Multiplexed Engineering Glycosyltransferase Genes in CHO Cells Via Targeted Integration for Producing Antibodies with Diverse Complex‑Type N‑Glycans Ngan T
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Analysis of Trans Esnps Infers Regulatory Network Architecture
Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation. -
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Tomono et al.: Glycan evolution based on phylogenetic profiling 1 Supplementary Table S1. List of 173 enzymes that are composed of glycosyltransferases and functionally-linked glycan synthetic enzymes UniProt ID Protein Name Categories of Glycan Localization CAZy Class 1 Q8N5D6 Globoside -1,3-N -acetylgalactosaminyltransferase 1 Glycosphingolipid Golgi apparatus GT6 P16442 Histo-blood group ABO system transferase Glycosphingolipid Golgi apparatus GT6 P19526 Galactoside 2--L-fucosyltransferase 1 Glycosphingolipid Golgi apparatus GT11 Q10981 Galactoside 2--L-fucosyltransferase 2 Glycosphingolipid Golgi apparatus GT11 Q00973 -1,4 N -acetylgalactosaminyltransferase 1 Glycosphingolipid Golgi apparatus GT12 Q8NHY0 -1,4 N -acetylgalactosaminyltransferase 2 O -Glycan, N -Glycan, Glycosphingolipid Golgi apparatus GT12 Q09327 -1,4-mannosyl-glycoprotein 4--N -acetylglucosaminyltransferase N -Glycan Golgi apparatus GT17 Q09328 -1,6-mannosylglycoprotein 6--N -acetylglucosaminyltransferase A N -Glycan Golgi apparatus GT18 Q3V5L5 -1,6-mannosylglycoprotein 6--N -acetylglucosaminyltransferase B O -Glycan, N -Glycan Golgi apparatus GT18 Q92186 -2,8-sialyltransferase 8B (SIAT8-B) (ST8SiaII) (STX) N -Glycan Golgi apparatus GT29 O15466 -2,8-sialyltransferase 8E (SIAT8-E) (ST8SiaV) Glycosphingolipid Golgi apparatus GT29 P61647 -2,8-sialyltransferase 8F (SIAT8-F) (ST8SiaVI) O -Glycan Golgi apparatus GT29 Q9NSC7 -N -acetylgalactosaminide -2,6-sialyltransferase 1 (ST6GalNAcI) (SIAT7-A) O -Glycan Golgi apparatus GT29 Q9UJ37 -N -acetylgalactosaminide -2,6-sialyltransferase -
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. -
Gateways to the FANTOM5 Promoter Level Mammalian Expression Atlas
Lizio et al. Genome Biology (2015) 16:22 DOI 10.1186/s13059-014-0560-6 SOFTWARE Open Access Gateways to the FANTOM5 promoter level mammalian expression atlas Marina Lizio1,2, Jayson Harshbarger1,2, Hisashi Shimoji1,2, Jessica Severin1,2, Takeya Kasukawa2, Serkan Sahin1,2, Imad Abugessaisa2, Shiro Fukuda1, Fumi Hori1,2, Sachi Ishikawa-Kato1,2, Christopher J Mungall5, Erik Arner1,2, J Kenneth Baillie7, Nicolas Bertin1,2,19, Hidemasa Bono10, Michiel de Hoon1,2, Alexander D Diehl13, Emmanuel Dimont12, Tom C Freeman7, Kaori Fujieda10, Winston Hide12,17, Rajaram Kaliyaperumal8, Toshiaki Katayama15, Timo Lassmann1,2,18, Terrence F Meehan6, Koro Nishikata16, Hiromasa Ono10, Michael Rehli9, Albin Sandelin11, Erik A Schultes8,14, Peter AC ‘t Hoen8, Zuotian Tatum8, Mark Thompson8, Tetsuro Toyoda16, Derek W Wright7, Carsten O Daub1, Masayoshi Itoh1,2,3, Piero Carninci1,2, Yoshihide Hayashizaki1,3, Alistair RR Forrest1,2*, Hideya Kawaji1,2,3,4* and the FANTOM consortium Abstract The FANTOM5 project investigates transcription initiation activities in more than 1,000 human and mouse primary cells, cell lines and tissues using CAGE. Based on manual curation of sample information and development of an ontology for sample classification, we assemble the resulting data into a centralized data resource (http://fantom. gsc.riken.jp/5/). This resource contains web-based tools and data-access points for the research community to search and extract data related to samples, genes, promoter activities, transcription factors and enhancers across the FANTOM5 atlas. Introduction ontologies [10]). However, the ability of these surveys to One of the most comprehensive ways to study the mo- quantify RNA abundance was limited mainly due to se- lecular basis of cellular function is to quantify the pres- quencing performance. -
