Protein Identification of Spermatozoa and Seminal Plasma in Bottlenose
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Gene Expression and Splicing Alterations Analyzed by High Throughput RNA Sequencing of Chronic Lymphocytic Leukemia Specimens
Liao et al. BMC Cancer (2015) 15:714 DOI 10.1186/s12885-015-1708-9 RESEARCH ARTICLE Open Access Gene expression and splicing alterations analyzed by high throughput RNA sequencing of chronic lymphocytic leukemia specimens Wei Liao1, Gwen Jordaan1, Phillipp Nham2, Ryan T. Phan2, Matteo Pelegrini3 and Sanjai Sharma1,4* Abstract Background: To determine differentially expressed and spliced RNA transcripts in chronic lymphocytic leukemia specimens a high throughput RNA-sequencing (HTS RNA-seq) analysis was performed. Methods: Ten CLL specimens and five normal peripheral blood CD19+ B cells were analyzed by HTS RNA-seq. The library preparation was performed with Illumina TrueSeq RNA kit and analyzed by Illumina HiSeq 2000 sequencing system. Results: An average of 48.5 million reads for B cells, and 50.6 million reads for CLL specimens were obtained with 10396 and 10448 assembled transcripts for normal B cells and primary CLL specimens respectively. With the Cuffdiff analysis, 2091 differentially expressed genes (DEG) between B cells and CLL specimens based on FPKM (fragments per kilobase of transcript per million reads and false discovery rate, FDR q < 0.05, fold change >2) were identified. Expression of selected DEGs (n = 32) with up regulated and down regulated expression in CLL from RNA-seq data were also analyzed by qRT-PCR in a test cohort of CLL specimens. Even though there was a variation in fold expression of DEG genes between RNA-seq and qRT-PCR; more than 90 % of analyzed genes were validated by qRT-PCR analysis. Analysis of RNA-seq data for splicing alterations in CLL and B cells was performed by Multivariate Analysis of Transcript Splicing (MATS analysis). -
Genome-Wide Association Studies Identify Genetic Loci Associated With
SUPPLEMENTARY DATA Genome-wide Association Studies Identify Genetic Loci Associated with Albuminuria in Diabetes SUPPLEMENTAL MATERIALS This work is dedicated to the memory of our colleague Dr. Wen Hong Linda Kao, a wonderful person, brilliant scientist and central member of the CKDGen Consortium. 1 ©2016 American Diabetes Association. Published online at http://diabetes.diabetesjournals.org/lookup/suppl/doi:10.2337/db15-1313/-/DC1 SUPPLEMENTARY DATA Table of Contents SUPPLEMENTARY FIGURE 1: QQ PLOTS FOR ALL GWAS META-ANALYSES ............................................. 3 SUPPLEMENTARY FIGURE 2: MANHATTAN PLOTS FOR ALL GWAS META-ANALYSES ............................. 4 SUPPLEMENTARY FIGURE 3: REGIONAL ASSOCIATION PLOTS............................................................... 6 SUPPLEMENTARY FIGURE 4: EVALUATION OF GLOMERULOSCLEROSIS IN RAB38 KO, CONGENIC AND TRANSGENIC RATS. ........................................................................................................................... 17 SUPPLEMENTARY TABLE 1: CHARACTERISTICS OF THE STUDY POPULATIONS ..................................... 18 SUPPLEMENTARY TABLE 2: INFORMATION ABOUT STUDY DESIGN AND UACR MEASUREMENT .......... 20 SUPPLEMENTARY TABLE 3: STUDY-SPECIFIC INFORMATION ABOUT GENOTYPING, IMPUTATION AND DATA MANAGEMENT AND ANALYSIS ................................................................................................ 31 SUPPLEMENTARY TABLE 4: SNPS ASSOCIATED WITH UACR AMONG ALL INDIVIDUALS WITH A P-VALUE OF <1E-05. ....................................................................................................................................... -
SPATA33 Localizes Calcineurin to the Mitochondria and Regulates Sperm Motility in Mice
