Novel and Highly Recurrent Chromosomal Alterations in Se´Zary Syndrome
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Dynamic Control of Enhancer Activity Drives Stage-Specific Gene
ARTICLE https://doi.org/10.1038/s41467-019-09513-2 OPEN Dynamic control of enhancer activity drives stage-specific gene expression during flower morphogenesis Wenhao Yan 1,7, Dijun Chen 1,2,7, Julia Schumacher 1,2, Diego Durantini2,5, Julia Engelhorn3,6, Ming Chen4, Cristel C. Carles 3 & Kerstin Kaufmann 1 fi 1234567890():,; Enhancers are critical for developmental stage-speci c gene expression, but their dynamic regulation in plants remains poorly understood. Here we compare genome-wide localization of H3K27ac, chromatin accessibility and transcriptomic changes during flower development in Arabidopsis. H3K27ac prevalently marks promoter-proximal regions, suggesting that H3K27ac is not a hallmark for enhancers in Arabidopsis. We provide computational and experimental evidence to confirm that distal DNase І hypersensitive sites are predictive of enhancers. The predicted enhancers are highly stage-specific across flower development, significantly associated with SNPs for flowering-related phenotypes, and conserved across crucifer species. Through the integration of genome-wide transcription factor (TF) binding datasets, we find that floral master regulators and stage-specific TFs are largely enriched at developmentally dynamic enhancers. Finally, we show that enhancer clusters and intronic enhancers significantly associate with stage-specific gene regulation by floral master TFs. Our study provides insights into the functional flexibility of enhancers during plant devel- opment, as well as hints to annotate plant enhancers. 1 Department for Plant Cell and Molecular Biology, Institute for Biology, Humboldt-Universität zu Berlin, 10115 Berlin, Germany. 2 Institute for Biochemistry and Biology, University of Potsdam, 14476 Potsdam, Germany. 3 Université Grenoble Alpes (UGA), CNRS, CEA, INRA, IRIG-LPCV, 38000 Grenoble, France, 38000 Grenoble, France. -
Genetic Variants in WNT2B and BTRC Predict Melanoma Survival
ACCEPTED MANUSCRIPT Genetic Variants in WNT2B and BTRC Predict Melanoma Survival Qiong Shi1, 2, 3, 9, Hongliang Liu2, 3, 9, Peng Han2, 3, 4, 9, Chunying Li1, Yanru Wang2, 3, Wenting Wu5, Dakai Zhu6, Christopher I. Amos6, Shenying Fang7, Jeffrey E. Lee7, Jiali Han5, 8* and Qingyi Wei2, 3* 1Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi’an, Shaanxi 710032, China; 2Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA, 3Department of Medicine, Duke University School of Medicine, Durham, NC 27710, USA, 4Department of Otorhinolaryngology Head and Neck Surgery, First Affiliated Hospital, Xi'an Jiaotong University College of Medicine, Xi'an, Shaanxi 710061, China; 5Department of Epidemiology, Fairbanks School of Public Health, Indiana University Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis,MANUSCRIPT IN 46202, USA 6Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, USA; 7Department of Surgical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030, USA. 8Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA 9These authors contributed equally to this work. ACCEPTED *Correspondence: Qingyi Wei, M.D., Ph.D., Duke Cancer Institute, Duke University Medical Center and Department of Medicine, Duke School of Medicine, 905 S LaSalle Street, Durham, NC 27710, USA, Tel.: (919) 660-0562, E-mail: [email protected] and Jiali Han, M.D., Ph.D., 1 _________________________________________________________________________________ This is the author's manuscript of the article published in final edited form as: Shi, Q., Liu, H., Han, P., Li, C., Wang, Y., Wu, W., … Wei, Q. -
Multiple Activities of Arl1 Gtpase in the Trans-Golgi Network Chia-Jung Yu1,2 and Fang-Jen S
© 2017. Published by The Company of Biologists Ltd | Journal of Cell Science (2017) 130, 1691-1699 doi:10.1242/jcs.201319 COMMENTARY Multiple activities of Arl1 GTPase in the trans-Golgi network Chia-Jung Yu1,2 and Fang-Jen S. Lee3,4,* ABSTRACT typical features of an Arf-family GTPase, including an amphipathic ADP-ribosylation factors (Arfs) and ADP-ribosylation factor-like N-terminal helix and a consensus site for N-myristoylation (Lu et al., proteins (Arls) are highly conserved small GTPases that function 2001; Price et al., 2005). In yeast, recruitment of Arl1 to the Golgi as main regulators of vesicular trafficking and cytoskeletal complex requires a second Arf-like GTPase, Arl3 (Behnia et al., reorganization. Arl1, the first identified member of the large Arl family, 2004; Setty et al., 2003). Yeast Arl3 lacks a myristoylation site and is an important