1
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Loupe JM, Anderson AG, Rizzardi LF, Rodriguez-Nunez I, Moyers B, Trausch-Lowther K, Jain R, Bunney WE, Bunney BG, Cartagena P, Sequeira A, Watson SJ, Akil H, Cooper GM, Myers RM. Multiomic profiling of transcription factor binding and function in human brain. Nat Neurosci 2024; 27:1387-1399. [PMID: 38831039 DOI: 10.1038/s41593-024-01658-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 04/19/2024] [Indexed: 06/05/2024]
Abstract
Transcription factors (TFs) orchestrate gene expression programs crucial for brain function, but we lack detailed information about TF binding in human brain tissue. We generated a multiomic resource (ChIP-seq, ATAC-seq, RNA-seq, DNA methylation) on bulk tissues and sorted nuclei from several postmortem brain regions, including binding maps for more than 100 TFs. We demonstrate improved measurements of TF activity, including motif recognition and gene expression modeling, upon identification and removal of high TF occupancy regions. Further, predictive TF binding models demonstrate a bias for these high-occupancy sites. Neuronal TFs SATB2 and TBR1 bind unique regions depleted for such sites and promote neuronal gene expression. Binding sites for TFs, including TBR1 and PKNOX1, are enriched for risk variants associated with neuropsychiatric disorders, predominantly in neurons. This work, titled BrainTF, is a powerful resource for future studies seeking to understand the roles of specific TFs in regulating gene expression in the human brain.
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Affiliation(s)
- Jacob M Loupe
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | | | - Lindsay F Rizzardi
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
- Department of Biochemistry and Molecular Biology, The University of Alabama in Birmingham, Birmingham, AL, USA
| | | | - Belle Moyers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | | | - Rashmi Jain
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - William E Bunney
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Blynn G Bunney
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Preston Cartagena
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Adolfo Sequeira
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Stanley J Watson
- The Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
| | - Huda Akil
- The Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI, USA
| | | | - Richard M Myers
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
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2
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Reichlmeir M, Canet-Pons J, Koepf G, Nurieva W, Duecker RP, Doering C, Abell K, Key J, Stokes MP, Zielen S, Schubert R, Ivics Z, Auburger G. In Cerebellar Atrophy of 12-Month-Old ATM-Null Mice, Transcriptome Upregulations Concern Most Neurotransmission and Neuropeptide Pathways, While Downregulations Affect Prominently Itpr1, Usp2 and Non-Coding RNA. Cells 2023; 12:2399. [PMID: 37830614 PMCID: PMC10572167 DOI: 10.3390/cells12192399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 09/29/2023] [Accepted: 10/01/2023] [Indexed: 10/14/2023] Open
Abstract
The autosomal recessive disorder Ataxia-Telangiectasia is caused by a dysfunction of the stress response protein, ATM. In the nucleus of proliferating cells, ATM senses DNA double-strand breaks and coordinates their repair. This role explains T-cell dysfunction and tumour risk. However, it remains unclear whether this function is relevant for postmitotic neurons and underlies cerebellar atrophy, since ATM is cytoplasmic in postmitotic neurons. Here, we used ATM-null mice that survived early immune deficits via bone-marrow transplantation, and that reached initial neurodegeneration stages at 12 months of age. Global cerebellar transcriptomics demonstrated that ATM depletion triggered upregulations in most neurotransmission and neuropeptide systems. Downregulated transcripts were found for the ATM interactome component Usp2, many non-coding RNAs, ataxia genes Itpr1, Grid2, immediate early genes and immunity factors. Allelic splice changes affected prominently the neuropeptide machinery, e.g., Oprm1. Validation experiments with stressors were performed in human neuroblastoma cells, where ATM was localised only to cytoplasm, similar to the brain. Effect confirmation in SH-SY5Y cells occurred after ATM depletion and osmotic stress better than nutrient/oxidative stress, but not after ATM kinase inhibition or DNA stressor bleomycin. Overall, we provide pioneer observations from a faithful A-T mouse model, which suggest general changes in synaptic and dense-core vesicle stress adaptation.
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Affiliation(s)
- Marina Reichlmeir
- Goethe University Frankfurt, University Hospital, Clinic of Neurology, Exp. Neurology, Heinrich Hoffmann Str. 7, 60590 Frankfurt am Main, Germany; (M.R.); (J.C.-P.); (J.K.)
| | - Júlia Canet-Pons
- Goethe University Frankfurt, University Hospital, Clinic of Neurology, Exp. Neurology, Heinrich Hoffmann Str. 7, 60590 Frankfurt am Main, Germany; (M.R.); (J.C.-P.); (J.K.)
| | - Gabriele Koepf
- Goethe University Frankfurt, University Hospital, Clinic of Neurology, Exp. Neurology, Heinrich Hoffmann Str. 7, 60590 Frankfurt am Main, Germany; (M.R.); (J.C.-P.); (J.K.)
| | - Wasifa Nurieva
- Transposition and Genome Engineering, Research Centre of the Division of Hematology, Gene and Cell Therapy, Paul Ehrlich Institute, 63225 Langen, Germany; (W.N.); (Z.I.)
| | - Ruth Pia Duecker
- Division of Pediatrics, Pulmonology, Allergology, Infectious Diseases and Gastroenterology, Children’s Hospital, University Hospital, Goethe-University, 60590 Frankfurt am Main, Germany; (R.P.D.); (S.Z.); (R.S.)
| | - Claudia Doering
- Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, 60590 Frankfurt am Main, Germany;
| | - Kathryn Abell
- Cell Signaling Technology, Inc., Danvers, MA 01923, USA; (K.A.); (M.P.S.)
| | - Jana Key
- Goethe University Frankfurt, University Hospital, Clinic of Neurology, Exp. Neurology, Heinrich Hoffmann Str. 7, 60590 Frankfurt am Main, Germany; (M.R.); (J.C.-P.); (J.K.)
| | - Matthew P. Stokes
- Cell Signaling Technology, Inc., Danvers, MA 01923, USA; (K.A.); (M.P.S.)
| | - Stefan Zielen
- Division of Pediatrics, Pulmonology, Allergology, Infectious Diseases and Gastroenterology, Children’s Hospital, University Hospital, Goethe-University, 60590 Frankfurt am Main, Germany; (R.P.D.); (S.Z.); (R.S.)
- Respiratory Research Institute, Medaimun GmbH, 60596 Frankfurt am Main, Germany
| | - Ralf Schubert
- Division of Pediatrics, Pulmonology, Allergology, Infectious Diseases and Gastroenterology, Children’s Hospital, University Hospital, Goethe-University, 60590 Frankfurt am Main, Germany; (R.P.D.); (S.Z.); (R.S.)
| | - Zoltán Ivics
- Transposition and Genome Engineering, Research Centre of the Division of Hematology, Gene and Cell Therapy, Paul Ehrlich Institute, 63225 Langen, Germany; (W.N.); (Z.I.)
| | - Georg Auburger
- Goethe University Frankfurt, University Hospital, Clinic of Neurology, Exp. Neurology, Heinrich Hoffmann Str. 7, 60590 Frankfurt am Main, Germany; (M.R.); (J.C.-P.); (J.K.)
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3
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Yin S, Liu H, Zhou Z, Xu X, Wang P, Chen W, Deng G, Wang H, Yu H, Gu L, Huo M, Li M, Zeng L, He Y, Zhang C. PUM1 Promotes Tumor Progression by Activating DEPTOR-Meditated Glycolysis in Gastric Cancer. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2301190. [PMID: 37469018 PMCID: PMC10520643 DOI: 10.1002/advs.202301190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 07/05/2023] [Indexed: 07/21/2023]
Abstract
RNA-binding proteins (RBPs) play essential roles in tumorigenesis and progression, but their functions in gastric cancer (GC) remain largely elusive. Here, it is reported that Pumilio 1 (PUM1), an RBP, induces metabolic reprogramming through post-transcriptional regulation of DEP domain-containing mammalian target of rapamycin (mTOR)-interacting protein (DEPTOR) in GC. In clinical samples, elevated expression of PUM1 is associated with recurrence, metastasis, and poor survival. In vitro and in vivo experiments demonstrate that knockdown of PUM1 inhibits the proliferation and metastasis of GC cells. In addition, RNA-sequencing and bioinformatics analyses show that PUM1 is enriched in the glycolysis gene signature. Metabolomics studies confirm that PUM1 deficiency suppresses glycolytic metabolism. Mechanistically, PUM1 binds directly to DEPTOR mRNA pumilio response element to maintain the stability of the transcript and prevent DEPTOR degradation through post-transcriptional pathway. PUM1-mediated DEPTOR upregulation inhibits mTORC1 and alleviates the inhibitory feedback signal transmitted from mTORC1 to PI3K under normal conditions, thus activating the PI3K-Akt signal and glycolysis continuously. Collectively, these results reveal the critical epigenetic role of PUM1 in modulating DEPTOR-dependent GC progression. These conclusions support further clinical investigation of PUM1 inhibitors as a metabolic-targeting treatment strategy for GC.
