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VAMP3 and VAMP8 Regulate the Development and Functionality of 5 Parasitophorous Vacuoles Housing Leishmania Amazonensis
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.09.195032; this version posted July 9, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 4.0 International license. 1 2 3 4 VAMP3 and VAMP8 regulate the development and functionality of 5 parasitophorous vacuoles housing Leishmania amazonensis 6 7 8 Olivier Séguin1, Linh Thuy Mai1, Sidney W. Whiteheart2, Simona Stäger1, Albert Descoteaux1* 9 10 11 12 1Institut national de la recherche scientifique, Centre Armand-Frappier Santé Biotechnologie, 13 Laval, Québec, Canada 14 15 2Department of Molecular and Cellular Biochemistry, University of Kentucky College of 16 Medicine, Lexington, Kentucky, United States of America 17 18 19 *Corresponding author: 20 E-mail: [email protected] 21 22 23 24 Short title: SNAREs and Leishmania-harboring communal parasitophorous vacuoles 25 bioRxiv preprint doi: https://doi.org/10.1101/2020.07.09.195032; this version posted July 9, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 4.0 International license. 26 ABSTRACT 27 28 To colonize mammalian phagocytic cells, the parasite Leishmania remodels phagosomes into 29 parasitophorous vacuoles that can be either tight-fitting individual or communal. The molecular 30 and cellular bases underlying the biogenesis and functionality of these two types of vacuoles are 31 poorly understood. -
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. -
Multifactorial Erβ and NOTCH1 Control of Squamous Differentiation and Cancer
Multifactorial ERβ and NOTCH1 control of squamous differentiation and cancer Yang Sui Brooks, … , Karine Lefort, G. Paolo Dotto J Clin Invest. 2014;124(5):2260-2276. https://doi.org/10.1172/JCI72718. Research Article Oncology Downmodulation or loss-of-function mutations of the gene encoding NOTCH1 are associated with dysfunctional squamous cell differentiation and development of squamous cell carcinoma (SCC) in skin and internal organs. While NOTCH1 receptor activation has been well characterized, little is known about how NOTCH1 gene transcription is regulated. Using bioinformatics and functional screening approaches, we identified several regulators of the NOTCH1 gene in keratinocytes, with the transcription factors DLX5 and EGR3 and estrogen receptor β (ERβ) directly controlling its expression in differentiation. DLX5 and ERG3 are required for RNA polymerase II (PolII) recruitment to the NOTCH1 locus, while ERβ controls NOTCH1 transcription through RNA PolII pause release. Expression of several identified NOTCH1 regulators, including ERβ, is frequently compromised in skin, head and neck, and lung SCCs and SCC-derived cell lines. Furthermore, a keratinocyte ERβ–dependent program of gene expression is subverted in SCCs from various body sites, and there are consistent differences in mutation and gene-expression signatures of head and neck and lung SCCs in female versus male patients. Experimentally increased ERβ expression or treatment with ERβ agonists inhibited proliferation of SCC cells and promoted NOTCH1 expression and squamous differentiation both in vitro and in mouse xenotransplants. Our data identify a link between transcriptional control of NOTCH1 expression and the estrogen response in keratinocytes, with implications for differentiation therapy of squamous cancer. Find the latest version: https://jci.me/72718/pdf Research article Multifactorial ERβ and NOTCH1 control of squamous differentiation and cancer Yang Sui Brooks,1,2 Paola Ostano,3 Seung-Hee Jo,1,2 Jun Dai,1,2 Spiro Getsios,4 Piotr Dziunycz,5 Günther F.L. -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
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. -
Folate Receptor Β Regulates Integrin Cd11b/CD18 Adhesion of a Macrophage Subset to Collagen
