Advanta IO Gene Expression Assay Reveal the Molecular Signatures of Tumor Immune Response
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The TNF and TNF Receptor Review Superfamilies: Integrating Mammalian Biology
Cell, Vol. 104, 487±501, February 23, 2001, Copyright 2001 by Cell Press The TNF and TNF Receptor Review Superfamilies: Integrating Mammalian Biology Richard M. Locksley,*²³k Nigel Killeen,²k The receptors and ligands in this superfamily have and Michael J. Lenardo§k unique structural attributes that couple them directly to *Department of Medicine signaling pathways for cell proliferation, survival, and ² Department of Microbiology and Immunology differentiation. Thus, they have assumed prominent ³ Howard Hughes Medical Institute roles in the generation of tissues and transient microen- University of California, San Francisco vironments. Most TNF/TNFR SFPs are expressed in the San Francisco, California 94143 immune system, where their rapid and potent signaling § Laboratory of Immunology capabilities are crucial in coordinating the proliferation National Institute of Allergy and Infectious Diseases and protective functions of pathogen-reactive cells. National Institutes of Health Here, we review the organization of the TNF/TNFR SF Bethesda, Maryland 20892 and how these proteins have been adapted for pro- cesses as seemingly disparate as host defense and or- ganogenesis. In interpreting this large and highly active Introduction area of research, we have focused on common themes that unite the actions of these genes in different tissues. Three decades ago, lymphotoxin (LT) and tumor necro- We also discuss the evolutionary success of this super- sis factor (TNF) were identified as products of lympho- familyÐsuccess that we infer from its expansion across cytes and macrophages that caused the lysis of certain the mammalian genome and from its many indispens- types of cells, especially tumor cells (Granger et al., able roles in mammalian biology. -
Tools for Cell Therapy and Immunoregulation
RnDSy-lu-2945 Tools for Cell Therapy and Immunoregulation Target Cell TIM-4 SLAM/CD150 BTNL8 PD-L2/B7-DC B7-H1/PD-L1 (Human) Unknown PD-1 B7-1/CD80 TIM-1 SLAM/CD150 Receptor TIM Family SLAM Family Butyrophilins B7/CD28 Families T Cell Multiple Co-Signaling Molecules Co-stimulatory Co-inhibitory Ig Superfamily Regulate T Cell Activation Target Cell T Cell Target Cell T Cell B7-1/CD80 B7-H1/PD-L1 T cell activation requires two signals: 1) recognition of the antigenic peptide/ B7-1/CD80 B7-2/CD86 CTLA-4 major histocompatibility complex (MHC) by the T cell receptor (TCR) and 2) CD28 antigen-independent co-stimulation induced by interactions between B7-2/CD86 B7-H1/PD-L1 B7-1/CD80 co-signaling molecules expressed on target cells, such as antigen-presenting PD-L2/B7-DC PD-1 ICOS cells (APCs), and their T cell-expressed receptors. Engagement of the TCR in B7-H2/ICOS L 2Ig B7-H3 (Mouse) the absence of this second co-stimulatory signal typically results in T cell B7-H1/PD-L1 B7/CD28 Families 