The Expansion of Apolipoprotein D Genes in Cluster in Teleost Fishes
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Supplementary Information Integrative Analyses of Splicing in the Aging Brain: Role in Susceptibility to Alzheimer’S Disease
Supplementary Information Integrative analyses of splicing in the aging brain: role in susceptibility to Alzheimer’s Disease Contents 1. Supplementary Notes 1.1. Religious Orders Study and Memory and Aging Project 1.2. Mount Sinai Brain Bank Alzheimer’s Disease 1.3. CommonMind Consortium 1.4. Data Availability 2. Supplementary Tables 3. Supplementary Figures Note: Supplementary Tables are provided as separate Excel files. 1. Supplementary Notes 1.1. Religious Orders Study and Memory and Aging Project Gene expression data1. Gene expression data were generated using RNA- sequencing from Dorsolateral Prefrontal Cortex (DLPFC) of 540 individuals, at an average sequence depth of 90M reads. Detailed description of data generation and processing was previously described2 (Mostafavi, Gaiteri et al., under review). Samples were submitted to the Broad Institute’s Genomics Platform for transcriptome analysis following the dUTP protocol with Poly(A) selection developed by Levin and colleagues3. All samples were chosen to pass two initial quality filters: RNA integrity (RIN) score >5 and quantity threshold of 5 ug (and were selected from a larger set of 724 samples). Sequencing was performed on the Illumina HiSeq with 101bp paired-end reads and achieved coverage of 150M reads of the first 12 samples. These 12 samples will serve as a deep coverage reference and included 2 males and 2 females of nonimpaired, mild cognitive impaired, and Alzheimer's cases. The remaining samples were sequenced with target coverage of 50M reads; the mean coverage for the samples passing QC is 95 million reads (median 90 million reads). The libraries were constructed and pooled according to the RIN scores such that similar RIN scores would be pooled together. -
Autism Multiplex Family with 16P11.2P12.2 Microduplication Syndrome in Monozygotic Twins and Distal 16P11.2 Deletion in Their Brother
European Journal of Human Genetics (2012) 20, 540–546 & 2012 Macmillan Publishers Limited All rights reserved 1018-4813/12 www.nature.com/ejhg ARTICLE Autism multiplex family with 16p11.2p12.2 microduplication syndrome in monozygotic twins and distal 16p11.2 deletion in their brother Anne-Claude Tabet1,2,3,4, Marion Pilorge2,3,4, Richard Delorme5,6,Fre´de´rique Amsellem5,6, Jean-Marc Pinard7, Marion Leboyer6,8,9, Alain Verloes10, Brigitte Benzacken1,11,12 and Catalina Betancur*,2,3,4 The pericentromeric region of chromosome 16p is rich in segmental duplications that predispose to rearrangements through non-allelic homologous recombination. Several recurrent copy number variations have been described recently in chromosome 16p. 16p11.2 rearrangements (29.5–30.1 Mb) are associated with autism, intellectual disability (ID) and other neurodevelopmental disorders. Another recognizable but less common microdeletion syndrome in 16p11.2p12.2 (21.4 to 28.5–30.1 Mb) has been described in six individuals with ID, whereas apparently reciprocal duplications, studied by standard cytogenetic and fluorescence in situ hybridization techniques, have been reported in three patients with autism spectrum disorders. Here, we report a multiplex family with three boys affected with autism, including two monozygotic twins carrying a de novo 16p11.2p12.2 duplication of 8.95 Mb (21.28–30.23 Mb) characterized by single-nucleotide polymorphism array, encompassing both the 16p11.2 and 16p11.2p12.2 regions. The twins exhibited autism, severe ID, and dysmorphic features, including a triangular face, deep-set eyes, large and prominent nasal bridge, and tall, slender build. The eldest brother presented with autism, mild ID, early-onset obesity and normal craniofacial features, and carried a smaller, overlapping 16p11.2 microdeletion of 847 kb (28.40–29.25 Mb), inherited from his apparently healthy father. -
