TY - THES A1 - Yang, Shaoxian T1 - The role of NFAT proteins in Rag and Nfatc1a Gene Regulation in Murine Thymus T1 - Die Rolle von NFAT Proteinen in Rag und Nfatc1a Gen-Anordnung in Murine Thymus N2 - In this thesis we have investigated the effect of NFAT (Nuclear Factor of Activated T Cell) transcription factors on the expression of Rag-(Recombination Activating Genes) genes in murine thymus. The protein products of Rag genes, RAG1 and RAG2, are critical for the recombination and generation of the TCR (T Cell Receptor) repertoire during thymocyte development, and their expression can be suppressed by the activity of NFAT factors. In thymus, the expression of Rag1 and Rag2 genes is induced at the double-negative (DN, CD4-8-) 3 stage, down-regulated at the DN4 stage, re-induced at the double-positive (DP, CD4+8+) stage, and suppressed again at the single-positive (SP, CD4+8- or CD4-8+) stage. Although it is known that TCR signaling suppresses the expression of Rag1 and Rag2 at the SP stage, the signals that mediate the Rag gene down-reulation remain elusive. Here we report that both the calcineurin-NFAT-signaling and MAPKinase signaling pathways, which are activated by TCR signaling during positive selection, mediate the Rag gene down-regulation in DP thymocytes. The calcineurin-NFAT pathway suppresses both the Rag1 and the Rag2 gene expression. This pathway has a stronger suppressive effect on the Rag1 than the Rag2 gene. A synergistic activity between the two NFAT factors NFATc2 and NFATc3 is essential for calcineurin-NFAT signaling to efficiently suppress the Rag gene expression in DP thymocytes. It is likely that the calcineurin-NFAT signaling down-regulates Rag gene expression by suppressing both the Rag anti-silencer element (ASE) activity and the Rag promoter activity. Similarly, MEK-ERK signaling of MAPK signaling pathway mediates the Rag gene suppression in DP thymocytes although the mechanism through which MEK-ERK mediates the Rag gene down-regulation has to be elucidated. In DN thymocytes, it appears that neither the calcineurin-NFAT signaling nor MAPK signaling is involved in the Rag gene down-regulation. However, a role for these two signaling pathways in the Rag gene up-regulation in DN thymocytes is not excluded. In DN thymocytes, pre-TCR signaling stimulates the expression both Nfatc1 and Nfatc2 genes but has no effect on Nfatc3 gene expression. In DN thymocytes, pre-TCR signaling activates Nfatc1α expression but not Nfatc1ß expression, i.e. the two promoters controling Nfatc1 gene xpression are differently controled by pre-TCR signals. Nfatc1α gene expression in DN thymocytes is mainly regulated by the MAPK signaling pathway because activation of Nfatc1α is mediated by MEK-ERK signaling but opposed by JNK signaling. Calcineuirn-NFAT and p38 signaling pathways are not involved in Nfatc1α promoter regulation in DN thymocytes. In DP thymocytes, TCR signaling up-regulates Nfatc1 and Nfatc2 expression but down-regulates Nfatc3 expression. In DP thymocytes, TCR signaling activates Nfatc1α expression. The activation of Nfatc1α in DP thymocytes is mediated by NFATc1, but not or to a less degree by NFATc2 and NFATc3. MEK-ERK, JNK, and p38 signaling pathways are involved in Nfatc1α gene activation in DP thymocytes, probably by activating NFAT trans-activation activity. All these findings illustrate that in thymocytes the expression of NFAT transcription factors – which are essential for thymic development - is controled at multiple levels. N2 - Wir haben in den experimentellen Arbeiten zu dieser Dissertation den Effekt der NFAT (Nuclear Factor of Activated T Cell)-Transkriptionsfaktoren auf die Expression der Rag (Recombination Activating)-Gene im Thymus der Maus untersucht. Die Proteine der beiden Rag-Gene, RAG1 und RAG2, sind entscheidend für die Bildung des TCR (T Zell-Rezeptor)-Repertoires, und ihre Expression wird durch die NFATs supprimiert. Während der Thymozyten-Entwicklung wird die Expression der Rag1- und Rag2-Gene in DN (double negative, CD4-8-) 3-Thymozyten induziert, in DN4-Thymozyten „herunterreguliert“, re-induziert in DP (double positive, CD4+8+)-Thymozyten und supprimiert in SP (single positive, CD4+8- oder CD4-8+) Thymozyten. Obwohl bekannt ist, dass der TCR-Signalweg die Expression von Rag1 und Rag2 in SP-Thymozyten supprimiert, sind die daran beteiligten Signale weitgehend unbekannt. In der vorliegenden Arbeit wurde gezeigt, dass sowohl der Calcineurin-NFAT-Signalweg als auch der MAP Kinase-Signalweg die Rag-Gen- „Herunterregulierung“ in DP-Thymozyten vermitteln. Beide Wege werden über TCR-Signale während der positiven Selektion aktiviert. Der Calcineurin-NFAT-Signalweg supprimiert die Genexpression von Rag1 und Rag2, wobei Rag1 stärker betroffen ist. Dabei ist eine synergistische Aktiviät zwischen den beiden NFAT-Transkriptionsfaktoren NFATc2 und NFATc3 im Calcineurin-NFAT-Signalweg notwendig, um die Rag Genexpression in DP Thymozyten „herunterzuregulieren“. Der Calcineurin-NFAT-Signalweg reguliert offensichtlich die Rag-Genexpression durch eine Unterdrückung der Rag anti-silencer-element-(ASE)-Aktivität und der Rag-Promotoraktivität. Auch die MEK-ERK-Signalkaskade des MAPK-Signalwegs ist an der Suppression des Rag- Gens in DP Thymozyten beteiligt, wobei der Mechanismus zu untersuchen bleibt. In DN-Thymozyten hingegen scheinen weder der Calcineurin-NFAT-Signalweg noch der MAPK-Signalweg an der Hemmung der Rag-Genaktivität beteiligt zu sein. Eine Beteiligung dieser beiden Signalwege bei der Rag-Gen-Aktivierung in DN-Thymozyten kann hingegen nicht ausgeschlossen werden. In DN-Thymozyten regulieren Prä-TCR-Signale eine stärkere Expression der beiden NFAT-Faktoren Nfatc1 und Nfatc2, wohingegen Nfatc3 unbeeinflusst bleibt. In DN-Thymozyten aktivieren die Prä-TCR-Signale die Expression von Nfatc1α, aber nicht von Nfatc1ß. Die Nfatc1α Genexpression wird vermutlich hauptsächlich über den MAPK-Signalweg reguliert, da eine Aktivierung von Nfatc1α über MEK-ERK Signale vermittelt wird und JNK Signale gegensätzlich wirken. Der Calcineurin-NFAT- und der p38-Signalweg spielen keine Rolle bei der Regulation von Nfatc1α in DN-Thymozyten. In DP-Thymozyten erfolgt durch TCR-Signale eine Aktivierung der Nfatc1- und Nfatc2- sowie eine Represson der Nfatc3-Genexpression. In DP-Thymozyten aktivieren die TCR-Signale die Nfatc1α Expression. Die Aktivierung von Nfatc1α in DP Thymozyten wird über NFATc1 autoreguliert. NFATc2 und NFATc3 sind daran wenig oder gar nicht beteiligt. Hingegen sind MEK-ERK-, JNK- und p38-Signalwege bei der Nfatc1α−Genaktivierung in DP-Thymozyten - wahrscheinlich durch die Aktivierung der NFAT Transaktivierungsaktivität - beteiligt. All diese Daten zeigen, dass die NFAT-Transkriptonsfaktoren einer komplexen Regulation in Thymozyten unterzogen sind, deren Entwicklung sie andererseits – wie z.B. durch die Suppression der Rag-Gene – maßgeblich beeinflussen. KW - NFAT KW - rag KW - thymus KW - Gen-Anordnung KW - NFAT KW - rag KW - thymus KW - gene regulation Y1 - 2007 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-23691 ER - TY - JOUR A1 - Klein-Hessling, Stefan A1 - Muhammad, Khalid A1 - Klein, Matthias A1 - Pusch, Tobias A1 - Rudolf, Ronald A1 - Flöter, Jessica A1 - Qureischi, Musga A1 - Beilhack, Andreas A1 - Vaeth, Martin A1 - Kummerow, Carsten A1 - Backes, Christian A1 - Schoppmeyer, Rouven A1 - Hahn, Ulrike A1 - Hoth, Markus A1 - Bopp, Tobias A1 - Berberich-Siebelt, Friederike A1 - Patra, Amiya A1 - Avots, Andris A1 - Müller, Nora A1 - Schulze, Almut A1 - Serfling, Edgar T1 - NFATc1 controls the cytotoxicity of CD8\(^{+}\) T cells JF - Nature Communications N2 - Cytotoxic T lymphocytes are effector CD8\(^{+}\) T cells that eradicate infected and malignant cells. Here we show that the transcription factor NFATc1 controls the cytotoxicity of mouse cytotoxic T lymphocytes. Activation of Nfatc1\(^{-/-}\) cytotoxic T lymphocytes showed a defective cytoskeleton organization and recruitment of cytosolic organelles to immunological synapses. These cells have reduced cytotoxicity against tumor cells, and mice with NFATc1-deficient T cells are defective in controlling Listeria infection. Transcriptome analysis shows diminished RNA levels of numerous genes in Nfatc1\(^{-/-}\) CD8\(^{+}\) T cells, including Tbx21, Gzmb and genes encoding cytokines and chemokines, and genes controlling glycolysis. Nfatc1\(^{-/-}\), but not Nfatc2\(^{-/-}\) CD8\(^{+}\) T cells have an impaired metabolic switch to glycolysis, which can be restored by IL-2. Genome-wide ChIP-seq shows that NFATc1 binds many genes that control cytotoxic T lymphocyte activity. Together these data indicate that NFATc1 is an important regulator of cytotoxic T lymphocyte effector functions. KW - cytotoxic T cells KW - lymphocyte activation KW - signal transduction KW - gene regulation KW - immune cells KW - NFATc1 Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-170353 VL - 8 IS - 511 ER - TY - JOUR A1 - Kim, Mia A1 - Grimmig, Tanja A1 - Grimm, Martin A1 - Lazariotou, Maria A1 - Meier, Eva A1 - Rosenwald, Andreas A1 - Tsaur, Igor A1 - Blaheta, Roman A1 - Heemann, Uwe A1 - Germer, Christoph-Thomas A1 - Waaga-Gasser, Ana Maria A1 - Gasser, Martin T1 - Expression of Foxp3 in Colorectal Cancer but Not in Treg Cells Correlates with Disease Progression in Patients with Colorectal Cancer JF - PLoS ONE N2 - Background Measles virus (MV) causes T cell suppression by interference with phosphatidylinositol-3-kinase (PI3K) activation. We previously found that this interference affected the activity of splice regulatory proteins and a T cell inhibitory protein isoform was produced from an alternatively spliced pre-mRNA. Hypothesis Differentially regulated and alternatively splice variant transcripts accumulating in response to PI3K abrogation in T cells potentially encode proteins involved in T cell silencing. Methods To test this hypothesis at the cellular level, we performed a Human Exon 1.0 ST Array on RNAs isolated from T cells stimulated only or stimulated after PI3K inhibition. We developed a simple algorithm based on a splicing index to detect genes that undergo alternative splicing (AS) or are differentially regulated (RG) upon T cell suppression. Results Applying our algorithm to the data, 9% of the genes were assigned as AS, while only 3% were attributed to RG. Though there are overlaps, AS and RG genes differed with regard to functional regulation, and were found to be enriched in different functional groups. AS genes targeted extracellular matrix (ECM)-receptor interaction and focal adhesion pathways, while RG genes were mainly enriched in cytokine-receptor interaction and Jak-STAT. When combined, AS/RG dependent alterations targeted pathways essential for T cell receptor signaling, cytoskeletal dynamics and cell cycle entry. Conclusions PI3K abrogation interferes with key T cell activation processes through both differential expression and alternative splicing, which together actively contribute to T cell suppression. KW - T cells KW - gene regulation KW - alternative splicing KW - measles