the patterns of rodent and human tissue expression and conclude that rodents have similar expression of ORAI1 in most tissue types when compared to primates, with an important exception being the male reproductive system, where human-specific expression is observed.
Collapse
Affiliation(s)
- Roberto Guzman
- Departments of Pathology (RG, EGV, JP, EP, MQ), Amgen, Inc. Thousand Oaks, CaliforniaTherapeutic Discovery (FFL, VB), Amgen, Inc. Thousand Oaks, CaliforniaDiscovery Toxicology (HJM), Amgen, Inc. Thousand Oaks, CaliforniaInflammation Research (BDB, DHF), Amgen, Inc. Thousand Oaks, California
| | - Eliane G Valente
- Departments of Pathology (RG, EGV, JP, EP, MQ), Amgen, Inc. Thousand Oaks, CaliforniaTherapeutic Discovery (FFL, VB), Amgen, Inc. Thousand Oaks, CaliforniaDiscovery Toxicology (HJM), Amgen, Inc. Thousand Oaks, CaliforniaInflammation Research (BDB, DHF), Amgen, Inc. Thousand Oaks, California
| | - Jim Pretorius
- Departments of Pathology (RG, EGV, JP, EP, MQ), Amgen, Inc. Thousand Oaks, CaliforniaTherapeutic Discovery (FFL, VB), Amgen, Inc. Thousand Oaks, CaliforniaDiscovery Toxicology (HJM), Amgen, Inc. Thousand Oaks, CaliforniaInflammation Research (BDB, DHF), Amgen, Inc. Thousand Oaks, California
| | - Efrain Pacheco
- Departments of Pathology (RG, EGV, JP, EP, MQ), Amgen, Inc. Thousand Oaks, CaliforniaTherapeutic Discovery (FFL, VB), Amgen, Inc. Thousand Oaks, CaliforniaDiscovery Toxicology (HJM), Amgen, Inc. Thousand Oaks, CaliforniaInflammation Research (BDB, DHF), Amgen, Inc. Thousand Oaks, California
| | - Meiying Qi
- Departments of Pathology (RG, EGV, JP, EP, MQ), Amgen, Inc. Thousand Oaks, CaliforniaTherapeutic Discovery (FFL, VB), Amgen, Inc. Thousand Oaks, CaliforniaDiscovery Toxicology (HJM), Amgen, Inc. Thousand Oaks, CaliforniaInflammation Research (BDB, DHF), Amgen, Inc. Thousand Oaks, California
| | - Brian D Bennett
- Departments of Pathology (RG, EGV, JP, EP, MQ), Amgen, Inc. Thousand Oaks, CaliforniaTherapeutic Discovery (FFL, VB), Amgen, Inc. Thousand Oaks, CaliforniaDiscovery Toxicology (HJM), Amgen, Inc. Thousand Oaks, CaliforniaInflammation Research (BDB, DHF), Amgen, Inc. Thousand Oaks, California
| | - David H Fong
- Departments of Pathology (RG, EGV, JP, EP, MQ), Amgen, Inc. Thousand Oaks, CaliforniaTherapeutic Discovery (FFL, VB), Amgen, Inc. Thousand Oaks, CaliforniaDiscovery Toxicology (HJM), Amgen, Inc. Thousand Oaks, CaliforniaInflammation Research (BDB, DHF), Amgen, Inc. Thousand Oaks, California
| | - Fen-Fen Lin
- Departments of Pathology (RG, EGV, JP, EP, MQ), Amgen, Inc. Thousand Oaks, CaliforniaTherapeutic Discovery (FFL, VB), Amgen, Inc. Thousand Oaks, CaliforniaDiscovery Toxicology (HJM), Amgen, Inc. Thousand Oaks, CaliforniaInflammation Research (BDB, DHF), Amgen, Inc. Thousand Oaks, California
| | - Vivian Bi
- Departments of Pathology (RG, EGV, JP, EP, MQ), Amgen, Inc. Thousand Oaks, CaliforniaTherapeutic Discovery (FFL, VB), Amgen, Inc. Thousand Oaks, CaliforniaDiscovery Toxicology (HJM), Amgen, Inc. Thousand Oaks, CaliforniaInflammation Research (BDB, DHF), Amgen, Inc. Thousand Oaks, California
| | - Helen J McBride
- Departments of Pathology (RG, EGV, JP, EP, MQ), Amgen, Inc. Thousand Oaks, CaliforniaTherapeutic Discovery (FFL, VB), Amgen, Inc. Thousand Oaks, CaliforniaDiscovery Toxicology (HJM), Amgen, Inc. Thousand Oaks, CaliforniaInflammation Research (BDB, DHF), Amgen, Inc. Thousand Oaks, California
| |
Collapse
|
28
|
Abstract
In chromatographic separations, the heights of peaks are proportional to the concentrations of sample components present in an injected mixture. In general, an increase in the peak height cannot be achieved by simply increasing the injection time or the sample plug length. An exception occurs if some form of on-line preconcentration is possible. We present a new strategy for achieving on-line preconcentration by the use of a porous chromatographic material that acts as a solid-phase extractor as well as a stationary-phase separator. We are able to realize significant on-line preconcentration using capillary columns filled with a photopolymerized sol-gel (PSG). More than 2-cm plugs of sample solution can be loaded into the capillary and concentrated using a running buffer that is the same as the injection buffer (to avoid solvent gradient effects). As a demonstration, mixtures of three different polycyclic aromatic hydrocarbons, eight different alkyl phenyl ketones, and five different peptides in solutions of aqueous acetonitrile have been injected onto the PSG column and separated by capillary electrochromatography. The preconcentration is marked in terms of peak heights, with up to 100-fold increase for the PAH mixture, 30-fold for the alkyl phenyl ketone mixture, and 20-fold for the peptide mixture. Preconcentration takes place because of the high mass-transfer rates possible in the highly porous structure, and the extent of preconcentration follows the retention factor k for a given analyte.