Folate Receptor β Regulates Integrin CD11b/CD18 Adhesion of a Macrophage Subset to Collagen This information is current as Christian Machacek, Verena Supper, Vladimir Leksa, Goran of September 25, 2021. Mitulovic, Andreas Spittler, Karel Drbal, Miloslav Suchanek, Anna Ohradanova-Repic and Hannes Stockinger J Immunol 2016; 197:2229-2238; Prepublished online 17 August 2016; doi: 10.4049/jimmunol.1501878 Downloaded from http://www.jimmunol.org/content/197/6/2229 Supplementary http://www.jimmunol.org/content/suppl/2016/08/17/jimmunol.150187 Material 8.DCSupplemental http://www.jimmunol.org/ References This article cites 49 articles, 23 of which you can access for free at: http://www.jimmunol.org/content/197/6/2229.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision by guest on September 25, 2021 • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Folate Receptor b Regulates Integrin CD11b/CD18 Adhesion of a Macrophage Subset to Collagen Christian Machacek,* Verena Supper,* Vladimir Leksa,*,† Goran Mitulovic,‡ Andreas Spittler,x Karel Drbal,{,1 Miloslav Suchanek,{ Anna Ohradanova-Repic,* and Hannes Stockinger* Folate, also known as vitamin B9, is necessary for essential cellular functions such as DNA synthesis, repair, and methylation. -
Genetic Association with Overall Survival of Taxane-Treated Lung
Genetic association with overall survival of taxane-treated lung cancer patients - a genome-wide association study in human lymphoblastoid cell lines followed by a clinical association study The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Niu, Nifang et al. “Genetic Association with Overall Survival of Taxane-treated Lung Cancer Patients - a Genome-wide Association Study in Human Lymphoblastoid Cell Lines Followed by a Clinical Association Study.” BMC Cancer 12.1 (2012): 422. CrossRef. Web. As Published http://dx.doi.org/10.1186/1471-2407-12-422 Publisher BioMed Central Ltd. Version Final published version Citable link http://hdl.handle.net/1721.1/77191 Terms of Use Creative Commons Attribution Detailed Terms http://creativecommons.org/licenses/by/2.0 Genetic variations and paclitaxel response Supplementary Figure 1. Imputation analysis for 8 SNPs associated with both paclitaxel IC50 in LCLs and overall survival in lung cancer patients. SNPs within 200kb up-/downstream of those 8 SNPs were imputed. Black circles indicate SNPs observed by genotyping, while red triangles indicate imputed SNPs. The y-axis represents –log10(p-value) for the association of each SNP with paclitaxel IC50, and the x-axis represents the chromosomal locations of the SNPs. Genetic variations in paclitaxel response 1 Supplementary Table 1. Top 1415 SNPs that were associated with paclitaxel IC50 with p-values <10-3 and top 147 SNPs that were significantly associated with paclitaxel IC50 -
Synthetic Lethal Screen Demonstrates That a JAK2 Inhibitor Suppresses a BCL6 Dependent IL10RA/JAK2/STAT3 Pathway in High Grade B-Cell Lymphoma
BCL6 suppresses an IL10RA/JAK2/STAT3 pathway Synthetic lethal screen demonstrates that a JAK2 inhibitor suppresses a BCL6 dependent IL10RA/JAK2/STAT3 pathway in high grade B-cell lymphoma. Daniel Beck1,6, Jenny Zobel3,6, Ruth Barber1,2,6, Sian Evans1, Larissa Lezina1, Rebecca L. Allchin1, Matthew Blades4, Richard Elliott5, Christopher J. Lord5, Alan Ashworth5, Andrew C.G. Porter3, Simon D. Wagner1 1Department of Cancer Studies, Ernest and Helen Scott Haematology Research Institute and, 2 Leicester Diagnostic and Drug Development (LD3) Centre, University of Leicester, Lancaster Road, Leicester LE1 7HB, UK, 3Department of Haematology, Imperial College London, Hammersmith Campus, Du Cane Road, London W12 0NN, UK. 4Bioinformatics and Biostatistics Analysis Support Hub (B/BASH), University of Leicester, Lancaster Road, Leicester LE1 9HN and 5The Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK. 6The first three authors contributed equally to this work Running title: BCL6 suppresses an IL10RA/JAK2/STAT3 pathway. To whom correspondence should be addressed: Simon D. Wagner, Department of Cancer Studies, Room 104, Hodgkin Building, University of Leicester, Lancaster Road, Leicester LE1 7HB, UK. Tel: 0441162525584, Fax: 0441162525616, Email: [email protected] Keywords: cancer therapy, Janus kinase (JAK), lymphocyte, lymphoma, transcription factor, B-cell lymphoma 6 (BCL-6), synthetic lethal screen. ABSTRACT which shows higher levels of IL10RA, JAK2 and We demonstrate the usefulness of synthetic lethal STAT3 but lower levels of BCL6 than GC- screening of a conditionally BCL6 deficient DLBCL and might be usefully combined with Burkitt lymphoma cell line, DG75-AB7, with a novel approaches such as inhibition of IL10RA. -
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 Material
