Interleukin-7 and Immunosenescence
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Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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 Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
IL-7 Receptor Blockade Blunts Antigen-Specific Memory T Cell
ARTICLE DOI: 10.1038/s41467-018-06804-y OPEN IL-7 receptor blockade blunts antigen-specific memory T cell responses and chronic inflammation in primates Lyssia Belarif1,2, Caroline Mary1,2, Lola Jacquemont1, Hoa Le Mai1, Richard Danger1, Jeremy Hervouet1, David Minault1, Virginie Thepenier1,2, Veronique Nerrière-Daguin1, Elisabeth Nguyen1, Sabrina Pengam1,2, Eric Largy3,4, Arnaud Delobel3, Bernard Martinet1, Stéphanie Le Bas-Bernardet1,5, Sophie Brouard1,5, Jean-Paul Soulillou1, Nicolas Degauque 1,5, Gilles Blancho1,5, Bernard Vanhove1,2 & Nicolas Poirier1,2 1234567890():,; Targeting the expansion of pathogenic memory immune cells is a promising therapeutic strategy to prevent chronic autoimmune attacks. Here we investigate the therapeutic efficacy and mechanism of new anti-human IL-7Rα monoclonal antibodies (mAb) in non-human primates and show that, depending on the target epitope, a single injection of antagonistic anti-IL-7Rα mAbs induces a long-term control of skin inflammation despite repeated antigen challenges in presensitized monkeys. No modification in T cell numbers, phenotype, function or metabolism is observed in the peripheral blood or in response to polyclonal stimulation ex vivo. However, long-term in vivo hyporesponsiveness is associated with a significant decrease in the frequency of antigen-specific T cells producing IFN-γ upon antigen resti- mulation ex vivo. These findings indicate that chronic antigen-specific memory T cell responses can be controlled by anti-IL-7Rα mAbs, promoting and maintaining remission in T- cell mediated chronic inflammatory diseases. 1 Centre de Recherche en Transplantation et Immunologie (CRTI) UMR1064, INSERM, Université de Nantes, Nantes 44093, France. 2 OSE Immunotherapeutics, Nantes 44200, France. -
PAX5 Expression in Acute Leukemias: Higher B-Lineage Specificity Than Cd79a and Selective Association with T(8;21)-Acute Myelogenous Leukemia
[CANCER RESEARCH 64, 7399–7404, October 15, 2004] PAX5 Expression in Acute Leukemias: Higher B-Lineage Specificity Than CD79a and Selective Association with t(8;21)-Acute Myelogenous Leukemia Enrico Tiacci,1 Stefano Pileri,2 Annette Orleth,1 Roberta Pacini,1 Alessia Tabarrini,1 Federica Frenguelli,1 Arcangelo Liso,3 Daniela Diverio,4 Francesco Lo-Coco,5 and Brunangelo Falini1 1Institutes of Hematology and Internal Medicine, University of Perugia, Perugia, Italy; 2Unit of Hematopathology, University of Bologne, Bologne, Italy; 3Section of Hematology, University of Foggia, Foggia, Italy; 4Department of Cellular Biotechnologies and Hematology, University La Sapienza of Rome, Rome, Italy; and 5Department of Biopathology, University Tor Vergata of Rome, Rome, Italy ABSTRACT (13, 16). PAX5 expression also occurs in the adult testis and in the mesencephalon and spinal cord during embryogenesis (17), suggesting an The transcription factor PAX5 plays a key role in the commitment of important role in the development of these tissues. hematopoietic precursors to the B-cell lineage, but its expression in acute Rearrangement of the PAX5 gene through reciprocal chromosomal leukemias has not been thoroughly investigated. Hereby, we analyzed routine biopsies from 360 acute leukemias of lymphoid (ALLs) and mye- translocations has been described in different types of B-cell malig- loid (AMLs) origin with a specific anti-PAX5 monoclonal antibody. Blasts nancies (18–23), and, more recently, PAX5 has also been shown to be from 150 B-cell ALLs showed strong PAX5 nuclear expression, paralleling targeted by aberrant hypermutation in Ͼ50% of diffuse large B-cell that of CD79a in the cytoplasm. Conversely, PAX5 was not detected in 50 lymphomas (24). -