Collapse
Affiliation(s)
- J P Quirino
- Department of Chemistry, Stanford University, California 94305-5080, USA
| | | | | | | |
Collapse
|
29
|
Steinberg TH, Jørgensen NR, Bong JS, Henriksen Z, Atal N, Lin GC, Bennett BD, Eriksen EF, Sørensen OH, Civitelli R. P2-mediated responses in osteoclasts and osteoclast-like cells. Drug Dev Res 2001. [DOI: 10.1002/ddr.1179] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
|
30
|
Abstract
A solution of methacryloxypropyltrimethoxysilane in the presence of an acid catalyst, water, toluene, and a photoinitiator was irradiated at 365 nm for 5 min in a 75-microm i.d. capillary to prepare a porous monolithic sol-gel column by a one-step, in situ, process. The photopolymerized sol-gel (PSG) column shows reversed-phase behavior. Using this column, a variety of low-molecular-weight neutral compounds, including polycyclic aromatic hydrocarbons, alkyl benzenes, alkyl phenyl ketones, and steroids are separated from mixtures. Various different operational parameters, such as buffer composition, field strength, and column temperature, were varied to assess their influence on column performance. Use of PSG as a stationary phase for a pressure-driven separation is also demonstrated.
Collapse
Affiliation(s)
- M T Dulay
- Department of Chemistry, Stanford University, California 94305-5080, USA
| | | | | | | | | |
Collapse
|
31
|
Abstract
Porous sol-gel frits are fabricated in a capillary column by filling it with a solution of 3-(trimethoxysilyl)propyl methacrylate, hydrochloric acid, water, toluene (porogen), and a photoinitiator (Irgacure 1800) and exposing it to UV light at 365 nm for 5 min. The separation column (30 cm x 75 microm I.D.) contains between the inlet and outlet frits a 15-cm packed segment filled with 5-microm silica particles modified with the chiral compound (S)-N-3,5-dinitrobenzoyl-1-naphthylglycine. A detection window (1 mm long) is placed immediately after the outlet frit. To demonstrate the performance of this chiral separation column, mixtures of 16 different amino acids (three of which are not naturally occurring) derivatized with the fluorogenic reagent 4-fluoro-7-nitro-2,1,3-benzoxadiazole were separated by capillary chromatography. The enantiomeric separation of the column results in a resolution ranging from 1.21 to 8.29, and a plate height ranging from 8.7 to 39 microm.
Collapse
Affiliation(s)
- M Kato
- Department of Chemistry, Stanford University, CA 94305-5080, USA
| | | | | | | | | |
Collapse
|
32
|
Abstract
Osteoclasts "sense" elevated extracellular calcium, which leads to cytoskeletal changes that may be linked to phospholipase C (PLC) activation and the associated rise in intracellular calcium ([Ca(2+)](i)). Since PLC is linked to transient receptor potential channels (trp), we hypothesized that receptor activated calcium influx due to this channel type would be activated by osteoclasts sensing [Ca(2+)](e). We found that high [Ca(2+)](e) induced similar intracellular Ca(2+) rises in chicken osteoclasts with or without intracellular Ca(2+) store depletion by either TPEN or thapsigargin, thus defining store-insensitive Ca(2+) influx. This store-insensitive calcium sensing component was blocked by the PLC antagonist U73122. Also, the calcium channel inhibitor SKF 96365, a blocker of store-independent trp-like channels, was effective in inhibiting calcium sensing in the presence of thapsigargin. Thus, a store-independent component of calcium sensing was associated with ion channels linked to PLC. Since receptor activated transient receptor potential (trp) family cation channels open in a PLC-dependent and store-independent manner, we suggest that receptor operated channels are activated in osteoclasts stimulated by high extracellular Ca(2+).