regulator of Golgi complex structure and function in is, instead, N-terminally acetylated; this modification is required for organisms ranging from yeast to mammals. Together with its effectors, its recruitment to the Golgi complex by Sys1. In mammalian cells, Arl1 has been shown to be involved in several cellular processes, ADP-ribosylation-factor-related protein 1 (Arfrp1), a mammalian including endosomal trans-Golgi network and secretory trafficking, lipid ortholog of yeast Arl3, plays a pivotal role in the recruitment of Arl1 droplet and salivary granule formation, innate immunity and neuronal to the trans-Golgi network (TGN) (Behnia et al., 2004; Panic et al., development, stress tolerance, as well as the response of the unfolded 2003b; Setty et al., 2003; Zahn et al., 2006). -
An in Vivo Screen Identifies PYGO2 As a Driver for Metastatic Prostate Cancer
Published OnlineFirst May 16, 2018; DOI: 10.1158/0008-5472.CAN-17-3564 Cancer Molecular Cell Biology Research An In Vivo Screen Identifies PYGO2 as a Driver for Metastatic Prostate Cancer Xin Lu1,2,3, Xiaolu Pan1, Chang-Jiun Wu4, Di Zhao1, Shan Feng2, Yong Zang5, Rumi Lee1, Sunada Khadka1, Samirkumar B. Amin4, Eun-Jung Jin6, Xiaoying Shang1, Pingna Deng1,Yanting Luo2,William R. Morgenlander2, Jacqueline Weinrich2, Xuemin Lu2, Shan Jiang7, Qing Chang7, Nora M. Navone8, Patricia Troncoso9, Ronald A. DePinho1, and Y. Alan Wang1 Abstract Advanced prostate cancer displays conspicuous chromosomal inhibits prostate cancer cell invasion in vitro and progression of instability and rampant copy number aberrations, yet the identity primary tumor and metastasis in vivo. In clinical samples, PYGO2 of functional drivers resident in many amplicons remain elusive. upregulation associated with higher Gleason score and metastasis Here, we implemented a functional genomics approach to identify to lymph nodes and bone. Silencing PYGO2 expression in patient- new oncogenes involved in prostate cancer progression. Through derived xenograft models impairs tumor progression. Finally, integrated analyses of focal amplicons in large prostate cancer PYGO2 is necessary to enhance the transcriptional activation in genomic and transcriptomic datasets as well as genes upregulated response to ligand-induced Wnt/b-catenin signaling. Together, our in metastasis, 276 putative oncogenes were enlisted into an in vivo results indicate that PYGO2 functions as a driver oncogene in the gain-of-function tumorigenesis screen. Among the top positive 1q21.3 amplicon and may serve as a potential prognostic bio- hits, we conducted an in-depth functional analysis on Pygopus marker and therapeutic target for metastatic prostate cancer. -
Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
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. -
Substrate Trapping Proteomics Reveals Targets of the Trcp2
Substrate Trapping Proteomics Reveals Targets of the TrCP2/FBXW11 Ubiquitin Ligase Tai Young Kim,a,b* Priscila F. Siesser,a,b Kent L. Rossman,b,c Dennis Goldfarb,a,d Kathryn Mackinnon,a,b Feng Yan,a,b XianHua Yi,e Michael J. MacCoss,e Randall T. Moon,f Channing J. Der,b,c Michael B. Majora,b,d Department of Cell Biology and Physiology,a Lineberger Comprehensive Cancer Center,b Department of Pharmacology,c and Department of Computer Science,d University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; Department of Genome Sciencese and Department of Pharmacology and HHMI,f University of Washington, Seattle, Washington, USA Defining the full complement of substrates for each ubiquitin ligase remains an important challenge. Improvements in mass spectrometry instrumentation and computation and in protein biochemistry methods have resulted in several new methods for ubiquitin ligase substrate identification. Here we used the parallel adapter capture (PAC) proteomics approach to study TrCP2/FBXW11, a substrate adaptor for the SKP1–CUL1–F-box (SCF) E3 ubiquitin ligase complex. The processivity of the ubiquitylation reaction necessitates transient physical interactions between FBXW11 and its substrates, thus making biochemi- cal purification of FBXW11-bound substrates difficult. Using the PAC-based approach, we inhibited the proteasome to “trap” ubiquitylated substrates on the SCFFBXW11 E3 complex. Comparative mass spectrometry analysis of immunopurified FBXW11 protein complexes before and after proteasome inhibition revealed 21 known and 23 putatively novel substrates. In focused studies, we found that SCFFBXW11 bound, polyubiquitylated, and destabilized RAPGEF2, a guanine nucleotide exchange factor that activates the small GTPase RAP1. -
Interconversion Between Active and Inactive TATA-Binding Protein
