THE TBX20-CASZ1 INTERACTION PROVIDES MECHANISTIC INSIGHT for DILATED CARDIOMYOPATHY PATHOGENESIS Leslie M Kennedy a Dissertation
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Longitudinal Study of Leukocyte DNA Methylation and Biomarkers for Cancer Risk in Older Adults
bioRxiv preprint doi: https://doi.org/10.1101/597666; this version posted April 3, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Longitudinal Study of Leukocyte DNA Methylation and 2 Biomarkers for Cancer Risk in Older Adults 3 Alexandra H. Bartlett1, Jane W Liang1, Jose Vladimir Sandoval-Sierra1, Jay H 4 Fowke 1, Eleanor M Simonsick2, Karen C Johnson1, Khyobeni Mozhui1* 5 1Department of Preventive Medicine, University of Tennessee Health Science 6 Center, Memphis, Tennessee, USA 7 2Intramural Research Program, National Institute on Aging, Baltimore Maryland, 8 USA 9 AHB: [email protected]; JWL: [email protected]; JVSS: 10 [email protected]; JHF: [email protected]; EMS: [email protected]; 11 KCJ: [email protected]; KM: [email protected] 12 *Corresponding author: Khyobeni Mozhui 13 14 15 16 17 18 1 bioRxiv preprint doi: https://doi.org/10.1101/597666; this version posted April 3, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 19 Abstract 20 Background: Changes in DNA methylation over the course of life may provide 21 an indicator of risk for cancer. We explored longitudinal changes in CpG 22 methylation from blood leukocytes, and likelihood of a future cancer diagnosis. -
Multi-Ancestry Genome-Wide Gene-Sleep Interactions Identify Novel
bioRxiv preprint doi: https://doi.org/10.1101/2020.05.29.123505; this version posted May 31, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Multi-ancestry genome-wide gene-sleep interactions identify novel loci for blood pressure Heming Wang1,2,*, Raymond Noordam3,* , Brian E Cade1,2,*, Karen Schwander4,*, Thomas W Winkler5,*, Jiwon Lee1,*, Yun Ju Sung4,*, Amy R. Bentley6,*, Alisa K Manning2,7, Hugues Aschard8,9, Tuomas O Kilpeläinen10,11, Marjan Ilkov12, Michael R Brown13, Andrea R Horimoto14, Melissa Richard15, Traci M Bartz16, Dina Vojinovic17,18, Elise Lim19, Jovia L Nierenberg20, Yongmei Liu21, Kumaraswamynaidu Chitrala22, Tuomo Rankinen23, Solomon K Musani24, Nora Franceschini25, Rainer Rauramaa26, Maris Alver27,28, Phyllis Zee29, Sarah E Harris30, Peter J van der Most31, Ilja M Nolte31, Patricia B Munroe32,33, Nicholette D Palmer34, Brigitte Kühnel35,36, Stefan Weiss37,38, Wanqing Wen39, Kelly A Hall40, Leo-Pekka Lyytikäinen41,42, Jeff O'Connell43,44, Gudny Eiriksdottir12, Lenore J Launer22, Paul S de Vries13, Dan E Arking45, Han Chen13,46, Eric Boerwinkle13,47, Jose E Krieger14, Pamela J Schreiner48, Stephen S Sidney49, James M Shikany50, Kenneth Rice51, Yii-Der Ida Chen52, Sina A Gharib53, Joshua C Bis54, Annemarie I Luik17, M Arfan Ikram17,55, André G Uitterlinden17, Najaf Amin17, Hanfei Xu19, Daniel Levy19,56, Jiang He20, Kurt -
Longitudinal Study of Leukocyte DNA Methylation and Biomarkers for Cancer Risk in Older Adults Alexandra H
Bartlett et al. Biomarker Research (2019) 7:10 https://doi.org/10.1186/s40364-019-0161-3 RESEARCH Open Access Longitudinal study of leukocyte DNA methylation and biomarkers for cancer risk in older adults Alexandra H. Bartlett1, Jane W. Liang1, Jose Vladimir Sandoval-Sierra1, Jay H. Fowke1, Eleanor M. Simonsick2, Karen C. Johnson1 and Khyobeni Mozhui1* Abstract Background: Changes in DNA methylation over the course of life may provide an indicator of risk for cancer. We explored longitudinal changes in CpG methylation from blood leukocytes, and likelihood of future cancer diagnosis. Methods: Peripheral blood samples were obtained at baseline and at follow-up visit from 20 participants in the Health, Aging and Body Composition prospective cohort study. Genome-wide CpG methylation was assayed using the Illumina Infinium Human MethylationEPIC (HM850K) microarray. Results: Global patterns in DNA methylation from CpG-based analyses showed extensive changes in cell composition over time in participants who developed cancer. By visit year 6, the proportion of CD8+ T-cells decreased (p-value = 0. 