B3GALT4 Rabbit Pab

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Leader in Biomolecular Solutions for Life Science B3GALT4 Rabbit pAb Catalog No.: A15341 Basic Information Background Catalog No. This gene is a member of the beta-1,3-galactosyltransferase (beta3GalT) gene family. A15341 This family encodes type II membrane-bound glycoproteins with diverse enzymatic functions using different donor substrates (UDP-galactose and UDP-N- Observed MW acetylglucosamine) and different acceptor sugars (N-acetylglucosamine, galactose, N- 42kDa acetylgalactosamine). The beta3GalT genes are distantly related to the Drosophila Brainiac gene and have the protein coding sequence contained in a single exon. The Calculated MW beta3GalT proteins also contain conserved sequences not found in the beta4GalT or 41kDa alpha3GalT proteins. The carbohydrate chains synthesized by these enzymes are designated as type 1, whereas beta4GalT enzymes synthesize type 2 carbohydrate Category chains. The ratio of type 1:type 2 chains changes during embryogenesis. By sequence similarity, the beta3GalT genes fall into at least two groups: beta3GalT4 and 4 other Primary antibody beta3GalT genes (beta3GalT1-3, beta3GalT5). This gene is oriented telomere to centromere in close proximity to the ribosomal protein S18 gene. The functionality of the Applications encoded protein is limited to ganglioseries glycolipid biosynthesis. WB Cross-Reactivity Mouse Recommended Dilutions Immunogen Information WB 1:200 - 1:2000 Gene ID Swiss Prot 8705 O96024 Immunogen Recombinant fusion protein containing a sequence corresponding to amino acids 80-270 of human B3GALT4 (NP_003773.1). Synonyms B3GALT4;BETA3GALT4;GALT2;GALT4;beta-1 Contact Product Information www.abclonal.com Source Isotype Purification Rabbit IgG Affinity purification Storage Store at -20℃. Avoid freeze / thaw cycles. Buffer: PBS with 0.02% sodium azide,50% glycerol,pH7.3. Validation Data Western blot analysis of extracts of Mouse heart, using B3GALT4 antibody (A15341) at 1:1000 dilution. Secondary antibody: HRP Goat Anti-Rabbit IgG (H+L) (AS014) at 1:10000 dilution. Lysates/proteins: 25ug per lane. Blocking buffer: 3% nonfat dry milk in TBST. Detection: ECL Basic Kit (RM00020). Exposure time: 10s. Antibody | Protein | ELISA Kits | Enzyme | NGS | Service For research use only. Not for therapeutic or diagnostic purposes. Please visit http://abclonal.com for a complete listing of recommended products..

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Supplementary Material for “Characterization of the Opossum Immune Genome Provides Insights Into the Evolution of the Mammalian Immune System”
Supplementary material for “Characterization of the opossum immune genome provides insights into the evolution of the mammalian immune system” Katherine Belov1*, Claire E. Sanderson1, Janine E. Deakin2, Emily S.W. Wong1, Daniel Assange3, Kaighin A. McColl3, Alex Gout3,4, Bernard de Bono5, Terence P. Speed3, John Trowsdale5, Anthony T. Papenfuss3 1. Faculty of Veterinary Science, University of Sydney, Sydney, Australia 2. ARC Centre for Kangaroo Genomics, Research School of Biological Sciences, The Australian National University, Canberra, Australia 3. Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia 4. Department of Medical Biology, The University of Melbourne, Parkville, Australia 5. Immunology Division, University of Cambridge, Cambridge, UK *Corresponding author: K. Belov, Faculty of Veterinary Science, University of Sydney, NSW 2006, Australia ph 61 2 9351 3454, fx 61 2 9351 3957, email [email protected] MHC paralogous regions Only 36 of the 114 genes in the opossum MHC have paralogs in one of the three paralogous regions (Supplementary Table 1). Genes represented in at least three of the four paralogous regions (13 genes) were used to compare gene order, revealing rearrangements between the four regions in opossum. Table 1: MHC genes with paralogs on opossum chromosomes 1, 2 and 3, corresponding to MHC paralogous regions on human chromosomes 9, 1 and 19 respectively. MHC Chromosome 1 Chromosome 2 Chromosome 3 (Human Chr 9) (Human Chr 1) (Human Chr 19) AGPAT1 AGPAT2 AIF1 C9orf58 ATP6V1G2 ATP6V1G1 ATP6V1G3 B3GALT4 B3GALT2 BAT1 DDX39 BAT2 KIAA0515 BAT2D1 BRD2 BRD3 BRDT BRD4 C4 C5 C3 SLC44A4 SLC44A5 SLC44A2 CLIC1 CLIC3 CLIC4 COL11A2 COL5A1 COL11A1 COL5A3 CREBL1 ATF6 DDAH2 DDAH1 DDR1 DDR2 EGFL8 EGFL7 EHMT2 EHMT1 GPX5 GPX4 MHC Class I CD1 HSPA1A HSPA5 MDC1 PRG4 NOTCH4 NOTCH1 NOTCH2 NOTCH3 PBX2 PBX3 PBX1 PBX4 PHF1 MTF2 PRSS16 DPP7 PSMB9 PSMB7 RGL2 RALGDS RGL1 RGL3 RING1 RNF2 RXRB RXRA RXRG SYNGAP1 RASAL2 TAP ABCA2 TNF/LTA/LTB TNFSF8/TNFSF15 TNFSF4 CD70/TNFSF9/ TNFSF14/ TNXB TNC TNR Table 2.
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743914V1.Full.Pdf
bioRxiv preprint doi: https://doi.org/10.1101/743914; this version posted August 24, 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. 1 Cross-talks of glycosylphosphatidylinositol biosynthesis with glycosphingolipid biosynthesis 2 and ER-associated degradation 3 4 Yicheng Wang1,2, Yusuke Maeda1, Yishi Liu3, Yoko Takada2, Akinori Ninomiya1, Tetsuya 5 Hirata1,2,4, Morihisa Fujita3, Yoshiko Murakami1,2, Taroh Kinoshita1,2,* 6 7 1Research Institute for Microbial Diseases, Osaka University, Suita, Osaka 565-0871, Japan 8 2WPI Immunology Frontier Research Center, Osaka University, Suita, Osaka 565-0871, 9 Japan 10 3Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, 11 School of Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, China 12 4Current address: Center for Highly Advanced Integration of Nano and Life Sciences (G- 13 CHAIN), Gifu University, 1-1 Yanagido, Gifu-City, Gifu 501-1193, Japan 14 15 *Correspondence and requests for materials should be addressed to T.K. (email: 16 [email protected]) 17 18 19 Glycosylphosphatidylinositol (GPI)-anchored proteins and glycosphingolipids interact with 20 each other in the mammalian plasma membranes, forming dynamic microdomains. How their 21 interaction starts in the cells has been unclear. Here, based on a genome-wide CRISPR-Cas9 22 genetic screen for genes required for GPI side-chain modification by galactose in the Golgi 23 apparatus, we report that b1,3-galactosyltransferase 4 (B3GALT4), also called GM1 24 ganglioside synthase, additionally functions in transferring galactose to the N- 25 acetylgalactosamine side-chain of GPI.