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. -
CD226 T Cells Expressing the Receptors TIGIT and Divergent Phenotypes of Human Regulatory
The Journal of Immunology Divergent Phenotypes of Human Regulatory T Cells Expressing the Receptors TIGIT and CD226 Christopher A. Fuhrman,*,1 Wen-I Yeh,*,1 Howard R. Seay,* Priya Saikumar Lakshmi,* Gaurav Chopra,† Lin Zhang,* Daniel J. Perry,* Stephanie A. McClymont,† Mahesh Yadav,† Maria-Cecilia Lopez,‡ Henry V. Baker,‡ Ying Zhang,x Yizheng Li,{ Maryann Whitley,{ David von Schack,x Mark A. Atkinson,* Jeffrey A. Bluestone,‡ and Todd M. Brusko* Regulatory T cells (Tregs) play a central role in counteracting inflammation and autoimmunity. A more complete understanding of cellular heterogeneity and the potential for lineage plasticity in human Treg subsets may identify markers of disease pathogenesis and facilitate the development of optimized cellular therapeutics. To better elucidate human Treg subsets, we conducted direct transcriptional profiling of CD4+FOXP3+Helios+ thymic-derived Tregs and CD4+FOXP3+Helios2 T cells, followed by comparison with CD4+FOXP32Helios2 T conventional cells. These analyses revealed that the coinhibitory receptor T cell Ig and ITIM domain (TIGIT) was highly expressed on thymic-derived Tregs. TIGIT and the costimulatory factor CD226 bind the common ligand CD155. Thus, we analyzed the cellular distribution and suppressive activity of isolated subsets of CD4+CD25+CD127lo/2 T cells expressing CD226 and/or TIGIT. We observed TIGIT is highly expressed and upregulated on Tregs after activation and in vitro expansion, and is associated with lineage stability and suppressive capacity. Conversely, the CD226+TIGIT2 population was associated with reduced Treg purity and suppressive capacity after expansion, along with a marked increase in IL-10 and effector cytokine production. These studies provide additional markers to delineate functionally distinct Treg subsets that may help direct cellular therapies and provide important phenotypic markers for assessing the role of Tregs in health and disease. -
Single-Cell RNA Sequencing Demonstrates the Molecular and Cellular Reprogramming of Metastatic Lung Adenocarcinoma
ARTICLE https://doi.org/10.1038/s41467-020-16164-1 OPEN Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma Nayoung Kim 1,2,3,13, Hong Kwan Kim4,13, Kyungjong Lee 5,13, Yourae Hong 1,6, Jong Ho Cho4, Jung Won Choi7, Jung-Il Lee7, Yeon-Lim Suh8,BoMiKu9, Hye Hyeon Eum 1,2,3, Soyean Choi 1, Yoon-La Choi6,10,11, Je-Gun Joung1, Woong-Yang Park 1,2,6, Hyun Ae Jung12, Jong-Mu Sun12, Se-Hoon Lee12, ✉ ✉ Jin Seok Ahn12, Keunchil Park12, Myung-Ju Ahn 12 & Hae-Ock Lee 1,2,3,6 1234567890():,; Advanced metastatic cancer poses utmost clinical challenges and may present molecular and cellular features distinct from an early-stage cancer. Herein, we present single-cell tran- scriptome profiling of metastatic lung adenocarcinoma, the most prevalent histological lung cancer type diagnosed at stage IV in over 40% of all cases. From 208,506 cells populating the normal tissues or early to metastatic stage cancer in 44 patients, we identify a cancer cell subtype deviating from the normal differentiation trajectory and dominating the metastatic stage. In all stages, the stromal and immune cell dynamics reveal ontological and functional changes that create a pro-tumoral and immunosuppressive microenvironment. Normal resident myeloid cell populations are gradually replaced with monocyte-derived macrophages and dendritic cells, along with T-cell exhaustion. This extensive single-cell analysis enhances our understanding of molecular and cellular dynamics in metastatic lung cancer and reveals potential diagnostic and therapeutic targets in cancer-microenvironment interactions. 1 Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