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Affiliation(s)
- Songcheng Yin
- Digestive Diseases CenterGuangdong Provincial Key Laboratory of Digestive Cancer ResearchThe Seventh Affiliated Hospital of Sun Yat‐sen UniversityShenzhenGuangdong518107China
| | - Huifang Liu
- Digestive Diseases CenterGuangdong Provincial Key Laboratory of Digestive Cancer ResearchThe Seventh Affiliated Hospital of Sun Yat‐sen UniversityShenzhenGuangdong518107China
- Department of RadiotherapyAffiliated Cancer Hospital of Zhengzhou UniversityHenan Cancer HospitalZhengzhouHenan450000China
| | - Zhijun Zhou
- Department of MedicineThe University of Oklahoma Health Sciences CenterOklahoma CityOK 73104USA
| | - Xiaoyu Xu
- Department of Gynecology and ObstetricsThe Seventh Affiliated Hospital of Sun Yat‐sen UniversityShenzhenGuangdong518107China
| | - Pengliang Wang
- Department of Gastrointestinal SurgerySun Yat‐sen Memorial HospitalSun Yat‐sen UniversityGuangzhouGuangdong510120China
| | - Wei Chen
- Digestive Diseases CenterGuangdong Provincial Key Laboratory of Digestive Cancer ResearchThe Seventh Affiliated Hospital of Sun Yat‐sen UniversityShenzhenGuangdong518107China
| | - Guofei Deng
- Digestive Diseases CenterGuangdong Provincial Key Laboratory of Digestive Cancer ResearchThe Seventh Affiliated Hospital of Sun Yat‐sen UniversityShenzhenGuangdong518107China
| | - Han Wang
- Digestive Diseases CenterGuangdong Provincial Key Laboratory of Digestive Cancer ResearchThe Seventh Affiliated Hospital of Sun Yat‐sen UniversityShenzhenGuangdong518107China
| | - Hong Yu
- Digestive Diseases CenterGuangdong Provincial Key Laboratory of Digestive Cancer ResearchThe Seventh Affiliated Hospital of Sun Yat‐sen UniversityShenzhenGuangdong518107China
| | - Liang Gu
- Digestive Diseases CenterGuangdong Provincial Key Laboratory of Digestive Cancer ResearchThe Seventh Affiliated Hospital of Sun Yat‐sen UniversityShenzhenGuangdong518107China
| | - Mingyu Huo
- Digestive Diseases CenterGuangdong Provincial Key Laboratory of Digestive Cancer ResearchThe Seventh Affiliated Hospital of Sun Yat‐sen UniversityShenzhenGuangdong518107China
| | - Min Li
- Department of MedicineThe University of Oklahoma Health Sciences CenterOklahoma CityOK 73104USA
| | - Leli Zeng
- Digestive Diseases CenterGuangdong Provincial Key Laboratory of Digestive Cancer ResearchThe Seventh Affiliated Hospital of Sun Yat‐sen UniversityShenzhenGuangdong518107China
| | - Yulong He
- Digestive Diseases CenterGuangdong Provincial Key Laboratory of Digestive Cancer ResearchThe Seventh Affiliated Hospital of Sun Yat‐sen UniversityShenzhenGuangdong518107China
- Department of Gastrointestinal SurgeryThe First Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouGuangdong510062China
| | - Changhua Zhang
- Digestive Diseases CenterGuangdong Provincial Key Laboratory of Digestive Cancer ResearchThe Seventh Affiliated Hospital of Sun Yat‐sen UniversityShenzhenGuangdong518107China
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4
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Li Y, Yi Y, Lv J, Gao X, Yu Y, Babu S, Bruno I, Zhao D, Xia B, Peng W, Zhu J, Chen H, Zhang L, Cao Q, Chen K. Low RNA stability signifies increased post-transcriptional regulation of cell identity genes. Nucleic Acids Res 2023; 51:6020-6038. [PMID: 37125636 PMCID: PMC10325912 DOI: 10.1093/nar/gkad300] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 04/04/2023] [Accepted: 04/11/2023] [Indexed: 05/02/2023] Open
Abstract
Cell identity genes are distinct from other genes with respect to the epigenetic mechanisms to activate their transcription, e.g. by super-enhancers and broad H3K4me3 domains. However, it remains unclear whether their post-transcriptional regulation is also unique. We performed a systematic analysis of transcriptome-wide RNA stability in nine cell types and found that unstable transcripts were enriched in cell identity-related pathways while stable transcripts were enriched in housekeeping pathways. Joint analyses of RNA stability and chromatin state revealed significant enrichment of super-enhancers and broad H3K4me3 domains at the gene loci of unstable transcripts. Intriguingly, the RNA m6A methyltransferase, METTL3, preferentially binds to chromatin at super-enhancers, broad H3K4me3 domains and their associated genes. METTL3 binding intensity is positively correlated with RNA m6A methylation and negatively correlated with RNA stability of cell identity genes, probably due to co-transcriptional m6A modifications promoting RNA decay. Nanopore direct RNA-sequencing showed that METTL3 knockdown has a stronger effect on RNA m6A and mRNA stability for cell identity genes. Our data suggest a run-and-brake model, where cell identity genes undergo both frequent transcription and fast RNA decay to achieve precise regulation of RNA expression.
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Affiliation(s)
- Yanqiang Li
- Basic and Translational Research Division, Department of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Houston Methodist Research Institute, The Methodist Hospital System, Houston, TX 77030, USA
| | - Yang Yi
- Department of Urology, Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Jie Lv
- Houston Methodist Research Institute, The Methodist Hospital System, Houston, TX 77030, USA
| | - Xinlei Gao
- Basic and Translational Research Division, Department of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Houston Methodist Research Institute, The Methodist Hospital System, Houston, TX 77030, USA
| | - Yang Yu
- Basic and Translational Research Division, Department of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Sahana Suresh Babu
- Houston Methodist Research Institute, The Methodist Hospital System, Houston, TX 77030, USA
| | - Ivone Bruno
- Houston Methodist Research Institute, The Methodist Hospital System, Houston, TX 77030, USA
| | - Dongyu Zhao
- Basic and Translational Research Division, Department of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Houston Methodist Research Institute, The Methodist Hospital System, Houston, TX 77030, USA
| | - Bo Xia
- Houston Methodist Research Institute, The Methodist Hospital System, Houston, TX 77030, USA
| | - Weiqun Peng
- Department of Physics, The George Washington University, Washington, DC 20052, USA
| | - Jun Zhu
- Systems Biology Center, National Heart Lung and Blood Institute, NIH, Bethesda, MD 20892, USA
| | - Hong Chen
- Vascular Biology Program, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Surgery, Harvard Medical School, Boston, MA 02115, USA
| | - Lili Zhang
- Basic and Translational Research Division, Department of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Houston Methodist Research Institute, The Methodist Hospital System, Houston, TX 77030, USA
| | - Qi Cao
- Department of Urology, Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Kaifu Chen
- Basic and Translational Research Division, Department of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
- Houston Methodist Research Institute, The Methodist Hospital System, Houston, TX 77030, USA
- Broad Institute of MIT and Harvard, Boston, MA 02115, USA
- Dana-Farber/Harvard Cancer Center, Boston, MA 02115, USA
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5
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Edwards HE, Elizalde MJ, Souder JP, Gorelick DA. Hemato-vascular specification requires arnt1 and arnt2 genes in zebrafish embryos. Development 2023; 150:dev200500. [PMID: 37039097 PMCID: PMC10163348 DOI: 10.1242/dev.200500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 03/27/2023] [Indexed: 04/12/2023]
Abstract
During embryonic development, a subset of cells in the mesoderm germ layer are specified as hemato-vascular progenitor cells, which then differentiate into endothelial cells and hematopoietic stem and progenitor cells. In zebrafish, the transcription factor npas4l (cloche) is required for the specification of hemato-vascular progenitor cells. However, it is unclear whether npas4l is the sole factor at the top of the hemato-vascular specification cascade. Here, we show that arnt1 and arnt2 genes are required for hemato-vascular specification. We found that arnt1;arnt2 double mutant zebrafish embryos, but not arnt1 or arnt2 single mutants, lack blood cells and most endothelial cells. arnt1/2 mutants have reduced or absent expression of etsrp and tal1, the earliest known endothelial and hematopoietic transcription factor genes. We found that Npas4l binds both Arnt1 and Arnt2 proteins in vitro, consistent with the idea that PAS domain-containing bHLH transcription factors act in a multimeric complex to regulate gene expression. Our results demonstrate that npas4l, arnt1 and arnt2 act together to regulate endothelial and hematopoietic cell fate, where each gene is necessary, but not sufficient, to drive hemato-vascular specification.
