Targeting Cd37 and Folate Receptor for Cancer Therapy: Strategies Based on Engineered Proteins and Liposomes
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Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse
Welcome to More Choice CD Marker Handbook For more information, please visit: Human bdbiosciences.com/eu/go/humancdmarkers Mouse bdbiosciences.com/eu/go/mousecdmarkers Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse CD3 CD3 CD (cluster of differentiation) molecules are cell surface markers T Cell CD4 CD4 useful for the identification and characterization of leukocytes. The CD CD8 CD8 nomenclature was developed and is maintained through the HLDA (Human Leukocyte Differentiation Antigens) workshop started in 1982. CD45R/B220 CD19 CD19 The goal is to provide standardization of monoclonal antibodies to B Cell CD20 CD22 (B cell activation marker) human antigens across laboratories. To characterize or “workshop” the antibodies, multiple laboratories carry out blind analyses of antibodies. These results independently validate antibody specificity. CD11c CD11c Dendritic Cell CD123 CD123 While the CD nomenclature has been developed for use with human antigens, it is applied to corresponding mouse antigens as well as antigens from other species. However, the mouse and other species NK Cell CD56 CD335 (NKp46) antibodies are not tested by HLDA. Human CD markers were reviewed by the HLDA. New CD markers Stem Cell/ CD34 CD34 were established at the HLDA9 meeting held in Barcelona in 2010. For Precursor hematopoetic stem cell only hematopoetic stem cell only additional information and CD markers please visit www.hcdm.org. Macrophage/ CD14 CD11b/ Mac-1 Monocyte CD33 Ly-71 (F4/80) CD66b Granulocyte CD66b Gr-1/Ly6G Ly6C CD41 CD41 CD61 (Integrin b3) CD61 Platelet CD9 CD62 CD62P (activated platelets) CD235a CD235a Erythrocyte Ter-119 CD146 MECA-32 CD106 CD146 Endothelial Cell CD31 CD62E (activated endothelial cells) Epithelial Cell CD236 CD326 (EPCAM1) For Research Use Only. -
AML Serum Mir-150 Mir-155 Mir-1246 Prog
Supplementary Table S1. Summary of current studies on EVs as biomarkers Disease Source Cargo Role Reference AML serum TGF-β1, CD34, Prognostic [21] CD33, CD117 AML serum miR-150 Prognostic [23] miR-155 miR-1246 AML serum miR-125b Prognostic [24] AML serum miR-10b Prognostic [25] CLL serum CD19, CD37 Prognostic [27] CLL plasma S100-A9 protein Prognostic [29] CLL plasma CD52 Prognostic [30] CLL plasma miR-150, miR-155, Diagnostic [31] miR-223, miR-29 CD37, CD9, CD63 CLL plasma mc-COX2 Prognostic [33] MF plasma CD61, CD62P Prognostic [34] MM serum CD38, CD138, Prognostic [37] CD44, CD147 MM serum let-7b and miR-18a Prognostic [40] nHL /HL plasma CD20/CD30 Diagnostic/Prognostic [20] Lymphoma plasma CD20 Prognostic [43] HL plasma miR-23p Diagnostic [44] miR-127-3p miR-21-5p miR-155-5p let-7a-5p Lymphoma plasma BCL-6 Prognostic [45] c-myc 1 Supplementary Table S2. Summary of current studies on EVs: re-education of the bone marrow niche Disease EV Target Cargo Functional effects Reference origin/Source AML AML cells MSC/stromal / Downregulating of KITL, [52] cells CXCL12, IGF1; Reducing support to normal hemopoiesis AML AML cells Stromal cells miR-155 Reducing secretion of [54] miR-375 cytokines and growth factor; miR-150 Affecting retention and differentiation of HSC in the bone marrow AML/MDS AML/MDS cells MSC miR-7977 Reducing the hemopoiesis [55] supportive capacity CLL CLL cells MSC miR-202-3p Promoting migration, [32] survival and proliferation CLL Plasma Stromal cells / Production of VEGF, [26] promoting survival of B cells CLL CLL cells -
Immunocytochemical Analysis of Human Synovial Lining Cells: Phenotypic Relation to Other Marrow Ann Rheum Dis: First Published As 10.1136/Ard.50.5.311 on 1 May 1991
Annals ofthe Rheumatic Diseases 1991; 50: 311-315 31 Immunocytochemical analysis of human synovial lining cells: phenotypic relation to other marrow Ann Rheum Dis: first published as 10.1136/ard.50.5.311 on 1 May 1991. Downloaded from derived cells N A Athanasou, J Quinn Abstract system,20 21 synovial lining cell specific The antigenic phenotype of human synovial progenitors are produced in the marrow by a lining cells in normal and hyperplastic synovial lining cell lineage that diverges at some synovium intima was determined with a panel early stage from that of monocytes and tissue of monoclonal antibodies directed against macrophages. a large number of well defined myeloid To