4Ig B7-H3 (Human) anergy or apoptosis. In addition, T cell activation can be negatively regulated Unknown Receptors by co-inhibitory molecules present on APCs. Therefore, integration of the 2Ig B7-H3 Unknown B7-H4 (Mouse) Receptors signals transduced by co-stimulatory and co-inhibitory molecules following TCR B7-H5 4Ig B7-H3 engagement directs the outcome and magnitude of a T cell response Unknown Ligand (Human) B7-H5 including the enhancement or suppression of T cell proliferation, B7-H7 Unknown Receptor differentiation, and/or cytokine secretion. -
List of Genes Used in Cell Type Enrichment Analysis
List of genes used in cell type enrichment analysis Metagene Cell type Immunity ADAM28 Activated B cell Adaptive CD180 Activated B cell Adaptive CD79B Activated B cell Adaptive BLK Activated B cell Adaptive CD19 Activated B cell Adaptive MS4A1 Activated B cell Adaptive TNFRSF17 Activated B cell Adaptive IGHM Activated B cell Adaptive GNG7 Activated B cell Adaptive MICAL3 Activated B cell Adaptive SPIB Activated B cell Adaptive HLA-DOB Activated B cell Adaptive IGKC Activated B cell Adaptive PNOC Activated B cell Adaptive FCRL2 Activated B cell Adaptive BACH2 Activated B cell Adaptive CR2 Activated B cell Adaptive TCL1A Activated B cell Adaptive AKNA Activated B cell Adaptive ARHGAP25 Activated B cell Adaptive CCL21 Activated B cell Adaptive CD27 Activated B cell Adaptive CD38 Activated B cell Adaptive CLEC17A Activated B cell Adaptive CLEC9A Activated B cell Adaptive CLECL1 Activated B cell Adaptive AIM2 Activated CD4 T cell Adaptive BIRC3 Activated CD4 T cell Adaptive BRIP1 Activated CD4 T cell Adaptive CCL20 Activated CD4 T cell Adaptive CCL4 Activated CD4 T cell Adaptive CCL5 Activated CD4 T cell Adaptive CCNB1 Activated CD4 T cell Adaptive CCR7 Activated CD4 T cell Adaptive DUSP2 Activated CD4 T cell Adaptive ESCO2 Activated CD4 T cell Adaptive ETS1 Activated CD4 T cell Adaptive EXO1 Activated CD4 T cell Adaptive EXOC6 Activated CD4 T cell Adaptive IARS Activated CD4 T cell Adaptive ITK Activated CD4 T cell Adaptive KIF11 Activated CD4 T cell Adaptive KNTC1 Activated CD4 T cell Adaptive NUF2 Activated CD4 T cell Adaptive PRC1 Activated -
Supplemental Materials ZNF281 Enhances Cardiac Reprogramming
Supplemental Materials ZNF281 enhances cardiac reprogramming by modulating cardiac and inflammatory gene expression Huanyu Zhou, Maria Gabriela Morales, Hisayuki Hashimoto, Matthew E. Dickson, Kunhua Song, Wenduo Ye, Min S. Kim, Hanspeter Niederstrasser, Zhaoning Wang, Beibei Chen, Bruce A. Posner, Rhonda Bassel-Duby and Eric N. Olson Supplemental Table 1; related to Figure 1. Supplemental Table 2; related to Figure 1. Supplemental Table 3; related to the “quantitative mRNA measurement” in Materials and Methods section. Supplemental Table 4; related to the “ChIP-seq, gene ontology and pathway analysis” and “RNA-seq” and gene ontology analysis” in Materials and Methods section. Supplemental Figure S1; related to Figure 1. Supplemental Figure S2; related to Figure 2. Supplemental Figure