Regulated Gene Expression and Overexpression of Methylation-Sensitive Genes Similar to Lupus Patients
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Costimulation of T-Cell Activation and Virus Production by B7 Antigen on Activated CD4+ T Cells from Human Immunodeficiency Virus Type 1-Infected Donors OMAR K
Proc. Natl. Acad. Sci. USA Vol. 90, pp. 11094-11098, December 1993 Immunology Costimulation of T-cell activation and virus production by B7 antigen on activated CD4+ T cells from human immunodeficiency virus type 1-infected donors OMAR K. HAFFAR, MOLLY D. SMITHGALL, JEFFREY BRADSHAW, BILL BRADY, NITIN K. DAMLE*, AND PETER S. LINSLEY Bristol-Myers Squibb Pharmaceutical Research Institute, Seattle, WA 98121 Communicated by Leon E. Rosenberg, August 3, 1993 (receivedfor review April 29, 1993) ABSTRACT Infection with the human immunodeficiency sequence (CTLA-4) (34), a protein structurally related to virus type 1 (HIV-1) requires T-cefl activation. Recent studies CD28 but only expressed on T cells after activation (12). have shown that interactions of the T-lymphocyte receptors CTLA-4 acts cooperatively with CD28 to bind B7 and deliver CD28 and CTLA-4 with their counter receptor, B7, on antigen- T-cell costimulatory signals (13). presenting cells are required for optimal T-cell activation. Here Because of the importance of the CD28/CTLA-4 and B7 we show that HIV-1 infection is associated with decreased interactions in immune responses, it is likely that these expression of CD28 and increased expression of B7 on CD4+ interactions are also important during HIV-1 infection. Stud- T-cell lines generated from seropositive donors by afloantigen ies with anti-CD28 monoclonal antibodies (mAbs) suggested stimulation. Loss of CD28 expression was not seen on CD4+ a role for CD28 in up-regulating HIV-1 long terminal repeat- T-ceU lines from seronegative donors, but up-regulation of B7 driven transcription of a reporter gene in leukemic cell lines expression was observed upon more prolonged culture. -
Histone Isoform H2A1H Promotes Attainment of Distinct Physiological
Bhattacharya et al. Epigenetics & Chromatin (2017) 10:48 DOI 10.1186/s13072-017-0155-z Epigenetics & Chromatin RESEARCH Open Access Histone isoform H2A1H promotes attainment of distinct physiological states by altering chromatin dynamics Saikat Bhattacharya1,4,6, Divya Reddy1,4, Vinod Jani5†, Nikhil Gadewal3†, Sanket Shah1,4, Raja Reddy2,4, Kakoli Bose2,4, Uddhavesh Sonavane5, Rajendra Joshi5 and Sanjay Gupta1,4* Abstract Background: The distinct functional efects of the replication-dependent histone H2A isoforms have been dem- onstrated; however, the mechanistic basis of the non-redundancy remains unclear. Here, we have investigated the specifc functional contribution of the histone H2A isoform H2A1H, which difers from another isoform H2A2A3 in the identity of only three amino acids. Results: H2A1H exhibits varied expression levels in diferent normal tissues and human cancer cell lines (H2A1C in humans). It also promotes cell proliferation in a context-dependent manner when exogenously overexpressed. To uncover the molecular basis of the non-redundancy, equilibrium unfolding of recombinant H2A1H-H2B dimer was performed. We found that the M51L alteration at the H2A–H2B dimer interface decreases the temperature of melting of H2A1H-H2B by ~ 3 °C as compared to the H2A2A3-H2B dimer. This diference in the dimer stability is also refected in the chromatin dynamics as H2A1H-containing nucleosomes are more stable owing to M51L and K99R substitu- tions. Molecular dynamic simulations suggest that these substitutions increase the number of hydrogen bonds and hydrophobic interactions of H2A1H, enabling it to form more stable nucleosomes. Conclusion: We show that the M51L and K99R substitutions, besides altering the stability of histone–histone and histone–DNA complexes, have the most prominent efect on cell proliferation, suggesting that the nucleosome sta- bility is intimately linked with the physiological efects observed. -
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. -
Papers J Clin Pathol: First Published As 10.1136/Jcp.49.7.539 on 1 July 1996