02), while granulocytes cell levels increased (p-value = 0.04) among participants diagnosed with cancer compared to those who remained cancer-free (cancer-free vs. cancer-present: 0.03 ± 0.02 vs. 0.003 ± 0.005 for CD8+ T-cells; 0.52 ± 0. 14 vs. 0.66 ± 0.09 for granulocytes). Epigenome-wide analysis identified three CpGs with suggestive p-values ≤10− 5 for differential methylation between cancer-free and cancer-present groups, including a CpG located in MTA3, agene linked with metastasis. At a lenient statistical threshold (p-value ≤3×10− 5), the top 10 cancer-associated CpGs included a site near RPTOR that is involved in the mTOR pathway, and the candidate tumor suppressor genes REC8, KCNQ1,andZSWIM5. -
TBX20 Loss-Of-Function Mutation Contributes to Double Outlet Right Ventricle
1058 INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE 35: 1058-1066, 2015 TBX20 loss-of-function mutation contributes to double outlet right ventricle YUN PAN1*, RUI GENG1*, NING ZHOU1, GUI-FEN ZHENG1, HONG ZHAO1, JUAN WANG2, CUI-MEI ZHAO2, XING-BIAO QIU3, YI-QING YANG3-5 and XING-YUAN LIU1 Departments of 1Pediatrics and 2Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065; 3Department of Cardiology, 4Cardiovascular Research Laboratory and 5Central Laboratory, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai 200030, P.R. China Received November 30, 2014; Accepted January 20, 2015 DOI: 10.3892/ijmm.2015.2077 Abstract. Congenital heart disease (CHD), the most prevalent nant pattern with complete penetrance. The missense mutation birth defect in humans worldwide, is still a leading non-infec- was absent in 400 control chromosomes and the altered amino tious cause of infant morbidity and mortality. Increasing acid was completely conserved evolutionarily across species. evidence demonstrates that genetic risk factors play a key role Functional analysis revealed that mutant TBX20 had a signifi- in the pathogenesis of CHD, and more than 50 genes have cantly diminished transcriptional activity compared with its been linked to various types of CHD. Nevertheless, CHD is wild-type counterpart. To the best of our knowledge, this study a heterogeneous disorder and the genetic components under- is the first to report the association of TBX20 loss-of-function pinning CHD in an overwhelming majority of cases remain mutation with increased susceptibility to DORV in humans, unknown. In the present study, the entire coding exons and which provides novel insight into the molecular mechanisms flanking introns of the TBX20 gene, which codes for a T-box responsible for CHD, suggesting potential implications for the transcription factor essential for the proper development of the antenatal prophylaxis of CHD. -
Contribution of Enhancer-Driven and Master-Regulator Genes to Autoimmune Disease Revealed Using Functionally Informed SNP-To-Gene Linking Strategies Kushal K
