Flexible Model-Based Joint Probabilistic Clustering of Binary and Continuous Inputs and Its Application to Genetic Regulation and Cancer
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Legends for Supplemental Figures and Tables Figure S1. Expression of Tlx during retinogenesis. (A) Staged embryos were stained for β- galactosidase knocked into the Tlx locus to indicate Tlx expression. Tlx was expressed in the neural blast layer in the early phase of neural retina development (blue signal). (B) Expression of Tlx in neural retina was quantified using Q-PCR at multiple developmental stages. Figure S2. Expression of p27kip1 and cyclin D1 (Ccnd1) at various developmental stages in wild-type or Tlx-/- retinas. (A) Q-PCR analysis of p27kip1 mRNA expression. (B) Western blotting analysis of p27kip1 protein expression. (C) Q-PCR analysis of cyclin D1 mRNA expression. Figure S3. Q-PCR analysis of mRNA expression of Sf1 (A), Lrh1 (B), and Atn1 (C) in wild-type mouse retinas. RNAs from testis and liver were used as controls. Table S1. List of genes dysregulated both at E15.5 and P0 Tlx-/- retinas. Gene E15.5 P0 Cluste Gene Title Fold Fold r Name p-value p-value Change Change nuclear receptor subfamily 0, group B, Nr0b1 1.65 0.0024 2.99 0.0035 member 1 1 Pou4f3 1.91 0.0162 2.39 0.0031 POU domain, class 4, transcription factor 3 1 Tcfap2d 2.18 0.0000 2.37 0.0001 transcription factor AP-2, delta 1 Zic5 1.66 0.0002 2.02 0.0218 zinc finger protein of the cerebellum 5 1 Zfpm1 1.85 0.0030 1.88 0.0025 zinc finger protein, multitype 1 1 Pten 1.60 0.0155 1.82 0.0131 phospatase and tensin homolog 2 Itgb5 -1.85 0.0063 -1.85 0.0007 integrin beta 5 2 Gpr49 6.86 0.0001 15.16 0.0001 G protein-coupled receptor 49 3 Cmkor1 2.60 0.0007 2.72 0.0013 -
Genetic Associations Between Voltage-Gated Calcium Channels (Vgccs) and Autism Spectrum Disorder (ASD)
Liao and Li Molecular Brain (2020) 13:96 https://doi.org/10.1186/s13041-020-00634-0 REVIEW Open Access Genetic associations between voltage- gated calcium channels and autism spectrum disorder: a systematic review Xiaoli Liao1,2 and Yamin Li2* Abstract Objectives: The present review systematically summarized existing publications regarding the genetic associations between voltage-gated calcium channels (VGCCs) and autism spectrum disorder (ASD). Methods: A comprehensive literature search was conducted to gather pertinent studies in three online databases. Two authors independently screened the included records based on the selection criteria. Discrepancies in each step were settled through discussions. Results: From 1163 resulting searched articles, 28 were identified for inclusion. The most prominent among the VGCCs variants found in ASD were those falling within loci encoding the α subunits, CACNA1A, CACNA1B, CACN A1C, CACNA1D, CACNA1E, CACNA1F, CACNA1G, CACNA1H, and CACNA1I as well as those of their accessory subunits CACNB2, CACNA2D3, and CACNA2D4. Two signaling pathways, the IP3-Ca2+ pathway and the MAPK pathway, were identified as scaffolds that united genetic lesions into a consensus etiology of ASD. Conclusions: Evidence generated from this review supports the role of VGCC genetic variants in the pathogenesis of ASD, making it a promising therapeutic target. Future research should focus on the specific mechanism that connects VGCC genetic variants to the complex ASD phenotype. Keywords: Autism spectrum disorder, Voltage-gated calcium -
Clinical Utility Gene Card For: 3-M Syndrome – Update 2013
European Journal of Human Genetics (2014) 22, doi:10.1038/ejhg.2013.156 & 2014 Macmillan Publishers Limited All rights reserved 1018-4813/14 www.nature.com/ejhg CLINICAL UTILITY GENE CARD UPDATE Clinical utility gene card for: 3-M syndrome – Update 2013 Muriel Holder-Espinasse*,1, Melita Irving1 and Vale´rie Cormier-Daire2 European Journal of Human Genetics (2014) 22, doi:10.1038/ejhg.2013.156; published online 31 July 2013 Update to: European Journal of Human Genetics (2011) 19, doi:10.1038/ejhg.2011.32; published online 2 March 2011 1. DISEASE CHARACTERISTICS nonsense and missense mutations c.4333C4T (p.Arg1445*) and 1.1 Name of the disease (synonyms) c.4391A4C (p.His1464Pro), respectively, render CUL7 deficient 3-M syndrome (gloomy face syndrome, dolichospondylic dysplasia). in recruiting ROC1, leading to impaired ubiquitination. OBSL1: microsatellites analysis of the locus (2q35-36.1) in con- 1.2 OMIM# of the disease sanguineous families. OBSL1: microsatellites analysis of the locus 273750. (2q35-36.1) in consanguineous families. Mutations induce non- sense mediated decay. Knockdown of OBSL1 in HEK293 cells 1.3 Name of the analysed genes or DNA/chromosome segments shows the role of this gene in the maintenance of normal levels of CUL7, OBSL1 and CCDC8.1–5 CUL7. Abnormal IGFBP2 andIGFBP5 mRNA levels in two patients with OBSL1 mutations, suggesting that OBSL1 modulates the 1.4 OMIM# of the gene(s) expression of IGFBP proteins. CCDC8: microsatellites analysis 609577 (CUL7), 610991 (OBSL1) and 614145 (CCDC8). at the locus (19q13.2-q13.32). CCDC8, 1-BP DUP, 612G and CCDC8, 1-BP. -
Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma
Anatomy and Pathology Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma Sarah L. Lake,1 Sarah E. Coupland,1 Azzam F. G. Taktak,2 and Bertil E. Damato3 PURPOSE. To detect deletions and loss of heterozygosity of disease is fatal in 92% of patients within 2 years of diagnosis. chromosome 3 in a rare subset of fatal, disomy 3 uveal mela- Clinical and histopathologic risk factors for UM metastasis noma (UM), undetectable by fluorescence in situ hybridization include large basal tumor diameter (LBD), ciliary body involve- (FISH). ment, epithelioid cytomorphology, extracellular matrix peri- ϩ ETHODS odic acid-Schiff-positive (PAS ) loops, and high mitotic M . Multiplex ligation-dependent probe amplification 3,4 5 (MLPA) with the P027 UM assay was performed on formalin- count. Prescher et al. showed that a nonrandom genetic fixed, paraffin-embedded (FFPE) whole tumor sections from 19 change, monosomy 3, correlates strongly with metastatic death, and the correlation has since been confirmed by several disomy 3 metastasizing UMs. Whole-genome microarray analy- 3,6–10 ses using a single-nucleotide polymorphism microarray (aSNP) groups. Consequently, fluorescence in situ hybridization were performed on frozen tissue samples from four fatal dis- (FISH) detection of chromosome 3 using a centromeric probe omy 3 metastasizing UMs and three disomy 3 tumors with Ͼ5 became routine practice for UM prognostication; however, 5% years’ metastasis-free survival. to 20% of disomy 3 UM patients unexpectedly develop metas- tases.11 Attempts have therefore been made to identify the RESULTS. Two metastasizing UMs that had been classified as minimal region(s) of deletion on chromosome 3.12–15 Despite disomy 3 by FISH analysis of a small tumor sample were found these studies, little progress has been made in defining the key on MLPA analysis to show monosomy 3. -
Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-Like Mouse Models: Tracking the Role of the Hairless Gene
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 5-2006 Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene Yutao Liu University of Tennessee - Knoxville Follow this and additional works at: https://trace.tennessee.edu/utk_graddiss Part of the Life Sciences Commons Recommended Citation Liu, Yutao, "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino- like Mouse Models: Tracking the Role of the Hairless Gene. " PhD diss., University of Tennessee, 2006. https://trace.tennessee.edu/utk_graddiss/1824 This Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a dissertation written by Yutao Liu entitled "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene." I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Life Sciences. Brynn H. Voy, Major Professor We have read this dissertation and recommend its acceptance: Naima Moustaid-Moussa, Yisong Wang, Rogert Hettich Accepted for the Council: Carolyn R. -
Identification and Validation of Methylation-Driven Genes Prognostic Signature for Recurrence of Laryngeal Squamous Cell Carcino
Cui et al. Cancer Cell Int (2020) 20:472 https://doi.org/10.1186/s12935-020-01567-3 Cancer Cell International PRIMARY RESEARCH Open Access Identifcation and validation of methylation-driven genes prognostic signature for recurrence of laryngeal squamous cell carcinoma by integrated bioinformatics analysis Jie Cui3†, Liping Wang2†, Waisheng Zhong4†, Zhen Chen5, Jie Chen4*, Hong Yang3* and Genglong Liu1* Abstract Background: Recurrence remains a major obstacle to long-term survival of laryngeal squamous cell carcinoma (LSCC). We conducted a genome-wide integrated analysis of methylation and the transcriptome to establish methyla- tion-driven genes prognostic signature (MDGPS) to precisely predict recurrence probability and optimize therapeutic strategies for LSCC. Methods: LSCC DNA methylation datasets and RNA sequencing (RNA-seq) dataset were acquired from the Cancer Genome Atlas (TCGA). MethylMix was applied to detect DNA methylation-driven genes (MDGs). By univariate