Collapse
Affiliation(s)
- B D Bennett
- Renal Division, Departments of Medicine and Cell Biology, Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | | | | |
Collapse
|
33
|
Luo Y, Bolon B, Kahn S, Bennett BD, Babu-Khan S, Denis P, Fan W, Kha H, Zhang J, Gong Y, Martin L, Louis JC, Yan Q, Richards WG, Citron M, Vassar R. Mice deficient in BACE1, the Alzheimer's beta-secretase, have normal phenotype and abolished beta-amyloid generation. Nat Neurosci 2001; 4:231-2. [PMID: 11224535 DOI: 10.1038/85059] [Citation(s) in RCA: 746] [Impact Index Per Article: 32.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Y Luo
- Amgen, One Amgen Center Drive, MS 29-2-B, Thousand Oaks, California 91320, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
34
|
Bennett BD, Denis P, Haniu M, Teplow DB, Kahn S, Louis JC, Citron M, Vassar R. A furin-like convertase mediates propeptide cleavage of BACE, the Alzheimer's beta -secretase. J Biol Chem 2000; 275:37712-7. [PMID: 10956649 DOI: 10.1074/jbc.m005339200] [Citation(s) in RCA: 198] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The novel transmembrane aspartic protease BACE (for Beta-site APP Cleaving Enzyme) is the beta-secretase that cleaves amyloid precursor protein to initiate beta-amyloid formation. As such, BACE is a prime therapeutic target for the treatment of Alzheimer's disease. BACE, like other aspartic proteases, has a propeptide domain that is removed to form the mature enzyme. BACE propeptide cleavage occurs at the sequence RLPR downward arrowE, a potential furin recognition motif. Here, we explore the role of furin in BACE propeptide domain processing. BACE propeptide cleavage in cells does not appear to be autocatalytic, since an inactive D93A mutant of BACE is still cleaved appropriately. BACE and furin co-localize within the Golgi apparatus, and propeptide cleavage is inhibited by brefeldin A and monensin, drugs that disrupt trafficking through the Golgi. Treatment of cells with the calcium ionophore, leading to inhibition of calcium-dependent proteases including furin, or transfection with the alpha(1)-antitrypsin variant alpha(1)-PDX, a potent furin inhibitor, dramatically reduces cleavage of the BACE propeptide. Moreover, the BACE propeptide is not processed in the furin-deficient LoVo cell line; however, processing is restored upon furin transfection. Finally, in vitro digestion of recombinant soluble BACE with recombinant furin results in complete cleavage only at the established E46 site. Taken together, our results strongly suggest that furin, or a furin-like proprotein convertase, is responsible for cleaving the BACE propeptide domain to form the mature enzyme.
Collapse
Affiliation(s)
- B D Bennett
- Department of Neurology, Harvard Medical School, and Center for Neurologic Diseases, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA
| | | | | | | | | | | | | | | |
Collapse
|
35
|
Bennett BD, Callaway JC, Wilson CJ. Intrinsic membrane properties underlying spontaneous tonic firing in neostriatal cholinergic interneurons. J Neurosci 2000; 20:8493-503. [PMID: 11069957 PMCID: PMC6773196] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023] Open
Abstract
Neostriatal cholinergic interneurons produce spontaneous tonic firing in the absence of synaptic input. Perforated patch recording and whole-cell recording combined with calcium imaging were used in vitro to identify the intrinsic membrane properties underlying endogenous excitability. Spontaneous firing was driven by the combined action of a sodium current and the hyperpolarization-activated cation current (I(h)), which together ensured that there was no zero current point in the subthreshold voltage range. Blockade of sodium channels or I(h) established a stable subthreshold resting membrane potential. A tetrodotoxin-sensitive region of negative slope conductance was observed between approximately -60 mV and threshold (approximately -50 mV) and the h-current was activated at all subthreshold voltages. Calcium imaging experiments revealed that there was minimal calcium influx at subthreshold membrane potentials but that action potentials produced elevations of calcium in both the soma and dendrites. Spike-triggered calcium entry shaped the falling phase of the action potential waveform and activated calcium-dependent potassium channels. Blockade of big-conductance channels caused spike broadening. Application of apamin, which blocks small-conductance channels, abolished the slow spike afterhyperpolarization (AHP) and caused a transition to burst firing. In the absence of synaptic input, a range of tonic firing patterns are observed, suggesting that the characteristic spike sequences described for tonically active cholinergic neurons (TANs) recorded in vivo are intrinsic in origin. The pivotal role of the AHP in regulating spike patterning indicates that burst firing of TANs in vivo could arise from direct or indirect modulation of the AHP without requiring phasic synaptic input.