Clin Pathol 1996;49:539-544 539 Papers J Clin Pathol: first published as 10.1136/jcp.49.7.539 on 1 July 1996. Downloaded from Differential expression of T cell antigens in normal peripheral blood lymphocytes: a quantitative analysis by flow cytometry L Ginaldi, N Farahat, E Matutes, M De Martinis, R Morilla, D Catovsky Abstract diagnosis by comparison with findings in Aims-To obtain reference values of the normal counterparts. level of expression of T cell antigens on ( Clin Pathol 1996;49:539-544) normal lymphocyte subsets in order to disclose differences which could reflect Keywords: flow cytometry, T cell antigens, peripheral their function or maturation stages, or blood lymphocytes. both. Methods-Peripheral blood from 15 healthy donors was processed by flow The most common use of flow cytometry is to cytometry with triple colour analysis. For determine the percent of "positive" or "nega- each sample phycoerythrin (PE) conju- tive" cells for each antigen in different cell gated CD2, CD4, CD5, CD8, and CD56 populations. However, valuable information is monoclonal antibodies were combined lost when the relative intensities of the positive with Cy5-R-phycoerythrin (TC) conju- cells, reflecting antigenic densities, are not considered. A cell population with a well gated CD3 and fluorescein isothiocyanate http://jcp.bmj.com/ (FITC) conjugated CD7; CD2- and defined phenotype, positive for one antigen, CD7-PE were also combined with might be heterogeneous with regard to its level CD3-TC and CD4-FITC. Standard mi- of expression. This may reflect different crobeads with different capacities to bind functional or maturational states, or both, or mouse immunoglobulins were used to identify subpopulations on the basis of the dif- convert the mean fluorescence intensity ferent numbers of molecules of antigen per cell. -
Differences for Ectopic Versus Eutopic Cells
556 RBMO VOLUME 39 ISSUE 4 2019 ARTICLE Chemosensitivity and chemoresistance in endometriosis – differences for ectopic versus eutopic cells BIOGRAPHY Andres Salumets is Professor of Reproductive Medicine at the University of Tartu, and Scientific Head at the Competence Centre on Health Technologies, Tartu, Estonia. He has been involved in assisted reproduction for 20 years, first as an embryologist and later as a researcher. His major interests are endometriosis, endometrial biology and implantation. Darja Lavogina1,2,*, Külli Samuel1, Arina Lavrits1,3, Alvin Meltsov1, Deniss Sõritsa1,4,5, Ülle Kadastik6, Maire Peters1,4, Ago Rinken2, Andres Salumets1,4,7, 8 KEY MESSAGE Akt/PKB inhibitor GSK690693, CK2 inhibitor ARC-775, MAPK pathway inhibitor sorafenib, proteasome inhibitor bortezomib, and microtubule-depolymerizing toxin MMAE showed higher cytotoxicity in eutopic cells. In contrast, 10 µmol/l of the anthracycline toxin doxorubicin caused cellular death in ectopic cells more effectively than in eutopic cells, underlining the potential of doxorubicin in endometriosis research. ABSTRACT Research question: Endometriosis is a common gynaecological disease defined by the presence of endometrium-like tissue outside the uterus. This complex disease, often accompanied by severe pain and infertility, causes a significant medical and socioeconomic burden; hence, novel strategies are being sought for the treatment of endometriosis. Here, we set out to explore the cytotoxic effects of a panel of compounds to find toxins with different efficiency in eutopic versus ectopic cells, thus highlighting alterations in the corresponding molecular pathways. Design: The effect on cellular viability of 14 compounds was established in a cohort of paired eutopic and ectopic endometrial stromal cell samples from 11 patients. -
CD18) in a Patient with Leukocyte Adhesion Molecule (Leu-CAM) Deficiency