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. -
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). -
The Cgmp-Dependent Protein Kinase 2 Contributes to Cone Photoreceptor Degeneration in the Cnga3-Deficient Mouse Model of Achroma
International Journal of Molecular Sciences Article The cGMP-Dependent Protein Kinase 2 Contributes to Cone Photoreceptor Degeneration in the Cnga3-Deficient Mouse Model of Achromatopsia Mirja Koch 1, Constanze Scheel 1, Hongwei Ma 2, Fan Yang 2, Michael Stadlmeier 3,† , Andrea F. Glück 3, Elisa Murenu 1,4, Franziska R. Traube 3 , Thomas Carell 3, Martin Biel 1, Xi-Qin Ding 2 and Stylianos Michalakis 1,4,* 1 Department of Pharmacy—Center for Drug Research, Ludwig-Maximilians-University, 81377 Munich, Germany; [email protected] (M.K.); [email protected] (C.S.); [email protected] (E.M.); [email protected] (M.B.) 2 Department of Cell Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA; [email protected] (H.M.); [email protected] (F.Y.); [email protected] (X.-Q.D.) 3 Department of Chemistry, Ludwig-Maximilians-University, 81377 Munich, Germany; [email protected] (M.S.); [email protected] (A.F.G.); [email protected] (F.R.T.); [email protected] (T.C.) 4 Department of Ophthalmology, Ludwig-Maximilians-University, 80336 Munich, Germany * Correspondence: [email protected] † Present affiliation: Lewis-Sigler Institute for Integrative Genomics, Princeton University, NJ 08544, USA. Abstract: Mutations in the CNGA3 gene, which encodes the A subunit of the cyclic guanosine monophosphate (cGMP)-gated cation channel in cone photoreceptor outer segments, cause total colour blindness, also referred to as achromatopsia. Cones lacking this channel protein are non- functional, accumulate high levels of the second messenger cGMP and degenerate over time after induction of ER stress. -
An Investigation Into the Genetic Architecture of Multiple System Atrophy and Familial Parkinson's Disease
An investigation into the genetic architecture of multiple system atrophy and familial Parkinson’s disease By Monica Federoff A thesis submitted to University College London for the degree of Doctor of Philosophy Laboratory of Neurogenetics, Department of Molecular Neuroscience, Institute of Neurology, University College London (UCL) 2 I, Monica Federoff, confirm that the work presented in this thesis is my own. Information derived from other sources and collaborative work have been indicated appropriately. Signature: Date: 09/06/2016 3 Acknowledgements: When I first joined the Laboratory of Neurogenetics (LNG), NIA, NIH as a summer intern in 2008, I had minimal experience working in a laboratory and was both excited and anxious at the prospect of it. From my very first day, Dr. Andrew Singleton was incredibly welcoming and introduced me to my first mentor, Dr. Javier Simon- Sanchez. Within just ten weeks working in the lab, both Dr. Singleton and Dr. Simon- Sanchez taught me the fundamental skills in an encouraging and supportive environment. I quickly got to know others in the lab, some of whom are still here today, and I sincerely appreciate their help with my assimilation into the LNG. After returning for an additional summer and one year as an IRTA postbac, I was honored to pursue a PhD in such an intellectually stimulating and comfortable environment. I am so grateful that Dr. Singleton has been such a wonderful mentor, as he is not only a brilliant scientist, but also extremely personable and approachable. If I inquire about meeting with him, he always manages to make time in his busy schedule and provides excellent guidance and mentorship. -
