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Immunome Announces Creation of COVID-19
Immunome Announces Creation of COVID-19 Advisory Board Advisory Board to help guide development and clinical testing of biosynthetic convalescent plasma as a potential COVID-19 treatment and prevention of disease September 16, 2020 07:00 AM Eastern Daylight Time EXTON, Pa.--(BUSINESS WIRE)--Immunome, a biotechnology company harnessing the human B cell response to develop potentially first-in-class investigational therapeutics for oncology and infectious diseases, announced today the appointments of Michael Diamond, MD, PhD, Jeffrey Henderson, MD, PhD, Shmuel Shoham, MD, and Susan Weiss, PhD, to its newly created COVID-19 Advisory Board. Immunome was recently awarded up to $13.3M from the U.S. Department of Defense (DoD) to use its proprietary technology to develop a novel biosynthetic convalescent plasma (BCP), derived from COVID-19 super responders, as a new potential approach to combat the pandemic. Through this effort, Immunome intends to identify a combination of antibodies that are broadly active against the virus and enable multiple viral clearance mechanisms and to synthetically manufacture for non- clinical and clinical development. “This new advisory board will provide fundamental guidance on our efforts to develop a biosynthetic convalescent plasma product candidate to treat COVID-19 patients,” said Purnanand Sarma, PhD, president and CEO of Immunome. “I am pleased to welcome these talented researchers and look forward to working together to leverage our proprietary technology to identify and develop antibodies that are potently active against this deadly virus.” Dr. Michael Diamond is the Herbert S. Gasser Professor of Medicine and a Professor of Molecular Microbiology and of Pathology and Immunology at the Washington University School of Medicine. -
Loss of Fam60a, a Sin3a Subunit, Results in Embryonic Lethality and Is Associated with Aberrant Methylation at a Subset of Gene
RESEARCH ARTICLE Loss of Fam60a, a Sin3a subunit, results in embryonic lethality and is associated with aberrant methylation at a subset of gene promoters Ryo Nabeshima1,2, Osamu Nishimura3,4, Takako Maeda1, Natsumi Shimizu2, Takahiro Ide2, Kenta Yashiro1†, Yasuo Sakai1, Chikara Meno1, Mitsutaka Kadota3,4, Hidetaka Shiratori1†, Shigehiro Kuraku3,4*, Hiroshi Hamada1,2* 1Developmental Genetics Group, Graduate School of Frontier Biosciences, Osaka University, Suita, Japan; 2Laboratory for Organismal Patterning, RIKEN Center for Developmental Biology, Kobe, Japan; 3Phyloinformatics Unit, RIKEN Center for Life Science Technologies, Kobe, Japan; 4Laboratory for Phyloinformatics, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan Abstract We have examined the role of Fam60a, a gene highly expressed in embryonic stem cells, in mouse development. Fam60a interacts with components of the Sin3a-Hdac transcriptional corepressor complex, and most Fam60a–/– embryos manifest hypoplasia of visceral organs and die in utero. Fam60a is recruited to the promoter regions of a subset of genes, with the expression of these genes being either up- or down-regulated in Fam60a–/– embryos. The DNA methylation level of the Fam60a target gene Adhfe1 is maintained at embryonic day (E) 7.5 but markedly reduced at –/– *For correspondence: E9.5 in Fam60a embryos, suggesting that DNA demethylation is enhanced in the mutant. [email protected] (SK); Examination of genome-wide DNA methylation identified several differentially methylated regions, [email protected] (HH) which were preferentially hypomethylated, in Fam60a–/– embryos. Our data suggest that Fam60a is †These authors contributed required for proper embryogenesis, at least in part as a result of its regulation of DNA methylation equally to this work at specific gene promoters. -
1 SARS Coronavirus Vaccines Protect Against Different