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Affiliation(s)
- Hailey E. Edwards
- Center for Precision Environmental Health, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Mary Jane Elizalde
- Center for Precision Environmental Health, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jaclyn P. Souder
- Center for Precision Environmental Health, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Daniel A. Gorelick
- Center for Precision Environmental Health, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
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6
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Structures of NPAS4-ARNT and NPAS4-ARNT2 heterodimers reveal new dimerization modalities in the bHLH-PAS transcription factor family. Proc Natl Acad Sci U S A 2022; 119:e2208804119. [PMID: 36343253 PMCID: PMC9674253 DOI: 10.1073/pnas.2208804119] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Neuronal PER-ARNT-SIM (PAS) domain protein 4 (NPAS4) is a protective transcriptional regulator whose dysfunction has been linked to a variety of neuropsychiatric and metabolic diseases. As a member of the basic helix-loop-helix PER-ARNT-SIM (bHLH-PAS) transcription factor family, NPAS4 is distinguished by an ability to form functional heterodimers with aryl hydrocarbon receptor nuclear translocator (ARNT) and ARNT2, both of which are also bHLH-PAS family members. Here, we describe the quaternary architectures of NPAS4-ARNT and NPAS4-ARNT2 heterodimers in complexes involving DNA response elements. Our crystallographic studies reveal a uniquely interconnected domain conformation for the NPAS4 protein itself, as well as its differentially configured heterodimeric arrangements with both ARNT and ARNT2. Notably, the PAS-A domains of ARNT and ARNT2 exhibit variable conformations within these two heterodimers. The ARNT PAS-A domain also forms a set of interfaces with the PAS-A and PAS-B domains of NPAS4, different from those previously noted in ARNT heterodimers formed with other class I bHLH-PAS family proteins. Our structural observations together with biochemical and cell-based interrogations of these NPAS4 heterodimers provide molecular glimpses of the NPAS4 protein architecture and extend the known repertoire of heterodimerization patterns within the bHLH-PAS family. The PAS-B domains of NPAS4, ARNT, and ARNT2 all contain ligand-accessible pockets with appropriate volumes required for small-molecule binding. Given NPAS4's linkage to human diseases, the direct visualization of these PAS domains and the further understanding of their relative positioning and interconnections within the NPAS4-ARNT and NPAS4-ARNT2 heterodimers may provide a road map for therapeutic discovery targeting these complexes.
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7
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Imran SJ, Vagaska B, Kriska J, Anderova M, Bortolozzi M, Gerosa G, Ferretti P, Vrzal R. Aryl Hydrocarbon Receptor (AhR)-Mediated Signaling in iPSC-Derived Human Motor Neurons. Pharmaceuticals (Basel) 2022; 15:ph15070828. [PMID: 35890127 PMCID: PMC9321538 DOI: 10.3390/ph15070828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 06/26/2022] [Accepted: 07/01/2022] [Indexed: 12/04/2022] Open
Abstract
Exposure to environmental pollutants and endogenous metabolites that induce aryl hydrocarbon receptor (AhR) expression has been suggested to affect cognitive development and, particularly in boys, also motor function. As current knowledge is based on epidemiological and animal studies, in vitro models are needed to better understand the effects of these compounds in the human nervous system at the molecular level. Here, we investigated expression of AhR pathway components and how they are regulated by AhR ligands in human motor neurons. Motor neurons generated from human induced pluripotent stem cells (hiPSCs) were characterized at the molecular level and by electrophysiology. mRNA levels of AhR target genes, CYP1A1 and CYP1B1 (cytochromes P450 1A1/1B1), and AhR signaling components were monitored in hiPSCs and in differentiated neurons following treatment with AhR ligands, 2,3,7,8,-tetrachlodibenzo-p-dioxin (TCDD), L-kynurenine (L-Kyn), and kynurenic acid (KA), by RT-qPCR. Changes in AhR cellular localization and CYP1A1 activity in neurons treated with AhR ligands were also assessed. The neurons we generated express motor neuron-specific markers and are functional. Transcript levels of CYP1B1, AhR nuclear translocators (ARNT1 and ARNT2) and the AhR repressor (AhRR) change with neuronal differentiation, being significantly higher in neurons than hiPSCs. In contrast, CYP1A1 and AhR transcript levels are slightly lower in neurons than in hiPSCs. The response to TCDD treatment differs in hiPSCs and neurons, with only the latter showing significant CYP1A1 up-regulation. In contrast, TCDD slightly up-regulates CYP1B1 mRNA in hiPSCs, but downregulates it in neurons. Comparison of the effects of different AhR ligands on AhR and some of its target genes in neurons shows that L-Kyn and KA, but not TCDD, regulate AhR expression and differently affect CYP1A1 and CYP1B1 expression. Finally, although TCDD does not significantly affect AhR transcript levels, it induces AhR protein translocation to the nucleus and increases CYP1A1 activity. This is in contrast to L-Kyn and KA, which either do not affect or reduce, respectively, CYP1A1 activity. Expression of components of the AhR signaling pathway are regulated with neuronal differentiation and are differently affected by TCDD, suggesting that pluripotent stem cells might be less sensitive to this toxin than neurons. Crucially, AhR signaling is affected differently by TCDD and other AhR ligands in human motor neurons, suggesting that they can provide a valuable tool for assessing the impact of environmental pollutants.
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Affiliation(s)
- Saima Jalil Imran
- Department of Cell Biology and Genetics, Faculty of Science, 77147 Olomouc, Czech Republic
- Stem Cells and Regenerative Medicine Section, UCL Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, UK; (B.V.); (P.F.)
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy;
- Correspondence: (S.J.I.); (R.V.); Tel.: +39-498212410 (S.J.I.); +420-58-5634904 (R.V.)
| | - Barbora Vagaska
- Stem Cells and Regenerative Medicine Section, UCL Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, UK; (B.V.); (P.F.)
| | - Jan Kriska
- Department of Cellular Neurophysiology, Institute of Experimental Medicine, Czech Academy of Sciences, 14220 Prague, Czech Republic; (J.K.); (M.A.)
| | - Miroslava Anderova
- Department of Cellular Neurophysiology, Institute of Experimental Medicine, Czech Academy of Sciences, 14220 Prague, Czech Republic; (J.K.); (M.A.)
- Second Faculty of Medicine, Charles University, 15006 Prague, Czech Republic
| | - Mario Bortolozzi
- Department of Physics and Astronomy “G. Galilei”, University of Padua, 35131 Padua, Italy;
- Veneto Institute of Molecular Medicine (VIMM), 35129 Padua, Italy
| | - Gino Gerosa
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, 35128 Padua, Italy;
| | - Patrizia Ferretti
- Stem Cells and Regenerative Medicine Section, UCL Great Ormond Street Institute of Child Health, University College London, London WC1N 1EH, UK; (B.V.); (P.F.)
| | - Radim Vrzal
- Department of Cell Biology and Genetics, Faculty of Science, 77147 Olomouc, Czech Republic
- Correspondence: (S.J.I.); (R.V.); Tel.: +39-498212410 (S.J.I.); +420-58-5634904 (R.V.)
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8
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Rius FE, Papaiz DD, Azevedo HFZ, Ayub ALP, Pessoa DO, Oliveira TF, Loureiro APM, Andrade F, Fujita A, Reis EM, Mason CE, Jasiulionis MG. Genome-wide promoter methylation profiling in a cellular model of melanoma progression reveals markers of malignancy and metastasis that predict melanoma survival. Clin Epigenetics 2022; 14:68. [PMID: 35606887 PMCID: PMC9128240 DOI: 10.1186/s13148-022-01291-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 05/16/2022] [Indexed: 11/20/2022] Open
Abstract
The epigenetic changes associated with melanoma progression to advanced and metastatic stages are still poorly understood. To shed light on the CpG methylation dynamics during melanoma development, we analyzed the methylome profiles of a four-stage cell line model of melanoma progression: non-tumorigenic melanocytes (melan-a), premalignant melanocytes (4C), non-metastatic melanoma cells (4C11−), and metastatic melanoma cells (4C11+). We identified 540 hypo- and 37 hypermethylated gene promoters that together characterized a malignancy signature, and 646 hypo- and 520 hypermethylated promoters that distinguished a metastasis signature. Differentially methylated genes from these signatures were correlated with overall survival using TCGA-SKCM methylation data. Moreover, multivariate Cox analyses with LASSO regularization identified panels of 33 and 31 CpGs, respectively, from the malignancy and metastasis signatures that predicted poor survival. We found a concordant relationship between DNA methylation and transcriptional levels for genes from the malignancy (Pyroxd2 and Ptgfrn) and metastasis (Arnt2, Igfbp4 and Ptprf) signatures, which were both also correlated with melanoma prognosis. Altogether, this study reveals novel CpGs methylation markers associated with malignancy and metastasis that collectively could improve the survival prediction of melanoma patients.