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.02.279059; this version posted March 31, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Contribution of enhancer-driven and master-regulator genes to autoimmune disease revealed using functionally informed SNP-to-gene linking strategies Kushal K. Dey1, Steven Gazal1, Bryce van de Geijn 1,3, Samuel Sungil Kim 1,4, Joseph Nasser5, Jesse M. Engreitz5, Alkes L. Price 1,2,5 1 Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA 2 Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 3 Genentech, South San Francisco, CA 4 Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 5 Broad Institute of MIT and Harvard, Cambridge, MA, USA Abstract Gene regulation is known to play a fundamental role in human disease, but mechanisms of regulation vary greatly across genes. Here, we explore the con- tributions to disease of two types of genes: genes whose regulation is driven by enhancer regions as opposed to promoter regions (Enhancer-driven) and genes that regulate many other genes in trans (Master-regulator). We link these genes to SNPs using a comprehensive set of SNP-to-gene (S2G) strategies and apply stratified LD score regression to the resulting SNP annotations to draw three main conclusions about 11 autoimmune diseases and blood cell traits (average Ncase=13K across 6 autoimmune diseases, average N=443K across 5 blood cell traits). -
Supplementary File 2A Revised
Supplementary file 2A. Differentially expressed genes in aldosteronomas compared to all other samples, ranked according to statistical significance. Missing values were not allowed in aldosteronomas, but to a maximum of five in the other samples. Acc UGCluster Name Symbol log Fold Change P - Value Adj. P-Value B R99527 Hs.8162 Hypothetical protein MGC39372 MGC39372 2,17 6,3E-09 5,1E-05 10,2 AA398335 Hs.10414 Kelch domain containing 8A KLHDC8A 2,26 1,2E-08 5,1E-05 9,56 AA441933 Hs.519075 Leiomodin 1 (smooth muscle) LMOD1 2,33 1,3E-08 5,1E-05 9,54 AA630120 Hs.78781 Vascular endothelial growth factor B VEGFB 1,24 1,1E-07 2,9E-04 7,59 R07846 Data not found 3,71 1,2E-07 2,9E-04 7,49 W92795 Hs.434386 Hypothetical protein LOC201229 LOC201229 1,55 2,0E-07 4,0E-04 7,03 AA454564 Hs.323396 Family with sequence similarity 54, member B FAM54B 1,25 3,0E-07 5,2E-04 6,65 AA775249 Hs.513633 G protein-coupled receptor 56 GPR56 -1,63 4,3E-07 6,4E-04 6,33 AA012822 Hs.713814 Oxysterol bining protein OSBP 1,35 5,3E-07 7,1E-04 6,14 R45592 Hs.655271 Regulating synaptic membrane exocytosis 2 RIMS2 2,51 5,9E-07 7,1E-04 6,04 AA282936 Hs.240 M-phase phosphoprotein 1 MPHOSPH -1,40 8,1E-07 8,9E-04 5,74 N34945 Hs.234898 Acetyl-Coenzyme A carboxylase beta ACACB 0,87 9,7E-07 9,8E-04 5,58 R07322 Hs.464137 Acyl-Coenzyme A oxidase 1, palmitoyl ACOX1 0,82 1,3E-06 1,2E-03 5,35 R77144 Hs.488835 Transmembrane protein 120A TMEM120A 1,55 1,7E-06 1,4E-03 5,07 H68542 Hs.420009 Transcribed locus 1,07 1,7E-06 1,4E-03 5,06 AA410184 Hs.696454 PBX/knotted 1 homeobox 2 PKNOX2 1,78 2,0E-06 -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Structural and Functional Analysis of Muskelin and Other Kelch-Repeat Proteins
structural and Functional Analysis of Muskelin by Soren Prag Hansen A Thesis submitted to the University College London for the degree of PhD September 2003 Department of Biochemistry and Molecular Biology University College London Gower Street London UK ProQuest Number: U643396 All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is dependent upon the quality of the copy submitted. In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if material had to be removed, a note will indicate the deletion. uest. ProQuest U643396 Published by ProQuest LLC(2016). Copyright of the Dissertation is held by the Author. All rights reserved. This work is protected against unauthorized copying under Title 17, United States Code. Microform Edition © ProQuest LLC. ProQuest LLC 789 East Eisenhower Parkway P.O. Box 1346 Ann Arbor, Ml 48106-1346 Abstract Muskelin is an intracellular, kelch-repeat protein that is functionally involved in cell spreading on thrombospondin-1. The aim of this thesis project was to investigate the role of muskelin