S3; related to Figure 3. Supplemental Figure S4; related to Figure 4. Supplemental Figure S5; related to Figure 6. Supplemental Table S1. Genes included in human retroviral ORF cDNA library. Gene Gene Gene Gene Gene Gene Gene Gene Symbol Symbol Symbol Symbol Symbol Symbol Symbol Symbol AATF BMP8A CEBPE CTNNB1 ESR2 GDF3 HOXA5 IL17D ADIPOQ BRPF1 CEBPG CUX1 ESRRA GDF6 HOXA6 IL17F ADNP BRPF3 CERS1 CX3CL1 ETS1 GIN1 HOXA7 IL18 AEBP1 BUD31 CERS2 CXCL10 ETS2 GLIS3 HOXB1 IL19 AFF4 C17ORF77 CERS4 CXCL11 ETV3 GMEB1 HOXB13 IL1A AHR C1QTNF4 CFL2 CXCL12 ETV7 GPBP1 HOXB5 IL1B AIMP1 C21ORF66 CHIA CXCL13 FAM3B GPER HOXB6 IL1F3 ALS2CR8 CBFA2T2 CIR1 CXCL14 FAM3D GPI HOXB7 IL1F5 ALX1 CBFA2T3 CITED1 CXCL16 FASLG GREM1 HOXB9 IL1F6 ARGFX CBFB CITED2 CXCL3 FBLN1 GREM2 HOXC4 IL1F7 -
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, -
Supplementary Material
Supplementary Material Table S1: Significant downregulated KEGGs pathways identified by DAVID following exposure to five cinnamon- based phenylpropanoids (p < 0.05). p-value Term: Genes (Benjamini) Cytokine-cytokine receptor interaction: FASLG, TNFSF14, CXCL11, IL11, FLT3LG, CCL3L1, CCL3L3, CXCR6, XCR1, 2.43 × 105 RTEL1, CSF2RA, TNFRSF17, TNFRSF14, CCNL2, VEGFB, AMH, TNFRSF10B, INHBE, IFNB1, CCR3, VEGFA, CCR2, IL12A, CCL1, CCL3, CXCL5, TNFRSF25, CCR1, CSF1, CX3CL1, CCL7, CCL24, TNFRSF1B, IL12RB1, CCL21, FIGF, EPO, IL4, IL18R1, FLT1, TGFBR1, EDA2R, HGF, TNFSF8, KDR, LEP, GH2, CCL13, EPOR, XCL1, IFNA16, XCL2 Neuroactive ligand-receptor interaction: OPRM1, THRA, GRIK1, DRD2, GRIK2, TACR2, TACR1, GABRB1, LPAR4, 9.68 × 105 GRIK5, FPR1, PRSS1, GNRHR, FPR2, EDNRA, AGTR2, LTB4R, PRSS2, CNR1, S1PR4, CALCRL, TAAR5, GABRE, PTGER1, GABRG3, C5AR1, PTGER3, PTGER4, GABRA6, GABRA5, GRM1, PLG, LEP, CRHR1, GH2, GRM3, SSTR2, Chlorogenic acid Chlorogenic CHRM3, GRIA1, MC2R, P2RX2, TBXA2R, GHSR, HTR2C, TSHR, LHB, GLP1R, OPRD1 Hematopoietic cell lineage: IL4, CR1, CD8B, CSF1, FCER2, GYPA, ITGA2, IL11, GP9, FLT3LG, CD38, CD19, DNTT, 9.29 × 104 GP1BB, CD22, EPOR, CSF2RA, CD14, THPO, EPO, HLA-DRA, ITGA2B Cytokine-cytokine receptor interaction: IL6ST, IL21R, IL19, TNFSF15, CXCR3, IL15, CXCL11, TGFB1, IL11, FLT3LG, CXCL10, CCR10, XCR1, RTEL1, CSF2RA, IL21, CCNL2, VEGFB, CCR8, AMH, TNFRSF10C, IFNB1, PDGFRA, EDA, CXCL5, TNFRSF25, CSF1, IFNW1, CNTFR, CX3CL1, CCL5, TNFRSF4, CCL4, CCL27, CCL24, CCL25, CCL23, IFNA6, IFNA5, FIGF, EPO, AMHR2, IL2RA, FLT4, TGFBR2, EDA2R, -
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. -
Human CLEC4C / BDCA2 ELISA Kit (ARG82536)
Product datasheet [email protected] ARG82536 Package: 96 wells Human CLEC4C / BDCA2 ELISA Kit Store at: 4°C Component Cat. No. Component Name Package Temp ARG82536-001 Antibody-coated 8 X 12 strips 4°C. Unused strips microplate should be sealed tightly in the air-tight pouch. ARG82536-002 Standard 2 X 10 ng/vial 4°C ARG82536-003 Standard/Sample 30 ml (Ready to use) 4°C diluent ARG82536-004 Antibody conjugate 1 vial (100 µl) 4°C concentrate (100X) ARG82536-005 Antibody diluent 12 ml (Ready to use) 4°C buffer ARG82536-006 