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Affiliation(s)
- Flávia E Rius
- Departamento de Farmacologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Debora D Papaiz
- Departamento de Farmacologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Hatylas F Z Azevedo
- Divisão de Urologia, Departamento de Cirurgia, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Ana Luísa P Ayub
- Departamento de Farmacologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Diogo O Pessoa
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
| | - Tiago F Oliveira
- Departamento de Farmacociências, Universidade Federal de Ciências da Saúde de Porto Alegre, São Paulo, Brazil.,Departamento de Análises Clínicas e Toxicológicas, Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, São Paulo, Brazil
| | - Ana Paula M Loureiro
- Departamento de Análises Clínicas e Toxicológicas, Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, São Paulo, Brazil
| | - Fernando Andrade
- Bioinformatics Graduate Program, Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo, Brazil.,Department of Biology, Loyola University Chicago, Chicago, USA
| | - André Fujita
- Departamento de Ciências da Computação, Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo, Brazil
| | - Eduardo M Reis
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, São Paulo, Brazil
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, USA
| | - Miriam G Jasiulionis
- Departamento de Farmacologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, 04039-032, Brazil.
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9
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Miles FL, Mashchak A, Filippov V, Orlich MJ, Duerksen-Hughes P, Chen X, Wang C, Siegmund K, Fraser GE. DNA Methylation Profiles of Vegans and Non-Vegetarians in the Adventist Health Study-2 Cohort. Nutrients 2020; 12:E3697. [PMID: 33266012 PMCID: PMC7761449 DOI: 10.3390/nu12123697] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 11/20/2020] [Accepted: 11/23/2020] [Indexed: 12/17/2022] Open
Abstract
We sought to determine if DNA methylation patterns differed between vegans and non-vegetarians in the Adventist Health Study-2 cohort. Genome-wide DNA methylation derived from buffy coat was profiled in 62 vegans and 142 non-vegetarians. Using linear regression, methylation of CpG sites and genes was categorized or summarized according to various genic/intergenic regions and CpG island-related regions, as well as the promoter. Methylation of genes was measured as the average methylation of available CpG's annotated to the nominated region of the respective gene. A permutation method defining the null distribution adapted from Storey et al. was used to adjust for false discovery. Differences in methylation of several CpG sites and genes were detected at a false discovery rate < 0.05 in region-specific and overall analyses. A vegan diet was associated predominantly with hypomethylation of genes, most notably methyltransferase-like 1 (METTL1). Although a limited number of differentially methylated features were detected in the current study, the false discovery method revealed that a much larger proportion of differentially methylated genes and sites exist, and could be detected with a larger sample size. Our findings suggest modest differences in DNA methylation in vegans and non-vegetarians, with a much greater number of detectable significant differences expected with a larger sample.
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Affiliation(s)
- Fayth L. Miles
- Adventist Health Study, Loma Linda University, Loma Linda, CA 92350, USA; (F.L.M.); (A.M.); (M.J.O.)
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA
- Department of Preventive Medicine, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA
- Department of Basic Sciences, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA; (V.F.); (P.D.-H.); (X.C.); (C.W.)
| | - Andrew Mashchak
- Adventist Health Study, Loma Linda University, Loma Linda, CA 92350, USA; (F.L.M.); (A.M.); (M.J.O.)
| | - Valery Filippov
- Department of Basic Sciences, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA; (V.F.); (P.D.-H.); (X.C.); (C.W.)
| | - Michael J. Orlich
- Adventist Health Study, Loma Linda University, Loma Linda, CA 92350, USA; (F.L.M.); (A.M.); (M.J.O.)
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA
- Department of Medicine, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA
| | - Penelope Duerksen-Hughes
- Department of Basic Sciences, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA; (V.F.); (P.D.-H.); (X.C.); (C.W.)
| | - Xin Chen
- Department of Basic Sciences, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA; (V.F.); (P.D.-H.); (X.C.); (C.W.)
- Center for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA
| | - Charles Wang
- Department of Basic Sciences, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA; (V.F.); (P.D.-H.); (X.C.); (C.W.)
- Center for Genomics, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA
| | - Kimberly Siegmund
- Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA;
| | - Gary E. Fraser
- Adventist Health Study, Loma Linda University, Loma Linda, CA 92350, USA; (F.L.M.); (A.M.); (M.J.O.)
- Center for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA
- Department of Medicine, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA
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10
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Becquart P, Johnston J, Vilariño-Güell C, Quandt JA. Oligodendrocyte ARNT2 expression is altered in models of MS. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2020; 7:e745. [PMID: 32439712 PMCID: PMC7251514 DOI: 10.1212/nxi.0000000000000745] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Accepted: 03/16/2020] [Indexed: 12/30/2022]
Abstract
OBJECTIVE We examined expression of aryl hydrocarbon receptor nuclear translocator 2 (ARNT2), a basic-loop-helix transcription factor implicated in neuronal development and axonal health, in oligodendrocyte (OL) cultures and over the course of chronic experimental autoimmune encephalomyelitis (EAE), the murine model of multiple sclerosis (MS). METHODS We assessed OL ARNT2 expression in EAE compared with sham-immunized controls and also in OL primary cultures and over the course of dibutyryl cyclic adenosine monophosphate (dbcAMP)-mediated maturation of the immortalized Oli-neu cell line. We also tested the functional role of ARNT2 in influencing OL characteristics using small interfering RNA (siRNA). RESULTS ARNT2 is localized to Olig2+ cells in healthy spinal cord gray and white matter. Despite a significant expansion of Olig2+ cells in the white matter at peak disease, ARNT2 is reduced by almost half in OLs, along with a reduction in the percentage of ARNT2+/Olig2+ cells. Mature OLs in mixed cortical cultures or OLs matured from embryonic progenitors express negligible ARNT2. Similarly, Oli-neu cells express high levels of ARNT2, which are reduced following dbcAMP maturation. siRNA-mediated knockdown of ARNT2 affected OL viability, which led to an enrichment of myelin-producing OLs. CONCLUSION The analysis of ARNT2 expression in OLs demonstrates that OL ARNT2 expression is altered in EAE and during OL maturation. Findings point to ARNT2 as an important mediator of OL viability and differentiation and warrant further characterization as a target for intervention in demyelinating disorders such as MS.
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Affiliation(s)
- Pierre Becquart
- From the Department of Pathology and Laboratory Medicine (P.B., J.J., J.A.Q.), University of British Columbia, Vancouver, BC, Canada; and Department of Medical Genetics (C.V.-G.), University of British Columbia, Vancouver, BC, Canada
| | - Jake Johnston
- From the Department of Pathology and Laboratory Medicine (P.B., J.J., J.A.Q.), University of British Columbia, Vancouver, BC, Canada; and Department of Medical Genetics (C.V.-G.), University of British Columbia, Vancouver, BC, Canada
| | - Carles Vilariño-Güell
- From the Department of Pathology and Laboratory Medicine (P.B., J.J., J.A.Q.), University of British Columbia, Vancouver, BC, Canada; and Department of Medical Genetics (C.V.-G.), University of British Columbia, Vancouver, BC, Canada
| | - Jacqueline A Quandt
- From the Department of Pathology and Laboratory Medicine (P.B., J.J., J.A.Q.), University of British Columbia, Vancouver, BC, Canada; and Department of Medical Genetics (C.V.-G.), University of British Columbia, Vancouver, BC, Canada.
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11
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Noordam R, Bos MM, Wang H, Winkler TW, Bentley AR, Kilpeläinen TO, de Vries PS, Sung YJ, Schwander K, Cade BE, Manning A, Aschard H, Brown MR, Chen H, Franceschini N, Musani SK, Richard M, Vojinovic D, Aslibekyan S, Bartz TM, de Las Fuentes L, Feitosa M, Horimoto AR, Ilkov M, Kho M, Kraja A, Li C, Lim E, Liu Y, Mook-Kanamori DO, Rankinen T, Tajuddin SM, van der Spek A, Wang Z, Marten J, Laville V, Alver M, Evangelou E, Graff ME, He M, Kühnel B, Lyytikäinen LP, Marques-Vidal P, Nolte IM, Palmer ND, Rauramaa R, Shu XO, Snieder H, Weiss S, Wen W, Yanek LR, Adolfo C, Ballantyne C, Bielak L, Biermasz NR, Boerwinkle E, Dimou N, Eiriksdottir G, Gao C, Gharib SA, Gottlieb DJ, Haba-Rubio J, Harris TB, Heikkinen S, Heinzer R, Hixson JE, Homuth G, Ikram MA, Komulainen P, Krieger JE, Lee J, Liu J, Lohman KK, Luik AI, Mägi R, Martin LW, Meitinger T, Metspalu A, Milaneschi Y, Nalls MA, O'Connell J, Peters A, Peyser P, Raitakari OT, Reiner AP, Rensen PCN, Rice TK, Rich SS, Roenneberg T, Rotter JI, Schreiner PJ, Shikany J, Sidney SS, Sims M, Sitlani CM, Sofer T, Strauch K, Swertz MA, Taylor KD, Uitterlinden AG, van Duijn CM, Völzke H, Waldenberger M, Wallance RB, van Dijk KW, Yu C, Zonderman AB, Becker DM, Elliott P, Esko T, Gieger C, Grabe HJ, Lakka TA, Lehtimäki T, North KE, Penninx BWJH, Vollenweider P, Wagenknecht LE, Wu T, Xiang YB, Zheng W, Arnett DK, Bouchard C, Evans MK, Gudnason V, Kardia S, Kelly TN, Kritchevsky SB, Loos RJF, Pereira AC, Province M, Psaty BM, Rotimi C, Zhu X, Amin N, Cupples LA, Fornage M, Fox EF, Guo X, Gauderman WJ, Rice K, Kooperberg C, Munroe PB, Liu CT, Morrison AC, Rao DC, van Heemst D, Redline S. Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration. Nat Commun 2019; 10:5121. [PMID: 31719535 PMCID: PMC6851116 DOI: 10.1038/s41467-019-12958-0] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 10/04/2019] [Indexed: 12/12/2022] Open
Abstract
Both short and long sleep are associated with an adverse lipid profile, likely through different biological pathways. To elucidate the biology of sleep-associated adverse lipid profile, we conduct multi-ancestry genome-wide sleep-SNP interaction analyses on three lipid traits (HDL-c, LDL-c and triglycerides). In the total study sample (discovery + replication) of 126,926 individuals from 5 different ancestry groups, when considering either long or short total sleep time interactions in joint analyses, we identify 49 previously unreported lipid loci, and 10 additional previously unreported lipid loci in a restricted sample of European-ancestry cohorts. In addition, we identify new gene-sleep interactions for known lipid loci such as LPL and PCSK9. The previously unreported lipid loci have a modest explained variance in lipid levels: most notable, gene-short-sleep interactions explain 4.25% of the variance in triglyceride level. Collectively, these findings contribute to our understanding of the biological mechanisms involved in sleep-associated adverse lipid profiles. Sleep duration is associated with an adverse lipid profile. Here, the authors perform genome-wide gene-by-sleep interaction analysis and find 49 previously unreported lipid loci when considering short or long total sleep time.