Collapse
Affiliation(s)
- B D Bennett
- Cajal Neuroscience Research Center, Division of Life Sciences, University of Texas, San Antonio, Texas 78249, USA
| | | | | |
Collapse
|
36
|
Bennett BD. University of South Alabama College of Medicine. Acad Med 2000; 75:S4-S6. [PMID: 10995625 DOI: 10.1097/00001888-200009001-00004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
|
37
|
Haniu M, Denis P, Young Y, Mendiaz EA, Fuller J, Hui JO, Bennett BD, Kahn S, Ross S, Burgess T, Katta V, Rogers G, Vassar R, Citron M. Characterization of Alzheimer's beta -secretase protein BACE. A pepsin family member with unusual properties. J Biol Chem 2000; 275:21099-106. [PMID: 10887202 DOI: 10.1074/jbc.m002095200] [Citation(s) in RCA: 177] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The cerebral deposition of amyloid beta-peptide is an early and critical feature of Alzheimer's disease. Amyloid beta-peptide is released from the amyloid precursor protein by the sequential action of two proteases, beta-secretase and gamma-secretase, and these proteases are prime targets for therapeutic intervention. We have recently cloned a novel aspartic protease, BACE, with all the known properties of beta-secretase. Here we demonstrate that BACE is an N-glycosylated integral membrane protein that undergoes constitutive N-terminal processing in the Golgi apparatus. We have used a secreted Fc fusion-form of BACE (BACE-IgG) that contains the entire ectodomain for a detailed analysis of posttranslational modifications. This molecule starts at Glu(46) and contains four N-glycosylation sites (Asn(153), Asn(172), Asn(223), and Asn(354)). The six Cys residues in the ectodomain form three intramolecular disulfide linkages (Cys(216)-Cys(420), Cys(278)-Cys(443), and Cys(330)-Cys(380)). Despite the conservation of the active site residues and the 30-37% amino acid homology with known aspartic proteases, the disulfide motif is fundamentally different from that of other aspartic proteases. This difference may affect the substrate specificity of the enzyme. Taken together, both the presence of a transmembrane domain and the unusual disulfide bond structure lead us to conclude that BACE is an atypical pepsin family member.
Collapse
Affiliation(s)
- M Haniu
- Amgen Inc., Thousand Oaks, California 91320-1799, USA.
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
38
|
Abstract
Beta-site amyloid precursor protein cleaving enzyme (BACE) is a novel transmembrane aspartic protease that possesses all the known characteristics of the beta-secretase involved in Alzheimer's disease (Vassar, R., Bennett, B. D., Babu-Khan, S., Kahn, S., Mendiaz, E. A., Denis, P., Teplow, D. B., Ross, S., Amarante, P., Loeloff, R., Luo, Y., Fisher, S., Fuller, J., Edenson, S., Lile, J., Jarosinski, M. A., Biere, A. L., Curran, E., Burgess, T., Louis, J. -C., Collins, F., Treanor, J., Rogers, G., and Citron, M. (1999) Science 286, 735-741). We have analyzed the sequence and expression pattern of a BACE homolog termed BACE2. BACE and BACE2 are unique among aspartic proteases in that they possess a carboxyl-terminal extension with a predicted transmembrane region and together they define a new family. Northern analysis reveals that BACE2 mRNA is expressed at low levels in most human peripheral tissues and at higher levels in colon, kidney, pancreas, placenta, prostate, stomach, and trachea. Human adult and fetal whole brain and most adult brain subregions express very low or undetectable levels of BACE2 mRNA. In addition, in situ hybridization of adult rat brain shows that BACE2 mRNA is expressed at very low levels in most brain regions. The very low or undetectable levels of BACE2 mRNA in the brain are not consistent with the expression pattern predicted for beta-secretase.