HRP-Streptavidin 1 vial (100 µl) 4°C concentrate (100X) ARG82536-007 HRP-Streptavidin 12 ml (Ready to use) 4°C diluent buffer ARG82536-008 25X Wash buffer 20 ml 4°C ARG82536-009 TMB substrate 10 ml (Ready to use) 4°C (Protect from light) ARG82536-010 STOP solution 10 ml (Ready to use) 4°C ARG82536-011 Plate sealer 4 strips Room temperature Summary Product Description ARG82536 Human CLEC4C / BDCA2 ELISA Kit is an Enzyme Immunoassay kit for the quantification of Human CLEC4C / BDCA2 in serum, plasma (EDTA, heparin, citrate) and cell culture supernatants. Tested Reactivity Hu Tested Application ELISA Target Name CLEC4C / BDCA2 Conjugation HRP Conjugation Note Substrate: TMB and read at 450 nm. Sensitivity 10 pg/ml Sample Type Serum, plasma (EDTA, heparin, citrate) and cell culture supernatants. Standard Range 15.6 - 1000 pg/ml Sample Volume 100 µl Precision Intra-Assay CV: 4.4% Inter-Assay CV: 6.7% www.arigobio.com 1/3 Alternate Names CD antigen CD303; BDCA-2; Blood dendritic cell antigen 2; Dendritic lectin; PRO34150; DLEC; C-type lectin domain family 4 member C; CLECSF7; CD303; CLECSF11; HECL; BDCA2; C-type lectin superfamily member 7 Application Instructions Assay Time ~ 5 hours Properties Form 96 well Storage instruction Store the kit at 2-8°C. -
Table SI. Characteristics of 9 Patients Chosen from 60 Patients with Hepatocellular Carcinoma
Table SI. Characteristics of 9 patients chosen from 60 patients with hepatocellular carcinoma. Characteristic No. of patients (%) Age, years <50 3 (33.3) ≥50 6 (66.7) Sex Female 4 (44.4) Male 5 (55.6) Albumin, g/l ≥35 8 (88.9) <35 1 (11.1) AFP, ng/ml ≤20 2 (22.2) >20 7 (77.8) Tumor diameter, cm ≤5 3 (33.3) >5 6 (66.7) Portal vein invasion Without 3 (33.3) With 6 (66.7) BCLC stage A 2 (22.2) B/C 7 (77.8) AFP, α-fetoprotein; BCLC, Barcelona Clinic Liver Cancer. Table SII. List of the gene symbol and relative expression of six significant clusters. Gene symbol SPOT Profile Day 0 Day 3 Day 7 Day 14 Day 21 ALCAM ID_10 16 0 -356.5 378.5 0.1 307.8 ANGPT2 ID_13 16 0 -45.7 197.2 96 60.2 CD80 ID_24 16 0 -177 362 -29 187 CTNNB1 ID_29 16 0 -58 294 83 49 BMP4 ID_37 16 0 -107 189 0 53 CCL28 ID_49 16 0 -307 856 491 347 CCR1 ID_50 16 0 -189 391 236 112 CCR4 ID_53 16 0 -101 361 89 240 CCR7 ID_56 16 0 -98 361 103 66 CLC ID_70 16 0 -147 274 0 188 CRIM1 ID_74 16 0 -642 229 -48 -112 CXCL14 ID_83 16 0 -434 1,154.00 778 376 CXCL16 ID_84 16 0 -128 800 477 180 DKK3 ID_97 16 0 -199 610 107 3 FGFBP1 ID_129 16 0 -224 484 -155 37 FGF20 ID_147 16 0 -113 264 -32 -4 WFIKKN1 ID_163 16 0 -195 544 262 41 GFRA1 ID_175 16 0 -536 443 29 280 GFRA4 ID_178 16 0 -211 208 -47 116 TNFSF18 ID_180 16 0 -14 246 89 68 GPC5 ID_187 16 0 -180 1,345.00 298 509 GH1 ID_194 16 0 -596 206 10 -9 CCHCR1 ID_198 16 0 -108 322 50 238 NRG1 ID_200 16 0 -81 378.5 170.5 187 ICAM1 ID_207 16 0 -136 98 -17 63 IFNB1 ID_213 16 0 -87 233 143 29 IGFBP3 ID_218 16 0 -1,311.00 609 -368 -178 IGFBP4 ID_219 16 0 -
Untwining Anti-Tumor and Immunosuppressive Effects of JAK Inhibitors—A Strategy for Hematological Malignancies?
