TY  - JOUR
A1  - Hof, H.
A1  - Emmerling, P.
A1  - Hacker, Jörg
A1  - Hughes, C.
T1  - The role of macrophages in primary and secondary infection of mice with Salmonella typhimurium
N2  - Elimination of macrophages with high-molecular dextran sulphate (OS) markedly impairs resistance of mice to primary infection with smooth, virulent strains of Salmonella typhimurium, whereas stimulation of this system by killed Bordetella pertussis organisms increases resistance. In infection with rough, avirulent strains of S. iyphimurium the elimination of macro phages was not followed by an essential loss of resistance, and it appears that other non-specific defence mechanisms, for example the complement system, may have compensated for the lack of macrophages. Macrophages, therefore, play an important role in defence during primary infection with virulent strains. In immunity to challenge infection with S. typhimurium, macrophages play an even more significant role. Treatment with OS completely removes immunity, and both humoral and cell-mediated immune mechanisms seem to require the participation of macrophages.
KW  - Macrophage
KW  - Salmonella typhimurium
KW  - Dextran sulphate
KW  - Mouse
KW  - 0 antigen
KW  - Bordeiella pertussis
Y1  - 1982
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-40248
ER  - 
TY  - THES
A1  - Friedrich, Torben
T1  - New statistical Methods of Genome-Scale Data Analysis in Life Science - Applications to enterobacterial Diagnostics, Meta-Analysis of Arabidopsis thaliana Gene Expression and functional Sequence Annotation
T1  - Neue statistische Methoden für genomweite Datenanalysen in den Biowissenschaften - Anwendungen in der Enterobakteriendiagnostik, Meta-Analyse von Arabidopsis thaliana Genexpression und funktionsbezogenen Sequenzannotation
N2  - Recent progresses and developments in molecular biology provide a wealth of new but insufficiently characterised data. This fund comprises amongst others biological data of genomic DNA, protein sequences, 3-dimensional protein structures as well as profiles of gene expression. In the present work, this information is used to develop new methods for the characterisation and classification of organisms and whole groups of organisms as well as to enhance the automated gain and transfer of information. The first two presented approaches (chapters 4 und 5) focus on the medically and scientifically important enterobacteria. Its impact in medicine and molecular biology is founded in versatile mechanisms of infection, their fundamental function as a commensal inhabitant of the intestinal tract and their use as model organisms as they are easy to cultivate. Despite many studies on single pathogroups with clinical distinguishable pathologies, the genotypic factors that contribute to their diversity are still partially unknown. The comprehensive genome comparison described in Chapter 4 was conducted with numerous enterobacterial strains, which cover nearly the whole range of clinically relevant diversity. The genome comparison constitutes the basis of a characterisation of the enterobacterial gene pool, of a reconstruction of evolutionary processes and of comprehensive analysis of specific protein families in enterobacterial subgroups. Correspondence analysis, which is applied for the first time in this context, yields qualitative statements to bacterial subgroups and the respective, exclusively present protein families. Specific protein families were identified for the three major subgroups of enterobacteria namely the genera Yersinia and Salmonella as well as to the group of Shigella and E. coli by applying statistical tests. In conclusion, the genome comparison-based methods provide new starting points to infer specific genotypic traits of bacterial groups from the transfer of functional annotation. Due to the high medical importance of enterobacterial isolates their classification according to pathogenicity has been in focus of many studies. The microarray technology offers a fast, reproducible and standardisable means of bacterial typing and has been proved in bacterial diagnostics, risk assessment and surveillance. The design of the diagnostic microarray of enterobacteria described in chapter 5 is based on the availability of numerous enterobacterial genome sequences. A novel probe selection strategy based on the highly efficient algorithm of string search, which considers both coding and non-coding regions of genomic DNA, enhances pathogroup detection. This principle reduces the risk of incorrect typing due to restrictions to virulence-associated capture probes. Additional capture probes extend the spectrum of applications of the microarray to simultaneous diagnostic or surveillance