and multivariate Cox regression analyses, fve genes of DNA MDGs was developed a recurrence-free survival (RFS)-related MDGPS. The predictive accuracy and clinical value of the MDGPS were evaluated by receiver operating characteristic (ROC) and decision curve analysis (DCA), and compared with TNM stage system. Additionally, prognostic value of MDGPS was validated by external Gene Expression Omnibus (GEO) database. According to 5 MDGs, the candidate small molecules for LSCC were screen out by the CMap database. To strengthen the bioinformatics analysis results, 30 pairs of clinical samples were evaluated by digoxigenin-labeled chromogenic in situ hybridization (CISH). Results: A total of 88 DNA MDGs were identifed, and fve RFS-related MDGs (LINC01354, CCDC8, PHYHD1, MAGEB2 and ZNF732) were chosen to construct a MDGPS. -
Noninvasive Sleep Monitoring in Large-Scale Screening of Knock-Out Mice
bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 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-ND 4.0 International license. Noninvasive sleep monitoring in large-scale screening of knock-out mice reveals novel sleep-related genes Shreyas S. Joshi1*, Mansi Sethi1*, Martin Striz1, Neil Cole2, James M. Denegre2, Jennifer Ryan2, Michael E. Lhamon3, Anuj Agarwal3, Steve Murray2, Robert E. Braun2, David W. Fardo4, Vivek Kumar2, Kevin D. Donohue3,5, Sridhar Sunderam6, Elissa J. Chesler2, Karen L. Svenson2, Bruce F. O'Hara1,3 1Dept. of Biology, University of Kentucky, Lexington, KY 40506, USA, 2The Jackson Laboratory, Bar Harbor, ME 04609, USA, 3Signal solutions, LLC, Lexington, KY 40503, USA, 4Dept. of Biostatistics, University of Kentucky, Lexington, KY 40536, USA, 5Dept. of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506, USA. 6Dept. of Biomedical Engineering, University of Kentucky, Lexington, KY 40506, USA. *These authors contributed equally Address for correspondence and proofs: Shreyas S. Joshi, Ph.D. Dept. of Biology University of Kentucky 675 Rose Street 101 Morgan Building Lexington, KY 40506 U.S.A. Phone: (859) 257-2805 FAX: (859) 257-1717 Email: [email protected] Running title: Sleep changes in knockout mice bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 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. -
Prox1regulates the Subtype-Specific Development of Caudal Ganglionic
The Journal of Neuroscience, September 16, 2015 • 35(37):12869–12889 • 12869 Development/Plasticity/Repair Prox1 Regulates the Subtype-Specific Development of Caudal Ganglionic Eminence-Derived GABAergic Cortical Interneurons X Goichi Miyoshi,1 Allison Young,1 Timothy Petros,1 Theofanis Karayannis,1 Melissa McKenzie Chang,1 Alfonso Lavado,2 Tomohiko Iwano,3 Miho Nakajima,4 Hiroki Taniguchi,5 Z. Josh Huang,5 XNathaniel Heintz,4 Guillermo Oliver,2 Fumio Matsuzaki,3 Robert P. Machold,1 and Gord Fishell1 1Department of Neuroscience and Physiology, NYU Neuroscience Institute, Smilow Research Center, New York University School of Medicine, New York, New York 10016, 2Department of Genetics & Tumor Cell Biology, St. Jude Children’s Research Hospital, Memphis, Tennessee 38105, 3Laboratory for Cell Asymmetry, RIKEN Center for Developmental Biology, Kobe 650-0047, Japan, 4Laboratory of Molecular Biology, Howard Hughes Medical Institute, GENSAT Project, The Rockefeller University, New York, New York 10065, and 5Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 Neurogliaform (RELNϩ) and bipolar (VIPϩ) GABAergic interneurons of the mammalian cerebral cortex provide critical inhibition locally within the superficial layers. While these subtypes are known to originate from the embryonic caudal ganglionic eminence (CGE), the specific genetic programs that direct their positioning, maturation, and integration into the cortical network have not been eluci- dated. Here, we report that in mice expression of the transcription factor Prox1 is selectively maintained in postmitotic CGE-derived cortical interneuron precursors and that loss of Prox1 impairs the integration of these cells into superficial layers. Moreover, Prox1 differentially regulates the postnatal maturation of each specific subtype originating from the CGE (RELN, Calb2/VIP, and VIP). -
Apba, a New Genetic Locus Involved in Thiamine Biosynthesis in Salmonella Typhimurium DIANA M