B4GALT2 Rabbit Pab
Leader in Biomolecular Solutions for Life Science B4GALT2 Rabbit pAb Catalog No.: A17573 Basic Information Background Catalog No. This gene is one of seven beta-1,4-galactosyltransferase (beta4GalT) genes. They A17573 encode type II membrane-bound glycoproteins that appear to have exclusive specificity for the donor substrate UDP-galactose; all transfer galactose in a beta1,4 linkage to Observed MW similar acceptor sugars: GlcNAc, Glc, and Xyl. Each beta4GalT has a distinct function in 42kDa the biosynthesis of different glycoconjugates and saccharide structures. As type II membrane proteins, they have an N-terminal hydrophobic signal sequence that directs Calculated MW the protein to the Golgi apparatus and which then remains uncleaved to function as a transmembrane anchor. By sequence similarity, the beta4GalTs form four groups: Category beta4GalT1 and beta4GalT2, beta4GalT3 and beta4GalT4, beta4GalT5 and beta4GalT6, and beta4GalT7. The enzyme encoded by this gene synthesizes N-acetyllactosamine in Primary antibody glycolipids and glycoproteins. Its substrate specificity is affected by alpha-lactalbumin but it is not expressed in lactating mammary tissue. Three transcript variants encoding Applications two different isoforms have been found for this gene. [provided by RefSeq, Jul 2011] WB,IHC Cross-Reactivity Human, Mouse, Rat Recommended Dilutions Immunogen Information WB 1:500 - 1:2000 Gene ID Swiss Prot 8704 O60909 IHC 1:100 - 1:200 Immunogen Recombinant fusion protein containing a sequence corresponding to amino acids 155-271 of human B4GALT2 (NP_085076.2). Synonyms B4Gal-T2;B4Gal-T3;beta4Gal-T2;B4GALT2 Contact Product Information 400-999-6126 Source Isotype Purification Rabbit IgG Affinity purification [email protected] www.abclonal.com.cn Storage Store at -20℃. -
GANC (NM 001301409) Human 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 SC335588 GANC (NM_001301409) Human Untagged Clone Product data: Product Type: Expression Plasmids Product Name: GANC (NM_001301409) Human Untagged Clone Tag: Tag Free Symbol: GANC Vector: pCMV6-Entry (PS100001) E. coli Selection: Kanamycin (25 ug/mL) Cell Selection: Neomycin Fully Sequenced ORF: >NCBI ORF sequence for NM_001301409, the custom clone sequence may differ by one or more nucleotides ATGGAAGCAGCAGTGAAAGAGGAAATAAGTCTTGAAGATGAAGCTGTAGATAAAAACATTTTCAGAGACT GTAACAAGATCGCATTTTACAGGCGTCAGAAACAGTGGCTTTCCAAGAAGTCCACCTATCAGGCATTATT GGATTCAGTCACAACAGATGAAGACAGCACCAGGTTCCAAATCATCAATGAAGCAAGTAAGGTTCCTCTC CTGGCTGAAATTTATGGTATAGAAGGAAACATTTTCAGGCTTAAAATTAATGAAGAGACTCCTCTAAAAC CCAGATTTGAAGTTCCGGATGTCCTCACAAGCAAGCCAAGCACTGTAAGGCTGATTTCATGCTCTGGGGA CACAGGCAGTCTGATATTGGCAGATGGAAAAGGAGACCTGAAGTGCCATATCACAGCAAACCCATTCAAG GTAGACTTGGTGTCTGAAGAAGAGGTTGTGATTAGCATAAATTCCCTGGGCCAATTATACTTTGAGCATC TACAGATTCTTCACAAACAAAGAGCTGCTAAAGAAAATGAGGAGGAGACATCAGTGGACACCTCTCAGGA AAATCAAGAAGATCTGGGCCTGTGGGAAGAGAAATTTGGAAAATTTGTGGATATCAAAGCTAATGGCCCT TCTTCTATTGGTTTGGATTTCTCCTTGCATGGATTTGAGCATCTTTATGGGATCCCACAACATGCAGAAT CACACCAACTTAAAAATACTGGTGATGGAGATGCTTACCGTCTTTATAACCTGGATGTCTATGGATACCA AATATATGATAAAATGGGCATTTATGGTTCAGTACCTTATCTCCTGGCCCACAAACTGGGCAGAACTATA GGTATTTTCTGGCTGAATGCCTCGGAAACACTGGTGGAGATCAATACAGAGCCTGCAGTAGAGTACACAC TGACCCAGATGGGCCCAGTTGCTGCTAAACAAAAGGTCAGATCTCGCACTCATGTGCACTGGATGTCAGA -
Aberrant Sialylation in Cancer: Biomarker and Potential Target for Therapeutic Intervention?