domains in the subcellular distribution and the regulation of the protein using cellular, biochemical, and bioinformatic approaches. Using bioinformatics to compare muskelin orthologues from Mus musculus, Homo sapiens, Rattus norvegicus, Danio rerio, Drosophila meianogaster, and Anopheles gambiae, highly conserved regions within muskelin were identified, with the combination of a discoidin domain, a LisH motif, a C-terminal to LisH motif, and six kelch repeats. A further bioinformatic analysis of the kelch repeat proteins in whole genomes from Homo sapiens, Drosophila meianogaster, and Anopheles gambiae, demonstrated that muskelin has a unique molecular architecture amongst the large family of kelch repeat proteins. -
Myocardin Is Sufficient and Necessary for Cardiac Gene Expression in Xenopus Eric M
Research article 987 Myocardin is sufficient and necessary for cardiac gene expression in Xenopus Eric M. Small1,*,†, Andrew S. Warkman1,*, Da-Zhi Wang2, Lillian B. Sutherland3, Eric N. Olson3 and Paul A. Krieg1,‡ 1Department of Cell Biology and Anatomy, University of Arizona Health Sciences Center, 1501 N. Campbell Avenue, PO Box 245044, Tucson, AZ, 85724, USA 2Carolina Cardiovascular Biology Center, Department of Cell and Developmental Biology, University of North Carolina, Chapel Hill, NC 27599-7126, USA 3Department of Molecular Biology, University of Texas Southwestern Medical Center, 6000 Harry Hines Boulevard, Dallas, TX 75390-9148, USA *These authors contributed equally to this work †Present address: Cardiovascular Research, The Hospital for Sick Children, 555 University Avenue, Toronto, ON M5G 1X8, Canada ‡Author for correspondence (e-mail: [email protected]) Accepted 14 December 2004 Development 132, 987-997 Published by The Company of Biologists 2005 doi:10.1242/dev.01684 Summary Myocardin is a cardiac- and smooth muscle-specific co- expression. Inhibition of myocardin activity in Xenopus factor for the ubiquitous transcription factor serum embryos using morpholino knockdown methods results in response factor (SRF). Using gain-of-function approaches inhibition of cardiac development and the absence of in the Xenopus embryo, we show that myocardin is expression of cardiac differentiation markers and severe sufficient to activate transcription of a wide range of disruption of cardiac morphological processes. We cardiac and -
MOCHI Enables Discovery of Heterogeneous Interactome Modules in 3D Nucleome
Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press MOCHI enables discovery of heterogeneous interactome modules in 3D nucleome Dechao Tian1,# , Ruochi Zhang1,# , Yang Zhang1, Xiaopeng Zhu1, and Jian Ma1,* 1Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA #These two authors contributed equally *Correspondence: [email protected] Contact To whom correspondence should be addressed: Jian Ma School of Computer Science Carnegie Mellon University 7705 Gates-Hillman Complex 5000 Forbes Avenue Pittsburgh, PA 15213 Phone: +1 (412) 268-2776 Email: [email protected] 1 Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract The composition of the cell nucleus is highly heterogeneous, with different constituents forming complex interactomes. However, the global patterns of these interwoven heterogeneous interactomes remain poorly understood. Here we focus on two different interactomes, chromatin interaction network and gene regulatory network, as a proof-of-principle, to identify heterogeneous interactome modules (HIMs), each of which represents a cluster of gene loci that are in spatial contact more frequently than expected and that are regulated by the same group of transcription factors. HIM integrates transcription factor binding and 3D genome structure to reflect “transcriptional niche” in the nucleus. We develop a new algorithm MOCHI to facilitate the discovery of HIMs based on network motif clustering in heterogeneous interactomes. By applying MOCHI to five different cell types, we found that HIMs have strong spatial preference within the nucleus and exhibit distinct functional properties. Through integrative analysis, this work demonstrates the utility of MOCHI to identify HIMs, which may provide new perspectives on the interplay between transcriptional regulation and 3D genome organization. -