of antimicrobial resistance. Comprehensive test hybridisations largely confirm the reliability of the selected capture probes and its ability to robustly classify enterobacterial strains according to pathogenicity. Moreover, the tests constitute the basis of the training of a regression model for the classification of pathogroups and hybridised amounts of DNA. The regression model features a continuous learning capacity leading to an enhancement of the prediction accuracy in the process of its application. A fraction of the capture probes represents intergenic DNA and hence confirms the relevance of the underlying strategy. Interestingly, a large part of the capture probes represents poorly annotated genes suggesting the existence of yet unconsidered factors with importance to the formation of respective virulence phenotypes. Another major field of microarray applications is gene expression analysis. The size of gene expression databases rapidly increased in recent years. Although they provide a wealth of expression data, it remains challenging to integrate results from different studies. In chapter 6 the methodology of an unsupervised meta-analysis of genome-wide A. thaliana gene expression data sets is presented, which yields novel insights in function and regulation of genes. The application of kernel-based principal component analysis in combination with hierarchical clustering identified three major groups of contrasts each sharing overlapping expression profiles. Genes associated with two groups are known to play important roles in Indol-3 acetic acid (IAA) mediated plant growth and development as well as in pathogen defence. Yet uncharacterised serine-threonine kinases could be assigned to novel functions in pathogen defence by meta-analysis. In general, hidden interrelation between genes regulated under different conditions could be unravelled by the described approach. HMMs are applied to the functional characterisation of proteins or the detection of genes in genome sequences. Although HMMs are technically mature and widely applied in computational biology, I demonstrate the methodical optimisation with respect to the modelling accuracy on biological data with various distributions of sequence lengths. The subunits of these models, the states, are associated with a certain holding time being the link to length distributions of represented sequences. An adaptation of simple HMM topologies to bell-shaped length distributions described in chapter 7 was achieved by serial chain-linking of single states, while residing in the class of conventional HMMs. The impact of an optimisation of HMM topologies was underlined by performance evaluations with differently adjusted HMM topologies. In summary, a general methodology was introduced to improve the modelling behaviour of HMMs by topological optimisation with maximum likelihood and a fast and easily implementable moment estimator. Chapter 8 describes the application of HMMs to the prediction of interaction sites in protein domains. As previously demonstrated, these sites are not trivial to predict because of varying degree in conservation of their location and type within the domain family. The prediction of interaction sites in protein domains is achieved by a newly defined HMM topology, which incorporates both sequence and structure information. Posterior decoding is applied to the prediction of interaction sites providing additional information of the probability of an interaction for all sequence positions. The implementation of interaction profile HMMs (ipHMMs) is based on the well established profile HMMs and inherits its known efficiency and sensitivity. The large-scale prediction of interaction sites by ipHMMs explained protein dysfunctions caused by mutations that are associated to inheritable diseases like different types of cancer or muscular dystrophy. As already demonstrated by profile HMMs, the ipHMMs are suitable for large-scale applications. Overall, the HMM-based method enhances the prediction quality of interaction sites and improves the understanding of the molecular background of inheritable diseases. With respect to current and future requirements I provide large-scale solutions for the characterisation of biological data in this work. All described methods feature a highly portable character, which allows for the transfer to related topics or organisms, respectively. Special emphasis was put on the knowledge transfer facilitated by a steadily increasing wealth of biological information. The applied and developed statistical methods largely provide learning capacities and hence benefit from the gain of knowledge resulting in increased prediction accuracies and reliability.