investigate the origin and development of (macrophage/granulocyte associated) antigens. synovial lining cells further we sought to define Synovial lining cells express numerous macro- the antigenic phenotype of human synovial phage associated antigens, including CD11b lining cells and subintimal macrophages in the (CR3), CD13, CD14, CD16 (FcRIII), CD18, synovial membrane. We used a large number of CD32 (FcRII), CD45 (leucocyte common monoclonal antibodies directed against defined antigen), CD54 (ICAM-1), CD64 (FcRI), myeloid (granulocyte/macrophage associated) CD68, and CD71 (transferrin receptor). antigens for the immunohistochemical staining Few synovial lining cells expressed CD11a of human synovial lining cells and subintimal (LFA-1) and CD11c (p150,95). Subintimal macrophages in the synovial membrane. The macrophages expressed all the macrophage pattern of antigen expression by these cells not associated antigens which were present on only has implications for synovial lining cell synovial lining cells and, in addition, expressed origin and development but also for function CD15a, CD25 (interleukin-2 receptor), CD34, and interaction of these cells with other inflam- and CD35 (C3b receptor), none of which was matory cells. -
Human Lectins, Their Carbohydrate Affinities and Where to Find Them
biomolecules Review Human Lectins, Their Carbohydrate Affinities and Where to Review HumanFind Them Lectins, Their Carbohydrate Affinities and Where to FindCláudia ThemD. Raposo 1,*, André B. Canelas 2 and M. Teresa Barros 1 1, 2 1 Cláudia D. Raposo * , Andr1 é LAQVB. Canelas‐Requimte,and Department M. Teresa of Chemistry, Barros NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829‐516 Caparica, Portugal; [email protected] 12 GlanbiaLAQV-Requimte,‐AgriChemWhey, Department Lisheen of Chemistry, Mine, Killoran, NOVA Moyne, School E41 of ScienceR622 Co. and Tipperary, Technology, Ireland; canelas‐ [email protected] NOVA de Lisboa, 2829-516 Caparica, Portugal; [email protected] 2* Correspondence:Glanbia-AgriChemWhey, [email protected]; Lisheen Mine, Tel.: Killoran, +351‐212948550 Moyne, E41 R622 Tipperary, Ireland; [email protected] * Correspondence: [email protected]; Tel.: +351-212948550 Abstract: Lectins are a class of proteins responsible for several biological roles such as cell‐cell in‐ Abstract:teractions,Lectins signaling are pathways, a class of and proteins several responsible innate immune for several responses biological against roles pathogens. such as Since cell-cell lec‐ interactions,tins are able signalingto bind to pathways, carbohydrates, and several they can innate be a immuneviable target responses for targeted against drug pathogens. delivery Since sys‐ lectinstems. In are fact, able several to bind lectins to carbohydrates, were approved they by canFood be and a viable Drug targetAdministration for targeted for drugthat purpose. delivery systems.Information In fact, about several specific lectins carbohydrate were approved recognition by Food by andlectin Drug receptors Administration was gathered for that herein, purpose. plus Informationthe specific organs about specific where those carbohydrate lectins can recognition be found by within lectin the receptors human was body. -
CD33-Specific Chimeric Antigen Receptor T Cells Exhibit Potent Preclinical Activity Against Human Acute Myeloid Leukemia
Leukemia (2015) 29, 1637–1647 © 2015 Macmillan Publishers Limited All rights reserved 0887-6924/15 www.nature.com/leu ORIGINAL ARTICLE CD33-specific chimeric antigen receptor T cells exhibit potent preclinical activity against human acute myeloid leukemia SS Kenderian1,2,5, M Ruella1,5, O Shestova1, M Klichinsky1, V Aikawa3, JJD Morrissette3, J Scholler1, D Song1, DL Porter1,4, M Carroll4, CH June1 and S Gill1,4 Patients with chemo-refractory acute myeloid leukemia (AML) have a dismal prognosis. Chimeric antigen receptor T (CART) cell therapy has produced exciting results in CD19+ malignancies and may overcome many of the limitations of conventional leukemia therapies. We developed CART cells to target CD33 (CART33) using the anti-CD33 single chain variable fragment used in gemtuzumab ozogamicin (clone My96) and tested the activity and toxicity of these cells. CART33 exhibited significant effector functions in vitro and resulted in eradication of leukemia and prolonged survival in AML xenografts. CART33 also resulted in human lineage cytopenias and reduction of myeloid progenitors in