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. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
Supp Material.Pdf
Supplementary Information Estrogen-mediated Epigenetic Repression of Large Chromosomal Regions through DNA Looping Pei-Yin Hsu, Hang-Kai Hsu, Gregory A. C. Singer, Pearlly S. Yan, Benjamin A. T. Rodriguez, Joseph C. Liu, Yu-I Weng, Daniel E. Deatherage, Zhong Chen, Julia S. Pereira, Ricardo Lopez, Jose Russo, Qianben Wang, Coral A. Lamartiniere, Kenneth P. Nephew, and Tim H.-M. Huang S1 Method Immunofluorescence staining Approximately 2,000 mammosphere-derived epithelial cells (MDECs) cells seeded collagen I-coated coverslips were fixed with methanol/acetone for 10 min. After blocking with 2.5% bovine serum albumin (Sigma) for 1 hr, these cells were incubated with anti-ESR1 antibody (Santa Cruz) overnight at 4˚C. The corresponding secondary FITC-conjugated antibody was applied followed by DAPI staining (Molecular Probes) for the nuclei. Photographs were captured by Zeiss fluorescence microscopy (Zeiss). The percentages of ESR1 subcellular localization were calculated in ten different optical fields (~10 cells per field) by two independent researchers. References Carroll, J.S., Meyer, C.A., Song, J., Li, W., Geistlinger, T.R., Eeckhoute, J., Brodsky, A.S., Keeton, E.K., Fertuck, K.C., Hall, G.F., et al. 2006. Genome-wide analysis of estrogen receptor binding sites. Nat. Genet. 38: 1289-1297. Neve, R.M., Chin, K., Fridlyand, J., Yeh, J., Baehner, F.L., Fevr, T., Clark, L., Bayani, N., Coppe, J.P., Tong, F., et al. 2006. A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes. Cancer Cell 10: 515-527. S2 Hsu et al. Supplementary Information A Figure S1. Integrative mapping of large genomic regions subjected to ERα-mediated epigenetic repression. -
(12) Patent Application Publication (10) Pub. No.: US 2015/0072349 A1 Diamandis Et Al
US 201500 72349A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2015/0072349 A1 Diamandis et al. (43) Pub. Date: Mar. 12, 2015 (54) CANCER BOMARKERS AND METHODS OF (52) U.S. Cl. USE CPC. G0IN33/57484 (2013.01); G0IN 2333/705 (2013.01) (71) Applicant: University Health Network, Toronto USPC ......................................... 435/6.12: 435/7.94 (CA) (57) ABSTRACT A method of evaluating a probability a Subject has a cancer, (72) Inventors: Eleftherios P. Diamandis, Toronto diagnosing a cancer and/or monitoring cancer progression (CA); Ioannis Prassas, Toronto (CA); comprising: a. measuring an amount of a biomarker selected Shalini Makawita, Toronto (CA); from the group consisting of CUZD1 and/or LAMC2 and/or Caitlin Chrystoja, Toronto (CA); Hari the group CUZD1, LAMC2, AQP8, CELA2B, CELA3B, M. Kosanam, Maple (CA) CTRB1, CTRB2, GCG, IAPP, INS, KLK1, PNLIPRP1, PNLIPRP2, PPY, PRSS3, REG3G, SLC30A8, KLK3, NPY, (21) Appl. No.: 14/385,449 PSCA, RLN1, SLC45A3, DSP GP73, DSG2, CEACAM7, CLCA1, GPA33, LEFTY1, ZG16, IRX5, LAMP3, MFAP4, (22) PCT Fled: Mar. 15, 2013 SCGB1A1, SFTPC, TMEM100, NPY, PSCA RLN1 and/or SLC45A3 in a test sample from a subject with cancer; (86) PCT NO.: PCT/CA2O13/OOO248 wherein the cancer is pancreas cancer if CUZD1, LAMC2, S371 (c)(1), AQP8, CELA2B, CELA3B, CTRB1, CTRB2, GCG, LAPP (2) Date: Sep. 23, 2014 INS, KLK1, PNLIPRP1, PNLIPRP2, PPY, PRSS3, REG3G, SLC30A8, DSP GP73 and/or DSG2 is selected; the cancer is colon cancer if CEACAM7, CLCA1, GPA33, LEFTY 1 and/ Related U.S. Application Data or ZG16 is selected, the cancer is lung cancer if IRX5, (60) Provisional application No. -
