Systematic Identification of Cancer Cell Vulnerabilities to Natural Killer Cell
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Transcriptome Analyses of Rhesus Monkey Pre-Implantation Embryos Reveal A
Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press Transcriptome analyses of rhesus monkey pre-implantation embryos reveal a reduced capacity for DNA double strand break (DSB) repair in primate oocytes and early embryos Xinyi Wang 1,3,4,5*, Denghui Liu 2,4*, Dajian He 1,3,4,5, Shengbao Suo 2,4, Xian Xia 2,4, Xiechao He1,3,6, Jing-Dong J. Han2#, Ping Zheng1,3,6# Running title: reduced DNA DSB repair in monkey early embryos Affiliations: 1 State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China 2 Key Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China 3 Yunnan Key Laboratory of Animal Reproduction, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China 4 University of Chinese Academy of Sciences, Beijing, China 5 Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China 6 Primate Research Center, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China * Xinyi Wang and Denghui Liu contributed equally to this work 1 Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press # Correspondence: Jing-Dong J. Han, Email: [email protected]; Ping Zheng, Email: [email protected] Key words: rhesus monkey, pre-implantation embryo, DNA damage 2 Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press ABSTRACT Pre-implantation embryogenesis encompasses several critical events including genome reprogramming, zygotic genome activation (ZGA) and cell fate commitment. -
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. -
Gene List HTG Edgeseq Immuno-Oncology Assay
Gene List HTG EdgeSeq Immuno-Oncology Assay Adhesion ADGRE5 CLEC4A CLEC7A IBSP ICAM4 ITGA5 ITGB1 L1CAM MBL2 SELE ALCAM CLEC4C DST ICAM1 ITGA1 ITGA6 ITGB2 LGALS1 MUC1 SVIL CDH1 CLEC5A EPCAM ICAM2 ITGA2 ITGAL ITGB3 LGALS3 NCAM1 THBS1 CDH5 CLEC6A FN1 ICAM3 ITGA4 ITGAM ITGB4 LGALS9 PVR THY1 Apoptosis APAF1 BCL2 BID CARD11 CASP10 CASP8 FADD NOD1 SSX1 TP53 TRAF3 BCL10 BCL2L1 BIRC5 CASP1 CASP3 DDX58 NLRP3 NOD2 TIMP1 TRAF2 TRAF6 B-Cell Function BLNK BTLA CD22 CD79A FAS FCER2 IKBKG PAX5 SLAMF1 SLAMF7 SPN BTK CD19 CD24 EBF4 FASLG IKBKB MS4A1 RAG1 SLAMF6 SPI1 Cell Cycle ABL1 ATF1 ATM BATF CCND1 CDK1 CDKN1B NCL RELA SSX1 TBX21 TP53 ABL2 ATF2 AXL BAX CCND3 CDKN1A EGR1 REL RELB TBK1 TIMP1 TTK Cell Signaling ADORA2A DUSP4 HES1 IGF2R LYN MAPK1 MUC1 NOTCH1 RIPK2 SMAD3 STAT5B AKT3 DUSP6 HES5 IKZF1 MAF MAPK11 MYC PIK3CD RNF4 SOCS1 STAT6 BCL6 ELK1 HEY1 IKZF2 MAP2K1 MAPK14 NFATC1 PIK3CG RORC SOCS3 SYK CEBPB EP300 HEY2 IKZF3 MAP2K2 MAPK3 NFATC3 POU2F2 RUNX1 SPINK5 TAL1 CIITA ETS1 HEYL JAK1 MAP2K4 MAPK8 NFATC4 PRKCD RUNX3 STAT1 TCF7 CREB1 FLT3 HMGB1 JAK2 MAP2K7 MAPKAPK2 NFKB1 PRKCE S100B STAT2 TYK2 CREB5 FOS HRAS JAK3 MAP3K1 MEF2C NFKB2 PTEN SEMA4D STAT3 CREBBP GATA3 IGF1R KIT MAP3K5 MTDH NFKBIA PYCARD SMAD2 STAT4 Chemokine CCL1 CCL16 CCL20 CCL25 CCL4 CCR2 CCR7 CX3CL1 CXCL12 CXCL3 CXCR1 CXCR6 CCL11 CCL17 CCL21 CCL26 CCL5 CCR3 CCR9 CX3CR1 CXCL13 CXCL5 CXCR2 MST1R CCL13 CCL18 CCL22 CCL27 CCL7 CCR4 CCRL2 CXCL1 CXCL14 CXCL6 CXCR3 PPBP CCL14 CCL19 CCL23 CCL28 CCL8 CCR5 CKLF CXCL10 CXCL16 CXCL8 CXCR4 XCL2 CCL15 CCL2 CCL24 CCL3 CCR1 CCR6 CMKLR1 CXCL11 CXCL2 CXCL9 CXCR5 -
Rabbit Anti-Phospho-CD18-SL10462R-FITC
SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-Phospho-CD18 SL10462R-FITC Product Name: Anti-Phospho-CD18 (Thr758)/FITC Chinese Name: FITC标记的磷酸化整合素β2/Integrin β2抗体 CD18 (Phospho Thr758); CD18 (Phospho-Thr758); CD18 (Phospho T758); p-CD18 (T758); p-CD18 (Thr758); Integrin beta 2; 95 subunit beta; CD 18; CD18; Cell surface adhesion glycoprotein LFA 1/CR3/P150,959 beta subunit precursor); Cell surface adhesion glycoproteins LFA 1/CR3/p150,95 subunit beta; Cell surface adhesion glycoproteins LFA-1/CR3/p150; Complement receptor C3 beta subunit; Complement Alias: receptor C3 subunit beta; Integrin beta chain beta 2; Integrin beta-2; Integrin, beta 2 (complement component 3 receptor 3 and 4 subunit); ITB2_HUMAN; ITGB2; LAD; LCAMB; Leukocyte associated antigens CD18/11A, CD18/11B, CD18/11C; Leukocyte cell adhesion molecule CD18; LFA 1; LFA1; Lymphocyte function associated antigen 1; MAC 1; MAC1; MF17; MFI7; OTTHUMP00000115278; OTTHUMP00000115279; OTTHUMP00000115280; OTTHUMP00000115281; OTTHUMP00000115282. Organism Species: Rabbit Clonality: Polyclonal React Species: Human,Mouse,Rat,Chicken,Dog,Pig,Cow,Horse,Rabbit,Sheep,Guinea Pig, Flow-Cyt=1:50-200ICC=1:50-200IF=1:50-200www.sunlongbiotech.com Applications: not yet tested in other applications. optimal dilutions/concentrations should be determined by the end user. Molecular weight: 82kDa Form: Lyophilized or Liquid Concentration: 1mg/ml KLH conjugated synthesised phosphopeptide derived from human CD18 around the immunogen: phosphorylation site of Thr758 Lsotype: IgG Purification: affinity purified by Protein A Storage Buffer: 0.01M TBS(pH7.4) with 1% BSA, 0.03% Proclin300 and 50% Glycerol. Store at -20 °C for one year. -
Anti-ICAM4 Monoclonal Antibody (DCABH-11966) This Product Is for Research Use Only and Is Not Intended for Diagnostic Use
Anti-ICAM4 monoclonal antibody (DCABH-11966) This product is for research use only and is not intended for diagnostic use. PRODUCT INFORMATION Antigen Description This gene encodes the Landsteiner-Wiener (LW) blood group antigen(s) that belongs to the immunoglobulin (Ig) superfamily, and that shares similarity with the intercellular adhesion molecule (ICAM) protein family. This ICAM protein contains 2 Ig-like C2-type domains and binds to the leukocyte adhesion LFA-1 protein. The molecular basis of the LW(A)/LW(B) blood group antigens is a single aa variation at position 100; Gln-100=LW(A) and Arg-100=LW(B). Alternative splicing results in multiple transcript variants encoding distinct isoforms. Immunogen A synthetic peptide of human ICAM4 is used for rabbit immunization. Isotype IgG Source/Host Rabbit Species Reactivity Human Purification Protein A Conjugate Unconjugated Applications Western Blot (Transfected lysate); ELISA Size 1 ea Buffer In 1x PBS, pH 7.4 Preservative None Storage Store at -20°C or lower. Aliquot to avoid repeated freezing and thawing. GENE INFORMATION Gene Name ICAM4 intercellular adhesion molecule 4 (Landsteiner-Wiener blood group) [ Homo sapiens ] Official Symbol ICAM4 Synonyms ICAM4; intercellular adhesion molecule 4 (Landsteiner-Wiener blood group); intercellular adhesion molecule 4 (LW blood group) , intercellular adhesion molecule 4, Landsteiner Wiener blood group , Landsteiner Wiener blood group , LW; intercellular adhesion molecule 4; CD242; CD242 antigen; LW blood group protein; Landsteiner-Wiener blood group -
Genetic Testing Policy Number: PG0041 ADVANTAGE | ELITE | HMO Last Review: 04/11/2021
Genetic Testing Policy Number: PG0041 ADVANTAGE | ELITE | HMO Last Review: 04/11/2021 INDIVIDUAL MARKETPLACE | PROMEDICA MEDICARE PLAN | PPO GUIDELINES This policy does not certify benefits or authorization of benefits, which is designated by each individual policyholder terms, conditions, exclusions and limitations contract. It does not constitute a contract or guarantee regarding coverage or reimbursement/payment. Paramount applies coding edits to all medical claims through coding logic software to evaluate the accuracy and adherence to accepted national standards. This medical policy is solely for guiding medical necessity and explaining correct procedure reporting used to assist in making coverage