Prodromal Variability in Huntington's Disease Progression and Resistance
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A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Genome-Wide Profiling of Active Enhancers in Colorectal Cancer
Genome-wide proling of active enhancers in colorectal cancer Min Wu ( [email protected] ) Wuhan University https://orcid.org/0000-0003-1372-4764 Qinglan Li Wuhan University Xiang Lin Wuhan University Ya-Li Yu Zhongnan Hospital, Wuhan University Lin Chen Wuhan University Qi-Xin Hu Wuhan University Meng Chen Zhongnan Hospital, Wuhan University Nan Cao Zhongnan Hospital, Wuhan University Chen Zhao Wuhan University Chen-Yu Wang Wuhan University Cheng-Wei Huang Wuhan University Lian-Yun Li Wuhan University Mei Ye Zhongnan Hospital, Wuhan University https://orcid.org/0000-0002-9393-3680 Article Keywords: Colorectal cancer, H3K27ac, Epigenetics, Enhancer, Transcription factors Posted Date: December 10th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-119156/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Genome-wide profiling of active enhancers in colorectal cancer Qing-Lan Li1, #, Xiang Lin1, #, Ya-Li Yu2, #, Lin Chen1, #, Qi-Xin Hu1, Meng Chen2, Nan Cao2, Chen Zhao1, Chen-Yu Wang1, Cheng-Wei Huang1, Lian-Yun Li1, Mei Ye2,*, Min Wu1,* 1 Frontier Science Center for Immunology and Metabolism, Hubei Key Laboratory of Cell Homeostasis, Hubei Key Laboratory of Developmentally Originated Disease, Hubei Key Laboratory of Intestinal and Colorectal Diseases, College of Life Sciences, Wuhan University, Wuhan, Hubei 430072, China 2Division of Gastroenterology, Department of Geriatrics, Hubei Clinical Centre & Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital, Wuhan University, Wuhan, Hubei 430072, China #Equal contribution to the study. Contact information *Correspondence should be addressed to Dr. Min Wu, Email: [email protected], Tel: 86-27-68756620, or Dr. -
TMEM9 CRISPR/Cas9 KO Plasmid (M): Sc-425907
SANTA CRUZ BIOTECHNOLOGY, INC. TMEM9 CRISPR/Cas9 KO Plasmid (m): sc-425907 BACKGROUND APPLICATIONS The Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and TMEM9 CRISPR/Cas9 KO Plasmid (m) is recommended for the disruption of CRISPR-associated protein (Cas9) system is an adaptive immune response gene expression in mouse cells. defense mechanism used by archea and bacteria for the degradation of foreign genetic material (4,6). This mechanism can be repurposed for other 20 nt non-coding RNA sequence: guides Cas9 functions, including genomic engineering for mammalian systems, such as to a specific target location in the genomic DNA gene knockout (KO) (1,2,3,5). CRISPR/Cas9 KO Plasmid products enable the U6 promoter: drives gRNA scaffold: helps Cas9 identification and cleavage of specific genes by utilizing guide RNA (gRNA) expression of gRNA bind to target DNA sequences derived from the Genome-scale CRISPR Knock-Out (GeCKO) v2 library developed in the Zhang Laboratory at the Broad Institute (3,5). Termination signal Green Fluorescent Protein: to visually REFERENCES verify transfection CRISPR/Cas9 Knockout Plasmid CBh (chicken β-Actin 1. Cong, L., et al. 2013. Multiplex genome engineering using CRISPR/Cas hybrid) promoter: drives systems. Science 339: 819-823. 2A peptide: expression of Cas9 allows production of both Cas9 and GFP from the 2. Mali, P., et al. 2013. RNA-guided human genome engineering via Cas9. same CBh promoter Science 339: 823-826. Nuclear localization signal 3. Ran, F.A., et al. 2013. Genome engineering using the CRISPR-Cas9 system. Nuclear localization signal SpCas9 ribonuclease Nat. Protoc. 8: 2281-2308. -
Recognition of Histone Acetylation by the GAS41 YEATS Domain Promotes H2A.Z Deposition in Non-Small Cell Lung Cancer