CD Markers Are Routinely Used for the Immunophenotyping of Cells
ptglab.com 1 CD MARKER ANTIBODIES www.ptglab.com Introduction The cluster of differentiation (abbreviated as CD) is a protocol used for the identification and investigation of cell surface molecules. So-called CD markers are routinely used for the immunophenotyping of cells. Despite this use, they are not limited to roles in the immune system and perform a variety of roles in cell differentiation, adhesion, migration, blood clotting, gamete fertilization, amino acid transport and apoptosis, among many others. As such, Proteintech’s mini catalog featuring its antibodies targeting CD markers is applicable to a wide range of research disciplines. PRODUCT FOCUS PECAM1 Platelet endothelial cell adhesion of blood vessels – making up a large portion molecule-1 (PECAM1), also known as cluster of its intracellular junctions. PECAM-1 is also CD Number of differentiation 31 (CD31), is a member of present on the surface of hematopoietic the immunoglobulin gene superfamily of cell cells and immune cells including platelets, CD31 adhesion molecules. It is highly expressed monocytes, neutrophils, natural killer cells, on the surface of the endothelium – the thin megakaryocytes and some types of T-cell. Catalog Number layer of endothelial cells lining the interior 11256-1-AP Type Rabbit Polyclonal Applications ELISA, FC, IF, IHC, IP, WB 16 Publications Immunohistochemical of paraffin-embedded Figure 1: Immunofluorescence staining human hepatocirrhosis using PECAM1, CD31 of PECAM1 (11256-1-AP), Alexa 488 goat antibody (11265-1-AP) at a dilution of 1:50 anti-rabbit (green), and smooth muscle KD/KO Validated (40x objective). alpha-actin (red), courtesy of Nicola Smart. PECAM1: Customer Testimonial Nicola Smart, a cardiovascular researcher “As you can see [the immunostaining] is and a group leader at the University of extremely clean and specific [and] displays Oxford, has said of the PECAM1 antibody strong intercellular junction expression, (11265-1-AP) that it “worked beautifully as expected for a cell adhesion molecule.” on every occasion I’ve tried it.” Proteintech thanks Dr. -
Recent Advances in Diagnosis, Prognosis and Biology of Small B Cell Lymphomas
Turk J Hematol 2006; 23:173-181 REVIEW ARTICLE © Turkish Society of Hematology Recent advances in diagnosis, prognosis and biology of small B cell lymphomas Gülşah Kaygusuz, Işınsu Kuzu Department of Pathology, Ankara University, Faculty of Medicine, Ankara, Turkey [email protected] INTRODUCTION eral blood, bone marrow, and/or lymph nodes. Small B cell lymphomas are mature B cell lym- The term SLL is used for non-leukemic cases phoid neoplasms arising from the various differ- having the morphology and immunophenotype entiation stages of B cell development. Although of CLL. Many cases of CLL/SLL are thought to in the World Health Organization (WHO) classi- correspond to the recirculating naïve B cells. fication of lymphomas, they are described based Cases that show Ig gene variable region muta- on their morphology, phenotype and genetics, the tions may correspond to a subset of memory B differential diagnosis can be difficult because of cells [1]. some overlapping characteristics. Differences ob- served in the clinical outcome of cases represent- The nodal presentation of CLL/SLL is char- ing the same entity have also made it difficult to acterized by the diffuse infiltration of small lym- understand fully the biology of the small B cell phocytes admixed with prolymphocytes and lymphomas, but interpretation of the results of para-immunoblasts, giving rise to proliferation molecular profiling studies has helped patholo- centers or pseudofollicles. CLL/SLL cells are gists and clinicians in this regard. Some specific small lymphocytes with round nucleus, clumped genetic changes defined on the neoplastic B cells chromatin and scant cytoplasm. Nucleoli are have revealed the route of lymphomagenesis. -