N2  - Die aktuellen Fortschritte und Entwicklungen in der Molekularbiologie stellen eine Fülle neuer, bisher kaum analysierter Daten bereit. Dieser Fundus umfasst unter Anderem biologische Daten zu genomischer DNA, zu Proteinsequenzen, zu dreidimensionalen Proteinstrukturen sowie zu Genexpressionsprofilen. In der vorliegenden Arbeit werden diese Informationen genutzt, um neue Methoden der Charakterisierung und Klassifizierung von Organismen bzw. Organismengruppen zu entwickeln und einen automatisierten Informationsgewinn sowie eine Informationsübertragung zu ermöglichen. Die ersten beiden vorgestellten Ansätze (Kapitel 4 und 5) konzentrieren sich auf die medizinisch und wissenschaftlich bedeutsame Gruppe der Enterobakterien. Deren Bedeutung für Medizin und Mikrobiologie geht auf ihre Funktion als kommensale Bewohner des Darmtraktes, ihre Nutzung als leicht kultivierbare Modellorganismen und auf die vielseitigen Infektionsmechanismen zurück. Obwohl bereits viele Studien über einzelne Pathogruppen mit klinisch unterscheidbaren Symptomen existieren, sind die genotypischen Faktoren, die für diese Unterschiedlichkeit verantwortlich zeichnen, teilweise noch nicht bekannt. Der in Kapitel 4 beschriebene umfassende Genomvergleich wurde anhand einer Vielzahl von Enterobakterien durchgeführt, die nahezu die gesamte Bandbreite klinisch relevanter Diversität darstellen. Dieser Genomvergleich bildet die Basis für eine Charakterisierung des enterobakteriellen Genpools, für eine Rekonstruktion evolutionärer Prozesse und Einflüsse und für eine umfassende Untersuchung spezifischer Proteinfamilien in enterobakteriellen Untergruppen. Die in diesem Kontext vorher noch nicht angewandte Korrespondenzanalyse liefert qualitative Aussagen zu bakteriellen Untergruppen und den ausschließlich in ihnen vorkommenden Proteinfamilien. In drei Hauptuntergruppen der Enterobakterien, die den Gattungen Yersinia und Salmonella sowie der Gruppe aus Shigella und E. coli entsprechen, wurden die jeweils spezifischen Proteinfamilien mit Hilfe statistischer Tests identifiziert. Zusammenfassend bilden die auf Genomvergleichen aufbauenden Methoden neue Ansatzpunkte, um aus der Übertragung der bekannten Funktionalität einzelner Proteine auf spezifische, genotypische Besonderheiten bakterieller Gruppen zu schließen. Aufgrund ihrer hohen medizinischen Relevanz war die Typisierung enterobakterieller Isolate entsprechend ihrer Pathogenität Ziel zahlreicher Studien. Die Microarray-Technologie bietet ein schnelles, reproduzierbares und standardisierbares Hilfsmittel für bakterielle Typisierung und hat sich in der Bakteriendiagnostik, Risikobewertung und Überwachung bewährt. Das in Kapitel 5 beschriebene Design eines diagnostischen Microarray beruht auf einer großen Anzahl verfügbarer Genomsequenzen von Enterobakterien. Ein hocheffizienter String-Matching-Algorithmus ist die Grundlage einer neuartigen Strategie der Sondenauswahl, die sowohl kodierende als auch nicht-kodierende Bereiche genomischer DNA berücksichtigt. Im Vergleich zu Diagnostika, die ausschließlich auf Virulenz-assoziierten Sonden beruhen, verringert dieses Prinzip das Risiko einer inkorrekten Typisierung. Zusätzliche Sonden erweitern das Anwendungsspektrum auf eine simultane Diagnostik der Antibiotikaresistenz bzw. eine Überwachung der Resistenzausbreitung. Umfangreiche Testhybridisierungen belegen eine überwiegende Zuverlässigkeit der Sonden und vor allem eine robuste Klassifizierung enterobakterieller Stämme entsprechend der Pathogruppen. Die Tests bilden zudem die Grundlage für das Training eines Regressionsmodells