cancers Review Aberrant Sialylation in Cancer: Biomarker and Potential Target for Therapeutic Intervention? Silvia Pietrobono * and Barbara Stecca * Tumor Cell Biology Unit, Core Research Laboratory, Institute for Cancer Research and Prevention (ISPRO), Viale Pieraccini 6, 50139 Florence, Italy * Correspondence: [email protected] (S.P.); [email protected] (B.S.); Tel.: +39-055-7944568 (S.P.); +39-055-7944567 (B.S.) Simple Summary: Sialylation is a post-translational modification that consists in the addition of sialic acid to growing glycan chains on glycoproteins and glycolipids. Aberrant sialylation is an established hallmark of several types of cancer, including breast, ovarian, pancreatic, prostate, colorectal and lung cancers, melanoma and hepatocellular carcinoma. Hypersialylation can be the effect of increased activity of sialyltransferases and results in an excess of negatively charged sialic acid on the surface of cancer cells. Sialic acid accumulation contributes to tumor progression by several paths, including stimulation of tumor invasion and migration, and enhancing immune evasion and tumor cell survival. In this review we explore the mechanisms by which sialyltransferases promote cancer progression. In addition, we provide insights into the possible use of sialyltransferases as biomarkers for cancer and summarize findings on the development of sialyltransferase inhibitors as potential anti-cancer treatments. Abstract: Sialylation is an integral part of cellular function, governing many biological processes Citation: Pietrobono, S.; Stecca, B. including cellular recognition, adhesion, molecular trafficking, signal transduction and endocytosis. Aberrant Sialylation in Cancer: Sialylation is controlled by the levels and the activities of sialyltransferases on glycoproteins and Biomarker and Potential Target for lipids. Altered gene expression of these enzymes in cancer yields to cancer-specific alterations of Therapeutic Intervention? Cancers glycoprotein sialylation. -
Evaluation of Variability in Human Protein X-Ray Structures Risa Anzai
bioRxiv preprint doi: https://doi.org/10.1101/202028; this version posted October 12, 2017. 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-ND 4.0 International license. Evaluation of variability in human protein X-ray structures Risa Anzai, Yoshiki Asami, Waka Inoue, Hina Ueno, Koya Yamada, Tetsuji Okada Department of Life Science, Gakushuin University, 1-5-1 Mejiro, Toshima-ku, Tokyo 171-8588, Japan. Corresponding author: Tetsuji Okada, Department of Life Science, Gakushuin University, 1-5-1 Mejiro, Toshima-ku, Tokyo 171-8588, Japan. +81-3-3986-0221, [email protected] Abstract Systematic analysis of statistical and dynamical properties of proteins is critical to understanding cellular events. Extraction of biologically relevant information from a set of X-ray structures is important because it can provide mechanistic details behind the functional properties of protein families, enabling rational comparison between families. Most of the current structure comparisons are pairwise-based, which hampers the global analysis of increasing contents in the Protein Data Bank. Additionally, pairing of protein structures introduces uncertainty with respect to reproducibility because it frequently accompanies other settings such as alignment and/or superimposition. This study introduces intramolecular distance scoring, for the analysis of human proteins, for each of which at least several X-ray structures are available. We show that the results are comprehensively used to overview advances at the atomic level exploration of each protein and protein family.