SPATA33 localizes calcineurin to the mitochondria and regulates sperm motility in mice Haruhiko Miyataa, Seiya Ouraa,b, Akane Morohoshia,c, Keisuke Shimadaa, Daisuke Mashikoa,1, Yuki Oyamaa,b, Yuki Kanedaa,b, Takafumi Matsumuraa,2, Ferheen Abbasia,3, and Masahito Ikawaa,b,c,d,4 aResearch Institute for Microbial Diseases, Osaka University, Osaka 5650871, Japan; bGraduate School of Pharmaceutical Sciences, Osaka University, Osaka 5650871, Japan; cGraduate School of Medicine, Osaka University, Osaka 5650871, Japan; and dThe Institute of Medical Science, The University of Tokyo, Tokyo 1088639, Japan Edited by Mariana F. Wolfner, Cornell University, Ithaca, NY, and approved July 27, 2021 (received for review April 8, 2021) Calcineurin is a calcium-dependent phosphatase that plays roles in calcineurin can be a target for reversible and rapidly acting male a variety of biological processes including immune responses. In sper- contraceptives (5). However, it is challenging to develop molecules matozoa, there is a testis-enriched calcineurin composed of PPP3CC and that specifically inhibit sperm calcineurin and not somatic calci- PPP3R2 (sperm calcineurin) that is essential for sperm motility and male neurin because of sequence similarities (82% amino acid identity fertility. Because sperm calcineurin has been proposed as a target for between human PPP3CA and PPP3CC and 85% amino acid reversible male contraceptives, identifying proteins that interact with identity between human PPP3R1 and PPP3R2). Therefore, identi- sperm calcineurin widens the choice for developing specific inhibitors. fying proteins that interact with sperm calcineurin widens the choice Here, by screening the calcineurin-interacting PxIxIT consensus motif of inhibitors that target the sperm calcineurin pathway. in silico and analyzing the function of candidate proteins through the The PxIxIT motif is a conserved sequence found in generation of gene-modified mice, we discovered that SPATA33 inter- calcineurin-binding proteins (8, 9). -
Contiguous Deletion of the NDP, MAOA, MAOB, and EFHC2 Genes in a Patient with Norrie Disease, Severe Psychomotor Retardation and Myoclonic Epilepsy
ß 2007 Wiley-Liss, Inc. American Journal of Medical Genetics Part A 143A:916–920 (2007) Contiguous Deletion of the NDP, MAOA, MAOB, and EFHC2 Genes in a Patient With Norrie Disease, Severe Psychomotor Retardation and Myoclonic Epilepsy L. Rodriguez-Revenga,1,2 I. Madrigal,1,2 L.S. Alkhalidi,3 L. Armengol,4 E. Gonza´lez,4 C. Badenas,1,2 X. Estivill,1,5 and M. Mila`1,2* 1Biochemistry and Molecular Genetics Department, Hospital Clı´nic, Barcelona, Spain 2IDIBAPS (Institut d’Investigacions Biome`diques August Pi i Sunyer), Barcelona, Spain 3Department of Health and Medical Services, Rashid Hospital, Dubai, United Arab Emirates 4Genes and Disease Programme, Centre for Genomic Regulation (CRG), Barcelona Biomedical Research Park, Barcelona, Spain 5Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain Received 20 February 2006; Accepted 7 September 2006 Norrie disease (ND) is an X-linked disorder, inherited as a Clinical features of the proband include bilateral retinal recessive trait that, therefore, mostly affects males. The gene detachment, microcephaly, severe psychomotor retardation responsible for ND, called NDP, maps to the short arm of without verbal language skills acquired, and epilepsy. The chromosome X (Xp11.4-p11.3). We report here an atypical identification and molecular characterization of this case case of ND, consisting of a patient harboring a large reinforces the idea of a new contiguous gene syndrome that submicroscopic deletion affecting not only the NDP gene would explain the complex phenotype shared by atypical but also the MAOA, MAOB, and EFHC2 genes. Microarray ND patients. ß 2007 Wiley-Liss, Inc. -
Gpr161 Anchoring of PKA Consolidates GPCR and Camp Signaling