decisions and administering benefits. SCOPE X Professional X Facility DESCRIPTION A genetic test is the analysis of human DNA, RNA, chromosomes, proteins, or certain metabolites in order to detect alterations related to a heritable or acquired disorder. This can be accomplished by directly examining the DNA or RNA that makes up a gene (direct testing), looking at markers co-inherited with a disease-causing gene (linkage testing), assaying certain metabolites (biochemical testing), or examining the chromosomes (cytogenetic testing). Clinical genetic tests are those in which specimens are examined and results reported to the provider or patient for the purpose of diagnosis, prevention or treatment in the care of individual patients. Genetic testing is performed for a variety of intended uses: Diagnostic testing (to diagnose disease) Predictive -
Mutations in Splicing Factor Genes in Myeloid Malignancies: Significance and Impact on Clinical Features
cancers Review Mutations in Splicing Factor Genes in Myeloid Malignancies: Significance and Impact on Clinical Features Valeria Visconte 1, Megan O. Nakashima 2 and Heesun J. Rogers 2,* 1 Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH 44195, USA; [email protected] 2 Department of Laboratory Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-216-445-2719 Received: 15 October 2019; Accepted: 19 November 2019; Published: 22 November 2019 Abstract: Components of the pre-messenger RNA splicing machinery are frequently mutated in myeloid malignancies. Mutations in LUC7L2, PRPF8, SF3B1, SRSF2, U2AF1, and ZRSR2 genes occur at various frequencies ranging between 40% and 85% in different subtypes of myelodysplastic syndrome (MDS) and 5% and 10% of acute myeloid leukemia (AML) and myeloproliferative neoplasms (MPNs). In some instances, splicing factor (SF) mutations have provided diagnostic utility and information on clinical outcomes as exemplified by SF3B1 mutations associated with increased ring sideroblasts (RS) in MDS-RS or MDS/MPN-RS with thrombocytosis. SF3B1 mutations are associated with better survival outcomes, while SRSF2 mutations are associated with a shorter survival time and increased AML progression, and U2AF1 mutations with a lower remission rate and shorter survival time. Beside the presence of mutations, transcriptomics technologies have shown that one third of genes in AML patients are differentially expressed, leading to altered transcript stability, interruption of protein function, and improper translation compared to those of healthy individuals. The detection of SF mutations demonstrates the importance of splicing abnormalities in the hematopoiesis of MDS and AML patients given the fact that abnormal splicing regulates the function of several transcriptional factors (PU.1, RUNX1, etc.) crucial in hematopoietic function. -
An Overview About Erythrocyte Membrane
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Universidade de Lisboa: Repositório.UL Clinical Hemorheology and Microcirculation 44 (2010) 63–74 63 DOI 10.3233/CH-2010-1253 IOS Press An overview about erythrocyte membrane Sofia de Oliveira ∗ and Carlota Saldanha 1 Unidade de Biologia Microvascular e Inflamação, Instituto de Medicina Molecular, Instituto de Bioquímica, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal Received 29 May 2009 Accepted 7 September 2009 Abstract. In the sixties and seventies, erythrocytes or red blood cells (RBCs) were extensively studied. Much has been learnt particularly concerning their metabolism and gas transporter function. In the past decade, the use of new approaches and methodologies, such as proteomic analysis, has contributed for a renewed interest on the erythrocyte. Recent studies have provided us with a more