zur Klassifizierung der Pathogruppe und zur Vorhersage der Menge hybridisierter DNA. Das Regressionsmodell zeichnet sich durch kontinuierliche Lernfähigkeit und damit durch eine Verbesserung der Vorhersagequalität im Prozess der Anwendung aus. Ein Teil der Sonden repräsentiert intergenische DNA und bestätigt infolgedessen die Relevanz der zugrunde liegenden Strategie. Die Tatsache, dass ein großer Teil der von den Sonden repräsentierten Gene noch nicht annotiert ist, legt die Existenz bisher unentdeckter Faktoren mit Bedeutung für die Ausbildung entsprechender Virulenz-Phänotypen nahe. Ein weiteres Haupteinsatzgebiet von Microarrays ist die Genexpressionsanalyse. Die Größe von Genexpressionsdatenbanken ist in den vergangenen Jahren stark gewachsen. Obwohl sie eine Fülle von Expressionsdaten bieten, sind Ergebnisse aus unterschiedlichen Studien weiterhin schwer in einen übergreifenden Zusammenhang zu bringen. In Kapitel 6 wird die Methodik einer ausschließlich datenbasierten Meta-Analyse für genomweite A. thaliana Genexpressionsdatensätze dargestellt, die neue Erkenntnisse über Funktion und Regulation von Genen verspricht. Die Anwendung von Kernel-basierter Hauptkomponentenanalyse in Kombination mit hierarchischem Clustering identifizierte drei Hauptgruppen von Kontrastexperimenten mit jeweils überlappenden Expressionsmustern. In zwei Gruppen konnten deregulierte Gene wichtigen Funktionen bei Indol-3-Essigsäure (IAA) vermitteltem Pflanzenwachstum und -entwicklung sowie pflanzlicher Pathogenabwehr zugeordnet werden. Bisher funktionell nicht näher charakterisierte Serin-Threonin-Kinasen wurden über die Meta-Analyse mit der Pathogenabwehr assoziiert. Grundsätzlich kann dieser Ansatz versteckte Wechselbeziehungen zwischen Genen aufdecken, die unter verschiedenen Bedingungen reguliert werden. Bei der funktionellen Charakterisierung von Proteinen oder der Vorhersage von Genen in Genomsequenzen werden Hidden-Markov-Modelle (HMMs) eingesetzt. HMMs sind technisch ausgereift und in der computergestützten Biologie vielfach eingesetzt worden. Trotzdem birgt die Methodik das Potential zur Optimierung bezüglich der Modellierung biologischer Daten, die hinsichtlich der Längenverteilung ihrer Sequenzen variieren. Untereinheiten dieser Modelle, die Zustände, repräsentieren über ihre individuelle Verweildauer zugrunde liegende Verteilungen von Sequenzlängen. Kapitel 7 stellt eine Methode zur Anpassung einfacher HMM-Topologien an biologische Daten, die glockenkurvenartige Längenverteilungen zeigen, vor. Die Modellierung solcher Verteilungen wird dabei durch eine serielle Verkettung vervielfältigter Zustände gewährleistet, ohne dass die Klasse herkömmlicher HMMs verlassen wird. Auswertungen der Modellierungsleistung bei unterschiedlich stark optimierten HMM-Topologien unterstreichen die Bedeutung der entwickelten Topologieoptimierung. Zusammenfassend wird hier eine generelle Methodik beschrieben, die die Modelleigenschaften von HMMs über Topologieoptimierungen verbessert. Die Parameter dieser Optimierung werden mit Hilfe von Maximum-Likelihood und einem leicht einzubindenden Momentschätzer bestimmt. In Kapitel 8 wird die Anwendung von HMMs zur Vorhersage von Interaktionsstellen in Proteindomänen beschrieben. Wie bereits gezeigt wurde, sind solche Stellen aufgrund einer variablen Konserviertheit ihrer Position und ihres Typs schwer zu bestimmen. Eine Vorhersage von Interaktionstellen in Proteindomänen wird über die Definition einer neuen HMM-Topologie erreicht, die sowohl Sequenz- als auch Strukturdaten einbindet. Interaktionsstellen werden mit