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Affiliation(s)
- Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
| | - Maxime M Bos
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark.,Department of Environmental Medicine and Public Health, The Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yun Ju Sung
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Karen Schwander
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Alisa Manning
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Hugues Aschard
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.,Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur, Paris, France
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.,Center for Precision Health, School of Public Health & School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Solomon K Musani
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Melissa Richard
- Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Dina Vojinovic
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Biostatistics and Medicine, University of Washington, Seattle, WA, USA
| | - Lisa de Las Fuentes
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA.,Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Mary Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrea R Horimoto
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil
| | | | - Minjung Kho
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Aldi Kraja
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Changwei Li
- Epidemiology and Biostatistics, University of Georgia at Athens College of Public Health, Athens, GA, USA
| | - Elise Lim
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Yongmei Liu
- Public Health Sciences, Epidemiology and Prevention, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands.,Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Salman M Tajuddin
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Ashley van der Spek
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Zhe Wang
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jonathan Marten
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Vincent Laville
- Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur, Paris, France
| | - Maris Alver
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.,Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Evangelos Evangelou
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.,Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Maria E Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Meian He
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Brigitte Kühnel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.,Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Pedro Marques-Vidal
- Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Ilja M Nolte
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | | | - Rainer Rauramaa
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Harold Snieder
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Lisa R Yanek
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Correa Adolfo
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Christie Ballantyne
- Section of Cardiovascular Research, Baylor College of Medicine, Houston, TX, USA.,Houston Methodist Debakey Heart and Vascular Center, Houston, TX, USA
| | - Larry Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Nienke R Biermasz
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.,Einthoven Laboratory for Experimental Vascular Medicine, Leiden, The Netherlands
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.,Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Niki Dimou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | | | - Chuan Gao
- Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Medicine, University of Washington, Seattle, WA, USA
| | - Daniel J Gottlieb
- Division of Sleep and Circadian Disorders, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA.,VA Boston Healthcare System, Boston, MA, USA
| | - José Haba-Rubio
- Medicine, Sleep Laboratory, Lausanne University Hospital, Lausanne, Switzerland
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Sami Heikkinen
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland.,Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Finland
| | - Raphaël Heinzer
- Medicine, Sleep Laboratory, Lausanne University Hospital, Lausanne, Switzerland
| | - James E Hixson
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Pirjo Komulainen
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Jose E Krieger
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Jingmin Liu
- Fred Hutchinson Cancer Research Center, University of Washington School of Public Health, Seattle, WA, USA
| | - Kurt K Lohman
- Public Health Sciences, Biostatistical Sciences, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Lisa W Martin
- Cardiology, School of Medicine and Health Sciences, George Washington University, Washington, D.C., USA
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Andres Metspalu
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.,Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Yuri Milaneschi
- Cardiology, School of Medicine and Health Sciences, George Washington University, Washington, D.C., USA
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA.,Data Tecnica International, Glen Echo, MD, USA
| | - Jeff O'Connell
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA.,Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Neuherberg, Germany
| | - Patricia Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland.,University of Turku, Turku, Finland
| | - Alex P Reiner
- Fred Hutchinson Cancer Research Center, University of Washington School of Public Health, Seattle, WA, USA
| | - Patrick C N Rensen
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.,Einthoven Laboratory for Experimental Vascular Medicine, Leiden, The Netherlands
| | - Treva K Rice
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Till Roenneberg
- Institute of Medical Psychology, Ludwig-Maximilians-Universitat Munchen, Munich, Germany
| | - Jerome I Rotter
- Genomic Outcomes, Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CC, USA
| | - Pamela J Schreiner
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - James Shikany
- Division of Preventive Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Stephen S Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Mario Sims
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Medicine, University of Washington, Seattle, WA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.,Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute for Medical Informatics Biometry and Epidemiology, Ludwig-Maximilians-Universitat Munchen, Munich, Germany
| | - Morris A Swertz
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
| | - Kent D Taylor
- Genomic Outcomes, Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CC, USA
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.,Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Neuherberg, Germany
| | - Robert B Wallance
- Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA, USA
| | - Ko Willems van Dijk
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.,Einthoven Laboratory for Experimental Vascular Medicine, Leiden, The Netherlands.,Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Caizheng Yu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Alan B Zonderman
- Behavioral Epidemiology Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Diane M Becker
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Paul Elliott
- Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.,MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,National Institute of Health Research Imperial College London Biomedical Research Centre, London, UK.,UK-DRI Dementia Research Institute at Imperial College London, London, UK
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.,Broad Institute of the Massachusetts Institute of Technology and Harvard University, Boston, MA, USA
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Hans J Grabe
- Department Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Timo A Lakka
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland.,Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Finland.,Department of Clinical Phsiology and Nuclear Medicine, Kuopia University Hospital, Kuopio, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.,Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Peter Vollenweider
- Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Lynne E Wagenknecht
- Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Tangchun Wu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yong-Bing Xiang
- SKLORG & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P. R. China
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Donna K Arnett
- Dean's Office, University of Kentucky College of Public Health, Lexington, KS, USA
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Michele K Evans
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Sharon Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Tanika N Kelly
- Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Stephen B Kritchevsky
- Sticht Center for Healthy Aging and Rehabilitation, Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA.,The Mindich Child Health Development Institute, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alexandre C Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil
| | - Mike Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Epidemiology, Medicine and Health Services, University of Washington, Seattle, WA, USA.,Kaiser Permanente Washington, Health Research Institute, Seattle, WA, USA
| | - Charles Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Xiaofeng Zhu
- Department of Population Quantitative and Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.,NHLBI Framingham Heart Study, Framingham, MA, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ervin F Fox
- Cardiology, Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Xiuqing Guo
- Genomic Outcomes, Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CC, USA
| | - W James Gauderman
- Biostatistics, Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Charles Kooperberg
- Fred Hutchinson Cancer Research Center, University of Washington School of Public Health, Seattle, WA, USA
| | - Patricia B Munroe
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.,NIHR Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, London, UK
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Dabeeru C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA. .,Division of Pulmonary Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
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12
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Ma J, Lwigale P. Transformation of the Transcriptomic Profile of Mouse Periocular Mesenchyme During Formation of the Embryonic Cornea. Invest Ophthalmol Vis Sci 2019; 60:661-676. [PMID: 30786278 PMCID: PMC6383728 DOI: 10.1167/iovs.18-26018] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Purpose Defects in neural crest development are a major contributing factor in corneal dysgenesis, but little is known about the genetic landscape during corneal development. The purpose of this study was to provide a detailed transcriptome profile and evaluate changes in gene expression during mouse corneal development. Methods RNA sequencing was used to uncover the transcriptomic profile of periocular mesenchyme (pNC) isolated at embryonic day (E) 10.5 and corneas isolated at E14.5 and E16.5. The spatiotemporal expression of several differentially expressed genes was validated by in situ hybridization. Results Analysis of the whole-transcriptome profile between pNC and embryonic corneas identified 3815 unique differentially expressed genes. Pathway analysis revealed an enrichment of differentially expressed genes involved in signal transduction (retinoic acid, transforming growth factor-β, and Wnt pathways) and transcriptional regulation. Conclusions Our analyses, for the first time, identify a large number of differentially expressed genes during progressive stages of mouse corneal development. Our data provide a comprehensive transcriptomic profile of the developing cornea. Combined, these data serve as a valuable resource for the identification of novel regulatory networks crucial for the advancement of studies in congenital defects, stem cell therapy, bioengineering, and adult corneal diseases.