Collapse
Affiliation(s)
- B D Bennett
- Amgen, Inc., Thousand Oaks, California 91320-1799, USA
| | | | | | | | | | | | | |
Collapse
|
39
|
Haniu M, Denis P, Young Y, Mendiaz B, Bennett BD, Rogers G, Vassar R, Citron M. Characterization of Alzheimer's β-secretase protein bace: A pepsin family member with unusual properties. Neurobiol Aging 2000. [DOI: 10.1016/s0197-4580(00)83200-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
40
|
Zamborelli TJ, Dodson WS, Harding BJ, Zhang J, Bennett BD, Lenz DM, Young Y, Haniu M, Liu CF, Jones T, Jarosinski MA. A comparison of folding techniques in the chemical synthesis of the epidermal growth factor-like domain in neu differentiation factor alpha/beta. J Pept Res 2000; 55:359-71. [PMID: 10863933 DOI: 10.1034/j.1399-3011.2000.00672.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The 52-residue alpha/beta chimera of the epidermal growth factor-like domain in neu differentiation factor (NDFealpha/beta) has been synthesized and folded to form a three disulfide bridge (Cys182-Cys196, Cys190-Cys210, Cys212-Cys221) containing peptide. We investigated two general strategies for the formation of the intramolecular disulfide bridges including, the single-step approach, which used fully deprotected and reduced peptide, and a sequential approach that relied on orthogonal cysteine protection in which specific pairs are excluded from the first oxidation step. Because there are 15 possible disulfide bridge arrangements in a peptide with six cysteines, the one-step approach may not always provide the desired disulfide pairing. Here, we compare the single-step approach with a systematic evaluation of the sequential approach. We employed the acetamidomethyl group to protect each pair of cysteines involved in disulfide bridges, i.e. Cys182 to Cys196, Cys190 to Cys210 and Cys212 to Cys221. This reduced the number of possible disulfide patterns from 15 to three in the first folding step. We compared the efficiencies of folding for each protected pair using RP-HPLC, mapped the disulfide connectivity of the predominant product and then formed the final disulfide from the partially folded intermediate via 12 oxidation. Only the peptide having the Cys182-Cys196 pair blocked with acetamidomethyl forms the desired disulfide isomer (Cys190-Cys210/Cys212-Cys221) as a single homogeneous product. By optimizing both approaches, as well as other steps in the synthesis, we can now rapidly provide large-scale syntheses of NDFealpha/beta and other novel EGF-like peptides.
Collapse
|
41
|
Bennett BD, Babu-Khan S, Loeloff R, Louis JC, Curran E, Citron M, Vassar R. BACE and BACE2 define a novel subfamily of trans-membrane aspartic proteases. Neurobiol Aging 2000. [DOI: 10.1016/s0197-4580(00)82301-5] [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: 10/27/2022]
|
42
|
Vassar R, Bennett BD, Babu-Khan S, Kahn S, Mendiaz EA, Denis P, Teplow DB, Ross S, Amarante P, Loeloff R, Luo Y, Fisher S, Fuller J, Edenson S, Lile J, Jarosinski MA, Biere AL, Curran E, Burgess T, Louis JC, Collins F, Treanor J, Rogers G, Citron M. Beta-secretase cleavage of Alzheimer's amyloid precursor protein by the transmembrane aspartic protease BACE. Science 1999; 286:735-41. [PMID: 10531052 DOI: 10.1126/science.286.5440.735] [Citation(s) in RCA: 2812] [Impact Index Per Article: 112.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Cerebral deposition of amyloid beta peptide (Abeta) is an early and critical feature of Alzheimer's disease. Abeta generation depends on proteolytic cleavage of the amyloid precursor protein (APP) by two unknown proteases: beta-secretase and gamma-secretase. These proteases are prime therapeutic targets. A transmembrane aspartic protease with all the known characteristics of beta-secretase was cloned and characterized. Overexpression of this protease, termed BACE (for beta-site APP-cleaving enzyme) increased the amount of beta-secretase cleavage products, and these were cleaved exactly and only at known beta-secretase positions. Antisense inhibition of endogenous BACE messenger RNA decreased the amount of beta-secretase cleavage products, and purified BACE protein cleaved APP-derived substrates with the same sequence specificity as beta-secretase. Finally, the expression pattern and subcellular localization of BACE were consistent with that expected for beta-secretase. Future development of BACE inhibitors may prove beneficial for the treatment of Alzheimer's disease.