Hippo and Sonic Hedgehog Signalling Pathway Modulation of Human Urothelial Tissue Homeostasis
Hippo and Sonic Hedgehog signalling pathway modulation of human urothelial tissue homeostasis Thomas Crighton PhD University of York Department of Biology November 2020 Abstract The urinary tract is lined by a barrier-forming, mitotically-quiescent urothelium, which retains the ability to regenerate following injury. Regulation of tissue homeostasis by Hippo and Sonic Hedgehog signalling has previously been implicated in various mammalian epithelia, but limited evidence exists as to their role in adult human urothelial physiology. Focussing on the Hippo pathway, the aims of this thesis were to characterise expression of said pathways in urothelium, determine what role the pathways have in regulating urothelial phenotype, and investigate whether the pathways are implicated in muscle-invasive bladder cancer (MIBC). These aims were assessed using a cell culture paradigm of Normal Human Urothelial (NHU) cells that can be manipulated in vitro to represent different differentiated phenotypes, alongside MIBC cell lines and The Cancer Genome Atlas resource. Transcriptomic analysis of NHU cells identified a significant induction of VGLL1, a poorly understood regulator of Hippo signalling, in differentiated cells. Activation of upstream transcription factors PPARγ and GATA3 and/or blockade of active EGFR/RAS/RAF/MEK/ERK signalling were identified as mechanisms which induce VGLL1 expression in NHU cells. Ectopic overexpression of VGLL1 in undifferentiated NHU cells and MIBC cell line T24 resulted in significantly reduced proliferation. Conversely, knockdown of VGLL1 in differentiated NHU cells significantly reduced barrier tightness in an unwounded state, while inhibiting regeneration and increasing cell cycle activation in scratch-wounded cultures. A signalling pathway previously observed to be inhibited by VGLL1 function, YAP/TAZ, was unaffected by VGLL1 manipulation. -
Identification and Verification of Core Genes in Colorectal Cancer
Hindawi BioMed Research International Volume 2020, Article ID 8082697, 13 pages https://doi.org/10.1155/2020/8082697 Research Article Identification and Verification of Core Genes in Colorectal Cancer Houxi Xu ,1 Yuzhu Ma ,2 Jinzhi Zhang ,2 Jialin Gu ,2 Xinyue Jing ,1 Shengfeng Lu ,1 Shuping Fu ,1 and Jiege Huo 2 1Key Laboratory of Acupuncture and Medicine Research of the Ministry of Education, Nanjing University of Chinese Medicine, Nanjing 210046, China 2Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210028, China Correspondence should be addressed to Jiege Huo; [email protected] Received 7 December 2019; Revised 25 March 2020; Accepted 18 April 2020; Published 9 May 2020 Academic Editor: Takashi Saku Copyright © 2020 Houxi Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Colorectal cancer, a malignant neoplasm that occurs in the colorectal mucosa, is one of the most common types of gastrointestinal cancer. Colorectal cancer has been studied extensively, but the molecular mechanisms of this malignancy have not been characterized. This study identified and verified core genes associated with colorectal cancer using integrated bioinformatics analysis. Three gene expression profiles (GSE15781, GSE110223, and GSE110224) were downloaded from the Gene Expression Omnibus (GEO) databases. A total of 87 common differentially expressed genes (DEGs) among GSE15781, GSE110223, and GSE110224 were identified, including 19 upregulated genes and 68 downregulated genes. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis was performed for common DEGs using clusterProfiler. -