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Affiliation(s)
- Justin Ma
- BioSciences Department, Rice University, Houston, Texas, United States
| | - Peter Lwigale
- BioSciences Department, Rice University, Houston, Texas, United States
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13
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Rahim T, Becquart P, Baeva ME, Quandt J. Expression of the neuroprotective protein aryl hydrocarbon receptor nuclear translocator 2 correlates with neuronal stress and disability in models of multiple sclerosis. J Neuroinflammation 2018; 15:270. [PMID: 30231889 PMCID: PMC6145183 DOI: 10.1186/s12974-018-1290-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Accepted: 08/23/2018] [Indexed: 01/07/2023] Open
Abstract
Background Axonal degeneration and neuronal loss have been described as the major causes of irreversible clinical disability in multiple sclerosis (MS). The aryl-hydrocarbon receptor nuclear translocator 2 (ARNT2) protein has been associated with neuroprotection in models of ischemia and neuronal responses to stressors. Methods To characterize its potential to influence inflammatory neurodegeneration, we examined ARNT2 expression in the experimental autoimmune encephalomyelitis (EAE) model of MS and characterized mediators that influence ARNT2 expression as well as plausible partners and targets. Results Arnt2 message and protein levels dropped significantly in EAE spinal cords as disease developed and were lowest at peak disability. ARNT2 expression is prominent in neuronal cell bodies within the gray matter with some staining in glial fibrillary acidic protein (GFAP)+ astrocytes in healthy animals. At peak disease, ARNT2 expression is reduced by 20–50% in gray matter neurons compared to healthy controls. ARNT2 intensity in neurons throughout the EAE spinal cord correlated inversely with the degree of immune cell infiltration (r = − 0.5085, p < 0.01) and axonal damage identified with SMI32 staining (r = − 0.376, p = 0.032). To understand the relationship between ARNT2 expression and neuronal health, we exposed enriched cortical cultures of neurons to hydrogen peroxide (H2O2) to mimic oxidative stress. H2O2 at lower doses rapidly increased ARNT2 protein levels which returned to baseline within 3–4 h. Exposure to higher doses of H2O2) dropped ARNT2 levels below baseline, preceding cytotoxicity measured by morphological changes and lactate dehydrogenase release from cells. Decreases in ARNT2 secondary to staurosporine and H2O2 preceded increases in cleaved caspase 3 and associated apoptosis. We also examined expression of neuronal pas 4 (Npas4), whose heterodimerization with ARNT2 drives expression of the neurotrophic factor brain-derived neurotrophic factor (Bdnf). Like ARNT2, Npas4 levels also decline at the onset of EAE and are linked to decreases in Bdnf. In vitro, H2O2 exposure drives Npas4 expression that is tied to increases in Bdnf. Conclusion Our data support ARNT2 as a neuronal transcription factor whose sustained expression is linked to neuronal and axonal health, protection that may primarily be driven through its partnering with Npas4 to influence BDNF expression. Electronic supplementary material The online version of this article (10.1186/s12974-018-1290-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Tissa Rahim
- Department of Pathology and Laboratory Medicine, University of British Columbia, G227-2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Pierre Becquart
- Department of Pathology and Laboratory Medicine, University of British Columbia, G227-2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Maria-Elizabeth Baeva
- Department of Pathology and Laboratory Medicine, University of British Columbia, G227-2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Jacqueline Quandt
- Department of Pathology and Laboratory Medicine, University of British Columbia, G227-2211 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada.
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14
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Overexpression of ARNT2 is associated with decreased cell proliferation and better prognosis in gastric cancer. Mol Cell Biochem 2018; 450:97-103. [PMID: 29948506 DOI: 10.1007/s11010-018-3376-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Accepted: 05/25/2018] [Indexed: 01/15/2023]
Abstract
Aryl hydrocarbon-receptor nuclear translocator (ARNT2) is a member of the bHLH PAS (basic helix-loop-helix Period/ARNT/Single-minded) family of transcription factors. Recently, some studies indicate that ARNT2 is associated with the occurrence and development of carcinoma. However, its roles in gastric cancer (GC) remain unclear. In the present study, we found that ARNT2 expression level is lower in GC tissues compared with adjacent non-tumor tissues, and negatively correlated with depth of invasion of the tumor, differentiated degree, and poor survival of GC patients. Overexpression of ARNT2 inhibits cell proliferation. Furthermore, AKT pathway contributed to ARNT2 -mediated PC proliferation. Taken together, our results provide the first evidence that high expression of ARNT2 inhibited proliferation of GC cells and affected tumor aggressiveness in GC patients.
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15
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Hida N, Aboukilila MY, Burow DA, Paul R, Greenberg MM, Fazio M, Beasley S, Spitale RC, Cleary MD. EC-tagging allows cell type-specific RNA analysis. Nucleic Acids Res 2017. [PMID: 28641402 PMCID: PMC5587779 DOI: 10.1093/nar/gkx551] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Purification of cell type-specific RNAs remains a significant challenge. One solution involves biosynthetic tagging of target RNAs. RNA tagging via incorporation of 4-thiouracil (TU) in cells expressing transgenic uracil phosphoribosyltransferase (UPRT), a method known as TU-tagging, has been used in multiple systems but can have limited specificity due to endogenous pathways of TU incorporation. Here, we describe an alternative method that requires the activity of two enzymes: cytosine deaminase (CD) and UPRT. We found that the sequential activity of these enzymes converts 5-ethynylcytosine (EC) to 5-ethynyluridine monophosphate that is subsequently incorporated into nascent RNAs. The ethynyl group allows efficient detection and purification of tagged RNAs. We show that ‘EC-tagging’ occurs in tissue culture cells and Drosophila engineered to express CD and UPRT. Additional control can be achieved through a split-CD approach in which functional CD is reconstituted from independently expressed fragments. We demonstrate the sensitivity and specificity of EC-tagging by obtaining cell type-specific gene expression data from intact Drosophila larvae, including transcriptome measurements from a small population of central brain neurons. EC-tagging provides several advantages over existing techniques and should be broadly useful for investigating the role of differential RNA expression in cell identity, physiology and pathology.
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Affiliation(s)
- Naoki Hida
- Molecular and Cell Biology Unit, Quantitative and Systems Biology Graduate Program, University of California, Merced, CA 95343, USA
| | - Mohamed Y Aboukilila
- Molecular and Cell Biology Unit, Quantitative and Systems Biology Graduate Program, University of California, Merced, CA 95343, USA
| | - Dana A Burow
- Molecular and Cell Biology Unit, Quantitative and Systems Biology Graduate Program, University of California, Merced, CA 95343, USA
| | - Rakesh Paul
- Department of Chemistry, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Marc M Greenberg
- Department of Chemistry, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Michael Fazio
- Department of Pharmaceutical Sciences and Department of Chemistry, University of California, Irvine, CA 92697, USA
| | - Samantha Beasley
- Department of Pharmaceutical Sciences and Department of Chemistry, University of California, Irvine, CA 92697, USA
| | - Robert C Spitale
- Department of Pharmaceutical Sciences and Department of Chemistry, University of California, Irvine, CA 92697, USA
| | - Michael D Cleary
- Molecular and Cell Biology Unit, Quantitative and Systems Biology Graduate Program, University of California, Merced, CA 95343, USA
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16
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Aryl hydrocarbon receptor (AHR): "pioneer member" of the basic-helix/loop/helix per-Arnt-sim (bHLH/PAS) family of "sensors" of foreign and endogenous signals. Prog Lipid Res 2017; 67:38-57. [PMID: 28606467 DOI: 10.1016/j.plipres.2017.06.001] [Citation(s) in RCA: 172] [Impact Index Per Article: 24.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Revised: 05/05/2017] [Accepted: 06/05/2017] [Indexed: 12/21/2022]
Abstract
The basic-helix/loop/helix per-Arnt-sim (bHLH/PAS) family comprises many transcription factors, found throughout all three kingdoms of life; bHLH/PAS members "sense" innumerable intracellular and extracellular "signals" - including endogenous compounds, foreign chemicals, gas molecules, redox potential, photons (light), gravity, heat, and osmotic pressure. These signals then initiate downstream signaling pathways involved in responding to that signal. The term "PAS", abbreviation for "per-Arnt-sim" was first coined in 1991. Although the mouse Arnt gene was not identified until 1991, evidence of its co-transcriptional binding partner, aryl hydrocarbon receptor (AHR), was first reported in 1974 as a "sensor" of foreign chemicals, up-regulating cytochrome P450 family 1 (CYP1) and other enzyme activities that usually metabolize the signaling chemical. Within a few years, AHR was proposed also to participate in inflammation. The mouse [Ah] locus was shown (1973-1989) to be relevant to chemical carcinogenesis, mutagenesis, toxicity and teratogenesis, the mouse Ahr gene was cloned in 1992, and the first Ahr(-/-) knockout mouse line was reported in 1995. After thousands of studies from the early 1970s to present day, we now realize that AHR participates in dozens of signaling pathways involved in critical-life processes, affecting virtually every organ and cell-type in the animal, including many invertebrates.