Downloaded from genesdev.cshlp.org on October 5, 2021 - Published by Cold Spring Harbor Laboratory Press Recognition of histone acetylation by the GAS41 YEATS domain promotes H2A.Z deposition in non-small cell lung cancer Chih-Chao Hsu,1,2,8 Jiejun Shi,3,8 Chao Yuan,1,2,7,8 Dan Zhao,4,5,8 Shiming Jiang,1,2 Jie Lyu,3 Xiaolu Wang,1,2 Haitao Li,4,5 Hong Wen,1,2 Wei Li,3 and Xiaobing Shi1,2,6 1Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA; 2Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA; 3Dan L. Duncan Cancer Center, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA; 4MOE Key Laboratory of Protein Sciences, Beijing Advanced Innovation Center for Structural Biology, Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China; 5Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing 100084, China; 6Genetics and Epigenetics Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas 77030, USA Histone acetylation is associated with active transcription in eukaryotic cells. It helps to open up the chromatin by neutralizing the positive charge of histone lysine residues and providing binding platforms for “reader” proteins. The bromodomain (BRD) has long been thought to be the sole protein module that recognizes acetylated histones. Re- cently, we identified the YEATS domain of AF9 (ALL1 fused gene from chromosome 9) as a novel acetyl-lysine- binding module and showed that the ENL (eleven-nineteen leukemia) YEATS domain is an essential acetyl-histone reader in acute myeloid leukemias. -
Comparison of Methylation Capture Sequencing and Infinium Methylationepic Array in Peripheral Blood Mononuclear Cells
Shu et al. Epigenetics & Chromatin (2020) 13:51 https://doi.org/10.1186/s13072-020-00372-6 Epigenetics & Chromatin RESEARCH Open Access Comparison of methylation capture sequencing and Infnium MethylationEPIC array in peripheral blood mononuclear cells Chang Shu1,2, Xinyu Zhang1,2, Bradley E. Aouizerat3,4 and Ke Xu1,2* Abstract Background: Epigenome-wide association studies (EWAS) have been widely applied to identify methylation CpG sites associated with human disease. To date, the Infnium MethylationEPIC array (EPIC) is commonly used for high- throughput DNA methylation profling. However, the EPIC array covers only 30% of the human methylome. Methyla- tion Capture bisulfte sequencing (MC-seq) captures target regions of methylome and has advantages of extensive coverage in the methylome at an afordable price. Methods: Epigenome-wide DNA methylation in four peripheral blood mononuclear cell samples was profled by using SureSelectXT Methyl-Seq for MC-seq and EPIC platforms separately. CpG site-based reproducibility of MC-seq was assessed with DNA sample inputs ranging in quantity of high (> 1000 ng), medium (300–1000 ng), and low (150 ng–300 ng). To compare the performance of MC-seq and the EPIC arrays, we conducted a Pearson correlation and methylation value diference at each CpG site that was detected by both MC-seq and EPIC. We compared the percentage and counts in each CpG island and gene annotation between MC-seq and the EPIC array. Results: After quality control, an average of 3,708,550 CpG sites per sample were detected by MC-seq with DNA quantity > 1000 ng. Reproducibility of DNA methylation in MC-seq-detected CpG sites was high among samples with high, medium, and low DNA inputs (r > 0.96). -
H3K27 Acetylation and Gene Expression Analysis Reveals Differences in Placental Chromatin Activity in Fetal Growth Restriction N
Paauw et al. Clinical Epigenetics (2018) 10:85 https://doi.org/10.1186/s13148-018-0508-x RESEARCH Open Access H3K27 acetylation and gene expression analysis reveals differences in placental chromatin activity in fetal growth restriction N. D. Paauw1,6*, A. T. Lely1, J. A. Joles2, A. Franx1, P. G. Nikkels3, M. Mokry4 and B. B. van Rijn1,5,6* Abstract Background: Posttranslational modification of histone tails such as histone 3 lysine 27 acetylation (H3K27ac) is tightly coupled to epigenetic regulation of gene expression. To explore whether this is involved in placenta pathology, we probed genome-wide H3K27ac occupancy by chromatin immunoprecipitation sequencing (ChIP- seq) in healthy placentas and placentas from pathological pregnancies with fetal growth restriction (FGR). Furthermore, we related specific