1446–1459 Nucleic Acids Research, 2012, Vol. 40, No. 4 Published online 19 October 2011 doi:10.1093/nar/gkr802 Interconversion between active and inactive TATA-binding protein transcription complexes in the mouse genome Mohamed-Amin Choukrallah, Dominique Kobi1, Igor Martianov1, W. W. M. Pim Pijnappel2,4, Nikolai Mischerikow2,3, Tao Ye1, Albert J. R. Heck3,4,5, H. Th. Marc Timmers2,4 and Irwin Davidson1,* 1Institut de Ge´ ne´ tique et de Biologie Mole´ culaire et Cellulaire, CNRS/INSERM/ULP, 1 Rue Laurent Fries, 67404 Illkirch Ce´ dex, France, 2Molecular Cancer Research, University Medical Center Utrecht, Universiteitsweg 100, 3Biomolecular Mass Spectrometry and Proteomics Group, Bijvoet Centre for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, 4Netherlands Proteomics Centre and 5Centre for Biomedical Genetics, Padualaan 8, 3584 CH Utrecht, The Netherlands Received June 10, 2011; Revised September 12, 2011; Accepted September 13, 2011 ABSTRACT preinitiation complex comprising B-TFIID that primes the promoter for productive preinitiation The TATA binding protein (TBP) plays a pivotal role complex formation in mammalian cells. in RNA polymerase II (Pol II) transcription through incorporation into the TFIID and B-TFIID complexes. The role of mammalian B-TFIID composed of TBP INTRODUCTION and B-TAF1 is poorly understood. Using a com- Accurate initiation of transcription by RNA polymerase plementation system in genetically modified mouse II (Pol II) requires the assembly of the multiprotein cells where endogenous TBP can be condi- preinitiation complex (PIC) on the core promoter around tionally inactivated and replaced by exogenous the mRNA start site (1–3). Amongst the basal transcrip- mutant TBP coupled to tandem affinity purification tion factors in this process is the TFIID complex com- and mass spectrometry, we identify two TBP prising the TATA binding protein (TBP) and a set of 13–14 TBP-associated factors (TAFs) (4–7). -
Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights Into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle
animals Article Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle Masoumeh Naserkheil 1 , Abolfazl Bahrami 1 , Deukhwan Lee 2,* and Hossein Mehrban 3 1 Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj 77871-31587, Iran; [email protected] (M.N.); [email protected] (A.B.) 2 Department of Animal Life and Environment Sciences, Hankyong National University, Jungang-ro 327, Anseong-si, Gyeonggi-do 17579, Korea 3 Department of Animal Science, Shahrekord University, Shahrekord 88186-34141, Iran; [email protected] * Correspondence: [email protected]; Tel.: +82-31-670-5091 Received: 25 August 2020; Accepted: 6 October 2020; Published: 9 October 2020 Simple Summary: Hanwoo is an indigenous cattle breed in Korea and popular for meat production owing to its rapid growth and high-quality meat. Its yearling weight and carcass traits (backfat thickness, carcass weight, eye muscle area, and marbling score) are economically important for the selection of young and proven bulls. In recent decades, the advent of high throughput genotyping technologies has made it possible to perform genome-wide association studies (GWAS) for the detection of genomic regions associated with traits of economic interest in different species. In this study, we conducted a weighted single-step genome-wide association study which combines all genotypes, phenotypes and pedigree data in one step (ssGBLUP). It allows for the use of all SNPs simultaneously along with all phenotypes from genotyped and ungenotyped animals. Our results revealed 33 relevant genomic regions related to the traits of interest. -
Growth and Molecular Profile of Lung Cancer Cells Expressing Ectopic LKB1: Down-Regulation of the Phosphatidylinositol 3-Phosphate Kinase/PTEN Pathway1
[CANCER RESEARCH 63, 1382–1388, March 15, 2003] Growth and Molecular Profile of Lung Cancer Cells Expressing Ectopic LKB1: Down-Regulation of the Phosphatidylinositol 3-Phosphate Kinase/PTEN Pathway1 Ana I. Jimenez, Paloma Fernandez, Orlando Dominguez, Ana Dopazo, and Montserrat Sanchez-Cespedes2 Molecular Pathology Program [A. I. J., P. F., M. S-C.], Genomics Unit [O. D.], and Microarray Analysis Unit [A. D.], Spanish National Cancer Center, 28029 Madrid, Spain ABSTRACT the cell cycle in G1 (8, 9). However, the intrinsic mechanism by which LKB1 activity is regulated in cells and how it leads to the suppression Germ-line mutations in LKB1 gene cause the Peutz-Jeghers syndrome of cell growth is still unknown. It has been proposed that growth (PJS), a genetic disease with increased risk of malignancies. Recently, suppression by LKB1 is mediated