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Page 1 / 45 SUPPLEMENTARY MATERIAL Appendix A1: Neuropsychological protocol. Appendix A2: Description of the four cases at the transitional stage. Table A1: Clinical status and center proportion in each batch. Table A2: Complete output from EdgeR. Table A3: List of the putative target genes. Table A4: Complete output from DIANA-miRPath v.3. Table A5: Comparison of studies investigating miRNAs from brain samples. Figure A1: Stratified nested cross-validation. Figure A2: Expression heatmap of miRNA signature. Figure A3: Bootstrapped ROC AUC scores. Figure A4: ROC AUC scores with 100 different fold splits. Figure A5: Presymptomatic subjects probability scores. Figure A6: Heatmap of the level of enrichment in KEGG pathways. Kmetzsch V, et al. J Neurol Neurosurg Psychiatry 2021; 92:485–493. doi: 10.1136/jnnp-2020-324647 BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Appendix A1. Neuropsychological protocol The PREV-DEMALS cognitive evaluation included standardized neuropsychological tests to investigate all cognitive domains, and in particular frontal lobe functions. The scores were provided previously (Bertrand et al., 2018). Briefly, global cognitive efficiency was evaluated by means of Mini-Mental State Examination (MMSE) and Mattis Dementia Rating Scale (MDRS). Frontal executive functions were assessed with Frontal Assessment Battery (FAB), forward and backward digit spans, Trail Making Test part A and B (TMT-A and TMT-B), Wisconsin Card Sorting Test (WCST), and Symbol-Digit Modalities test. -
Systematic Identification of Cancer Cell Vulnerabilities to Natural Killer Cell
bioRxiv preprint doi: https://doi.org/10.1101/597567; this version posted April 2, 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. 1 2 Systematic identification of cancer cell vulnerabilities to natural killer 3 cell-mediated immune surveillance 4 5 Matthew F. Pech, Jacqueline E. Villalta, Leanne J.G. Chan, Samir Kharbanda, Jonathon J. 6 O’Brien, Fiona E. McAllister, Ari J. Firestone, Calvin H. Jan, Jeff Settleman# 7 8 Calico Life Sciences LLC, 1170 Veterans Boulevard, South San Francisco, CA, United States 9 #correspondence: [email protected] 10 1 bioRxiv preprint doi: https://doi.org/10.1101/597567; this version posted April 2, 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. 11 Abstract 12 13 Only a subset of patients respond to therapies that stimulate T-cell responses to cancer, 14 highlighting the need for alternative strategies to promote anti-cancer immunity. Here, we 15 performed genome-scale CRISPR-Cas9 screens in a human MHC-deficient leukemic cancer cell 16 line to systematically identify perturbations that enhance natural killer (NK) effector functions. 17 Our screens defined critical components of the tumor-immune synapse and highlighted the 18 importance of cancer cell interferon-g (IFNg) signaling in promoting NK activity. -
Role of Stromal Caveolin-1 (CAV1) Levels in Breast Cancer Angiogenesis
Universidad Autónoma de Madrid Programa de Doctorado en Biociencias Moleculares Role of stromal Caveolin-1 (CAV1) levels in breast cancer angiogenesis Alberto Díez Sánchez Madrid, 2018 0 1 Departamento de Bioquímica Facultad de Medicina Universidad Autónoma de Madrid Role of stromal Caveolin-1 (CAV1) levels in breast cancer angiogenesis Doctorando: Alberto Díez Sánchez, Licenciado en Biotecnología Director: Miguel Ángel del Pozo Barriuso, MD, PhD. Fundación Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC) Madrid, 2018 1 2 CERTIFICADO DEL DIRECTOR DE TESIS El doctor Miguel Ángel del Pozo Barriuso CERTIFICA que el doctorando Alberto Díez Sánchez ha desarrollado y concluido su trabajo de tesis doctoral “Role of stromal Caveolin-1 (CAV1) levels in breast cancer angiogenesis” bajo su supervisión, en el Centro Nacional de Investigaciones Cardiovasculares (CNIC). Y para que así conste lo firma en Madrid, a 10 de Julio de 2018, Fdo. Dr. Miguel Ángel del Pozo Barriuso Centro Nacional de Investigaciones Cardiovasculares (CNIC) 3 4 ACKNOWLEDGMENTS It is said that scientific knowledge is built on top of the shoulder of giants, in more practical terms, I consider all these people below my personal giants. First ones I encountered, were my parents and grandparents, everything I have achieved has been done on top of their previous efforts, to them I dedicate my most sincere gratitude for teaching this once lazy kid the value of effort. Next, I have to thank all those high-school teachers and university professors that during my education have been able to spark in me the sense of amazement derived from understanding how nature works.