detailed and comprehensive picture on the composition and organization of its cellular membrane that will be the main subject of this minireview. Unexpectedly, it has been recognized that this cell expresses several adhesion molecules on its surface, like other cellular types such blood circulating cells or endothelial cells. Taking into consideration the cellular functions of the erythrocyte, the clarification of the role of those adhesion molecules may in the future open new horizons for the biological significance of this cellular player. Keywords: Erythrocyte, erythrocyte membrane, membrane structure and adhesion molecules 1. Introduction Erythrocytes are the major cell component of blood. These red cells are a product of a differentiation process that starts in the bone marrow where hematopoietic stem cells differentiate to nucleate RBCs. -
Red Blood Cell Antigen Genotyping
Red Blood Cell Antigen Genotyping Testing is useful in determining allelic variants predicting red blood cell (RBC) antigen phenotypes for patients with recent history of transfusion or with conflicting serological antibody results due to partial, variant, or weak expression antigens. Also Tests to Consider useful as an aid in management of hemolytic disease of the fetus and newborn (HDFN). Typical Testing Strategy Disease Overview Phenotype Testing Evaluates specific RBC antigen presence by serology Prevalence and/or Incidence Results can aid in selecting antigen negative RBC units Erythrocyte alloimmunization occurs in up to 58% of sickle cell patients, up to 35% in other transfusion-dependent patients, and in approximately 0.8% of all pregnant Antigen Testing, RBC Phenotype women. Extended 0013020 Method: Hemagglutination Serological testing includes K, Fya, Fyb, Jka, Symptoms Jkb, S, s (k, cellano, testing performed if indicated) to assess maternal or paternal RBC Transfusion reactions or HDFN can occur due to alloimmunization: phenotype status. Antigen Testing, Rh Phenotype 0013019 Intravascular hemolysis: hemoglobinuria, jaundice, shock Extravascular hemolysis: fever and chills Method: Hemagglutination HDFN: fetal hemolytic anemia, hepatosplenomegaly, jaundice, erythroblastosis, Antigen testing for D, C, E, c, and e to assess neurological damage, hydrops fetalis maternal, paternal, or newborn Rh phenotype status Clinical presentation is variable and dependent upon the specific antibody and recipient factors Genotype Testing May help -
Mirepoix LLC on Behalf of Caris Life Sciences, June 22, 2020 No Revisions to These Recommendations
0211U Oncology (pan-tumor), DNA and RNA by next generation sequencing, utilizing formalin-fixed paraffin-embedded tissue, interpretative report for single nucleotide variants, copy number alterations, tumor mutational burden, and microsatellite instability, with therapy association Submitted by Joel de Jesus, Mirepoix LLC on behalf of Caris Life Sciences, June 22, 2020 No revisions to these recommendations 0211U: MI Cancer Seek™ - NGS analysis C. Public Comment Rationale • Recommendation to crosswalk 0211U MI Cancer Seek is a combined whole transcriptome AND whole exome to 0019U (NLA=$3675.00) + 0036U sequencing test that is equivalent to (NLA=$4780.00) performing both: • 0019U: Oncology, RNA, gene expression • 1x multiplier for each by whole transcriptome sequencing, formalin-fixed paraffin-embedded tissue • Recommendation of an NLA equal to or fresh frozen tissue, predictive $8455 for 0211U algorithm reported as potential targets for therapeutic agents • 0036U: Exome (ie, somatic mutations), paired formalin-fixed paraffin-embedded tumor tissue and normal specimen, sequence analyses Submitted by Joel de Jesus, Mirepoix LLC on behalf of Caris Life Sciences, June 22, 2020 No revisions to these recommendations 0211U: MI Cancer Seek™ - NGS analysis C. 0019U* 0211U 0036U** Assay type Whole Whole Whole Whole Transcriptome Transcriptome Exome Exome Sequencing Sequencing Sequencing Sequencing Platform NGS NGS (Illumina) NGS (Illumina) RNASeq RNASeq & DNASeq DNASeq Samples tested FFPE & frozen tumor tissue FFPE tumor tissue FFPE tumor tissue -