Gpr161 anchoring of PKA consolidates GPCR and cAMP signaling Verena A. Bachmanna,1, Johanna E. Mayrhofera,1, Ronit Ilouzb, Philipp Tschaiknerc, Philipp Raffeinera, Ruth Röcka, Mathieu Courcellesd,e, Federico Apeltf, Tsan-Wen Lub,g, George S. Baillieh, Pierre Thibaultd,i, Pia Aanstadc, Ulrich Stelzlf,j, Susan S. Taylorb,g,2, and Eduard Stefana,2 aInstitute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, 6020 Innsbruck, Austria; bDepartment of Chemistry and Biochemistry, University of California, San Diego, CA 92093; cInstitute of Molecular Biology, University of Innsbruck, 6020 Innsbruck, Austria; dInstitute for Research in Immunology and Cancer, Université de Montréal, Montreal, QC, Canada H3C 3J7; eDépartement de Biochimie, Université de Montréal, Montreal, QC, Canada H3C 3J7; fOtto-Warburg Laboratory, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany; gDepartment of Pharmacology, University of California, San Diego, CA 92093; hInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8QQ, United Kingdom; iDepartment of Chemistry, Université de Montréal, Montreal, QC, Canada H3C 3J7; and jInstitute of Pharmaceutical Sciences, Pharmaceutical Chemistry, University of Graz, 8010 Graz, Austria Contributed by Susan S. Taylor, May 24, 2016 (sent for review February 18, 2016; reviewed by John J. G. Tesmer and Mark von Zastrow) Scaffolding proteins organize the information flow from activated G accounts for nanomolar binding affinities to PKA R subunit dimers protein-coupled receptors (GPCRs) to intracellular effector cascades (12, 13). Moreover, additional components of the cAMP signaling both spatially and temporally. By this means, signaling scaffolds, such machinery, such as GPCRs, adenylyl cyclases, and phosphodiester- as A-kinase anchoring proteins (AKAPs), compartmentalize kinase ases, physically interact with AKAPs (1, 5, 11, 14). -
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. -
Mammalian Male Germ Cells Are Fertile Ground for Expression Profiling Of
REPRODUCTIONREVIEW Mammalian male germ cells are fertile ground for expression profiling of sexual reproduction Gunnar Wrobel and Michael Primig Biozentrum and Swiss Institute of Bioinformatics, Klingelbergstrasse 50-70, 4056 Basel, Switzerland Correspondence should be addressed to Michael Primig; Email: [email protected] Abstract Recent large-scale transcriptional profiling experiments of mammalian spermatogenesis using rodent model systems and different types of microarrays have yielded insight into the expression program of male germ cells. These studies revealed that an astonishingly large number of loci are differentially expressed during spermatogenesis. Among them are several hundred transcripts that appear to be specific for meiotic and post-meiotic germ cells. This group includes many genes that were pre- viously implicated in spermatogenesis and/or fertility and others that are as yet poorly characterized. Profiling experiments thus reveal candidates for regulation of spermatogenesis and fertility as well as targets for innovative contraceptives that act on gene products absent in somatic tissues. In this review, consolidated high density oligonucleotide microarray data from rodent total testis and purified germ cell samples are analyzed and their impact on our understanding of the transcriptional program governing male germ cell differentiation is discussed. Reproduction (2005) 129 1–7 Introduction 2002, Sadate-Ngatchou et al. 2003) and the absence of cAMP responsive-element modulator (Crem) and deleted During mammalian male -
Supplementary Table 3 Complete List of RNA-Sequencing Analysis of Gene Expression Changed by ≥ Tenfold Between Xenograft and Cells Cultured in 10%O2
Supplementary Table 3 Complete list of RNA-Sequencing analysis of gene expression changed by ≥ tenfold between xenograft and cells cultured in 10%O2 Expr Log2 Ratio Symbol Entrez Gene Name (culture/xenograft) -7.182 PGM5 phosphoglucomutase 5 -6.883 GPBAR1 G protein-coupled bile acid receptor 1 -6.683 CPVL carboxypeptidase, vitellogenic like -6.398 MTMR9LP myotubularin related protein 9-like, pseudogene -6.131 SCN7A sodium voltage-gated channel alpha subunit 7 -6.115 POPDC2 popeye domain containing 2 -6.014 LGI1 leucine rich glioma inactivated 1 -5.86 SCN1A sodium voltage-gated channel alpha subunit 1 -5.713 C6 complement C6 -5.365 ANGPTL1 angiopoietin like 1 -5.327 TNN tenascin N -5.228 DHRS2 dehydrogenase/reductase 2 leucine rich repeat and fibronectin type III domain -5.115 LRFN2 containing 2 -5.076 FOXO6 forkhead box O6 -5.035 ETNPPL ethanolamine-phosphate phospho-lyase -4.993 MYO15A myosin XVA -4.972 IGF1 insulin