Point mutations impairing cell surface expression of the common beta subunit (CD18) in a patient with leukocyte adhesion molecule (Leu-CAM) deficiency. M A Arnaout, … , D G Tenen, D M Fathallah J Clin Invest. 1990;85(3):977-981. https://doi.org/10.1172/JCI114529. Research Article The leukocyte adhesion molecules CD11a/CD18, CD11b/CD18, and CD11c/CD18 (Leu-CAM) are members of the integrin receptor family and mediate crucial adhesion-dependent functions in leukocytes. The molecular basis for their deficient cell surface expression was sought in a patient suffering from severe and recurrent bacterial infections. Previous studies revealed that impaired cell surface expression of Leu-CAM is secondary to heterogeneous structural defects in the common beta subunit (CD18). Cloning and sequencing of complementary DNA encoding for CD18 in this patient revealed two mutant alleles, each representing a point mutation in the coding region of CD18 and resulting in an amino acid substitution. Each mutant allele results in impaired CD18 expression on the cell surface membrane of transfected COS M6 cells. One substitution involves an arginine residue (Arg593----cysteine) that is conserved in the highly homologous fourth cysteine-rich repeats of other mammalian integrin subfamilies. The other substitution involves a lysine residue (Lys196----threonine) located within another highly conserved region in integrins. These data identify crucial residues and regions necessary for normal cell surface expression of CD18 and possibly other integrin beta subunits and define a molecular basis for impaired cell surface expression of CD18 in this patient. Find the latest version: https://jci.me/114529/pdf Rapid Publication Point Mutations Impairing Cell Surface Expression of the Common ,B Subunit (CD18) in a Patient with Leukocyte Adhesion Molecule (Leu-CAM) Deficiency M. -
Reconstructing Cell Cycle Pseudo Time-Series Via Single-Cell Transcriptome Data—Supplement
School of Natural Sciences and Mathematics Reconstructing Cell Cycle Pseudo Time-Series Via Single-Cell Transcriptome Data—Supplement UT Dallas Author(s): Michael Q. Zhang Rights: CC BY 4.0 (Attribution) ©2017 The Authors Citation: Liu, Zehua, Huazhe Lou, Kaikun Xie, Hao Wang, et al. 2017. "Reconstructing cell cycle pseudo time-series via single-cell transcriptome data." Nature Communications 8, doi:10.1038/s41467-017-00039-z This document is being made freely available by the Eugene McDermott Library of the University of Texas at Dallas with permission of the copyright owner. All rights are reserved under United States copyright law unless specified otherwise. File name: Supplementary Information Description: Supplementary figures, supplementary tables, supplementary notes, supplementary methods and supplementary references. CCNE1 CCNE1 CCNE1 CCNE1 36 40 32 34 32 35 30 32 28 30 30 28 28 26 24 25 Normalized Expression Normalized Expression Normalized Expression Normalized Expression 26 G1 S G2/M G1 S G2/M G1 S G2/M G1 S G2/M Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage CCNE1 CCNE1 CCNE1 CCNE1 40 32 40 40 35 30 38 30 30 28 36 25 26 20 20 34 Normalized Expression Normalized Expression Normalized Expression 24 Normalized Expression G1 S G2/M G1 S G2/M G1 S G2/M G1 S G2/M Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage Cell Cycle Stage Supplementary Figure 1 | High stochasticity of single-cell gene expression means, as demonstrated by relative expression levels of gene Ccne1 using the mESC-SMARTer data. For every panel, 20 sample cells were randomly selected for each of the three stages, followed by plotting the mean expression levels at each stage. -
(12) United States Patent (10) Patent No.: US 7,799,528 B2 Civin Et Al
US007799528B2 (12) United States Patent (10) Patent No.: US 7,799,528 B2 Civin et al. (45) Date of Patent: Sep. 21, 2010 (54) THERAPEUTIC AND DIAGNOSTIC Al-Hajj et al., “Prospective identification of tumorigenic breast can APPLICATIONS OF GENES cer cells.” Proc. Natl. Acad. Sci. U.S.A., 100(7):3983-3988 (2003). DIFFERENTIALLY EXPRESSED IN Bhatia et al., “A newly discovered class of human hematopoietic cells LYMPHO-HEMATOPOETC STEM CELLS with SCID-repopulating activity.” Nat. Med. 4(9)1038-45 (1998). (75) Inventors: Curt I. Civin, Baltimore, MD (US); Bonnet, D., “Normal and leukemic CD35-negative human Robert W. Georgantas, III, Towson, hematopoletic stem cells.” Rev. Clin. Exp. Hematol. 