Table 2S List of the Probe Sets (Each of Them Corresponding to a Gene Or A
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Identification of the Causative Gene for Simmental Arachnomelia Syndrome Using a Network-Based Disease Gene Prioritization Approach
Identification of the Causative Gene for Simmental Arachnomelia Syndrome Using a Network-Based Disease Gene Prioritization Approach Shihui Jiao1., Qin Chu2., Yachun Wang1*, Zhenquan Xie3, Shiyu Hou3, Airong Liu5, Hongjun Wu4, Lin Liu6, Fanjun Geng7, Congyong Wang7, Chunhua Qin8, Rui Tan9, Xixia Huang10, Shixin Tan11, Meng Wu12, Xianzhou Xu12, Xuan Liu1, Ying Yu1, Yuan Zhang1 1 Key Laboratory of Agricultural Animal and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China, 2 Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China, 3 Anshan Hengli Dairy Farm, Anshan, Liaoning, China, 4 Xiertala Breeding Farm, Hailaer Farm Buro, Hailaer, Inner Mongolia, China, 5 Hailaer Farm Buro, Hailaer, Inner Mongolia, China, 6 Beijing Dairy Cattle Centre, Beijing, China, 7 Dingyuan Seedstock Bulls Breeding Ltd. Company, Zhengzhou, Henan, China, 8 Ningxia Sygen BioEngineering Research Center, Yinchuan, Ningxia, China, 9 Xinjiang General Livestock Service, Urumqi, Xinjiang, China, 10 College of Animal Science, Xinjiang Agriculture University, Urumqi, Xinjiang, China, 11 Xinjiang Tianshan Animal Husbandry Bio-engineering Co. Ltd, Urumqi, Xinjiang, China, 12 Dalian Xuelong Industry Limited Group, Dalian, Liaoning, China Abstract Arachnomelia syndrome (AS), mainly found in Brown Swiss and Simmental cattle, is a congenital lethal genetic malformation of the skeletal system. In this study, a network-based disease gene prioritization approach was implemented to rank genes in the previously reported ,7 Mb region on chromosome 23 associated with AS in Simmental cattle. The top 6 ranked candidate genes were sequenced in four German Simmental bulls, one known AS-carrier ROMEL and a pooled sample of three known non-carriers (BOSSAG, RIFURT and HIRMER). -
Investigation of Key Genes and Pathways in Inhibition of Oxycodone on Vincristine-Induced Microglia Activation by Using Bioinformatics Analysis
Hindawi Disease Markers Volume 2019, Article ID 3521746, 10 pages https://doi.org/10.1155/2019/3521746 Research Article Investigation of Key Genes and Pathways in Inhibition of Oxycodone on Vincristine-Induced Microglia Activation by Using Bioinformatics Analysis Wei Liu,1 Jishi Ye,2 and Hong Yan 1 1Department of Anesthesiology, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430014, China 2Department of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, 430060 Hubei, China Correspondence should be addressed to Hong Yan; [email protected] Received 2 November 2018; Accepted 31 December 2018; Published 10 February 2019 Academic Editor: Hubertus Himmerich Copyright © 2019 Wei Liu 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. Introduction. The neurobiological mechanisms underlying the chemotherapy-induced neuropathic pain are only partially understood. Among them, microglia activation was identified as the key component of neuropathic pain. The aim of this study was to identify differentially expressed genes (DEGs) and pathways associated with vincristine-induced neuropathic pain by using bioinformatics analysis and observe the effects of oxycodone on these DEG expressions in a vincristine-induced microglia activation model. Methods. Based on microarray profile GSE53897, we identified DEGs between vincristine-induced neuropathic pain rats and the control group. Using the ToppGene database, the prioritization DEGs were screened and performed by gene ontology (GO) and signaling pathway enrichment. A protein-protein interaction (PPI) network was used to explore the relationship among DEGs. -
A Single-Cell Transcriptional Atlas Identifies Extensive Heterogeneity in the Cellular Composition of Tendons