like growth factor 1 -4.956 DLG2 discs large MAGUK scaffold protein 2 -4.86 SCML4 sex comb on midleg like 4 (Drosophila) Src homology 2 domain containing transforming -4.816 SHD protein D -4.764 PLP1 proteolipid protein 1 -4.764 TSPAN32 tetraspanin 32 -4.713 N4BP3 NEDD4 binding protein 3 -4.705 MYOC myocilin -4.646 CLEC3B C-type lectin domain family 3 member B -4.646 C7 complement C7 -4.62 TGM2 transglutaminase 2 -4.562 COL9A1 collagen type IX alpha 1 chain -4.55 SOSTDC1 sclerostin domain containing 1 -4.55 OGN osteoglycin -4.505 DAPL1 death associated protein like 1 -4.491 C10orf105 chromosome 10 open reading frame 105 -4.491 -
Emerging Genetic Alterations Linked to Male Infertility: X-Chromosome Copy Number Variation and Spermatogenesis Regulatory Genes’ Expression
Central Annals of Reproductive Medicine and Treatment Bringing Excellence in Open Access Research Article *Corresponding author Susana Fernandes, Department of Genetics, Faculty of Medicine of University of Porto, Al. Prof. Hernâni Emerging Genetic Alterations Monteiro, 4200 - 319 Porto, Portugal; Tel: 351 22 551 36 47; Email: Submitted: 12 October 2016 Linked to Male Infertility: Accepted: 10 February 2017 Published: 14 February 2017 X-Chromosome Copy Number Copyright © 2017 Fernandes et al. Variation and Spermatogenesis OPEN ACCESS Keywords Regulatory Genes’ Expression • Male infertility • Spermatogenesis Catarina Costa1, Maria João Pinho1,2, Alberto Barros1,2,3, and • DNA copy number variations • Gene expression Susana Fernandes1,2* 1Department of Genetics, Faculty of Medicine of University of Porto, Portugal 2i3S – Instituto de Investigação e Inovação em Saúde, University of Porto, Portugal 3Centre for Reproductive Genetics A Barros, Portugal Abstract The etiopathogenesis of primary testicular failure remains undefined in 50% of cases. Most of these idiopathic cases probably result from genetic mutations/anomalies. Novel causes, like Copy Number Variation and gene expression profile, are being explored thanks to recent advances in the field of genetics. Our aim was to study Copy Number Variation (CNV) 67, a patient-specific CNV related to spermatogenic anomaly and evaluate the expression of regulatory genes AKAP4, responsible for sperm fibrous sheet assembly, and STAG3, essential for sister chromatid cohesion during meiosis. One hundred infertile men were tested for CNV67 with quantitative PCR (qPCR). Quantitative real-time PCR was performed to evaluate gene expression patterns of the two mentioned genes in testicular biopsies from 22 idiopathic infertile patients. CNV67 deletion was found in 2% of patients, with the same semen phenotype described in previous studies. -
Identification and Characterization of RHOA-Interacting Proteins in Bovine Spermatozoa1
BIOLOGY OF REPRODUCTION 78, 184–192 (2008) Published online before print 10 October 2007. DOI 10.1095/biolreprod.107.062943 Identification and Characterization of RHOA-Interacting Proteins in Bovine Spermatozoa1 Sarah E. Fiedler, Malini Bajpai, and Daniel W. Carr2 Department of Medicine, Oregon Health & Sciences University and Veterans Affairs Medical Center, Portland, Oregon 97239 ABSTRACT Guanine nucleotide exchange factors (GEFs) catalyze the GDP for GTP exchange [2]. Activation is negatively regulated by In somatic cells, RHOA mediates actin dynamics through a both guanine nucleotide dissociation inhibitors (RHO GDIs) GNA13-mediated signaling cascade involving RHO kinase and GTPase-activating proteins (GAPs) [1, 2]. Endogenous (ROCK), LIM kinase (LIMK), and cofilin. RHOA can be RHO can be inactivated via C3 exoenzyme ADP-ribosylation, negatively regulated by protein kinase A (PRKA), and it and studies have demonstrated RHO involvement in actin-based interacts with members of the A-kinase anchoring (AKAP) cytoskeletal response to extracellular signals, including lyso- family via intermediary proteins. In spermatozoa, actin poly- merization precedes the acrosome reaction, which is necessary phosphatidic acid (LPA) [2–4]. LPA is known to signal through for normal fertility. The present study was undertaken