5:42-61 (2001). Cambot et al., “Human Immune Associated Nucleotide 1: a member MD (US) of a new guanosine triphosphatase family expressed in resting T and (73) Assignee: The Johns Hopkins University, B cells.” Blood, 99(9):3293-3301 (2002). Baltimore, MD (US) Chen et al., “Kruppel-like Factor 4 (Gut-enriched Kruppel-like Fac tor) Inhibits Cell Proliferation by Blocking G1/S Progression of the *) NotOt1Ce: Subjubject to anyy d1Sclaimer,disclai theh term off thisthi Cell Cycle.” J. Biol. Chem., 276(32):30423-30428 (2001). patent is extended or adjusted under 35 Chen et al., “Transcriptional profiling of Kurppel-like factor 4 reveals U.S.C. 154(b) by 168 days. a function in cell cycle regulation and epithelial differentiation.” J. Mol. Biol. 326(3):665-677 (2003). (21) Appl. No.: 11/199.665 Civin et al., “Highly purified CD34-positive cells reconstitute (22) Filed: Aug. 9, 2005 hematopoiesis,” J. -
Pharmacological Unmasking Microarray Approach-Based Discovery of Novel DNA Methylation Markers for Hepatocellular Carcinoma
ORIGINAL ARTICLE Oncology & Hematology http://dx.doi.org/10.3346/jkms.2012.27.6.594 • J Korean Med Sci 2012; 27: 594-604 Pharmacological Unmasking Microarray Approach-Based Discovery of Novel DNA Methylation Markers for Hepatocellular Carcinoma Namhee Jung1, Jae Kyung Won2, DNA methylation is one of the main epigenetic mechanisms and hypermethylation of CpG Baek-Hui Kim3, Kyung Suk Suh4, islands at tumor suppressor genes switches off these genes. To find novel DNA methylation Ja-June Jang2, and Gyeong Hoon Kang1,2 markers in hepatocellular carcinoma (HCC), we performed pharmacological unmasking (treatment with 5-aza-2´-deoxycytidine or trichostatin A) followed by microarray analysis 1Laboratory of Epigenetics, Cancer Research Institute, 2Departments of Pathology, 3General in HCC cell lines. Of the 239 promoter CpG island loci hypermethylated in HCC cell lines Surgery, Seoul National University College of (as revealed by methylation-specific PCR), 221 loci were found to be hypermethylated in Medicine, Seoul; 4Department of Pathology, Korea HCC or nonneoplastic liver tissues. Thirty-three loci showed a 20% higher methylation University School of Medicine, Seoul, Korea frequency in tumors than in adjacent nonneoplastic tissues. Correlation of individual Received: 21 November 2011 cancer-related methylation markers with clinicopathological features of HCC patients Accepted: 23 February 2012 (n = 95) revealed that the number of hypermethylated genes in HCC tumors was higher in older than in younger patients. Univariate and multivariate survival analysis revealed that Address for Correspondence: the HIST1H2AE methylation status is closely correlated with the patient’s overall survival Gyeong Hoon Kang, MD Department of Pathology, Seoul National University College of (P = 0.022 and P = 0.010, respectively). -
The Immunological Synapse and CD28-CD80 Interactions Shannon K
© 2001 Nature Publishing Group http://immunol.nature.com ARTICLES The immunological synapse and CD28-CD80 interactions Shannon K. Bromley1,Andrea Iaboni2, Simon J. Davis2,Adrian Whitty3, Jonathan M. Green4, Andrey S. Shaw1,ArthurWeiss5 and Michael L. Dustin5,6 Published online: 19 November 2001, DOI: 10.1038/ni737 According to the two-signal model of T cell activation, costimulatory molecules augment T cell receptor (TCR) signaling, whereas adhesion molecules enhance TCR–MHC-peptide recognition.The structure and binding properties of CD28 imply that it may perform both functions, blurring the distinction between adhesion and costimulatory molecules. Our results show that CD28 on naïve T cells does not support adhesion and has little or no capacity for directly enhancing TCR–MHC- peptide interactions. Instead of being dependent on costimulatory signaling, we propose that a key function of the immunological synapse is to generate a cellular microenvironment that favors the interactions of potent secondary signaling molecules, such as CD28. The T cell receptor (TCR) interaction with complexes of peptide and as CD2 and CD48, which suggests that CD28 might have a dual role as major histocompatibility complex (pMHC) is central to the T cell an adhesion and a signaling molecule4. Coengagement of CD28 with response. However, efficient T cell activation also requires the partici- the TCR has a number of effects on T cell activation; these include pation of additional cell-surface receptors that engage nonpolymorphic increasing sensitivity to TCR stimulation and increasing the survival of ligands on antigen-presenting cells (APCs). Some of these molecules T cells after stimulation5. CD80-transfected APCs have been used to are involved in the “physical embrace” between T cells and APCs and assess the temporal relationship of TCR and CD28 signaling, as initiat- are characterized as adhesion molecules. -