bioRxiv preprint doi: https://doi.org/10.1101/801266; this version posted October 10, 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. A single-cell transcriptional atlas identifies extensive heterogeneity in the cellular composition of tendons Jacob B Swanson1, Andrea J De Micheli2, Nathaniel P Disser1, Leandro M Martinez1, Nicholas R Walker1,3, Benjamin D Cosgrove2, Christopher L Mendias1,3,* 1Hospital for Special Surgery, New York, NY, USA 2Meining School of Biomedical Engineering, Cornell University, Ithaca, NY, USA 3Department of Physiology and Biophysics, Weill Cornell Medical College, New York, NY, USA *Corresponding Author Christopher Mendias, PhD Hospital for Special Surgery 535 E 70th St New York, NY 10021 USA +1 212-606-1785 [email protected] Keywords: tenocyte; tendon fibroblast; pericyte; single-cell RNA sequencing bioRxiv preprint doi: https://doi.org/10.1101/801266; this version posted October 10, 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. Abstract Tendon is a dense, hypocellular connective tissue that transmits forces between muscles and bones. Cellular heterogeneity is increasingly recognized as an important factor in the biological basis of tissue homeostasis and disease, but little is known about the diversity of cells that populate tendon. Our objective was to explore the heterogeneity of cells in mouse Achilles tendons using single-cell RNA sequencing. We identified 13 unique cell types in tendons, including 4 previously undescribed populations of fibroblasts. -
KLF2 Induced
UvA-DARE (Digital Academic Repository) The transcription factor KLF2 in vascular biology Boon, R.A. Publication date 2008 Link to publication Citation for published version (APA): Boon, R. A. (2008). The transcription factor KLF2 in vascular biology. General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl) Download date:23 Sep 2021 Supplementary data: Genes induced by KLF2 Dekker et al. LocusLink Accession Gene Sequence Description Fold p-value ID number symbol change (FDR) 6654 AK022099 SOS1 cDNA FLJ12037 fis, clone HEMBB1001921. 100.00 5.9E-09 56999 AF086069 ADAMTS9 full length insert cDNA clone YZ35C05. 100.00 1.2E-09 6672 AF085934 SP100 full length insert cDNA clone YR57D07. 100.00 6.7E-13 9031 AF132602 BAZ1B Williams Syndrome critical region WS25 mRNA, partial sequence. -
Steroid-Dependent Regulation of the Oviduct: a Cross-Species Transcriptomal Analysis
University of Kentucky UKnowledge Theses and Dissertations--Animal and Food Sciences Animal and Food Sciences 2015 Steroid-dependent regulation of the oviduct: A cross-species transcriptomal analysis Katheryn L. Cerny University of Kentucky, [email protected] Right click to open a feedback form in a new tab to let us know how this document benefits ou.y Recommended Citation Cerny, Katheryn L., "Steroid-dependent regulation of the oviduct: A cross-species transcriptomal analysis" (2015). Theses and Dissertations--Animal and Food Sciences. 49. https://uknowledge.uky.edu/animalsci_etds/49 This Doctoral Dissertation is brought to you for free and open access by the Animal and Food Sciences at UKnowledge. It has been accepted for inclusion in Theses and Dissertations--Animal and Food Sciences by an authorized administrator of UKnowledge. For more information, please contact [email protected]. STUDENT AGREEMENT: I represent that my thesis or dissertation and abstract are my original work. Proper attribution has been given to all outside sources. I understand that I am solely responsible for obtaining any needed copyright permissions. I have obtained needed written permission statement(s) from the owner(s) of each third-party copyrighted matter to be included in my work, allowing electronic distribution (if such use is not permitted by the fair use doctrine) which will be submitted to UKnowledge as Additional File. I hereby grant to The University of Kentucky and its agents the irrevocable, non-exclusive, and royalty-free license to archive and make accessible my work in whole or in part in all forms of media, now or hereafter known. -
Supplemental Table 3 - Male Genes Differentially Expressed > 1.5-Fold Among Strains in E11.5 XY Gonads
Supplemental Table 3 - Male genes differentially expressed > 1.5-fold among strains in E11.5 XY gonads. Male genes differentially expressed between C57BL/6J and 129S1/SvImJ. Note: Positive fold values reflect male genes that are up regulated in C57BL/6J relative to 129S1/SvImJ. Fold Diff Gene symbol Genbank acc Description 10.77 Gcnt1 NM_173442 Mus musculus glucosaminyl (N-acetyl) transferase 1, core 2 (Gcnt1), mRNA [NM_173442] 5.50 Afp NM_007423 Mus musculus alpha fetoprotein (Afp), mRNA [NM_007423] 4.95 Hnf4a NM_008261 Mus musculus hepatic nuclear factor 4, alpha (Hnf4a), mRNA [NM_008261] 4.71 Ppp1r14c AK082372 Mus musculus 0 day neonate cerebellum cDNA, RIKEN full-length enriched library, clone:C230042N14 product:hypothetical protein, full insert sequence. [AK082372] 4.41 Gorasp2 AK020521 Mus musculus 12 days embryo embryonic body between diaphragm region and neck cDNA, RIKEN full-length enriched library, clone:9430094F20 product:inferred: golgi reassembly stacking protein 2, full insert sequence. [AK020521] 3.69 Tmc7 NM_172476 Mus musculus transmembrane channel-like gene family 7 (Tmc7), mRNA [NM_172476] 2.97 Mt2 NM_008630 Mus musculus metallothionein 2 (Mt2), mRNA [NM_008630] 2.62 Gstm6 NM_008184 Mus musculus glutathione S-transferase, mu 6 (Gstm6), mRNA [NM_008184] 2.43 Adhfe1 NM_175236 Mus musculus alcohol dehydrogenase, iron containing, 1 (Adhfe1), mRNA [NM_175236] 2.38 Txndc2 NM_153519 Mus musculus thioredoxin domain containing 2 (spermatozoa) (Txndc2), mRNA [NM_153519] 2.30 C030038J10Rik AK173336 Mus musculus mRNA for mKIAA2027 -