einem Posterior-Decoding-Algorithmus vorhergesagt, der zusätzliche Informationen über die Wahrscheinlichkeit einer Interaktion für alle Sequenzpositionen bereitstellt. Die Implementierung der Interaktionsprofil-HMMs (ipHMMs) basiert auf den etablierten Profil-HMMs und erbt deren Effizienz und Sensitivität. Eine groß angelegte Vorhersage von Interaktionsstellen mit ipHMMs konnte mutationsbedingte Fehlfunktionen in Proteinen erklären, die mit vererbbaren Krankheiten wie unterschiedlichen Tumortypen oder Muskeldystrophie assoziiert sind. Wie Profile-HMMs sind auch ipHMMs für groß angelegte Anwendungen geeignet. Insgesamt verbessert die HMM-gestützte Methode sowohl die Vorhersagequalität für Interaktionsstellen als auch das Verständnis molekularer Hintergründe bei vererbbaren Krankheiten. Im Hinblick auf aktuelle und zukünftige Anforderungen stelle ich in dieser Arbeit Lösungsansätze für eine umfassende Charakterisierung großer Mengen biologischer Daten vor. Alle beschriebenen Methoden zeichnen sich durch gute Übertragbarkeit auf verwandte Probleme aus. Besonderes Augenmerk wurde dabei auf den Wissenstransfer gelegt, der durch einen stetig wachsenden Fundus biologischer Information ermöglicht wird. Die angewandten und entwickelten statistischen Methoden sind lernfähig und profitieren von diesem Wissenszuwachs, Vorhersagequalität und Zuverlässigkeit der Ergebnisse verbessern sich.
KW  - Genomik
KW  - Hidden-Markov-Modell
KW  - Enterobacteriaceae
KW  - Genexpression
KW  - Microarray
KW  - Sequenzanalyse
KW  - diagnostischer Microarray
KW  - Sequence Analysis
KW  - diagnostic Microarray
Y1  - 2009
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-39858
ER  - 
TY  - JOUR
A1  - Gillitzer, Reinhard
A1  - Berger, Rudolf
A1  - Moll, Heidrun
T1  - A reliable method for simultaneous demonstration of two antigens using a novel combination of immunogold-silver staining with immunoenzymatic labeling
N2  - We have developed a reliable and sensitive immunohistochemical staining technique which allows the simultaneous demonstration of two different antigens expressed in or on the same cell (referred to as mixed labeling), together with the evaluation of the general histopathological appearance of the tissue. The staining procedure combines a three-step (streptavidin-biotin) immunogold-silver staining (IGSS) with a three-step immunoenzymatic labeling. For this purpose, we investigated the compatibility ofIGSS with various substrates of peroxidase or alkaline phosphatase (AP). Highly reliable and discernible mixed labeling was achieved only after iniriallabeling with IGSS followed by AP labeling using the substrates naphthol AS-MX phosphate/Fast Blue or naphthol AS-HI phosphate/New Fuchsin, respectively. To ensure utmost specificity, we applied FlTC-conjugated mouse monoclonal antibodies and rabbit anti-FlTC immunoglobulins visualized by AP-labeled immunoglobulins and the respective substrate in a final step. This novel approach provides an excellent means for demonstration of immunocompetent cells and unequivocal determination of the percentage of specific cell subsets in infiltrated tissue. The advantages of this method, as compared with double immunofluorescence or double immunoenzymatic labeling, were investigated and are discussed. (J Histochem Cytochem 38:307-313, 1990)
KW  - Immunohistochemistry; Immunogold-silver staining; FITC- anti-FITC system; Leucocyte subpopulations; Two-color staining
Y1  - 1990
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-31092
ER  - 
TY  - JOUR
A1  - Emmrich, F.
A1  - Moll, Heidrun
A1  - Simon, Markus M.