Collapse
Affiliation(s)
- R Vassar
- Amgen, Inc., One Amgen Center Drive, M/S 29-2-B, Thousand Oaks, CA 91320-1799, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
43
|
Bennett BD, Wilson CJ. Spontaneous activity of neostriatal cholinergic interneurons in vitro. J Neurosci 1999; 19:5586-96. [PMID: 10377365 PMCID: PMC6782311] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023] Open
Abstract
Neostriatal cholinergic interneurons fire irregularly but tonically in vivo. The summation of relatively few depolarizing potentials and their temporal sequence are thought to underlie spike triggering and the irregularity of action potential timing, respectively. In these experiments we used whole-cell, cell-attached, and extracellular recording techniques to investigate the role of spontaneous synaptic inputs in the generation and patterning of action potentials in cholinergic interneurons in vitro. Cholinergic cells were spontaneously active in vitro at 25 +/- 1 degrees C during whole-cell recording from 2 to 3 week postnatal slices and at 35 +/- 2 degrees C during cell-attached and extracellular recording from 3 to 4 week postnatal slices. A range of firing frequencies and patterns was observed including regular, irregular, and burst firing. Blockade of AMPA and NMDA receptors altered neither the firing rate nor the pattern, and accordingly, voltage-clamp data revealed a very low incidence of spontaneous EPSCs. GABAA receptor antagonists were also ineffective in altering the spiking frequency or pattern owing to minimal inhibitory input in vitro. Functional excitatory and inhibitory inputs to cholinergic cells were disclosed after application of 4-aminopyridine (100 microM), indicating that these synapses are present but not active in vitro. Blockade of D1 or D2 dopamine receptors or muscarinic receptors also failed to influence tonic activity in cholinergic cells. Together these data indicate that cholinergic interneurons are endogenously active and generate action potentials in the absence of any synaptic input. Interspike interval histograms and autocorrelograms generated from unit recordings of cholinergic cells in vitro were indistinguishable from those of tonically active neurons recorded in vivo. Irregular spiking is therefore embedded in the mechanism responsible for endogenous activity.
Collapse
Affiliation(s)
- B D Bennett
- Department of Anatomy and Neurobiology, University of Tennessee, Memphis, Tennessee 38163, USA
| | | |
Collapse
|
44
|
Bennett BD, Wilson CJ. Synaptic regulation of action potential timing in neostriatal cholinergic interneurons. J Neurosci 1998; 18:8539-49. [PMID: 9763496 PMCID: PMC6792851] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023] Open
Abstract
Action potentials in neostriatal cholinergic interneurons recorded in vivo are triggered by summation of two or three discrete synaptic depolarizations (Wilson et al., 1990). The ability and precision with which EPSPs and IPSPs regulate action potential timing was therefore investigated in vitro. Cholinergic interneurons were identified on the basis of morphological and electrophysiological characteristics in neostriatal slices taken from 2- to 3-week-old postnatal rats recorded at 24-26 degreesC. During periods of induced regular firing, intrastriatal stimuli were used to evoke pharmacologically isolated monosynaptic AMPA receptor-mediated EPSPs or GABAA receptor-mediated IPSPs. EPSPs evoked during the interspike interval (ISI) produced a phase-dependent decrease in the ISI, whereas IPSPs produced a phase-independent prolongation of the ISI. Injection of brief depolarizing currents mimicked the action of EPSPs and revealed an alteration in the input resistance during the ISI. In contrast to IPSPs, the ability of brief hyperpolarizing current injections to delay spike generation was phase-dependent. After blockade of GABAergic and glutamatergic synaptic transmission, stimuli failed to produce a detectable conductance change but could still prolong the subsequent ISI primarily through a D1 dopamine receptor-mediated enhancement of the afterhyperpolarization (AHP). Hence, EPSPs are ideally suited to provide a precise regulation of spike timing in cholinergic cells, whereas IPSPs are more likely to influence the overall level of excitability. The D1-mediated modulation of the AHP may contribute to the prolonged ISI seen in tonically active neurons in vivo in monkeys trained to respond to a sensory cue.