The Emerging Role for Cullin 4 Family of E3 Ligases in Tumorigenesis T ⁎ ⁎ Ji Chenga,B,1, Jianping Guob,1, Brian J
BBA - Reviews on Cancer 1871 (2019) 138–159 Contents lists available at ScienceDirect BBA - Reviews on Cancer journal homepage: www.elsevier.com/locate/bbacan Review The emerging role for Cullin 4 family of E3 ligases in tumorigenesis T ⁎ ⁎ Ji Chenga,b,1, Jianping Guob,1, Brian J. Northb, Kaixiong Taoa, Pengbo Zhouc, , Wenyi Weib, a Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China b Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA c Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, 1300 York Ave., New York, NY 10065, USA ARTICLE INFO ABSTRACT Keywords: As a member of the Cullin-RING ligase family, Cullin-RING ligase 4 (CRL4) has drawn much attention due to its CRL4, Cullin 4 broad regulatory roles under physiological and pathological conditions, especially in neoplastic events. Based on E3 ligases evidence from knockout and transgenic mouse models, human clinical data, and biochemical interactions, we PROTACs summarize the distinct roles of the CRL4 E3 ligase complexes in tumorigenesis, which appears to be tissue- and Tumorigenesis context-dependent. Notably, targeting CRL4 has recently emerged as a noval anti-cancer strategy, including Targeted therapy thalidomide and its derivatives that bind to the substrate recognition receptor cereblon (CRBN), and anticancer sulfonamides that target DCAF15 to suppress the neoplastic proliferation of multiple myeloma and colorectal cancers, respectively. To this end, PROTACs have been developed as a group of engineered bi-functional che- mical glues that induce the ubiquitination-mediated degradation of substrates via recruiting E3 ligases, such as CRL4 (CRBN) and CRL2 (pVHL). -
Download 20190410); Fragmentation for 20 S
ARTICLE https://doi.org/10.1038/s41467-020-17387-y OPEN Multi-layered proteomic analyses decode compositional and functional effects of cancer mutations on kinase complexes ✉ Martin Mehnert 1 , Rodolfo Ciuffa1, Fabian Frommelt 1, Federico Uliana1, Audrey van Drogen1, ✉ ✉ Kilian Ruminski1,3, Matthias Gstaiger1 & Ruedi Aebersold 1,2 fi 1234567890():,; Rapidly increasing availability of genomic data and ensuing identi cation of disease asso- ciated mutations allows for an unbiased insight into genetic drivers of disease development. However, determination of molecular mechanisms by which individual genomic changes affect biochemical processes remains a major challenge. Here, we develop a multilayered proteomic workflow to explore how genetic lesions modulate the proteome and are trans- lated into molecular phenotypes. Using this workflow we determine how expression of a panel of disease-associated mutations in the Dyrk2 protein kinase alter the composition, topology and activity of this kinase complex as well as the phosphoproteomic state of the cell. The data show that altered protein-protein interactions caused by the mutations are asso- ciated with topological changes and affected phosphorylation of known cancer driver pro- teins, thus linking Dyrk2 mutations with cancer-related biochemical processes. Overall, we discover multiple mutation-specific functionally relevant changes, thus highlighting the extensive plasticity of molecular responses to genetic lesions. 1 Department of Biology, Institute of Molecular Systems Biology, ETH Zurich,