acetylation profiles of FGR placentas to gene expression changes. Results: Analysis of H3K27ac occupancy in FGR compared to healthy placentas showed 970 differentially acetylated regions distributed throughout the genome. Principal component analysis and hierarchical clustering revealed complete segregation of the FGR and control group. Next, we identified 569 upregulated genes and 521 downregulated genes in FGR placentas by RNA sequencing. Differential gene transcription largely corresponded to expected direction based on H3K27ac status. Pathway analysis on upregulated transcripts originating from hyperacetylated sites revealed genes related to the HIF-1-alpha transcription factor network and several other genes with known involvement in placental pathology (LEP, FLT1, HK2, ENG, FOS). Downregulated transcripts in the vicinity of hypoacetylated sites were related to the immune system and growth hormone receptor signaling. Additionally, we found enrichment of 141 transcription factor binding motifs within differentially acetylated regions. -
Structural and Functional Characterization of the N-Terminal Acetyltransferase Natc
Structural and functional characterization of the N-terminal acetyltransferase NatC Inaugural-Dissertation to obtain the academic degree Doctor rerum naturalium (Dr. rer. nat.) submitted to the Department of Biology, Chemistry, Pharmacy of Freie Universität Berlin by Stephan Grunwald Berlin October 01, 2019 Die vorliegende Arbeit wurde von April 2014 bis Oktober 2019 am Max-Delbrück-Centrum für Molekulare Medizin unter der Anleitung von PROF. DR. OLIVER DAUMKE angefertigt. Erster Gutachter: PROF. DR. OLIVER DAUMKE Zweite Gutachterin: PROF. DR. ANNETTE SCHÜRMANN Disputation am 26. November 2019 iii iv Erklärung Ich versichere, dass ich die von mir vorgelegte Dissertation selbstständig angefertigt, die benutzten Quellen und Hilfsmittel vollständig angegeben und die Stellen der Arbeit – einschließlich Tabellen, Karten und Abbildungen – die anderen Werken im Wortlaut oder dem Sinn nach entnommen sind, in jedem Einzelfall als Entlehnung kenntlich gemacht habe; und dass diese Dissertation keiner anderen Fakultät oder Universität zur Prüfung vorgelegen hat. Berlin, 9. November 2020 Stephan Grunwald v vi Acknowledgement I would like to thank Prof. Oliver Daumke for giving me the opportunity to do the research for this project in his laboratory and for the supervision of this thesis. I would also like to thank Prof. Dr. Annette Schürmann from the German Institute of Human Nutrition (DifE) in Potsdam-Rehbruecke for being my second supervisor. From the Daumke laboratory I would like to especially thank Dr. Manuel Hessenberger, Dr. Stephen Marino and Dr. Tobias Bock-Bierbaum, who gave me helpful advice. I also like to thank the rest of the lab members for helpful discussions. I deeply thank my wife Theresa Grunwald, who always had some helpful suggestions and kept me alive while writing this thesis. -
Investigation of KRAS Dependency Bypass and Functional Characterization of All Possible KRAS Missense Variants
Investigation of KRAS Dependency Bypass and Functional Characterization of All Possible KRAS Missense Variants The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:40050098 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Investigation of KRAS Dependency Bypass and Functional Characterization of All Possible KRAS Missense Variants A dissertation presented by Seav Huong Ly to The Division of Medical Sciences in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the subject of Biological and Biomedical Sciences Harvard University Cambridge, Massachusetts April 2018 © 2018 Seav Huong Ly All rights reserved. Dissertation Advisor: William C. Hahn Seav Huong Ly Investigation of KRAS Dependency Bypass and Functional Characterization of All Possible KRAS Missense Variants Abstract The importance of oncogenic KRAS in human cancers have prompted intense efforts to target KRAS and its effectors. To anticipate the development of resistance to these strategies, we previously performed a genome-scale expression screen to identify genes that bypass KRAS oncogenic dependency. Here we test thirty-seven genes that scored over five standard deviations and find that overexpression of LIM homeobox 9 (LHX9), a transcription factor involved in embryonic development, robustly rescues the suppression of KRAS in vitro and xenograft models. Furthermore, LHX9 substantially decreases cell sensitivity to KRASG12C and MEK1/2 inhibitors in KRAS-dependent cells. -