virus KW - T cell receptors KW - reverse transcriptase-polymerase chain reaction KW - TCR signaling cascade KW - cell cycle and cell division Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-130340 VL - 8 IS - 1 ER - TY - JOUR A1 - Loeffler-Wirth, Henry A1 - Kreuz, Markus A1 - Hopp, Lydia A1 - Arakelyan, Arsen A1 - Haake, Andrea A1 - Cogliatti, Sergio B. A1 - Feller, Alfred C. A1 - Hansmann, Martin-Leo A1 - Lenze, Dido A1 - Möller, Peter A1 - Müller-Hermelink, Hans Konrad A1 - Fortenbacher, Erik A1 - Willscher, Edith A1 - Ott, German A1 - Rosenwald, Andreas A1 - Pott, Christiane A1 - Schwaenen, Carsten A1 - Trautmann, Heiko A1 - Wessendorf, Swen A1 - Stein, Harald A1 - Szczepanowski, Monika A1 - Trümper, Lorenz A1 - Hummel, Michael A1 - Klapper, Wolfram A1 - Siebert, Reiner A1 - Loeffler, Markus A1 - Binder, Hans T1 - A modular transcriptome map of mature B cell lymphomas JF - Genome Medicine N2 - Background Germinal center-derived B cell lymphomas are tumors of the lymphoid tissues representing one of the most heterogeneous malignancies. Here we characterize the variety of transcriptomic phenotypes of this disease based on 873 biopsy specimens collected in the German Cancer Aid MMML (Molecular Mechanisms in Malignant Lymphoma) consortium. They include diffuse large B cell lymphoma (DLBCL), follicular lymphoma (FL), Burkitt’s lymphoma, mixed FL/DLBCL lymphomas, primary mediastinal large B cell lymphoma, multiple myeloma, IRF4-rearranged large cell lymphoma, MYC-negative Burkitt-like lymphoma with chr. 11q aberration and mantle cell lymphoma. Methods We apply self-organizing map (SOM) machine learning to microarray-derived expression data to generate a holistic view on the transcriptome landscape of lymphomas, to describe the multidimensional nature of gene regulation and to pursue a modular view on co-expression. Expression data were complemented by pathological, genetic and clinical characteristics. Results We present a transcriptome map of B cell lymphomas that allows visual comparison between the SOM portraits of different lymphoma strata and individual cases. It decomposes into one dozen modules of co-expressed genes related to different functional categories, to genetic defects and to the pathogenesis of lymphomas. On a molecular level, this disease rather forms a continuum of expression states than clearly separated phenotypes. We introduced the concept of combinatorial pattern types (PATs) that stratifies the lymphomas into nine PAT groups and, on a coarser level, into five prominent cancer hallmark types with proliferation, inflammation and stroma signatures. Inflammation signatures in combination with healthy B cell and tonsil characteristics associate with better overall survival rates, while proliferation in combination with inflammation and plasma cell characteristics worsens it. A phenotypic similarity tree is presented that reveals possible progression paths along the transcriptional dimensions. Our analysis provided a novel look on the transition range between FL and DLBCL, on DLBCL with poor prognosis showing expression patterns resembling that of Burkitt’s lymphoma and particularly on ‘double-hit’ MYC and BCL2 transformed lymphomas. Conclusions The transcriptome map provides a tool that aggregates, refines and visualizes the data collected in the MMML study and interprets them in the light of previous knowledge to provide orientation and support in current and future studies on lymphomas and on other cancer entities. KW - tumor heterogeneity KW - B cell malignancies KW - gene regulation KW - molecular subtypes KW - machine learning Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-237262 VL - 11 ER -