Collapse
Affiliation(s)
- B D Bennett
- Department of Anatomy and Neurobiology, University of Tennessee, Memphis, Tennessee 38163, USA
| | | |
Collapse
|
45
|
Abstract
The effect of adrenoceptor activation on pharmacologically isolated monosynaptic inhibitory postsynaptic currents (IPSCs) detected in layer V pyramidal neurons was examined by using whole cell voltage-clamp in a slice preparation of rat sensorimotor cortex. Epinephrine (EPI; 10 muM) reversibly altered the amplitude of evoked IPSCs (eIPSCs) in slices from postnatal day 9-12 (P9-12) and P15-18 rats. The effects of EPI were heterogeneous in both age groups, and in individual cases an enhancement, a depression or no effect of eIPSCs was observed, although depression was observed more commonly in the younger age group. The effects of EPI on eIPSC amplitude were likely mediated through presynaptic mechanisms because they occurred in the absence of any alteration in the current produced by direct application of gamma-aminobutyric acid (GABA), or in input resistance. EPI always elicited an increase in the frequency of spontaneous IPSCs (sIPSCs) irrespective of whether or not it induced any change in the amplitude of eIPSCs in the same neuron. The increase in sIPSC frequency was blocked by phentolamine (10 muM) but not by propranolol (10 muM), supporting the conclusion that EPI-mediated effects on sIPSC frequency result from activation of alpha-adrenoceptors located on presynaptic inhibitory interneurons. In a subpopulation of neurons (3/9) from P15-18 rats, EPI increased both the amplitude and frequency of miniature IPSCs (mIPSCs) recorded in the presence of tetrodotoxin (TTX) and under conditions where postsynaptic EPI effects were blocked, suggesting activation of adrenoceptors on presynaptic terminals in these cells. Results of these experiments are consistent with an action of EPI at adrenoceptors located on presynaptic GABAergic interneurons. Adrenergic activation thus has multiple and complex influences on excitability in cortical circuits, some of which are a consequence of interactions that regulate the strength of GABAergic inhibition.
Collapse
Affiliation(s)
- B D Bennett
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California 94305-5300, USA
| | | | | |
Collapse
|
46
|
Niswender KD, Postic C, Jetton TL, Bennett BD, Piston DW, Efrat S, Magnuson MA. Cell-specific expression and regulation of a glucokinase gene locus transgene. J Biol Chem 1997; 272:22564-9. [PMID: 9278410 DOI: 10.1074/jbc.272.36.22564] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.4] [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] [Indexed: 02/05/2023] Open
Abstract
Transgenic mice containing one or more extra copies of the entire glucokinase (GK) gene locus were generated and characterized. The GK transgene, an 83-kilobase pair mouse genomic DNA fragment containing both promoter regions, was expressed and regulated in a cell-specific manner, and rescued GK null lethality when crossed into mice bearing a targeted mutation of the endogenous GK gene. Livers from the transgenic mice had elevated GK mRNA, protein, and activity levels, compared with controls, and the transgene was regulated in liver by dietary manipulations. The amount of GK immunoreactivity in hepatocyte nuclei, where GK binds to the GK regulatory protein, was also increased. Pancreatic islets displayed increased GK immunoreactivity and NAD(P)H responses to glucose, but only when isolated and cultured in 20 mM glucose, as a result of the hypoglycemic phenotype of these mice (Niswender, K. D., Shiota, M., Postic, C., Cherrington, A. D., and Magnuson, M. A. (1997) J. Biol. Chem. 272, 22604-22609). Together, these results indicate that the region of the gene from -55 to +28 kilobase pairs (relative to the liver GK transcription start site) contains all the regulatory sequences necessary for expression of both GK isoforms, thereby placing an upper limit on the size of the GK gene locus.
Collapse
Affiliation(s)
- K D Niswender
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA
| | | | | | | | | | | | | |
Collapse
|
47
|
Abstract
Mechanisms for point of care glucose determinations have changed significantly since first introduced approximately 20 years ago. Such tests are now commonly done in acute and chronic care hospitals, as well as in physicians' offices and patients' homes. Although basically reliable, there are a number of potential problems with glucose determination by these methods that may not be considered by physicians interpreting these tests. This is a brief review of such problems, especially in the acute care setting.
Collapse
Affiliation(s)
- B D Bennett
- Department of Pathology, University of South Alabama College of Medicine, Mobile 36617, USA
| |
Collapse
|
48
|
Bennett BD, Huguenard JR, Prince DA. Adrenoceptor-mediated elevation of ambient GABA levels activates presynaptic GABA(B) receptors in rat sensorimotor cortex. J Neurophysiol 1997; 78:561-6. [PMID: 9242307 DOI: 10.1152/jn.1997.78.1.561] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.4] [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] [Indexed: 02/04/2023] Open
Abstract
At inhibitory synapses in the mature neocortex and hippocampus in vitro, spontaneous action-potential-dependent and -independent release of gamma-aminobutyric acid (GABA) activates postsynaptic GABA(A) receptors but not pre- or postsynaptic GABA(B) receptors. Elevation of synaptic GABA levels with pharmacological agents or electrical stimulation can cause activation of GABA(B) receptors, but the physiological conditions under which such activation occurs need further elucidation. In rodent sensorimotor cortex, epinephrine produced a depression in the amplitude of evoked monosynaptic inhibitory postsynaptic currents (IPSCs) and a concomitant, adrenoceptor-mediated increase in the frequency of spontaneous IPSCs. Blockade of GABA(B) receptors prevented the depression of evoked IPSC amplitude by epinephrine but did not affect the increase in spontaneous IPSC frequency. These data show that adrenoceptor-mediated increases in spontaneous IPSCs can cause activation of presynaptic GABA(B) receptors and indirectly modulate impulse-related GABA release, presumably through elevation of synaptic GABA levels.