Dynamics of Transcription-Dependent H3k36me3 Marking by the SETD2:IWS1:SPT6 Ternary Complex
bioRxiv preprint doi: https://doi.org/10.1101/636084; this version posted May 14, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Dynamics of transcription-dependent H3K36me3 marking by the SETD2:IWS1:SPT6 ternary complex Katerina Cermakova1, Eric A. Smith1, Vaclav Veverka2, H. Courtney Hodges1,3,4,* 1 Department of Molecular & Cellular Biology, Center for Precision Environmental Health, and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, 77030, USA 2 Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Prague, Czech Republic 3 Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA 4 Department of Bioengineering, Rice University, Houston, TX, 77005, USA * Lead contact; Correspondence to: [email protected] Abstract The genome-wide distribution of H3K36me3 is maintained SETD2 contributes to gene expression by marking gene through various mechanisms. In human cells, H3K36 is bodies with H3K36me3, which is thought to assist in the mono- and di-methylated by eight distinct histone concentration of transcription machinery at the small portion methyltransferases; however, the predominant writer of the of the coding genome. Despite extensive genome-wide data trimethyl mark on H3K36 is SETD21,11,12. Interestingly, revealing the precise localization of H3K36me3 over gene SETD2 is a major tumor suppressor in clear cell renal cell bodies, the physical basis for the accumulation, carcinoma13, breast cancer14, bladder cancer15, and acute maintenance, and sharp borders of H3K36me3 over these lymphoblastic leukemias16–18. In these settings, mutations sites remains rudimentary. -
EZH2 in Normal Hematopoiesis and Hematological Malignancies
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 3 EZH2 in normal hematopoiesis and hematological malignancies Laurie Herviou2, Giacomo Cavalli2, Guillaume Cartron3,4, Bernard Klein1,2,3 and Jérôme Moreaux1,2,3 1 Department of Biological Hematology, CHU Montpellier, Montpellier, France 2 Institute of Human Genetics, CNRS UPR1142, Montpellier, France 3 University of Montpellier 1, UFR de Médecine, Montpellier, France 4 Department of Clinical Hematology, CHU Montpellier, Montpellier, France Correspondence to: Jérôme Moreaux, email: [email protected] Keywords: hematological malignancies, EZH2, Polycomb complex, therapeutic target Received: August 07, 2015 Accepted: October 14, 2015 Published: October 20, 2015 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Enhancer of zeste homolog 2 (EZH2), the catalytic subunit of the Polycomb repressive complex 2, inhibits gene expression through methylation on lysine 27 of histone H3. EZH2 regulates normal hematopoietic stem cell self-renewal and differentiation. EZH2 also controls normal B cell differentiation. EZH2 deregulation has been described in many cancer types including hematological malignancies. Specific small molecules have been recently developed to exploit the oncogenic addiction of tumor cells to EZH2. Their therapeutic potential is currently under evaluation. This review summarizes the roles of EZH2 in normal and pathologic hematological processes and recent advances in the development of EZH2 inhibitors for the personalized treatment of patients with hematological malignancies. PHYSIOLOGICAL FUNCTIONS OF EZH2 state through tri-methylation of lysine 27 on histone H3 (H3K27me3) [6]. -
Oncogenic Deregulation of EZH2 As an Opportunity for Targeted Therapy in Lung Cancer