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17
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Garcez PP, Nascimento JM, de Vasconcelos JM, Madeiro da Costa R, Delvecchio R, Trindade P, Loiola EC, Higa LM, Cassoli JS, Vitória G, Sequeira PC, Sochacki J, Aguiar RS, Fuzii HT, de Filippis AMB, da Silva Gonçalves Vianez Júnior JL, Tanuri A, Martins-de-Souza D, Rehen SK. Zika virus disrupts molecular fingerprinting of human neurospheres. Sci Rep 2017; 7:40780. [PMID: 28112162 PMCID: PMC5256095 DOI: 10.1038/srep40780] [Citation(s) in RCA: 88] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Accepted: 12/09/2016] [Indexed: 11/08/2022] Open
Abstract
Zika virus (ZIKV) has been associated with microcephaly and other brain abnormalities; however, the molecular consequences of ZIKV to human brain development are still not fully understood. Here we describe alterations in human neurospheres derived from induced pluripotent stem (iPS) cells infected with the strain of Zika virus that is circulating in Brazil. Combining proteomics and mRNA transcriptional profiling, over 500 proteins and genes associated with the Brazilian ZIKV infection were found to be differentially expressed. These genes and proteins provide an interactome map, which indicates that ZIKV controls the expression of RNA processing bodies, miRNA biogenesis and splicing factors required for self-replication. It also suggests that impairments in the molecular pathways underpinning cell cycle and neuronal differentiation are caused by ZIKV. These results point to biological mechanisms implicated in brain malformations, which are important to further the understanding of ZIKV infection and can be exploited as therapeutic potential targets to mitigate it.
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Affiliation(s)
- Patricia P. Garcez
- D’Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
- Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Juliana Minardi Nascimento
- D’Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
- Institute of Biology, Department of Biochemistry and Tissue Biology, University of Campinas (UNICAMP), Campinas, Brazil
| | | | | | - Rodrigo Delvecchio
- Institute of Biology, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Pablo Trindade
- D’Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | | | - Luiza M. Higa
- Institute of Biology, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Juliana S. Cassoli
- Institute of Biology, Department of Biochemistry and Tissue Biology, University of Campinas (UNICAMP), Campinas, Brazil
| | - Gabriela Vitória
- D’Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | | | - Jaroslaw Sochacki
- D’Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | - Renato S. Aguiar
- Institute of Biology, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | | | | | | | - Amilcar Tanuri
- Institute of Biology, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Daniel Martins-de-Souza
- Institute of Biology, Department of Biochemistry and Tissue Biology, University of Campinas (UNICAMP), Campinas, Brazil
| | - Stevens K. Rehen
- D’Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
- Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
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18
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Sullivan AE, Peet DJ, Whitelaw ML. MAGED1 is a novel regulator of a select subset of bHLH PAS transcription factors. FEBS J 2016; 283:3488-502. [PMID: 27472814 DOI: 10.1111/febs.13824] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Revised: 07/19/2016] [Accepted: 07/27/2016] [Indexed: 01/04/2023]
Abstract
Transcription factors of the basic helix-loop-helix (bHLH) PER-ARNT-SIM (PAS) family generally have critical and nonredundant biological roles, but some bHLH PAS proteins compete for common cofactors or recognise similar DNA elements. Identifying factors that regulate function of bHLH PAS proteins, particularly in cells where multiple family members are coexpressed, is important for understanding bHLH PAS factor biology. This study identifies and characterises a novel interaction between melanoma-associated antigen D1 (MAGED1) and select members of the bHLH PAS transcription factor family. MAGED1 binds and positively regulates the transcriptional activity of family members SIM1, SIM2, NPAS4 and ARNT2, but does not interact with AhR, HIF1α and ARNT. This interaction is mediated by PAS repeat regions which also form the interface for bHLH PAS dimerisation, and accordingly MAGED1 is not found in complex with bHLH PAS dimers. We show that MAGED1 does not affect bHLH PAS protein levels and cannot be acting as a coactivator of transcriptionally active heterodimers, but rather appears to interact with nascent bHLH PAS proteins in the cytoplasm to enhance their function prior to nuclear import. As a selective regulator, MAGED1 may play an important role in the biology of these specific factors and in general bHLH PAS protein dynamics.
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Affiliation(s)
- Adrienne E Sullivan
- Department of Molecular and Cellular Biology, University of Adelaide, Australia.
| | - Daniel J Peet
- Department of Molecular and Cellular Biology, University of Adelaide, Australia
| | - Murray L Whitelaw
- Department of Molecular and Cellular Biology, University of Adelaide, Australia
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19
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Tabe S, Hikiji H, Ariyoshi W, Hashidate‐Yoshida T, Shindou H, Okinaga T, Shimizu T, Tominaga K, Nishihara T. Lysophosphatidylethanolamine acyltransferase 1/membrane‐bound
O
‐acyltransferase 1 regulates morphology and function of P19C6 cell‐derived neurons. FASEB J 2016; 30:2591-601. [DOI: 10.1096/fj.201500097r] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Accepted: 03/28/2016] [Indexed: 01/13/2023]
Affiliation(s)
- Shirou Tabe
- Division of Infections and Molecular BiologyDepartment of Health PromotionKyushu Dental UniversityKitakyushuJapan
- Division of Oral and Maxillofacial SurgeryDepartment of Science of Physical FunctionsKyushu Dental UniversityKitakyushuJapan
| | - Hisako Hikiji
- Department of Oral Functional ManagementKyushu Dental UniversityKitakyushuJapan
| | - Wataru Ariyoshi
- Division of Infections and Molecular BiologyDepartment of Health PromotionKyushu Dental UniversityKitakyushuJapan
| | - Tomomi Hashidate‐Yoshida
- Department of Lipid SignalingResearch InstituteNational Center for Global Health and MedicineTokyoJapan
| | - Hideo Shindou
- Department of Lipid SignalingResearch InstituteNational Center for Global Health and MedicineTokyoJapan
- Agency for Medical Research and Development‐Core Research for Evolutionary Science and Technology (AMED‐CREST)TokyoJapan
| | - Toshinori Okinaga
- Division of Infections and Molecular BiologyDepartment of Health PromotionKyushu Dental UniversityKitakyushuJapan
| | - Takao Shimizu
- Department of Lipid SignalingResearch InstituteNational Center for Global Health and MedicineTokyoJapan
- Department of LipidomicsGraduate School of MedicineThe University of TokyoTokyoJapan
| | - Kazuhiro Tominaga
- Division of Oral and Maxillofacial SurgeryDepartment of Science of Physical FunctionsKyushu Dental UniversityKitakyushuJapan
| | - Tatsuji Nishihara
- Division of Infections and Molecular BiologyDepartment of Health PromotionKyushu Dental UniversityKitakyushuJapan
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20
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Kimura Y, Kasamatsu A, Nakashima D, Yamatoji M, Minakawa Y, Koike K, Fushimi K, Higo M, Endo-Sakamoto Y, Shiiba M, Tanzawa H, Uzawa K. ARNT2 Regulates Tumoral Growth in Oral Squamous Cell Carcinoma. J Cancer 2016; 7:702-10. [PMID: 27076852 PMCID: PMC4829557 DOI: 10.7150/jca.14208] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Accepted: 01/22/2016] [Indexed: 01/22/2023] Open
Abstract
Aryl hydrocarbon receptor nuclear translocator (ARNT) 2 is a transcriptional factor related to adaptive responses against cellular stress from a xenobiotic substance. Recent evidence indicates ARNT is involved in carcinogenesis and cancer progression; however, little is known about the relevance of ARNT2 in the behavior of oral squamous cell carcinoma (OSCC). In the current study, we evaluated the ARNT2 mRNA and protein expression levels in OSCC in vitro and in vivo and the clinical relationship between ARNT2 expression levels in primary OSCCs and their clinicopathologic status by quantitative reverse transcriptase-polymerase chain reaction, immunoblotting, and immunohistochemistry. Using ARNT2 overexpression models, we performed functional analyses to investigate the critical roles of ARNT2 in OSCC. ARNT2 mRNA and protein were down-regulated significantly (P < 0.05 for both comparisons) in nine OSCC-derived cells and primary OSCC (n=100 patients) compared with normal counterparts. In addition to the data from exogenous experiments that ARNT2-overexpressed cells showed decreased cellular proliferation, ARNT2-positive OSCC cases were correlated significantly (P < 0.05) with tumoral size. Since von Hippel-Lindau tumor suppressor, E3 ubiquitin protein ligase, a negative regulator of hypoxia-inducible factor (HIF1)-α, is a downstream molecule of ARNT2, we speculated that HIF1-α and its downstream molecules would have key functions in cellular growth. Consistent with our hypothesis, overexpressed ARNT2 cells showed down-regulation of HIF1-α, which causes hypofunctioning of glucose transporter 1, leading to decreased cellular growth. Our results proposed for the first time that the ARNT2 level is an indicator of cellular proliferation in OSCCs. Therefore, ARNT2 may be a potential therapeutic target against progression of OSCCs.