through p21 in a p53-dependent LKB1-inactivating mutations have been identified in one-third of sporadic lung adenocarcinomas, indicating that LKB1 gene inactivation is critical in mechanism (7). In addition, it has been observed that LKB1 binds to tumors other than those of the PJS syndrome. However, the in vivo brahma-related gene 1 protein (BRG1) and this interaction is required substrates of LKB1 and its role in cancer development have not been for BRG1-induced growth arrest (10). Similar to what happens in the completely elucidated. Here we show that overexpression of wild-type PJS, Lkb1 heterozygous knockout mice show gastrointestinal hamar- LKB1 protein in A549 lung adenocarcinomas cells leads to cell-growth tomatous polyposis and frequent hepatocellular carcinomas (11, 12). suppression. To examine changes in gene expression profiles subsequent to Interestingly, the hamartomas, but not the malignant tumors, arising in exogenous wild-type LKB1 in A549 cells, we used cDNA microarrays. -
Physical and Linkage Mapping of Mammary-Derived Expressed Sequence Tags in Cattle
Genomics 83 (2004) 148–152 www.elsevier.com/locate/ygeno Physical and linkage mapping of mammary-derived expressed sequence tags in cattle E.E. Connor,a,* T.S. Sonstegard,a J.W. Keele,b G.L. Bennett,b J.L. Williams,c R. Papworth,c C.P. Van Tassell,a and M.S. Ashwella a U.S. Beltsville Agricultural Research Center, ARS, U.S. Department of Agriculture, 10300 Baltimore Avenue, Beltsville, MD 20705, USA b U.S. Meat Animal Research Center, ARS, U.S. Department of Agriculture, P.O. Box 166, Clay Center, NE 68933-0166, USA c Roslin Institute (Edinburgh), Roslin, Midlothian EH25 9PS, Scotland, United Kingdom Received 2 June 2003; accepted 5 July 2003 Abstract This study describes the physical and linkage mapping of 42 gene-associated markers developed from mammary gland-derived expressed sequence tags to the cattle genome. Of the markers, 25 were placed on the USDA reference linkage map and 37 were positioned on the Roslin 3000-rad radiation hybrid (RH) map, with 20 assignments shared between the maps. Although no novel regions of conserved synteny between the cattle and the human genomes were identified, the coverage was extended for bovine chromosomes 3, 7, 15, and 29 compared with previously published comparative maps between human and bovine genomes. Overall, these data improve the resolution of the human–bovine comparative maps and will assist future efforts to integrate bovine RH and linkage map data. Crown Copyright D 2003 Published by Elsevier Inc. All rights reserved. Keywords: RH mapping; Linkage mapping; SNP; Cattle; EST Selection of positional candidate genes controlling eco- pig [4,5], and cattle [6], and serve as a resource for nomically important traits in cattle requires a detailed candidate gene identification. -
Triplet Repeat Length Bias and Variation in the Human Transcriptome
Triplet repeat length bias and variation in the human transcriptome Michael Mollaa,1,2, Arthur Delcherb,1, Shamil Sunyaevc, Charles Cantora,d,2, and Simon Kasifa,e aDepartment of Biomedical Engineering and dCenter for Advanced Biotechnology, Boston University, Boston, MA 02215; bCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742; cDepartment of Medicine, Division of Genetics, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115; and eCenter for Advanced Genomic Technology, Boston University, Boston, MA 02215 Contributed by Charles Cantor, July 6, 2009 (sent for review May 4, 2009) Length variation in short tandem repeats (STRs) is an important family including Huntington’s disease (10) and hereditary ataxias (11, 12). of DNA polymorphisms with numerous applications in genetics, All Huntington’s patients exhibit an expanded number of copies in medicine, forensics, and evolutionary analysis. Several major diseases the CAG tandem repeat subsequence in the N terminus of the have been associated with length variation of trinucleotide (triplet) huntingtin gene. Moreover, an increase in the repeat length is repeats including Huntington’s disease, hereditary ataxias and spi- anti-correlated to the onset age of the disease (13). Multiple other nobulbar muscular atrophy. Using the reference human genome, we diseases have also been associated with copy number variation of have catalogued all triplet repeats in genic regions. This data revealed tandem repeats (8, 14). Researchers have hypothesized that inap- a bias in noncoding DNA repeat lengths. It also enabled a survey of propriate repeat variation in coding regions could result in toxicity, repeat-length polymorphisms (RLPs) in human genomes and a com- incorrect folding, or aggregation of a protein.