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Patterns of DNA methylation on the human X chromosome and use in analyzing X-chromosome inactivation by Allison Marie Cotton B.Sc., The University of Guelph, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in The Faculty of Graduate Studies (Medical Genetics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) January 2012 © Allison Marie Cotton, 2012 Abstract The process of X-chromosome inactivation achieves dosage compensation between mammalian males and females. In females one X chromosome is transcriptionally silenced through a variety of epigenetic modifications including DNA methylation. Most X-linked genes are subject to X-chromosome inactivation and only expressed from the active X chromosome. On the inactive X chromosome, the CpG island promoters of genes subject to X-chromosome inactivation are methylated in their promoter regions, while genes which escape from X- chromosome inactivation have unmethylated CpG island promoters on both the active and inactive X chromosomes. The first objective of this thesis was to determine if the DNA methylation of CpG island promoters could be used to accurately predict X chromosome inactivation status. The second objective was to use DNA methylation to predict X-chromosome inactivation status in a variety of tissues. A comparison of blood, muscle, kidney and neural tissues revealed tissue-specific X-chromosome inactivation, in which 12% of genes escaped from X-chromosome inactivation in some, but not all, tissues. X-linked DNA methylation analysis of placental tissues predicted four times higher escape from X-chromosome inactivation than in any other tissue. Despite the hypomethylation of repetitive elements on both the X chromosome and the autosomes, no changes were detected in the frequency or intensity of placental Cot-1 holes. -
Cytokine-Enhanced Cytolytic Activity of Exosomes from NK Cells
Cancer Gene Therapy https://doi.org/10.1038/s41417-021-00352-2 ARTICLE Cytokine-enhanced cytolytic activity of exosomes from NK Cells 1 1 2 3 2 3 Yutaka Enomoto ● Peng Li ● Lisa M. Jenkins ● Dimitrios Anastasakis ● Gaelyn C. Lyons ● Markus Hafner ● Warren J. Leonard 1 Received: 4 February 2021 / Revised: 9 May 2021 / Accepted: 18 May 2021 This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2021. This article is published with open access Abstract Natural killer (NK) cells play key roles in immune surveillance against tumors and viral infection. NK cells distinguish abnormal cells from healthy cells by cell–cell interaction with cell surface proteins and then attack target cells via multiple mechanisms. In addition, extracellular vesicles (EVs) derived from NK cells (NK-EVs), including exosomes, possess cytotoxic capacity against tumor cells, but their characteristics and regulation by cytokines remain unknown. Here, we report that EVs derived from human NK-92 cells stimulated with IL-15 + IL-21 show enhanced cytotoxic capacity against tumor cells. Major cytolytic granules, granzyme B and granzyme H, are enriched by IL-15 + IL-21 stimulation in NK-EVs; however, knockout experiments reveal those cytolytic granules are independent of enhanced cytotoxic capacity. To find out the key molecules, mass spectrometry analyses were 1234567890();,: 1234567890();,: performed with different cytokine conditions, no cytokine, IL-15, IL-21, or IL-15 + IL-21. We then found that CD226 (DNAM-1) on NK-EVs is enriched by IL-15 + IL-21 stimulation and that blocking antibodies against CD226 reduced the cytolytic activity of NK-EVs. -
S1 Supplemental Materials Supplemental Methods Supplemental Figure 1. Immune Phenotype of Mcd19 Targeted CAR T and Dose Titratio