Identification of a Novel Deletion Region in 3Q29 Microdeletion Syndrome by Oligonucleotide Array Comparative Genomic Hybridization
Korean J Lab Med 2010;30:70-5 � Original Article∙Diagnostic Genetics � DOI 10.3343/kjlm.2010.30.1.70 Identification of a Novel Deletion Region in 3q29 Microdeletion Syndrome by Oligonucleotide Array Comparative Genomic Hybridization Eul-Ju Seo, M.D.1, Kyung Ran Jun, M.D.1, Han-Wook Yoo, M.D.2, Hanik K. Yoo, M.D.3, and Jin-Ok Lee, M.S.4 Departments of Laboratory Medicine1, Pediatrics2, and Psychiatry3, University of Ulsan College of Medicine and Asan Medical Center, Seoul; Asan Institute for Life Sciences4, Seoul, Korea Background : The 3q29 microdeletion syndrome is a genomic disorder characterized by mental retardation, developmental delay, microcephaly, and slight facial dysmorphism. In most cases, the microdeletion spans a 1.6-Mb region between low-copy repeats (LCRs). We identified a novel 4.0- Mb deletion using oligonucleotide array comparative genomic hybridization (array CGH) in monozy- gotic twin sisters. Methods : G-banded chromosome analysis was performed in the twins and their parents. High- resolution oligonucleotide array CGH was performed using the human whole genome 244K CGH microarray (Agilent Technologies, USA) followed by validation using FISH, and the obtained results were analyzed using the genome database resources. Results : G-banding revealed that the twins had de novo 46,XX,del(3)(q29) karyotype. Array CGH showed a 4.0-Mb interstitial deletion on 3q29, which contained 39 genes and no breakpoints flanked by LCRs. In addition to the typical characteristics of the 3q29 microdeletion syndrome, the twins had attention deficit-hyperactivity disorder, strabismus, congenital heart defect, and gray hair. Besides the p21-activated protein kinase (PAK2) and discs large homolog 1 (DLG1) genes, which are known to play a critical role in mental retardation, the hairy and enhancer of split 1 (HES1) and antigen p97 (melanoma associated; MFI2) genes might be possible candidate genes associated with strabis- mus, congenital heart defect, and gray hair. -
Table SII. Significantly Differentially Expressed Mrnas of GSE23558 Data Series with the Criteria of Adjusted P<0.05 And
Table SII. Significantly differentially expressed mRNAs of GSE23558 data series with the criteria of adjusted P<0.05 and logFC>1.5. Probe ID Adjusted P-value logFC Gene symbol Gene title A_23_P157793 1.52x10-5 6.91 CA9 carbonic anhydrase 9 A_23_P161698 1.14x10-4 5.86 MMP3 matrix metallopeptidase 3 A_23_P25150 1.49x10-9 5.67 HOXC9 homeobox C9 A_23_P13094 3.26x10-4 5.56 MMP10 matrix metallopeptidase 10 A_23_P48570 2.36x10-5 5.48 DHRS2 dehydrogenase A_23_P125278 3.03x10-3 5.40 CXCL11 C-X-C motif chemokine ligand 11 A_23_P321501 1.63x10-5 5.38 DHRS2 dehydrogenase A_23_P431388 2.27x10-6 5.33 SPOCD1 SPOC domain containing 1 A_24_P20607 5.13x10-4 5.32 CXCL11 C-X-C motif chemokine ligand 11 A_24_P11061 3.70x10-3 5.30 CSAG1 chondrosarcoma associated gene 1 A_23_P87700 1.03x10-4 5.25 MFAP5 microfibrillar associated protein 5 A_23_P150979 1.81x10-2 5.25 MUCL1 mucin like 1 A_23_P1691 2.71x10-8 5.12 MMP1 matrix metallopeptidase 1 A_23_P350005 2.53x10-4 5.12 TRIML2 tripartite motif family like 2 A_24_P303091 1.23x10-3 4.99 CXCL10 C-X-C motif chemokine ligand 10 A_24_P923612 1.60x10-5 4.95 PTHLH parathyroid hormone like hormone A_23_P7313 6.03x10-5 4.94 SPP1 secreted phosphoprotein 1 A_23_P122924 2.45x10-8 4.93 INHBA inhibin A subunit A_32_P155460 6.56x10-3 4.91 PICSAR P38 inhibited cutaneous squamous cell carcinoma associated lincRNA A_24_P686965 8.75x10-7 4.82 SH2D5 SH2 domain containing 5 A_23_P105475 7.74x10-3 4.70 SLCO1B3 solute carrier organic anion transporter family member 1B3 A_24_P85099 4.82x10-5 4.67 HMGA2 high mobility group AT-hook 2 A_24_P101651 -