to G-protein-coupled receptors (GPCRs) [4, 5]; specifically, LPA- determine whether the GNA13-mediated RHOA signaling activated GNA13 (formerly Ga13) promotes RHO activation pathway may be involved in acrosome reaction in bovine through GEFs [4, 6]. Activated RHO-GTP then signals RHO caudal sperm, and whether AKAPs may be involved in its kinase (ROCK), resulting in the phosphorylation and activation targeting and regulation. GNA13, RHOA, ROCK2, LIMK2, and of LIM-kinase (LIMK), which in turn phosphorylates and cofilin were all detected by Western blot in bovine caudal inactivates cofilin, an actin depolymerizer, the end result being sperm. -
Izumo1 (NM 001018013) Mouse Untagged Clone Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for MC211426 Izumo1 (NM_001018013) Mouse Untagged Clone Product data: Product Type: Expression Plasmids Product Name: Izumo1 (NM_001018013) Mouse Untagged Clone Tag: Tag Free Symbol: Izumo1 Synonyms: 1700058F15Rik; Izumo Vector: pCMV6-Entry (PS100001) E. coli Selection: Kanamycin (25 ug/mL) Cell Selection: Neomycin Fully Sequenced ORF: >MC211426 representing NM_001018013 Red=Cloning site Blue=ORF Orange=Stop codon TTTTGTAATACGACTCACTATAGGGCGGCCGGGAATTCGTCGACTGGATCCGGTACCGAGGAGATCTGCC GCCGCGATCGCC ATGGGGCCGCATTTTACACTCTTGCTGGCAGCTCTTGCCAACTGCCTGTGTCCAGGGAGGCCCTGCATCA AATGTGACCAGTTTGTGACAGATGCGCTAAAGACTTTCGAAAACACTTACCTGAATGACCACCTGCCACA CGACATTCACAAAAATGTAATGAGGATGGTGAACCATGAAGTATCGAGCTTCGGCGTAGTCACTTCGGCT GAGGATTCCTATTTGGGGGCCGTGGACGAGAACACACTGGAACAAGCAACCTGGAGTTTTCTGAAGGATC TGAAGCGTATTACAGACAGTGACTTAAAAGGAGAGCTCTTTATAAAGGAACTATTGTGGATGCTTCGTCA TCAAAAGGACATCTTTAACAATCTTGCTAGACAGTTCCAAAAGGAAGTTCTTTGTCCCAACAAATGCGGA GTGATGTCGCAGACTTTGATCTGGTGTCTTAAGTGCGAAAAGCAGTTGCACATTTGTCGGAAATCCCTAG ATTGTGGAGAGCGCCACATAGAGGTACATCGCTCGGAAGACCTGGTCCTGGACTGTCTGCTCAGTTGGCA TCGTGCTTCTAAGGGACTTACAGATTACAGTTTTTACAGGGTTTGGGAGAACAGTTCTGAGACCTTGATT GCCAAGGGGAAAGAACCATATCTGACCAAGTCGATGGTGGGTCCAGAGGATGCTGGCAACTACCGCTGTG TGCTAGATACCATCAACCAAGGTCATGCCACCGTCATCCGCTACGATGTCACAGTATTGCCCCCAAAGCA TTCAGAGGAAAACCAACCACCGAACATCATAACCCAAGAGGAGCACGAGACTCCTGTCCACGTGACTCCA CAGACACCACCGGGGCAGGAGCCAGAGTCGGAGCTGTACCCGGAGCTGCACCCAGAGTTGTACCCGGAGC -
Understanding Chronic Kidney Disease: Genetic and Epigenetic Approaches
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2017 Understanding Chronic Kidney Disease: Genetic And Epigenetic Approaches Yi-An Ko Ko University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Bioinformatics Commons, Genetics Commons, and the Systems Biology Commons Recommended Citation Ko, Yi-An Ko, "Understanding Chronic Kidney Disease: Genetic And Epigenetic Approaches" (2017). Publicly Accessible Penn Dissertations. 2404. https://repository.upenn.edu/edissertations/2404 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/2404 For more information, please contact [email protected]. Understanding Chronic Kidney Disease: Genetic And Epigenetic Approaches Abstract The work described in this dissertation aimed to better understand the genetic and epigenetic factors influencing chronic kidney disease (CKD) development. Genome-wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) significantly associated with chronic kidney disease. However, these studies have not effectively identified target genes for the CKD variants. Most of the identified variants are localized to non-coding genomic regions, and how they associate with CKD development is not well-understood. As GWAS studies only explain a small fraction of heritability, we hypothesized that epigenetic changes could explain part of this missing heritability. To identify potential gene targets of the genetic variants, we performed expression quantitative loci (eQTL) analysis, using genotyping arrays and RNA sequencing from human kidney samples. To identify the target genes of CKD-associated SNPs, we integrated the GWAS-identified SNPs with the eQTL results using a Bayesian colocalization method, coloc. This resulted in a short list of target genes, including PGAP3 and CASP9, two genes that have been shown to present with kidney phenotypes in knockout mice.