T1  - Recombinant human interleukin 2 acts as a B cell growth and differentiation promoting factor
N2  - Human B cells appropriately activated by a B cell mitogen are rendered susceptible to human Interleukin 2 (IL-2) as demonstrated with recombinant human IL-2 (rec. h IL-2). They show increased proliferation and drastically enhanced immunoglobulin secretion. Susceptibility to IL-2 is accompanied with the expression of the IL-2 receptor (Tac antigen) on B cells. The data suggest that IL-2 is one of the lymphokines directly involved in the activation of B lymphocytes.
Y1  - 1985
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-34132
ER  - 
TY  - CHAP
A1  - Handman, E.
A1  - Mitchell, G. F.
A1  - McConville, M. J.
A1  - Moll, Heidrun
T1  - Towards a carbohydrate-based vaccine against leishmaniasis
N2  - No abstract available
Y1  - 1987
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-33827
ER  - 
TY  - JOUR
A1  - Moll, Heidrun
A1  - Emmrich, F.
A1  - Simon, Markus M.
T1  - Recombinant human interleukin 2 directly provides signals for the proliferation and functional maturation of murine B lymphocytes
N2  - In this study the effect of recombinant human interleukin 2 (rec.hIL-2) on the proliferation and maturation of B lymphocytes was investigated. It was found that the presence of rec.hIL 2 results in proliferation of mitogen (LPS)-activated B cell blasts. In addition, it is shown that highly enriched murine B cells can be induced by rec.hIL-2 to proliferate and to develop into antibody-secreting cells (PFC) in the presence of antigen (SRBC). When tested for its effect on B cell preparations enriched for resting (small) or activated (blasted) B lymphocytes, it was found that rec.hIL 2 provides signals for both B cell populations to develop into PFC. In contrast, induction of proliferation by the same lymphokine source was only seen in blasted B cells. The data indicate that IL 2 is involved in the generation of B effector cells by directly acting on their precursors thereby providing differentiation as well as proliferation signals.
Y1  - 1985
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-34090
ER  - 
TY  - JOUR
A1  - Simon, Markus M.
A1  - Moll, Heidrun
A1  - Prester, Marlot
A1  - Nerz, Gaby
A1  - Eichmann, Klaus
T1  - Immunoregulation by mouse T-cell clones. I. Suppression and amplification of cytotoxic responses by cloned H-Y-specific cytolytic T lymphocytes.
N2  - H-Y-specific and H-2Db-restricted, Lyt-1 "2+ T-cell clones (CTLL) with graded specific cytotoxic activities on male C57BL/6 (B6) target cells (1E3, +++; 2C5, ++; 2A5, +, 3E6, ±) were tested for their capacity to inhibit the generation of H-Y-specific cytotoxic T lymphocytes (CTL) in vitro. Addition of irradiated lymphocytes of CTLL 1E3 and CTLL 3E6 but not those of CTLL 2A5 or CTLL 2C5 abolished the generation of CTL from in vivo primed H-Y-specific precursor cells (CTLP) when added to fresh mixed-lymphocyte cultures (MLC). Exogenous sources of T-cell growth factors (TCGF) did not overcome suppression. Rather the presence of TCGF resulted in a further enhancement of suppressive activities in CTLL 1E3 and 3E6 and the induction of similar activities in cells from CTLL 2A5 and 2C5, which by themselves were not inhibitory. Moreover when added to similar MLC on Day 1 instead of Day 0, only irradiated cells of CTLL 3E6 but not those of the other three CTLL were suppressive. Induction of suppressive activities in H-Y-specific CTLL was independent of the appropriate male stimulator cells since it was also observed in MLC induced by irrelevant antigens (H-2, trinitrophenol). Furthermore at low cell numbers, irradiated lymphocytes from any of the CTLL consistently enhanced CTL activities generated from H-Y-specific CTLP. This augmenting activity, which was not TCGF, could be transferred by soluble mediators present in antigen-sensitized CTLL cultures. Thus, these data indicate (i) that cytotoxic effector cells can function as suppressor cells in the generation of CTL, (ii) that the cytotoxic activity of cloned CTL does not correlate with their capacity to suppress CTL responses, (iii) that the inhibition of CTL responses by CTLL is not due to simple consumption of T-cell growth factors produced in MLC, and (iv) that different CTL clones may interfere with the generation of CTL at different stages of their maturation. Moreover, the experiments suggest an antigen-independent enhancement of suppression by the interaction of CTL with lymphokines. Together with the augmenting activity evoked by cloned CTL the data provide strong evidence for the expression of multiple immunological functions by one particular subset of T cells and suggest that cytotoxic effector cells can differentially regulate the maturation and/or clonal expression of their precursor cells.