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Affiliation(s)
- Yasushi Kimura
- 1. Department of Oral Science, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
| | - Atsushi Kasamatsu
- 2. Department of Dentistry and Oral-Maxillofacial Surgery, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
| | - Dai Nakashima
- 2. Department of Dentistry and Oral-Maxillofacial Surgery, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
| | - Masanobu Yamatoji
- 2. Department of Dentistry and Oral-Maxillofacial Surgery, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
| | - Yasuyuki Minakawa
- 1. Department of Oral Science, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
| | - Kazuyuki Koike
- 2. Department of Dentistry and Oral-Maxillofacial Surgery, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
| | - Kazuaki Fushimi
- 2. Department of Dentistry and Oral-Maxillofacial Surgery, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
| | - Morihiro Higo
- 2. Department of Dentistry and Oral-Maxillofacial Surgery, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
| | - Yosuke Endo-Sakamoto
- 2. Department of Dentistry and Oral-Maxillofacial Surgery, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
| | - Masashi Shiiba
- 3. Department of Medical Oncology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
| | - Hideki Tanzawa
- 1. Department of Oral Science, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan;; 2. Department of Dentistry and Oral-Maxillofacial Surgery, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
| | - Katsuhiro Uzawa
- 1. Department of Oral Science, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan;; 2. Department of Dentistry and Oral-Maxillofacial Surgery, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan
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Imran S, Ferretti P, Vrzal R. Different regulation of aryl hydrocarbon receptor-regulated genes in response to dioxin in undifferentiated and neuronally differentiated human neuroblastoma SH-SY5Y cells. Toxicol Mech Methods 2015; 25:689-97. [DOI: 10.3109/15376516.2015.1070227] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Saima Imran
- Department of Cell Biology and Genetics, Faculty of Science, Palacky University, Olomouc, Czech Republic and
| | - Patrizia Ferretti
- Stem Cells and Regenerative Medicine Section, UCL Institute of Child Health, London, UK
| | - Radim Vrzal
- Department of Cell Biology and Genetics, Faculty of Science, Palacky University, Olomouc, Czech Republic and
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Bersten DC, Sullivan AE, Li D, Bhakti V, Bent SJ, Whitelaw ML. Inducible and reversible lentiviral and Recombination Mediated Cassette Exchange (RMCE) systems for controlling gene expression. PLoS One 2015; 10:e0116373. [PMID: 25768837 PMCID: PMC4358958 DOI: 10.1371/journal.pone.0116373] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2014] [Accepted: 12/08/2014] [Indexed: 11/19/2022] Open
Abstract
Manipulation of gene expression to invoke loss of function (LoF) or gain of function (GoF) phenotypes is important for interrogating complex biological questions both in vitro and in vivo. Doxycycline (Dox)-inducible gene expression systems are commonly used although success is often limited by high background and insufficient sensitivity to Dox. Here we develop broadly applicable platforms for reliable, tightly controlled and reversible Dox-inducible systems for lentiviral mediated generation of cell lines or FLP Recombination-Mediated Cassette Exchange (RMCE) into the Collagen 1a1 (Col1a1) locus (FLP-In Col1a1) in mouse embryonic stem cells. We significantly improve the flexibility, usefulness and robustness of the Dox-inducible system by using Tetracycline (Tet) activator (Tet-On) variants which are more sensitive to Dox, have no background activity and are expressed from single Gateway-compatible constructs. We demonstrate the usefulness of these platforms in ectopic gene expression or gene knockdown in multiple cell lines, primary neurons and in FLP-In Col1a1 mouse embryonic stem cells. We also improve the flexibility of RMCE Dox-inducible systems by generating constructs that allow for tissue or cell type-specific Dox-inducible expression and generate a shRNA selection algorithm that can effectively predict potent shRNA sequences able to knockdown gene expression from single integrant constructs. These platforms provide flexible, reliable and broadly applicable inducible expression systems for studying gene function.
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Affiliation(s)
- David C. Bersten
- School of Molecular and Biomedical Science (Biochemistry), The University of Adelaide, Adelaide, South Australia, Australia
- Institute of Molecular Pathology, The University of Adelaide, Adelaide, South Australia, Australia
- * E-mail: (MLW); (DCB)
| | - Adrienne E. Sullivan
- School of Molecular and Biomedical Science (Biochemistry), The University of Adelaide, Adelaide, South Australia, Australia
- Institute of Molecular Pathology, The University of Adelaide, Adelaide, South Australia, Australia
| | - Dian Li
- School of Molecular and Biomedical Science (Biochemistry), The University of Adelaide, Adelaide, South Australia, Australia
- Institute of Molecular Pathology, The University of Adelaide, Adelaide, South Australia, Australia
| | - Veronica Bhakti
- School of Molecular and Biomedical Science (Biochemistry), The University of Adelaide, Adelaide, South Australia, Australia
- Institute of Molecular Pathology, The University of Adelaide, Adelaide, South Australia, Australia
| | - Stephen J. Bent
- School of Molecular and Biomedical Science (Genetics), The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Murray L. Whitelaw
- School of Molecular and Biomedical Science (Biochemistry), The University of Adelaide, Adelaide, South Australia, Australia
- Institute of Molecular Pathology, The University of Adelaide, Adelaide, South Australia, Australia
- * E-mail: (MLW); (DCB)
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Differential distribution of hypoxia-inducible factor 1-beta (ARNT or ARNT2) in mouse substantia nigra and ventral tegmental area. J Chem Neuroanat 2014; 61-62:64-71. [DOI: 10.1016/j.jchemneu.2014.07.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2014] [Revised: 06/03/2014] [Accepted: 07/02/2014] [Indexed: 01/27/2023]
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García-Heredia JM, Felipe-Abrio B, Cano DA, Carnero A. Genetic modification of hypoxia signaling in animal models and its effect on cancer. Clin Transl Oncol 2014; 17:90-102. [PMID: 25351170 DOI: 10.1007/s12094-014-1236-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2014] [Accepted: 09/24/2014] [Indexed: 12/19/2022]
Abstract
Conditions that cause hypoxemia or generalized tissue hypoxia, which can last for days, months, or even years, are very common in the human population and are among the leading causes of morbidity, disability, and mortality. Therefore, the molecular pathophysiology of hypoxia and its potential deleterious effects on human health are important issues at the forefront of biomedical research. Generalized hypoxia is a consequence of highly prevalent medical disorders that can severely reduce the capacity for O2 exchange between the air and pulmonary capillaries. In recent years, some of the key O2-dependent signaling pathways have been characterized at the molecular level. In particular, the prolyl hydroxylase (PHD)-hypoxia-inducible factor (HIF) cascade has emerged as the master regulator of a general gene expression program involved in cell/tissue/organ adaptation to hypoxia. Hypoxia has emerged as a critical factor in cancer because it can promote tumor initiation, progression, and resistance to therapy. Beyond its role in neovascularization as a mechanism of tumor adaptation to nutrient and O2 deprivation, hypoxia has been linked to prolonged cellular lifespan and immortalization, the generation of "oncometabolites", deregulation of stem cell proliferation, and inflammation, among other tumor hallmarks. Hypoxia may contribute to cancer through several independent pathways, the inter-connections of which have yet to be elucidated. Furthermore, the relevance of chronic hypoxemia in the initiation and progression of cancer has not been studied in depth in the whole organism. Therefore, we explore here the contributions of hypoxia to the whole organism by reviewing studies on genetically modified mice with alterations in the key molecular factors regulating hypoxia.
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Affiliation(s)
- J M García-Heredia
- Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocio/CSIC/Universidad de Sevilla, 41013, Seville, Spain
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Abstract
Mammalian basic HLH (helix-loop-helix)-PER-ARNT-SIM (bHLH-PAS) proteins are heterodimeric transcription factors that sense and respond to environmental signals (such as pollutants) or to physiological signals (for example, hypoxia and circadian rhythms) through their two PAS domains. PAS domains form a generic three-dimensional fold, which commonly contains an internal cavity capable of small-molecule binding and outer surfaces adept at protein-protein interactions. These proteins are important in several pro-tumour and antitumour pathways and their activities can be modulated by both natural metabolites and oncometabolites. Recently determined structures and successful small-molecule screening programmes are now providing new opportunities to discover selective agonists and antagonists directed against this multitasking family of transcription factors.
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Affiliation(s)
- David C Bersten
- School of Molecular and Biomedical Science (Biochemistry) and the Centre for Molecular Pathology, University of Adelaide, South Australia 5005, Australia
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