bioRxiv preprint doi: https://doi.org/10.1101/2021.06.01.446491; this version posted June 1, 2021. 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. SARS coronavirus vaccines protect against different coronaviruses Tanushree Dangi#1, Nicole Palacio#1, Sarah Sanchez1, Jacob Class2, Lavanya Visvabharathy3, Thomas Ciucci4,5, Igor Koralnik3, Justin Richner*2, Pablo Penaloza-MacMaster*1 1Department of Microbiology-Immunology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA. 2Department of Microbiology & Immunology, University of Illinois in Chicago, Chicago, IL 60612, USA. 3Division of Neuro-Infectious Diseases & Global Neurology. 4David H. Smith Center for Vaccine Biology and Immunology, University of Rochester, Rochester, NY 14642, USA. 5Department of Microbiology and Immunology, Center for Vaccine Biology and Immunology, University of Rochester, Rochester, NY 14642, USA. #These authors contributed equally *Correspondence: Justin Richner ([email protected]) & Pablo Penaloza-MacMaster ([email protected]) 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.06.01.446491; this version posted June 1, 2021. 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. Abstract Although SARS-CoV-2 vaccines have shown efficacy against SARS-CoV-2, it is unclear if they can also protect against other coronaviruses that may infect humans in the future. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Supplementary Table 1
Supplementary Table 1. 492 genes are unique to 0 h post-heat timepoint. The name, p-value, fold change, location and family of each gene are indicated. Genes were filtered for an absolute value log2 ration 1.5 and a significance value of p ≤ 0.05. Symbol p-value Log Gene Name Location Family Ratio ABCA13 1.87E-02 3.292 ATP-binding cassette, sub-family unknown transporter A (ABC1), member 13 ABCB1 1.93E-02 −1.819 ATP-binding cassette, sub-family Plasma transporter B (MDR/TAP), member 1 Membrane ABCC3 2.83E-02 2.016 ATP-binding cassette, sub-family Plasma transporter C (CFTR/MRP), member 3 Membrane ABHD6 7.79E-03 −2.717 abhydrolase domain containing 6 Cytoplasm enzyme ACAT1 4.10E-02 3.009 acetyl-CoA acetyltransferase 1 Cytoplasm enzyme ACBD4 2.66E-03 1.722 acyl-CoA binding domain unknown other containing 4 ACSL5 1.86E-02 −2.876 acyl-CoA synthetase long-chain Cytoplasm enzyme family member 5 ADAM23 3.33E-02 −3.008 ADAM metallopeptidase domain Plasma peptidase 23 Membrane ADAM29 5.58E-03 3.463 ADAM metallopeptidase domain Plasma peptidase 29 Membrane ADAMTS17 2.67E-04 3.051 ADAM metallopeptidase with Extracellular other thrombospondin type 1 motif, 17 Space ADCYAP1R1 1.20E-02 1.848 adenylate cyclase activating Plasma G-protein polypeptide 1 (pituitary) receptor Membrane coupled type I receptor ADH6 (includes 4.02E-02 −1.845 alcohol dehydrogenase 6 (class Cytoplasm enzyme EG:130) V) AHSA2 1.54E-04 −1.6 AHA1, activator of heat shock unknown other 90kDa protein ATPase homolog 2 (yeast) AK5 3.32E-02 1.658 adenylate kinase 5 Cytoplasm kinase AK7 -
Strand Breaks for P53 Exon 6 and 8 Among Different Time Course of Folate Depletion Or Repletion in the Rectosigmoid Mucosa
SUPPLEMENTAL FIGURE COLON p53 EXONIC STRAND BREAKS DURING FOLATE DEPLETION-REPLETION INTERVENTION Supplemental Figure Legend Strand breaks for p53 exon 6 and 8 among different time course of folate depletion or repletion in the rectosigmoid mucosa. The input of DNA was controlled by GAPDH. The data is shown as ΔCt after normalized to GAPDH. The higher ΔCt the more strand breaks. The P value is shown in the figure. SUPPLEMENT S1 Genes that were significantly UPREGULATED after folate intervention (by unadjusted paired t-test), list is sorted by P value Gene Symbol Nucleotide P VALUE Description OLFM4 NM_006418 0.0000 Homo sapiens differentially expressed in hematopoietic lineages (GW112) mRNA. FMR1NB NM_152578 0.0000 Homo sapiens hypothetical protein FLJ25736 (FLJ25736) mRNA. IFI6 NM_002038 0.0001 Homo sapiens interferon alpha-inducible protein (clone IFI-6-16) (G1P3) transcript variant 1 mRNA. Homo sapiens UDP-N-acetyl-alpha-D-galactosamine:polypeptide N-acetylgalactosaminyltransferase 