A Yeast Phenomic Model for the Influence of Warburg Metabolism on Genetic Buffering of Doxorubicin Sean M
Santos and Hartman Cancer & Metabolism (2019) 7:9 https://doi.org/10.1186/s40170-019-0201-3 RESEARCH Open Access A yeast phenomic model for the influence of Warburg metabolism on genetic buffering of doxorubicin Sean M. Santos and John L. Hartman IV* Abstract Background: The influence of the Warburg phenomenon on chemotherapy response is unknown. Saccharomyces cerevisiae mimics the Warburg effect, repressing respiration in the presence of adequate glucose. Yeast phenomic experiments were conducted to assess potential influences of Warburg metabolism on gene-drug interaction underlying the cellular response to doxorubicin. Homologous genes from yeast phenomic and cancer pharmacogenomics data were analyzed to infer evolutionary conservation of gene-drug interaction and predict therapeutic relevance. Methods: Cell proliferation phenotypes (CPPs) of the yeast gene knockout/knockdown library were measured by quantitative high-throughput cell array phenotyping (Q-HTCP), treating with escalating doxorubicin concentrations under conditions of respiratory or glycolytic metabolism. Doxorubicin-gene interaction was quantified by departure of CPPs observed for the doxorubicin-treated mutant strain from that expected based on an interaction model. Recursive expectation-maximization clustering (REMc) and Gene Ontology (GO)-based analyses of interactions identified functional biological modules that differentially buffer or promote doxorubicin cytotoxicity with respect to Warburg metabolism. Yeast phenomic and cancer pharmacogenomics data were integrated to predict differential gene expression causally influencing doxorubicin anti-tumor efficacy. Results: Yeast compromised for genes functioning in chromatin organization, and several other cellular processes are more resistant to doxorubicin under glycolytic conditions. Thus, the Warburg transition appears to alleviate requirements for cellular functions that buffer doxorubicin cytotoxicity in a respiratory context. -
(12) United States Patent (405
USOO6291239B1 (12) United States Patent (10) Patent No.: US 6,291,239 B1 Prodinger et al. (45) Date of Patent: Sep. 18, 2001 (54) MONOCLONAL ANTIBODY Recess Formed Between SCR1 and SCR 2 of Complement Receptor Type Two', Prodinger. (76) Inventors: Wolfgang Prodinger, Kirschentalgasse Immunopharmacology, vol. 38, No. 1-2, Dec., 1997, pp. 16, A-6020 Innsbruck; Michael 141-148, XP002089604, “Expression in Insect Cells of the Schwendinger, Semmelweisgasse 4, Functional Domain of CD21 (Complement Receptor Type A-7100 Neusiedl/See, both of (AT) Two) as a Truncated... ", Prodinger. Journal of Immunology, vol. 156, No. 7 Apr. 1, 1996, pp. (*) Notice: Subject to any disclaimer, the term of this 2580–2584, XP002089605, “Ligation of the Functional patent is extended or adjusted under 35 Domain of Complement Receptor Type 2 (CR2, CD21) is U.S.C. 154(b) by 0 days. Relevant for Complex . , Prodinger. Journal of Immunology, vol. 154, No. 10, May 15, 1995, pp. (21) Appl. No.: 09/276,296 5426–5435, XP002089606, “Characterization of a Comple (22) Filed: Mar. 25, 1999 ment Receptor 2 (CR2, CD21) Ligand Binding Site for C3”, H. Molina et al. (51) Int. Cl. ............................... C12N 5/06; C12O 1/70; Journal of Immunology, vol. 161, Nov. 1, 1998, pp. G01N 33/53; CO7K 16/00; A61K 39/395 4604–4610, XP002089607, “Characterization of C3dg Binding to a Recess Formed Between Short Consensus (52) U.S. Cl. ............................ 435/339.1; 435/5; 435/7.1; Repeats 1 and 2 ... ', Prodinger. 435/334; 530/388.1; 530/388.35; 424/141.1; 424/143.1; 424/159.1 Primary Examiner Hankyel T.