JOURNAL OF BACrERIOLOGY, Aug. 1994, p. 4858-4864 Vol. 176, No. 16 0021-9193/94/$04.00+0 Copyright X 1994, American Society for Microbiology apbA, a New Genetic Locus Involved in Thiamine Biosynthesis in Salmonella typhimurium DIANA M. DOWNS* AND LESLIE PETERSEN Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin 53706 Received 3 February 1994/Returned for modification 14 April 1994/Accepted 3 June 1994 In Salnonella typhimurium, the synthesis of the pyrimidine moiety of thiamine can occur by utilization of the first five steps in de novo purine biosynthesis or independently of the pur genes through the alternative pyrimidine biosynthetic, or APB, pathway (D. M. Downs, J. Bacteriol. 174:1515-1521, 1992). We have isolated the first mutations defective in the APB pathway. These mutations define the apbA locus and map at 10.5 min on the S. typhimurium chromosome. We have cloned and sequenced the apbA gene and found it to encode a 32-kDa polypeptide whose sequence predicts an NAD/flavin adenine dinucleotide-binding pocket in the protein. The phenotypes of apbA mutants suggest that, under some conditions, the APB pathway is the sole source of the pyrimidine moiety of thiamine in wild-type S. typhimurium, and furthermore, the pur genetic background of the strain influences whether this pathway can function under aerobic and/or anaerobic growth conditions. Thiamine (vitamin B1) is a required nutrient for the cell and thiamine biosynthesis still required the remainingpur genes for in its coenzymic form, thiamine pyrophosphate, participates as the formation of HMP (9). a carrier of C2 units in reactions such as the ones catalyzed by Recently, we demonstrated the existence of a pathway that transketolase and pyruvate dehydrogenase. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Variant Transcript in a Patient with Therapy-Related Acute Myeloid Leukemia by Routine Leukemia Translocation Panel Screen: Implications for Diagnosis and Therapy
Downloaded from molecularcasestudies.cshlp.org on October 7, 2021 - Published by Cold Spring Harbor Laboratory Press COLD SPRING HARBOR Molecular Case Studies | RESEARCH ARTICLE Incidental identification of inv(16)(p13.1q22)/CBFB–MYH11 variant transcript in a patient with therapy-related acute myeloid leukemia by routine leukemia translocation panel screen: implications for diagnosis and therapy Andrés E. Quesada,1 Rajyalakshmi Luthra,1 Elias Jabbour,2 Keyur P. Patel,1 Joseph D. Khoury,1 Zhenya Tang,1 Hector Alvarez,1 Saradhi Mallampati,1 Guillermo Garcia-Manero,2 Guillermo Montalban-Bravo,2 L. Jeffrey Medeiros,1 and Rashmi Kanagal-Shamanna1 1Department of Hematopathology, 2Department of Leukemia, The University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030, USA Abstract A 52-yr-old woman presented with therapy-related acute myeloid leukemia. A bone marrow biopsy showed 21% blasts with a myeloid phenotype and no other notable features such as abnormal eosinophils. Routine nanofluidics-based reverse transcriptase po- lymerase chain reaction (PCR) leukemia translocation panel designed to screen for recurrent genetic abnormalities in acute leukemia detected an inversion 16 transcript variant E. This prompted rereview of karyotype and fluorescence in situ hybridization studies, which con- firmed inv(16), leading to appropriate prognostication and modification of treatment. This Corresponding author: case underscores the utility of a powerful molecular screening method for the routine detec- [email protected] tion of recurrent genetic abnormalities of acute myeloid leukemia. It was especially useful in this case because of the lack of characteristic morphologic findings seen in inversion 16 and the difficulty in its detection by conventional karyotype analysis. -
Core Binding Factor Β Is Required for Group 2 Innate Lymphoid Cell Activation
Cutting Edge: Core Binding Factor β Is Required for Group 2 Innate Lymphoid Cell Activation This information is current as Xiaofei Shen, Mingwei Liang, Xiangyu Chen, Muhammad of September 24, 2021. Asghar Pasha, Shanti S. D'Souza, Kelsi Hidde, Jennifer Howard, Dil Afroz Sultana, Ivan Ting Hin Fung, Longyun Ye, Jiexue Pan, Gang Liu, James R. Drake, Lisa A. Drake, Jinfang Zhu, Avinash Bhandoola and Qi Yang J Immunol 2019; 202:1669-1673; Prepublished online 6 Downloaded from February 2019; doi: 10.4049/jimmunol.1800852 http://www.jimmunol.org/content/202/6/1669 http://www.jimmunol.org/ Supplementary http://www.jimmunol.org/content/suppl/2019/02/05/jimmunol.180085 Material 2.DCSupplemental References This article cites 20 articles, 10 of which you can access for free at: http://www.jimmunol.org/content/202/6/1669.full#ref-list-1 Why The JI? Submit online. by guest on September 24, 2021 • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2019 by The American Association of Immunologists, Inc. All rights reserved.