xenograft models of hematopoietic toxicity, suggesting that permanently expressed CD33-specific CART cells would have unacceptable toxicity. To enhance the viability of CART33 as an option for AML, we designed a transiently expressed mRNA anti-CD33 CAR. Gene transfer was carried out by electroporation into T cells and resulted in high-level expression with potent but self-limited activity against AML. Thus our preclinical studies show potent activity of CART33 and indicate that transient expression of anti-CD33 CAR by RNA modification could be used in patients to avoid long-term myelosuppression. CART33 therapy could be used alone or as part of a preparative regimen prior to allogeneic transplantation in refractory AML. -
Strategies and Challenges for the Next Generation of Therapeutic Antibodies
FOCUS ON THERAPEUTIC ANTIBODIES PERSPECTIVES ‘validated targets’, either because prior anti- TIMELINE bodies have clearly shown proof of activity in humans (first-generation approved anti- Strategies and challenges for the bodies on the market for clinically validated targets) or because a vast literature exists next generation of therapeutic on the importance of these targets for the disease mechanism in both in vitro and in vivo pharmacological models (experi- antibodies mental validation; although this does not necessarily equate to clinical validation). Alain Beck, Thierry Wurch, Christian Bailly and Nathalie Corvaia Basically, the strategy consists of develop- ing new generations of antibodies specific Abstract | Antibodies and related products are the fastest growing class of for the same antigens but targeting other therapeutic agents. By analysing the regulatory approvals of IgG-based epitopes and/or triggering different mecha- biotherapeutic agents in the past 10 years, we can gain insights into the successful nisms of action (second- or third-generation strategies used by pharmaceutical companies so far to bring innovative drugs to antibodies, as discussed below) or even the market. Many challenges will have to be faced in the next decade to bring specific for the same epitopes but with only one improved property (‘me better’ antibod- more efficient and affordable antibody-based drugs to the clinic. Here, we ies). This validated approach has a high discuss strategies to select the best therapeutic antigen targets, to optimize the probability of success, but there are many structure of IgG antibodies and to design related or new structures with groups working on this class of target pro- additional functions. -
Multiomics of Azacitidine-Treated AML Cells Reveals Variable And
Multiomics of azacitidine-treated AML cells reveals variable and convergent targets that remodel the cell-surface proteome Kevin K. Leunga, Aaron Nguyenb, Tao Shic, Lin Tangc, Xiaochun Nid, Laure Escoubetc, Kyle J. MacBethb, Jorge DiMartinob, and James A. Wellsa,1 aDepartment of Pharmaceutical Chemistry, University of California, San Francisco, CA 94143; bEpigenetics Thematic Center of Excellence, Celgene Corporation, San Francisco, CA 94158; cDepartment of Informatics and Predictive Sciences, Celgene Corporation, San Diego, CA 92121; and dDepartment of Informatics and Predictive Sciences, Celgene Corporation, Cambridge, MA 02140 Contributed by James A. Wells, November 19, 2018 (sent for review August 23, 2018; reviewed by Rebekah Gundry, Neil L. Kelleher, and Bernd Wollscheid) Myelodysplastic syndromes (MDS) and acute myeloid leukemia of DNA methyltransferases, leading to loss of methylation in (AML) are diseases of abnormal hematopoietic differentiation newly synthesized DNA (10, 11). It was recently shown that AZA with aberrant epigenetic alterations. Azacitidine (AZA) is a DNA treatment of cervical (12, 13) and colorectal (14) cancer cells methyltransferase inhibitor widely used to treat MDS and AML, can induce interferon responses through reactivation of endoge- yet the impact of AZA on the cell-surface proteome has not been nous retroviruses. This phenomenon, termed viral mimicry, is defined. To identify potential therapeutic targets for use in com- thought to induce antitumor effects by activating and engaging bination with AZA in AML patients, we investigated the effects the immune system. of AZA treatment on four AML cell lines representing different Although AZA treatment has demonstrated clinical benefit in stages of differentiation. The effect of AZA treatment on these AML patients, additional therapeutic options are needed (8, 9). -