15 GALNTL5 NM_145292 0.0001 (GALNT15) mRNA. STIM2 NM_020860 0.0001 Homo sapiens stromal interaction molecule 2 (STIM2) mRNA. ZNF645 NM_152577 0.0002 Homo sapiens hypothetical protein FLJ25735 (FLJ25735) mRNA. ATP12A NM_001676 0.0002 Homo sapiens ATPase H+/K+ transporting nongastric alpha polypeptide (ATP12A) mRNA. U1SNRNPBP NM_007020 0.0003 Homo sapiens U1-snRNP binding protein homolog (U1SNRNPBP) transcript variant 1 mRNA. RNF125 NM_017831 0.0004 Homo sapiens ring finger protein 125 (RNF125) mRNA. FMNL1 NM_005892 0.0004 Homo sapiens formin-like (FMNL) mRNA. ISG15 NM_005101 0.0005 Homo sapiens interferon alpha-inducible protein (clone IFI-15K) (G1P2) mRNA. SLC6A14 NM_007231 0.0005 Homo sapiens solute carrier family 6 (neurotransmitter transporter) member 14 (SLC6A14) mRNA. -
Genome-Wide CRISPR Screen for Essential Cell Growth Mediators in Mutant KRAS Colorectal Cancers Edwin H
Published OnlineFirst September 27, 2017; DOI: 10.1158/0008-5472.CAN-17-2043 Cancer Therapeutics, Targets, and Chemical Biology Research Genome-Wide CRISPR Screen for Essential Cell Growth Mediators in Mutant KRAS Colorectal Cancers Edwin H. Yau1,2,3, Indrasena Reddy Kummetha1, Gianluigi Lichinchi1, Rachel Tang1, Yunlin Zhang1, and Tariq M. Rana1,3 Abstract Targeting mutant KRAS signaling pathways continues to established synthetic enhancers or synthetic lethals for KRASMUT attract attention as a therapeutic strategy for KRAS-driven colorectal cancer, including targetable metabolic genes. Notably, tumors. In this study, we exploited the power of the CRISPR- genetic disruption or pharmacologic inhibition of the metabolic Cas9 system to identify genes affecting the tumor xenograft enzymes NAD kinase or ketohexokinase was growth inhibitory growth of human mutant KRAS (KRASMUT) colorectal cancers. in vivo. In addition, the chromatin remodeling protein INO80C Using pooled lentiviral single-guide RNA libraries, we con- was identified as a novel tumor suppressor in KRASMUT colo- ducted a genome-wide loss-of-function genetic screen in an rectal and pancreatic tumor xenografts. Our findings define a isogenic pair of human colorectal cancer cell lines harboring novel targetable set of therapeutic targets for KRASMUT tumors. mutant or wild-type KRAS. The screen identified novel and Cancer Res; 77(22); 6330–9. Ó2017 AACR. Introduction specific genome engineering in mammalian cells (3–5). By target- ing the Cas9 nuclease gene using specific single-guide RNAs The RAS family of oncogenes (KRAS, NRAS, and HRAS) is the (sgRNA) and inducing targeted double-strand DNA breaks that target of intense research for two reasons: the crucial role of are repaired by error-prone nonhomologous end joining, inser- mutant RAS proteins in tumorigenesis and the continued unmet 0 tion or deletion mutations can be introduced into 5 exons of need for therapeutic options for RAS-mutated human cancers. -
Development and Validation of a Six-RNA Binding Proteins Prognostic Signature and Candidate Drugs for Prostate Cancer
bioRxiv preprint doi: https://doi.org/10.1101/2020.06.28.175984; this version posted June 29, 2020. 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. Development and validation of a six-RNA binding proteins prognostic signature and candidate drugs for prostate cancer Lei Gao1†, Jialin Meng2†, Yong Zhang1, Junfei Gu1, Zhenwei Han1, Shenglin Gao3*, Xiaolu Wang1* 1Department of Urology, the second Hospital of Hebei Medical University, Shijiazhuang, China 2Department of Urology, The First Affiliated Hospital of Anhui Medical University, Institute of Urology, Anhui Medical University, Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, China 3 Department of Urology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, China † Authors contributed equally Correspondence: Xiaolu Wang: [email protected] Shenglin Gao: [email protected] Abstract The dysregulation of RNA binding proteins (RBPs) play critical roles in the progression of several cancers. However, the overall functions of RBPs in prostate cancer (PCa) remain poorly understood. Therefore, we first identified 144 differentially expressed RBPs in tumors compared to normal tissues based on the TCGA dataset. Next, six RBP genes (MSI1, MBNL2, LENG9, REXO2, RNASE1, PABPC1L) were screened out as prognosis hub genes by univariate, LASSO and multivariate Cox regression and used to establish the prognostic signature. Further analysis indicated that high risk group was significantly associated with poor RFS, which was validated in the MSKCC cohort. -