Collapse
Affiliation(s)
- B D Bennett
- Department of Neurology and Neurological Sciences, Stanford University Medical Center, California 94305, USA
| | | | | |
Collapse
|
49
|
Abstract
BACKGROUND Hematopoiesis entails the production of multiple blood cell lineages throughout the lifespan of the organism. This is accomplished by the regulated expansion and differentiation of hematopoietic precursors that originate from self-renewing hematopoietic stem cells. Studies of lineage commitment and proliferation have shown that the cytokine family of growth factors plays an important role in hematopoietic differentiation. However, in hematopoiesis, as in most self-renewing biological systems, the molecules that regulate the stem cells directly remain largely unknown. In this study, we have undertaken a search for novel cytokines that may influence the fate of hematopoietic stem cells. RESULTS We have cloned three splice variants of a novel cytokine receptor from human hematopoietic stem cells expressing the CD34 antigen, one of which is identical to the leptin receptor. Expression analysis revealed that the leptin receptor is expressed in both human and murine hematopoietic stem cell populations, and that leptin is expressed by hematopoietic stroma. We show that leptin provides a proliferative signal in hematopoietic cells. Importantly, we demonstrate that leptin provides a proliferative signal in BAF-3 cells and increases the proliferation of hematopoietic stem cell populations. The proliferative effects of leptin seem to be at the level of a multilineage progenitor, as shown by increased myelopoiesis, erythropoiesis and lymphopoiesis. Analysis of db/db mice, in which the leptin receptor is truncated, revealed that the steady-state levels of peripheral blood B cells and CD4-expressing T cells were dramatically reduced, demonstrating that the leptin pathway plays an essential role in lymphopoiesis. Colony assays performed using marrow from db/db and wild-type mice indicated that db/db marrow has a deficit in lymphopoietic progenitors; furthermore, db/db mice are unable to fully recover the lymphopoietic population following irradiation insult, and although the levels of peripheral blood erythrocytes are normal in db/db mice, spleen erythrocyte production is severely compromized. CONCLUSIONS We have discovered that leptin and its cognate receptor constitute a novel hematopoietic pathway that is required for normal lymphopoiesis. This pathway seems to act at the level of the hematopoietic stem/progenitor cell, and may well also impact upon erythropoiesis, particularly in anemic states that may require output from the spleen. These findings offer a new perspective on the role of the fat cell in hematopoiesis.
Collapse
Affiliation(s)
- B D Bennett
- Department of Molecular Oncology, Genentech Inc., 460 Point San Bruno Blvd, South San Francisco, California 94080, USA.
| | | | | | | | | | | |
Collapse
|
50
|
Abstract
Studies of dispersed beta cells have been used to infer their behavior in the intact pancreatic islet. When dispersed, beta cells exhibit multiple metabolic glucose-response populations with different insulin secretion properties. This has led to a model for glucose-dependent insulin secretion from the islet based on a step-wise recruitment of individual beta cells. However, previously reported synchronous and uniform Ca2+ activity and electrical responses indicate that beta cell behavior within intact islets is more uniform. Therefore, uncertainty remains whether beta cell metabolic heterogeneity is functionally important in intact islets. We have used two-photon excitation microscopy to measure and compare the glucose-induced NAD(P)H autofluorescence response in dispersed beta cells and within intact islets. Over 90% of beta cells in intact islets responded to glucose with significantly elevated NAD(P)H levels, compared with less than 70% of dispersed beta cells. In addition, all responding beta cells within intact islets exhibited a sigmoidal glucose dose response behavior with inflection points of approximately 8 mm glucose. These results suggest that beta cell heterogeneity may be functionally less important in the intact islet than has been predicted from studies of dispersed beta cells and support the role of glucokinase as the rate-limiting enzyme in the beta cell glucose response.
Collapse
Affiliation(s)
- B D Bennett
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee 37232, USA
| | | | | | | | | |
Collapse
|