Supplemental Materials Supplemental Methods Supplemental Figure 1. Immune phenotype of mCD19 targeted CAR T and dose titration of in vivo efficacy. Supplemental Figure 2. Gene expression of fluorescent-protein tagged CAR T cells. Supplemental Figure 3. Fluorescent protein tagged CAR T cells function similarly to non-tagged counterparts. Supplemental Figure 4. Transduction efficiency and immune phenotype of mCD19 targeted CAR T cells for survival study (Figure 2D). Supplemental Figure 5. Transduction efficiency and immune phenotype of CAR T cells used in irradiated CAR T study (Fig. 3B-C). Supplemental Figure 6. Differential gene expression of CD4+ m19-humBBz CAR T cells. Supplemental Figure 7. CAR expression and CD4/CD8 subsets of human CD19 targeted CAR T cells for Figure 5E-G. Supplemental Figure 8. Transduction efficiency and immune phenotype of mCD19 targeted wild type (WT) and TRAF1-/- CAR T cells used for in vivo study (Figure 6D). Supplemental Figure 9. Mutated m19-musBBz CAR T cells have increased NF-κB signaling, improved cytokine production, anti-apoptosis, and in vivo function. Supplemental Figure 10. TRAF and CAR co-expression in human CD19-targeted CAR T cells. Supplemental Figure 11. TRAF2 over-expressed h19BBz CAR T cells show similar in vivo efficacy to h19BBz CAR T cells in an aggressive leukemia model. S1 Supplemental Table 1. Probesets increased in m19z and m1928z vs m19-musBBz CAR T cells. Supplemental Table 2. Probesets increased in m19-musBBz vs m19z and m1928z CAR T cells. Supplemental Table 3. Probesets differentially expressed in m19z vs m19-musBBz CAR T cells. Supplemental Table 4. Probesets differentially expressed in m1928z vs m19-musBBz CAR T cells. -
Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002) -
Variation in Protein Coding Genes Identifies Information
bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 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-NC-ND 4.0 International license. Animal complexity and information flow 1 1 2 3 4 5 Variation in protein coding genes identifies information flow as a contributor to 6 animal complexity 7 8 Jack Dean, Daniela Lopes Cardoso and Colin Sharpe* 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Institute of Biological and Biomedical Sciences 25 School of Biological Science 26 University of Portsmouth, 27 Portsmouth, UK 28 PO16 7YH 29 30 * Author for correspondence 31 [email protected] 32 33 Orcid numbers: 34 DLC: 0000-0003-2683-1745 35 CS: 0000-0002-5022-0840 36 37 38 39 40 41 42 43 44 45 46 47 48 49 Abstract bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 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-NC-ND 4.0 International license. Animal complexity and information flow 2 1 Across the metazoans there is a trend towards greater organismal complexity. How 2 complexity is generated, however, is uncertain. Since C.elegans and humans have 3 approximately the same number of genes, the explanation will depend on how genes are 4 used, rather than their absolute number. -
A Worldwide Map of Swine Short Tandem Repeats and Their
Wu et al. Genet Sel Evol (2021) 53:39 https://doi.org/10.1186/s12711-021-00631-4 Genetics Selection Evolution RESEARCH ARTICLE Open Access A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations Zhongzi Wu1, Huanfa Gong1, Mingpeng Zhang1, Xinkai Tong1, Huashui Ai1, Shijun Xiao1, Miguel Perez‑Enciso2,3, Bin Yang1* and Lusheng Huang1* Abstract Background: Short tandem repeats (STRs) are genetic markers with a greater mutation rate than single nucleotide polymorphisms (SNPs) and are widely used in genetic studies and forensics. However, most studies in pigs have focused only on SNPs or on a limited number of STRs. Results: This study screened 394 deep‑sequenced genomes from 22 domesticated pig breeds/populations world‑ wide, wild boars from both Europe and Asia, and numerous outgroup Suidaes, and identifed a set of 878,967 poly‑ morphic STRs (pSTRs), which represents the largest repository of pSTRs in pigs to date. We found multiple lines of evidence that pSTRs in coding regions were afected by purifying selection. The enrichment of trinucleotide pSTRs in coding sequences (CDS), 5′UTR and H3K4me3 regions suggests that trinucleotide STRs serve as important com‑ ponents in the exons and promoters of the corresponding genes. We demonstrated that, compared to SNPs, pSTRs provide comparable or even greater accuracy in determining the breed identity of individuals. We identifed pSTRs that showed signifcant population diferentiation between domestic pigs and wild boars in Asia and Europe. We also observed that some pSTRs were signifcantly associated with environmental variables, such as average annual tem‑ perature or altitude of the originating sites of Chinese indigenous breeds, among which we identifed loss‑of‑function and/or expanded STRs overlapping with genes such as AHR, LAS1L and PDK1.