Y1  - 1984
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-30892
ER  - 
TY  - JOUR
A1  - Moll, Heidrun
A1  - Eichmann, K.
A1  - Simon, M. M.
T1  - Immunoregulation by mouse T-cell clones. II. The same H-Y-specific T helper clone can provide help for the generation of cytotoxic lymphocytes and of antibody-secreting cells.
N2  - Mouse H-Y-specific and I-Ab restricted T-cell clones have been established and compared for their helper effects in the differentiation ofboth T and B Iymphocytes. The results demonstrate that three individual T -cell clones and one subclone could help in the antigen-driven induction of cytotoxic Iymphocytes (CTL) from their precursor cells (CTL-P), and were able to activate B cells to develop into antibody-secreting cells (PFC) in the presence of SRBC, provided the cloned T cells were restimulated by H-Y antigen on antigen-presenting cells. In addition, antigen or lectin could induce the same H -Y -specific T -cell clones to secrete factor(s) expressing helper activities similar to that ofthe cloned T cells. Furthermore, it is shown that the T cell-derived soluble mediator(s) was distinct from T-cell growth factor (TCGF) and from immune interferon (lFN-y). The data reveal a new type ofT cell with helper potential for the activation ofCTL-P and B Iymphocytes, and suggest the existence of distinct T helper cells which can provide help for both cytotoxic and antibody responses by virtue of different Iymphokine activities.
Y1  - 1985
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-30903
ER  - 
TY  - JOUR
A1  - Frischholz., S.
A1  - Röllinghoff, M.
A1  - Moll, Heidrun
T1  - Cutaneous leishmaniasis: Co-ordinate expression of granzyme A and lymphokines by CD4\(^+\) T cells from susceptible mice.
JF  - Immunology
N2  - We have recently demonstrated that the frequency ofT cells expressing granzyme A is significantly higher in skin lesions and spleens of susceptible BALB/c mice compared with resistant C57BL/6 mice infected with Leishmania major, a cause of human cutaneous leishmaniasis. In the present study, we have performed in vitro studies to characterize the subpopulation, the antigen responsiveness and the lymphokine production pattern of granzyme A-expressing T cells in L. major-infected mice. Using a limiting dilution system for functional analysis of selected T cells at the clonallevel, we could show that granzyme A activity in infected BALB/c mice can be assigned to L. major-reactive CD4\(^+\) T cells secreting interleukin-2 (IL-2) and IL-4. Granzyme A production was most pronounced in the early phase of infection. On the other hand, granzyme A expression could not be detected in C57BL/6-derived T cells responding to L. major. The da ta support the suggestion that granzyme A is produced by L. major-responsive CD4\(^+\) T cells facilitating lesion formation and the dissemination of infection.
Y1  - 1994
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-30954
VL  - 82
SP  - 255
EP  - 260
ER  - 
TY  - CHAP
A1  - Moll, Heidrun
T1  - Experimental cutaneous leishmaniasis: Langerhans cells internalize Leishmania major and induce an antigen-specific T-cell response.
N2  - No abstract available
Y1  - 1993
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-30932
ER  -