Discovery and Systematic Characterization of Risk Variants and Genes For
medRxiv preprint doi: https://doi.org/10.1101/2021.05.24.21257377; this version posted June 2, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license . 1 Discovery and systematic characterization of risk variants and genes for 2 coronary artery disease in over a million participants 3 4 Krishna G Aragam1,2,3,4*, Tao Jiang5*, Anuj Goel6,7*, Stavroula Kanoni8*, Brooke N Wolford9*, 5 Elle M Weeks4, Minxian Wang3,4, George Hindy10, Wei Zhou4,11,12,9, Christopher Grace6,7, 6 Carolina Roselli3, Nicholas A Marston13, Frederick K Kamanu13, Ida Surakka14, Loreto Muñoz 7 Venegas15,16, Paul Sherliker17, Satoshi Koyama18, Kazuyoshi Ishigaki19, Bjørn O Åsvold20,21,22, 8 Michael R Brown23, Ben Brumpton20,21, Paul S de Vries23, Olga Giannakopoulou8, Panagiota 9 Giardoglou24, Daniel F Gudbjartsson25,26, Ulrich Güldener27, Syed M. Ijlal Haider15, Anna 10 Helgadottir25, Maysson Ibrahim28, Adnan Kastrati27,29, Thorsten Kessler27,29, Ling Li27, Lijiang 11 Ma30,31, Thomas Meitinger32,33,29, Sören Mucha15, Matthias Munz15, Federico Murgia28, Jonas B 12 Nielsen34,20, Markus M Nöthen35, Shichao Pang27, Tobias Reinberger15, Gudmar Thorleifsson25, 13 Moritz von Scheidt27,29, Jacob K Ulirsch4,11,36, EPIC-CVD Consortium, Biobank Japan, David O 14 Arnar25,37,38, Deepak S Atri39,3, Noël P Burtt4, Maria C Costanzo4, Jason Flannick40, Rajat M 15 Gupta39,3,4, Kaoru Ito18, Dong-Keun Jang4, -
TBX20 Loss-Of-Function Mutation Responsible for Familial Tetralogy Of
Int. J. Med. Sci. 2017, Vol. 14 323 Ivyspring International Publisher International Journal of Medical Sciences 2017; 14(4): 323-332. doi: 10.7150/ijms.17834 Research Paper TBX20 loss-of-function mutation responsible for familial tetralogy of Fallot or sporadic persistent truncus arteriosus Ri-Tai Huang1*, Juan Wang2*, Song Xue1, Xing-Biao Qiu3, Hong-Yu Shi3, Ruo-Gu Li3, Xin-Kai Qu3, Xiao-Xiao Yang3, Hua Liu3, Ning Li3, Yan-Jie Li3, Ying-Jia Xu3, Yi-Qing Yang3,4,5 1. Department of Cardiovascular Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 1630 Dongfang Road, Shanghai 200127, China; 2. Department of Cardiovascular Medicine, East Hospital, Tongji University School of Medicine, 150 Jimo Road, Shanghai 200120, China; 3. Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, 241 West Huaihai Road, Shanghai 200030, China; 4. Department of Cardiovascular Research Laboratory, Shanghai Chest Hospital, Shanghai Jiao Tong University, 241 West Huaihai Road, Shanghai 200030, China; 5. Department of Central Laboratory, Shanghai Chest Hospital, Shanghai Jiao Tong University, 241 West Huaihai Road, Shanghai 200030, China. * These two authors contributed equally to this work. Corresponding author: Dr. Ying-Jia Xu, Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, 241 West Huaihai Road, Shanghai 200030, China. E-mail: [email protected]; Prof. Yi-Qing Yang, Department of Cardiovascular Research Laboratory, Shanghai Chest Hospital, Shanghai Jiao Tong University, 241 West Huaihai Road, Shanghai 200030, China. E-mail: [email protected]. © Ivyspring International Publisher. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/).