A Revised Airway Epithelial Hierarchy Includes CFTR-Expressing Ionocytes
A revised airway epithelial hierarchy includes CFTR-expressing ionocytes The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Montoro, Daniel T. et al. “A revised airway epithelial hierarchy includes CFTR-expressing ionocytes.” Nature 560 (2018): 319-324 © 2018 The Author(s) As Published 10.1038/S41586-018-0393-7 Publisher Springer Nature Version Author's final manuscript Citable link https://hdl.handle.net/1721.1/125367 Terms of Use Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Nature. Manuscript Author Author manuscript; Manuscript Author available in PMC 2019 February 01. Published in final edited form as: Nature. 2018 August ; 560(7718): 319–324. doi:10.1038/s41586-018-0393-7. A revised airway epithelial hierarchy includes CFTR-expressing ionocytes Daniel T. Montoro#1,2,3, Adam L. Haber#4, Moshe Biton#4,5, Vladimir Vinarsky1,2,3, Brian Lin1,2,3, Susan Birket6,7, Feng Yuan8, Sijia Chen9, Hui Min Leung10,11, Jorge Villoria1,2,3, Noga Rogel4, Grace Burgin4, Alexander Tsankov4, Avinash Waghray1,2,3, Michal Slyper4, Julia Waldmann4, Lan Nguyen4, Danielle Dionne4, Orit Rozenblatt-Rosen4, Purushothama Rao Tata12,13,14,15, Hongmei Mou16,17, Manjunatha Shivaraju1,2,3, Hermann Bihler18, Martin Mense18, Guillermo J. Tearney10,11, Steven M. Rowe6,7, John F. Engelhardt8, Aviv Regev4,19,§, -
A High Throughput, Functional Screen of Human Body Mass Index GWAS Loci Using Tissue-Specific Rnai Drosophila Melanogaster Crosses Thomas J
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2018 A high throughput, functional screen of human Body Mass Index GWAS loci using tissue-specific RNAi Drosophila melanogaster crosses Thomas J. Baranski Washington University School of Medicine in St. Louis Aldi T. Kraja Washington University School of Medicine in St. Louis Jill L. Fink Washington University School of Medicine in St. Louis Mary Feitosa Washington University School of Medicine in St. Louis Petra A. Lenzini Washington University School of Medicine in St. Louis See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Recommended Citation Baranski, Thomas J.; Kraja, Aldi T.; Fink, Jill L.; Feitosa, Mary; Lenzini, Petra A.; Borecki, Ingrid B.; Liu, Ching-Ti; Cupples, L. Adrienne; North, Kari E.; and Province, Michael A., ,"A high throughput, functional screen of human Body Mass Index GWAS loci using tissue-specific RNAi Drosophila melanogaster crosses." PLoS Genetics.14,4. e1007222. (2018). https://digitalcommons.wustl.edu/open_access_pubs/6820 This Open Access Publication is brought to you for free and open access by Digital Commons@Becker. It has been accepted for inclusion in Open Access Publications by an authorized administrator of Digital Commons@Becker. For more information, please contact [email protected]. Authors Thomas J. Baranski, Aldi T. Kraja, Jill L. Fink, Mary Feitosa, Petra A. Lenzini, Ingrid B. Borecki, Ching-Ti Liu, L. Adrienne Cupples, Kari E. North, and Michael A. Province This open access publication is available at Digital Commons@Becker: https://digitalcommons.wustl.edu/open_access_pubs/6820 RESEARCH ARTICLE A high throughput, functional screen of human Body Mass Index GWAS loci using tissue-specific RNAi Drosophila melanogaster crosses Thomas J.