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Genome-Wide Analysis of Differential Transcriptional and Epigenetic
bioRxiv preprint doi: https://doi.org/10.1101/083246; this version posted October 26, 2016. 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-NC 4.0 International license. 1 Genome-wide Analysis of Differential Transcriptional and 2 Epigenetic Variability Across Human Immune Cell Types 3 Simone Ecker,1,2,* Lu Chen,3,4 Vera Pancaldi,1 Frederik O. Bagger,4,5,6 José María Fernández,1 Enrique Carrillo de 4 Santa Pau,1 David Juan,1 Alice L. Mann,3 Stephen Watt,3 Francesco Paolo Casale,6 Nikos Sidiropoulos,7,8,9 Nicolas 5 Rapin,7,8,9 Angelika Merkel,10 BLUEPRINT Consortium, Henk Stunnenberg,11 Oliver Stegle,6 Mattia Frontini,4,5,12 Kate 6 Downes,4,5 Tomi Pastinen,13 Taco W. Kuijpers,14,15 Daniel Rico,1,17 Alfonso Valencia,1,17 Stephan Beck,2,17 Nicole 7 Soranzo3,4,17,* and Dirk S. Paul2,16,17,* 8 9 1Structural Biology and Biocomputing Programme, Spanish National Cancer Research Center (CNIO), Melchor Fernández Almagro 3, 28029 Madrid, Spain 10 2UCL Cancer Institute, University College London, 72 Huntley Street, London, WC1E 6BT, UK 11 3Department of Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1HH, UK 12 4Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Long Road, Cambridge, CB2 0PT, UK 13 5National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Long Road, Cambridge, CB2
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Supporting Information
Supporting Information Poulogiannis et al. 10.1073/pnas.1009941107 SI Materials and Methods Loss of Heterozygosity (LOH) Analysis of PARK2. Seven microsatellite Bioinformatic Analysis of Genome and Transcriptome Data. The markers (D6S1550, D6S253, D6S305, D6S955, D6S980, D6S1599, aCGH package in R was used to identify significant DNA copy and D6S396) were amplified for LOH analysis within the PARK2 number (DCN) changes in our collection of 100 sporadic CRCs locus using primers that were previously described (8). (1) (Gene Expression Omnibus, accession no. GSE12520). The MSP of the PARK2 Promoter. CpG sites within the PARK2 promoter aCGH analysis of cell lines and liver metastases was derived region were detected using the Methprimer software (http://www. from published data (2, 3). Chromosome 6 tiling-path array- urogene.org/methprimer/index.html). Methylation-specificand CGH was used to identify the smallest and most frequently al- control primers were designed using the Primo MSP software tered regions of DNA copy number change on chromosome 6. (http://www.changbioscience.com/primo/primom.html); bisulfite An integrative approach was used to correlate expression pro- modification of genomic DNA was performed as described pre- files with genomic copy number data from a SNP array from the viously (9). All tumor DNA samples from primary CRC tumors same tumors (n = 48) (4) (GSE16125), using Pearson’s corre- (n = 100) and CRC lines (n = 5), as well as those from the leukemia lation coefficient analysis to identify the relationships between cell lines KG-1a (acute myeloid leukemia, AML), U937 (acute DNA copy number changes and gene expression of those genes lymphoblastic leukemia, ALL), and Raji (Burkitt lymphoma, BL) SssI located within the small frequently altered regions of DCN were screened as part of this analysis.
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Cancer Medicine Open Access ORIGINAL RESEARCH Comparative methylome analysis in solid tumors reveals aberrant methylation at chromosome 6p in nasopharyngeal carcinoma Wei Dai1, Arthur Kwok Leung Cheung1, Josephine Mun Yee Ko1, Yue Cheng1, Hong Zheng1, Roger Kai Cheong Ngan2,3, Wai Tong Ng2,4, Anne Wing Mui Lee2,5, Chun Chung Yau2,6, Victor Ho Fu Lee1 & Maria Li Lung1,2 1Department of Clinical Oncology, University of Hong Kong, Hong Kong (SAR), China 2Center for Nasopharyngeal Carcinoma Research, University of Hong Kong, Hong Kong (SAR), China 3Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong (SAR), China 4Department of Clinical Oncology, Pamela Youde Nethersole Eastern Hospital, Hong Kong (SAR), China 5Department of Clinical Oncology, University of Hong Kong-Shenzhen Hospital, Shenzhen, China 6Department of Oncology, Princess Margaret Hospital, Hong Kong (SAR), China Keywords Abstract Chromosome 6p, EBV, Illumina HumanMethylation450, methylome, Altered patterns of DNA methylation are key features of cancer. Nasopharyn- nasopharyngeal carcinoma geal carcinoma (NPC) has the highest incidence in Southern China. Aberrant methylation at the promoter region of tumor suppressors is frequently reported Correspondence in NPC; however, genome-wide methylation changes have not been compre- Maria Li Lung, Department of Clinical hensively investigated. Therefore, we systematically analyzed methylome data in Oncology, Room L6-43, Laboratory Block, Li 25 primary NPC tumors and nontumor counterparts using a high-throughput Ka Shing Faculty of Medicine, University of approach with the Illumina HumanMethylation450 BeadChip. Comparatively, Hong Kong, 21 Sassoon Road, Pokfulam, HKSAR, China. we examined the methylome data of 11 types of solid tumors collected by The Tel: +852 3917-9783; Cancer Genome Atlas (TCGA).