1 Novel Expression Signatures Identified by Transcriptional Analysis
ARD Online First, published on October 7, 2009 as 10.1136/ard.2009.108043 Ann Rheum Dis: first published as 10.1136/ard.2009.108043 on 7 October 2009. Downloaded from Novel expression signatures identified by transcriptional analysis of separated leukocyte subsets in SLE and vasculitis 1Paul A Lyons, 1Eoin F McKinney, 1Tim F Rayner, 1Alexander Hatton, 1Hayley B Woffendin, 1Maria Koukoulaki, 2Thomas C Freeman, 1David RW Jayne, 1Afzal N Chaudhry, and 1Kenneth GC Smith. 1Cambridge Institute for Medical Research and Department of Medicine, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 0XY, UK 2Roslin Institute, University of Edinburgh, Roslin, Midlothian, EH25 9PS, UK Correspondence should be addressed to Dr Paul Lyons or Prof Kenneth Smith, Department of Medicine, Cambridge Institute for Medical Research, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 0XY, UK. Telephone: +44 1223 762642, Fax: +44 1223 762640, E-mail: [email protected] or [email protected] Key words: Gene expression, autoimmune disease, SLE, vasculitis Word count: 2,906 The Corresponding Author has the right to grant on behalf of all authors and does grant on behalf of all authors, an exclusive licence (or non-exclusive for government employees) on a worldwide basis to the BMJ Publishing Group Ltd and its Licensees to permit this article (if accepted) to be published in Annals of the Rheumatic Diseases and any other BMJPGL products to exploit all subsidiary rights, as set out in their licence (http://ard.bmj.com/ifora/licence.pdf). http://ard.bmj.com/ on September 29, 2021 by guest. Protected copyright. 1 Copyright Article author (or their employer) 2009. -
An Expanded Proteome of Cardiac T-Tubules☆
Cardiovascular Pathology 42 (2019) 15–20 Contents lists available at ScienceDirect Cardiovascular Pathology Original Article An expanded proteome of cardiac t-tubules☆ Jenice X. Cheah, Tim O. Nieuwenhuis, Marc K. Halushka ⁎ Department of Pathology, Division of Cardiovascular Pathology, Johns Hopkins University SOM, Baltimore, MD, USA article info abstract Article history: Background: Transverse tubules (t-tubules) are important structural elements, derived from sarcolemma, found Received 27 February 2019 on all striated myocytes. These specialized organelles create a scaffold for many proteins crucial to the effective Received in revised form 29 April 2019 propagation of signal in cardiac excitation–contraction coupling. The full protein composition of this region is un- Accepted 17 May 2019 known. Methods: We characterized the t-tubule subproteome using 52,033 immunohistochemical images covering Keywords: 13,203 proteins from the Human Protein Atlas (HPA) cardiac tissue microarrays. We used HPASubC, a suite of Py- T-tubule fi Proteomics thon tools, to rapidly review and classify each image for a speci c t-tubule staining pattern. The tools Gene Cards, Caveolin String 11, and Gene Ontology Consortium as well as literature searches were used to understand pathways and relationships between the proteins. Results: There were 96 likely t-tubule proteins identified by HPASubC. Of these, 12 were matrisome proteins and 3 were mitochondrial proteins. A separate literature search identified 50 known t-tubule proteins. A comparison of the 2 lists revealed only 17 proteins in common, including 8 of the matrisome proteins. String11 revealed that 94 of 127 combined t-tubule proteins generated a single interconnected network. Conclusion: Using HPASubC and the HPA, we identified 78 novel, putative t-tubule proteins and validated 17 within the literature. -