Published OnlineFirst June 16, 2016; DOI: 10.1158/2159-8290.CD-16-0164 RESEARCH ARTICLE Oncogenic Deregulation of EZH2 as an Opportunity for Targeted Therapy in Lung Cancer Haikuo Zhang1,2, Jun Qi1,2, Jaime M. Reyes1, Lewyn Li3, Prakash K. Rao3, Fugen Li3, Charles Y. Lin1, Jennifer A. Perry1, Matthew A. Lawlor1, Alexander Federation1, Thomas De Raedt2,4, Yvonne Y. Li1,2, Yan Liu1,2, Melissa A. Duarte3, Yanxi Zhang1,2, Grit S. Herter-Sprie1,2, Eiki Kikuchi1,2, Julian Carretero5, Charles M. Perou6, Jacob B. Reibel1,2, Joshiawa Paulk1, Roderick T. Bronson7, Hideo Watanabe1,2, Christine Fillmore Brainson8,9,10, Carla F. Kim8,9,10, Peter S. Hammerman1,2, Myles Brown2,3, Karen Cichowski2,4, Henry Long3, James E. Bradner1,2, and Kwok-Kin Wong1,2,11 Downloaded from cancerdiscovery.aacrjournals.org on September 29, 2021. © 2016 American Association for Cancer Research. Published OnlineFirst June 16, 2016; DOI: 10.1158/2159-8290.CD-16-0164 ABSTRACT As a master regulator of chromatin function, the lysine methyltransferase EZH2 orchestrates transcriptional silencing of developmental gene networks. Overex- pression of EZH2 is commonly observed in human epithelial cancers, such as non–small cell lung carci- noma (NSCLC), yet definitive demonstration of malignant transformation by deregulatedEZH2 remains elusive. Here, we demonstrate the causal role of EZH2 overexpression in NSCLC with new genetically engineered mouse models of lung adenocarcinoma. Deregulated EZH2 silences normal developmental pathways, leading to epigenetic transformation independent of canonical growth factor pathway acti- vation. As such, tumors feature a transcriptional program distinct from KRAS- and EGFR-mutant mouse lung cancers, but shared with human lung adenocarcinomas exhibiting high EZH2 expression. -
Supplementary Table 2 Targets Description Uniprot NM 001001182 Bromodomain Adjacent to Zinc Finger Domain, 2B Q8CFP4 NM 001001309 Integrin Alpha 8 (Itga8), Mrna
Supplementary Table 2 targets description UniProt NM_001001182 bromodomain adjacent to zinc finger domain, 2B Q8CFP4 NM_001001309 integrin alpha 8 (Itga8), mRNA. A2ARA8 NM_001001321 solute carrier family 35, member D2 (Slc35d2), mRNA. Q762D5 NM_001003920 BR serine/threonine kinase 1 (Brsk1), mRNA. Q5RJI5 NM_001004468 transforming, acidic coiled-coil containing protein 2 Q9JJG0 NM_001005508 Rho GTPase activating protein 30 (Arhgap30), mRNA. Q640N3 NM_001008785 kelch repeat and BTB (POZ) domain containing 8 Q3UQV5 NM_001013022 outer dense fiber of sperm tails 3B (Odf3b), mRNA. Q5M8M2 NM_001013609 testis expressed gene 24 (Tex24), mRNA. Q5DP50 NM_001015681 RIKEN cDNA E130308A19 gene (E130308A19Rik), transcript Q8C4P0 NM_001017426 KDM1 lysine (K)-specific demethylase 6B (Kdm6b), mRNA. Q8K0Z1 NM_001024945 quiescin Q6 sulfhydryl oxidase 1 (Qsox1), transcript Q8BND5 NM_001025296 DNA fragmentation factor, alpha subunit (Dffa), Q8CA98 NM_001029983 mannosidase, alpha, class 1B, member 1 (Man1b1), mRNA. Q923C1 NM_001033269 eukaryotic translation initiation factor 4E family - NM_001033536 regulatory factor X, 7 (Rfx7), mRNA. Q8CB07 NM_001034037 RIKEN cDNA 1700024G13 gene (1700024G13Rik), mRNA. - NM_001034863 transmembrane protein 136 (Tmem136), mRNA. Q3TYE7 NM_001039088 SEH1-like (S. cerevisiae (Seh1l), transcript variant Q8R2U0 NM_001039644 ER degradation enhancer, mannosidase alpha-like 3 Q8R1X5 NM_001042592 arrestin domain containing 4 (Arrdc4), transcript Q9D6S6 NM_001045536 zinc finger, ZZ-type with EF hand domain 1 (Zzef1), Q5SSH7 NM_001081048 solute carrier family 25 (mitochondrial carrier), Q9DB41 NM_001081088 low density lipoprotein receptor-related protein 2 Q3V346 NM_001081152 nuclear protein in the AT region (Npat), mRNA. Q8BPV1 NM_001081205 NIPA-like domain containing 1 (Nipal1), mRNA. Q8BMW7 NM_001081206 diacylglycerol kinase, iota (Dgki), mRNA. - NM_001081366 vacuolar protein sorting 8 homolog (S. cerevisiae) Q8CIG5 NM_001081417 chromodomain helicase DNA binding protein 7 (Chd7), A2AJK6 NM_001081433 ankyrin repeat domain 44 (Ankrd44), mRNA.