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www.nature.com/scientificreports OPEN Identifcation of human glycosyltransferase genes expressed in erythroid cells predicts potential Received: 23 November 2017 Accepted: 8 March 2018 carbohydrate blood group loci Published: xx xx xxxx Magnus Jöud 1,2, Mattias Möller 1 & Martin L. Olsson 1,2 Glycans are biologically important structures synthesised by glycosyltransferase (GT) enzymes. Disruptive genetic null variants in GT genes can lead to serious illness but benign phenotypes are also seen, including antigenic diferences on the red blood cell (RBC) surface, giving rise to blood groups. To characterise known and potential carbohydrate blood group antigens without a known underlying gene, we searched public databases for human GT loci and investigated their variation in the 1000 Genomes Project (1000 G). We found 244 GT genes, distributed over 44 families. All but four GT genes had missense variants or other variants predicted to alter the amino acid sequence, and 149 GT genes (61%) had variants expected to cause null alleles, often associated with antigen-negative blood group phenotypes. In RNA-Seq data generated from erythroid cells, 155 GT genes were expressed at a transcript level comparable to, or higher than, known carbohydrate blood group loci. Filtering for GT genes predicted to cause a benign phenotype, a set of 30 genes remained, 16 of which had variants in 1000 G expected to result in null alleles. Our results identify potential blood group loci and could serve as a basis for characterisation of the genetic background underlying carbohydrate RBC antigens. Glycosyltransferases (GTs) are the enzymes (enzyme commission [EC] 2.4) that catalyse glycosylation, resulting in a wealth of glycan variants present on glycoproteins, glycosphingolipids and proteoglycans1.
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Characterisation of Novel Genetic Variants of Amyotrophic Lateral Sclerosis
Characterisation of Novel Genetic Variants of Amyotrophic Lateral Sclerosis By Tobias Alexander Moll Sheffield Institute for Translational Neuroscience A thesis submitted for the degree of Doctor of Philosophy (PhD) June 2020 Abstract Background: Amyotrophic lateral sclerosis (ALS) is an invariably fatal and relatively common neurodegenerative disorder without effective therapy. Identified genetic variants cluster in biological pathways including RNA processing, axonal transport, and protein homeostasis. Discovery of new genetic variants within new biological pathways highlights new disease biology, and can lead to novel therapeutic targets. This project will focus on the development of cell and animal models to characterise novel ALS-associated mutations associated with GLT8D1, CAV1 and CAV2. Aims and objectives: i) To evaluate the relative toxicity of ALS-associated GLT8D1 mutations in neuronal and non-neuronal cell lines via MTT and lactate dehydrogenase assays. ii) To investigate the effect of mutations on the enzyme activity of GLT8D1 using a UDP-GloTM glycosyltransferase assay. iii) To test whether mutant GLT8D1 causes fragmentation of the Golgi network using immunocytochemistry. iv) To model GLT8D1 mutations in zebrafish larvae via RNA microinjection. v) To model CAV1/CAV2 enhancer mutations in neuronal and non-neuronal cells via CRISPR/Cas9 genome editing. vi) To measure ganglioside expression in human cells expressing GLT8D1, CAV1 and CAV2 mutations using live cell imaging. Results: I studied in detail two ALS-associated GLT8D1 mutations: R92C and G78W. The relative toxicity of the mutations in model systems mirrors the clinical severity. Mutated GLT8D1 exhibits in vitro cytotoxicity and induces motor deficits in zebrafish larvae consistent with ALS. Identified GLT8D1 mutations are proximal to the substrate-binding site; both R92C and G78W mutations impair GLT8D1 enzyme activity.
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