Innate Immune Antagonism by Diverse Coronavirus Phosphodiesterases Stephen Goldstein University of Pennsylvania, [email protected]
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2019 Innate Immune Antagonism By Diverse Coronavirus Phosphodiesterases Stephen Goldstein University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Allergy and Immunology Commons, Immunology and Infectious Disease Commons, Medical Immunology Commons, and the Virology Commons Recommended Citation Goldstein, Stephen, "Innate Immune Antagonism By Diverse Coronavirus Phosphodiesterases" (2019). Publicly Accessible Penn Dissertations. 3363. https://repository.upenn.edu/edissertations/3363 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/3363 For more information, please contact [email protected]. Innate Immune Antagonism By Diverse Coronavirus Phosphodiesterases Abstract Coronaviruses comprise a large family of viruses within the order Nidovirales containing single-stranded positive-sense RNA genomes of 27-32 kilobases. Divided into four genera (alpha, beta, gamma, delta) and multiple newly defined subgenera, coronaviruses include a number of important human and livestock pathogens responsible for a range of diseases. Historically, human coronaviruses OC43 and 229E have been associated with up to 30% of common colds, while the 2002 emergence of severe acute respiratory syndrome- associated coronavirus (SARS-CoV) first raised the specter of these viruses as possible pandemic agents. Although the SARS-CoV pandemic was quickly contained and the virus has not returned, the 2012 discovery of Middle East respiratory syndrome-associated coronavirus (MERS-CoV) once again elevated coronaviruses to a list of global public health threats. The eg netic diversity of these viruses has resulted in their utilization of both conserved and unique mechanisms of interaction with infected host cells. Like all viruses, coronaviruses encode multiple mechanisms for evading, suppressing, or otherwise circumventing host antiviral responses. -
Genome-Wide Meta-Analysis Associates HLA-DQA1/DRB1 And
ARTICLE DOI: 10.1038/s41467-017-00934-5 OPEN Genome-wide meta-analysis associates HLA- DQA1/DRB1 and LPA and lifestyle factors with human longevity Peter K. Joshi et al.# Genomic analysis of longevity offers the potential to illuminate the biology of human aging. Here, using genome-wide association meta-analysis of 606,059 parents’ survival, we discover two regions associated with longevity (HLA-DQA1/DRB1 and LPA). We also validate previous suggestions that APOE, CHRNA3/5, CDKN2A/B, SH2B3 and FOXO3A influence longevity. Next we show that giving up smoking, educational attainment, openness to new experience and high-density lipoprotein (HDL) cholesterol levels are most positively genetically correlated with lifespan while susceptibility to coronary artery disease (CAD), cigarettes smoked per day, lung cancer, insulin resistance and body fat are most negatively correlated. We suggest that the effect of education on lifespan is principally mediated through smoking while the effect of obesity appears to act via CAD. Using instrumental variables, we suggest that an increase of one body mass index unit reduces lifespan by 7 months while 1 year of education adds 11 months to expected lifespan. Correspondence and requests for materials should be addressed to P.K.J. (email: [email protected]) #A full list of authors and their affliations appears at the end of the paper NATURE COMMUNICATIONS | 8: 910 | DOI: 10.1038/s41467-017-00934-5 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/s41467-017-00934-5 ongevity is of interest to us all, and philosophers have long SNPs. As our GWAS results were of the observed effect of speculated on the extent to which it is pre-determined by offspring genotype on parent phenotype and the actual effect of L — fate.