Prognostic Role of Tetraspanin CD81 in Patients Withacute Myeloid Leukemia
Manuscript ID ZUMJ-2009-1946 DOI 10.21608/zumj.2020.43038.1946 ORIGINAL ARTICLE Prognostic Role of Tetraspanin CD81 in Patients withAcute Myeloid Leukemia Ola A. Hussein1*, MD, Rana A. Ahmed, MSc1*, Ayman Fathy, MD2, Hossam E. Salah1, MD 1 Clinical Pathology Department, Zagazig University, Egypt. 2 Head of Hematology Unit, Internal Medicine Department, Zagazig University, Egypt. Corresponding Author: ABSTRACT Rana Abdelatief Ahmed, Msc, Background. Acute myeloid leukemia (AML) is characterized by clonal Clinical Pathology expansion of undifferentiated myeloid precursors, resulting in impaired Department, hematopoiesis and bone marrow failure. Identification of new prognostic Faculty of Medicine, Zagazig University, markers remains important; especially those refining therapeutic options. The Zagazig, Egypt. aim of this study was to evaluate the value of Tetraspanin CD81 as a Tel. +201069909495 prognostic marker in patients with de novo AML. Email: Methods. Thirty patients with newly diagnosed AML were included in this [email protected] study, and were subjected to immunophenotyping by flow cytometry. The & [email protected] patients were followed up for one year to evaluate overall survival (OS) and * Both are considered as disease-free survival (DFS). corresponding authors. Results. CD81 was expressed in the thirteen patients with a mean percentage 31.15 ± 12.14 %. However, 17 AML patients were CD81- expression with Submit Date 2020-09-22 mean percentage 9.06 ± 3.78 %. After induction therapy, complete remission Revise Date 2020-11-01 achieved in 15 patients (50%). On the other hand, 13 patients (43.3%) did not achieve complete remission, and the remaining 2 patients were not evaluated. 2020-11-25 Accept Date OS in AML patients ranged from (8- 12 months) with median 11.57 was 71.4%. -
EURL ECVAM Recommendation on Non-Animal-Derived Antibodies
EURL ECVAM Recommendation on Non-Animal-Derived Antibodies EUR 30185 EN Joint Research Centre This publication is a Science for Policy report by the Joint Research Centre (JRC), the European Commission’s science and knowledge service. It aims to provide evidence-based scientific support to the European policymaking process. The scientific output expressed does not imply a policy position of the European Commission. Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use that might be made of this publication. For information on the methodology and quality underlying the data used in this publication for which the source is neither Eurostat nor other Commission services, users should contact the referenced source. EURL ECVAM Recommendations The aim of a EURL ECVAM Recommendation is to provide the views of the EU Reference Laboratory for alternatives to animal testing (EURL ECVAM) on the scientific validity of alternative test methods, to advise on possible applications and implications, and to suggest follow-up activities to promote alternative methods and address knowledge gaps. During the development of its Recommendation, EURL ECVAM typically mandates the EURL ECVAM Scientific Advisory Committee (ESAC) to carry out an independent scientific peer review which is communicated as an ESAC Opinion and Working Group report. In addition, EURL ECVAM consults with other Commission services, EURL ECVAM’s advisory body for Preliminary Assessment of Regulatory Relevance (PARERE), the EURL ECVAM Stakeholder Forum (ESTAF) and with partner organisations of the International Collaboration on Alternative Test Methods (ICATM). Contact information European Commission, Joint Research Centre (JRC), Chemical Safety and Alternative Methods Unit (F3) Address: via E. -
Introduction and Key Feature Comparison
Affimer® non-Antibody Binders for Affinity Applications: Introduction and Key Feature Comparison Affimer® non-Antibody Binders for Affinity Applications: Introduction and Key Feature Comparison 1 Contents Abstract Introduction Affinity-based applications in the detection, analysis and manipulation of protein targets In vitro applications Diagnostic applications Therapeutic applications Antibodies and their limitations as affinity binders Production considerations: ease, speed, cost and process control Size and structural complexity Stability under assay conditions Immobilisation onto solid support Success rate Limitations of antibodies as biosensors – stability, size and