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). -
Atpase, Na+/K+ Transporting, Alpha 3 Polypeptide Homologous to 3'UTR
HUGO ID Name Nalm-6 TOM-1 Reh Karpas-422 DoHH -2 SU-DHL-5 Namalwa DG-75 Ramos Raji BEL EHEB BONNA-12 L-428 DEL BCP-1 BC-3 BCBL-1 JSC-1 PEL-SY HBL-6 DS-1 RPMI-8226 NCI-H929 L-363 SK-MM-2 ATP1A3 ATPase, Na+/K+ transporting, alpha 3 polypeptide CD24 homologous to 3'UTR of human CD24 gene ABCC5 multidrug resistance-associated protein (MRP5) CD72 CD72 antigen TCL1A Tcell leukemia/lymphoma 1 ITGB2 Integrin, beta 2 (antigen CD18 (p95)) ? nuclear ribonucleoprotein particle (hnRNP) SGT1 suppressor of G2 allele of skp1 homolog DNMT 1 DNA (cytosine-5-)-methyltransferase 1 GALE UDP-Galactose 4 epimerase (GALE) HADHSC L-3-hydroxyacyl-CoA dehydrogenase LIG4 DNA ligase IV LIG1 Ligase I, DNA, ATP-dependent CEBPG CCAA T/enhancer binding protein (C/EBP), gamma DCK Deoxycytidine kinase TCEA1 TRANSCRIPTION ELONGATION FACTOR S-II TCN 1 TRANSCOBALAMIN I PRECURSOR POLA2 DNA polymerase alpha subunit CCNG2 cyclin G2 RNPC1 Finkel-Biskis-Reilly murine sarcoma virus; Human seb4D RNPC1 Finkel-Biskis-Reilly murine sarcoma virus; Human seb4D DGKD Diacylglycerol kinase delta KIAA0220 Polycystic kidney disease protein 1 KIAA0220 calcium-dependent group X phospholipase A2 KIAA0220 calcium-dependent group X phospholipase A2 ALDH5A1 NAD+-dependent succinate-semialdehyde dehydrogenase CCNG2 Polycystic kidney disease 1 (autosomal dominant) PDCD4 nuclear antigen H731-like protein SSH3BP1 eps8 binding protein e3B1 MAP4K2 B lymphocyte serine/threonine protein kinase (GC kinase) MAPRE2 novel T-cell activation protein ZNFN1A Ikaros/LyF-1 homolog (hIk-1) FLJ22624 clone 23799 KIAA0355 -
CD79A Polyclonal ANTIBODY
For Research Use Only CD79A Polyclonal ANTIBODY www.ptglab.com Catalog Number:22349-1-AP Basic Information Catalog Number: GenBank Accession Number: Recommended Dilutions: 22349-1-AP BC113733 WB 1:500-1:2000 Size: GeneID (NCBI): IHC 1:20-1:200 45 μg/150 μl 973 Source: Full Name: Rabbit CD79a molecule, immunoglobulin-associated Isotype: alpha IgG Calculated MW: Purification Method: 226aa,25 kDa Antigen affinity purification Observed MW: Immunogen Catalog Number: 38-42 kDa AG17924 Applications Tested Applications: Positive Controls: IHC, WB, ELISA WB : Daudi cells; Raji cells, Ramos cells Species Specificity: IHC : human tonsillitis tissue; human Note: suggested angen retrieval with TE buffer pH 9.0; (*) Alternavely, angen retrieval may be performed with citrate buffer pH 6.0 CD79A, also named as B-cell antigen receptor complex-associated protein alpha chain or MB-1 membrane glycoprotein, is a 226 amino acid protein, which Background Information contains one ITAM domain and one Ig-like C2-type (immunoglobulin-like) domain. CD79A is expressed in B cell and localizes in the cell membrane. CD79A is required in cooperation with CD79B for initiation of the signal transduction cascade activated by binding of antigen to the B-cell antigen receptor complex (BCR) which leads to internalization of the complex, trafficking to late endosomes and antigen presentation. CD79A is also required for BCR surface expression and for efficient differentiation of pro- and pre-B-cells. Notable Publications Author Pubmed ID Journal Application Storage: Storage Store at -20ºC. Stable for one year after shipment. Storage Buffer: PBS with 0.02% sodium azide and 50% glycerol pH 7.3.