cancers Review Untwining Anti-Tumor and Immunosuppressive Effects of JAK Inhibitors—A Strategy for Hematological Malignancies? Klara Klein 1, Dagmar Stoiber 2, Veronika Sexl 1 and Agnieszka Witalisz-Siepracka 1,2,* 1 Department of Biomedical Science, Institute of Pharmacology and Toxicology, University of Veterinary Medicine Vienna, 1210 Vienna, Austria; [email protected] (K.K.); [email protected] (V.S.) 2 Department of Pharmacology, Physiology and Microbiology, Division Pharmacology, Karl Landsteiner University of Health Sciences, 3500 Krems, Austria; [email protected] * Correspondence: [email protected] or [email protected] Simple Summary: The Janus kinase-signal transducer and activator of transcription (JAK-STAT) pathway is aberrantly activated in many malignancies. Inhibition of this pathway via JAK inhibitors (JAKinibs) is therefore an attractive therapeutic strategy underlined by Ruxolitinib (JAK1/2 inhibitor) being approved for the treatment of myeloproliferative neoplasms. As a consequence of the crucial role of the JAK-STAT pathway in the regulation of immune responses, inhibition of JAKs suppresses the immune system. This review article provides a thorough overview of the current knowledge on JAKinibs’ effects on immune cells in the context of hematological malignancies. We also discuss the potential use of JAKinibs for the treatment of diseases in which lymphocytes are the source of the malignancy. Citation: Klein, K.; Stoiber, D.; Sexl, Abstract: The Janus kinase-signal transducer and activator of transcription (JAK-STAT) pathway V.; Witalisz-Siepracka, A. Untwining propagates signals from a variety of cytokines, contributing to cellular responses in health and disease. Anti-Tumor and Immunosuppressive Gain of function mutations in JAKs or STATs are associated with malignancies, with JAK2V617F being Effects of JAK Inhibitors—A Strategy the main driver mutation in myeloproliferative neoplasms (MPN). -
Src Directly Tyrosine-Phosphorylates STAT5 on Its Activation Site and Is Involved in Erythropoietin-Induced Signaling Pathway
Oncogene (2001) 20, 6643 ± 6650 ã 2001 Nature Publishing Group All rights reserved 0950 ± 9232/01 $15.00 www.nature.com/onc Src directly tyrosine-phosphorylates STAT5 on its activation site and is involved in erythropoietin-induced signaling pathway Yuichi Okutani1, Akira Kitanaka1, Terukazu Tanaka*,2, Hiroshi Kamano6, Hiroaki Ohnishi3, Yoshitsugu Kubota4, Toshihiko Ishida1 and Jiro Takahara5 1First Department of Internal Medicine, Kagawa Medical University, Kagawa 761-0793, Japan; 2Environmental Health Sciences, Kagawa Medical University, Kagawa 761-0793, Japan; 3Laboratory Medicine, Kagawa Medical University, Kagawa 761-0793, Japan; 4Transfusion Medicine, Kagawa Medical University, Kagawa 761-0793, Japan; 5Kagawa Medical University, Kagawa 761- 0793, Japan; 6Health Science Center, Kagawa University, Kagawa 760-8521, Japan Signal transducers and activators of transcription Growth and dierentiation of hematopoietic cells are (STAT) proteins are transcription factors activated by regulated by the interaction of cell surface receptors phosphorylation on tyrosine residues after cytokine with their speci®c cytokines or growth factors. While stimulation. In erythropoietin receptor (EPOR)-mediated some of these receptors transmit signals via their signaling, STAT5 is tyrosine-phosphorylated by EPO intrinsic protein tyrosine kinase (PTK) activity, others stimulation. Although Janus Kinase 2 (JAK2) is reported use cytoplasmic non-receptor PTK for mediating to play a crucial role in EPO-induced activation of signals (van der Geer et al., 1994). The binding of STAT5, it is unclear whether JAK2 alone can tyrosine- erythropoietin (EPO) to an erythropoietin receptor phosphorylate STAT5 after EPO stimulation. Several (EPOR) which does not contain any intrinsic PTK studies indicate that STAT activation is caused by activity induces rapid and transient tyrosine phosphor- members of other families of protein tyrosine kinases ylation of intracellular proteins (Constantinescu et al., such as the Src family.