orientation Limitations of antibodies as therapeutics – immunogenicity, toxicity and 3D structure recognition Antibody engineering: future directions Alternatives to antibodies Engineered antibody fragments Aptamers Aptamer engineering – future enhancements Non-antibody protein scaffolds Affimer binders: what’s different? Affimer binders can be generated to almost any protein target, and show high discriminatory powers In practice: Development of novel Affimer diagnostic reagents for Zika virus outbreak management In practice: Affimer binders can be targeted to extracellular effector domains and allosteric regions of receptor proteins In practice: The ability of Affimer proteins to form multimers and fusion proteins allows fine tuning of therapeutic activity and stability in vivo Conclusion References Affimer® non-Antibody Binders for Affinity Applications: Introduction -
(CD33) Serves As an Immune Checkpoint Receptor for HBV Infection
The Journal of Clinical Investigation RESEARCH ARTICLE SIGLEC-3 (CD33) serves as an immune checkpoint receptor for HBV infection Tsung-Yu Tsai,1,2 Ming-Ting Huang,3 Pei-Shan Sung,3 Cheng-Yuan Peng,2,4 Mi-Hua Tao,5 Hwai-I Yang,3 Wei-Chiao Chang,6 An-Suei Yang,3 Chung-Ming Yu,3 Ya-Ping Lin,3 Ching-Yu Bau,3 Chih-Jen Huang,3 Mei-Hung Pan,3 Chung-Yi Wu,3 Chwan-Deng Hsiao,7 Yi-Hung Yeh,7 Shiteng Duan,8 James C Paulson,8 and Shie-Liang Hsieh3,9,10,11 1PhD Program for Translational Medicine, China Medical University and Academia Sinica, Taichung, Taiwan. 2Center for Digestive Medicine, Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan. 3Genomics Research Center, Academia Sinica, Taipei, Taiwan. 4 School of Medicine, China Medical University, Taichung, Taiwan. 5Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan. 6Department of Clinical Pharmacy, Taipei Medical University, Taipei, Taiwan. 7Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan. 8Department of Molecular Medicine, Scripps Research, La Jolla, California, USA. 9Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan. 10Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan. 11Institute for Cancer Biology and Drug Discovery, Taipei Medical University, Taipei, Taiwan. Chronic hepatitis B (CHB) infection is rarely eradicated by current antiviral nucleos(t)ide analogues. We found that α2,6- biantennary sialoglycans of HBV surface antigen (HBsAg) bound human SIGLEC-3 (CD33) by IP and ELISA, and the binding affinity between SIGLEC-3 and α2,6-biantennary sialoglycans was determined by biolayer interferometry (equilibrium dissociation constant [KD]: 1.95 × 10–10 ± 0.21 × 10–10 M). -
Supplementary Materials
Supplementary Materials Supplemental Figure S1. Distinct difference in expression of 576 sensome genes comparing cortex versus microglia. (A) This heatmap shows all 576 sensome candidate genes ordered by DE and with the left column shows if the gene is present in the “Hickman et al. sensome” Supplemental Figure S2. Mouse sensome and human sensome genes categorized by group. (A) Bar graph showing the number of mouse and human sensome genes per group (Cell-Cell Interactions, Chemokine and related receptors, Cytokine receptors, ECM receptors, Endogenous ligands receptors, sensors and transporters, Fc receptors, Pattern recognition and related receptors, Potential sensors but no known ligands and Purinergic and related receptors). Supplementary Figure S3. Overlap of ligands recognized by microglia sensome (A) Overlap between the ligands of the receptors from respectively human and mouse core sensome was shown using Venn Diagrams. (B) Ligands of human and mouse receptors categorized in groups (Glycoproteins, Cytokines, Immunoglobulin, Amino acids, Carbohydrates, Electrolytes, Lipopeptides, Chemokines, Neuraminic acids, Nucleic acids, Receptors, Lipids, Fatty acids, Leukotrienes, Hormones, Steroids and Phospholipids) and spread of different groups shown as parts of whole again highlighting that the distribution of ligands what the human and mouse sensome genes can sense (Categorization of ligands in Supplementary Table S1). Supplementary Figure S4. Microglia core sensome expression during aging. (A) Two-log fold change of microglia core sensome genes in aging mice derived from Holtman et al. [12]. (B) Accelerated aging model (ERCC1), with impaired DNA repair mechanism, shows changes of microglia core sensome expression [12]. (C) Microglia core sensome expression during aging in human derived from Olah et al.