Die rheumatoide Arthritis (RA) ist eine chronisch-entzündliche Bindegewebserkrankung mit bevorzugtem Befall der Gelenke. Es bestimmen Knorpel- und Knochendestruktionen das Krankheitsbild. Eine Schlüsselrolle in der Pathogenese nehmen proliferierende, synoviale Fibroblasten (RASF) durch Auflösung der extrazellulären Matrix (EZM), durch Interaktion mit immunkompetenten Zellen und durch Produktion pro-inflammatorischer Zytokine ein. Die vorliegende Arbeit zeigt die Migrationseigenschaften von RASF und zwei verschiedenen murinen (LS48) und humanen (TK188) Fibroblastenzelllinien in einem In-vitro-Migrationsassay. Es wird der Einfluss von Antikörpern sowie verschiedener EZM-Komponenten auf die Migration der Zelllinien untersucht. Die nachfolgende Analyse phänotypischer Charakteristika stellt dabei die besondere Rolle der genannten Fibroblastenzelllinien heraus, welche eine Reihe von Gemeinsamkeiten untereinander und mit RASF besitzen. Sie zeigen ebenso erhöhte Migrationsaktivität unter dem Einfluss eines Chemoattraktants und besitzen ähnliche Destruktionsmuster von Kollagenmatrizen. Beide Zellreihen exprimieren mehr RASF-typische Proteasen, Adhäsionsmoleküle und immunologisch agierende Proteine als nicht pathologisch transformierte Fibroblasten. Ebenso weisen sie eine gesteigerte Stoffwechselaktivität und Proliferationstätigkeit auf. Diese in vitro erbrachten Hinweise auf mögliche Knorpeldestruktionen sollten Anlass für weitere In-vivo-Studien zu den genannten Zelllinien geben.

Many normal and cancerous cell lines exhibit a stable composition of cells in distinct states which can, e.g., be defined on the basis of cell surface markers. There is evidence that such an equilibrium is associated with stochastic transitions between distinct states. Quantifying these transitions has the potential to better understand cell lineage compositions. We introduce CellTrans, an R package to quantify stochastic cell state transitions from cell state proportion data from fluorescence-activated cell sorting and flow cytometry experiments. The R package is based on a mathematical model in which cell state alterations occur due to stochastic transitions between distinct cell states whose rates only depend on the current state of a cell. CellTrans is an automated tool for estimating the underlying transition probabilities from appropriately prepared data. We point out potential analytical challenges in the quantification of these cell transitions and explain how CellTrans handles them. The applicability of CellTrans is demonstrated on publicly available data on the evolution of cell state compositions in cancer cell lines. We show that CellTrans can be used to (1) infer the transition probabilities between different cell states, (2) predict cell line compositions at a certain time, (3) predict equilibrium cell state compositions, and (4) estimate the time needed to reach this equilibrium. We provide an implementation of CellTrans in R, freely available via GitHub (https://github.com/tbuder/CellTrans).

Knochenmarks-Stromazellen sind in den letzten Jahren in den Fokus der Forschung gerückt. Es konnte gezeigt werden, dass sie durch Bereitstellung von Überlebenssignalen essenziell für die Erhaltung hämatopoetischer Nischen sind. Stromales Interleukin-7 (IL-7) konnte dabei für T Zellen als Überlebenssignal identifiziert werden. Gemeinsam ist allen Stromazellen die Expression des Oberflächenmarkers CD106/VCAM-1. Ein effizientes Protokoll erlaubte die qualitative wie quantitative Isolation von Stromazellen aus dem murinen Knochenmark mit anschließender ex vivo Microarray-Analyse. Die auf diese Weise ermittelten Kandidaten-Marker wurden auf Proteinebene via Histologie und (Hochdurchsatz-) Durchflusszytometrie validier. Dazu gehören z.B. die Marker CD1d, gas6 oder ANXA2R. CD1d wurde als guter Interimsmarker für VCAM-1+PECAM-1- Stromazellen identifiziert, wohingegen die IL-7-Produzenten in der Population von CD200int/BP 1+/CD73+/CD105- angereichert sind. Gleiches gilt für den Transkriptionsfaktor Prrx1. CD55, BP-1 and Cadherin-11 zeigten eine Expressionsmuster in Abhängigkeit des verwendeten IL-7-Reportermaus-Haplotyps. Für BP-1 und Cadherin 11 konnte die Abwesenheit von reifen Lymphozyten als Ursache des Feedbacks ausgeschlossen werden. Die Haplotypen der Reportermaus legten auch eine monoallele Expression des IL-7 nahe. Die Ergebnisse dieser Arbeit zeigen VCAM-1+ (IL-7+/-) Stromazellen als heterogene Population, wenn es nach der Vielzahl der möglichen exprimierten Marker geht. Zwischen vielen dieser Marker gibt es aber wiederum auf Zelloberflächenebene einen großen Überlapp. Die funktionelle Relevanz dieser Oberflächenmarker-Diversität wird in weiteren Arbeiten zu klären sein, gibt aber den Stromazellen ein breites Repertoire vor, um Interaktionen mit Lymphozyten zu initiieren, modulieren und inhibieren. Abschließend ist zu erwarten, dass diese Erkenntnisse in die klinische Behandlung der Stroma-Nischen in Autoimmun-Fragestellungen einfließen. / Bone marrow stromal cells receive increasing amounts of attention lately. They have been shown to support survival of hematopoietic stem cells as well as memory lymphocytes which is of great importance when targeting the perseverance of autoimmune diseases. CD4+ memory T lymphocytes reside in the proximity of VCAM-1 expressing stromal cells which provide them with survival signals such as Interleukin-7. Herein, a protocol was developed to quantitatively obtain VCAM-1+ and VCAM-1+ IL-7+/- stromal cells via enzymatic/mechanic digestion and cytoskeleton-inhibition. Ex vivo gene expression analysis was performed from sorted, pure cells with good recovery. Candidate genes/markers were validated in (high-throughput) flow cytometry and histological analysis including subsequent semi-automated colocalization was performed. CD1d was found to be good surrogate marker for VCAM-1+PECAM-1- non-endothelial stroma while the population of CD200int/BP-1+/CD73+/CD105- stromal cells is greatly enriched in IL-7 producers which was equally true for the stromal transcription factor Prrx1. CD55, BP-1 and Cadherin-11 were found to be differentially expressed in differing IL-7 reporter mice haplotypes. The reporter mice haplotypes revealed monoallelic expression features of IL-7. All methodologies suggest that VCAM-1+ as well as IL-7+/- stromal cells are heterogeneous by marker expression yet don’t cluster extensively in flow cytometry co-stains. The functional relevance of the marker diversity described in this thesis remains to be tested but insinuates a broad repertoire for bone marrow stroma cells for new interaction pathways with lymphocyte subsets. Ultimately, this knowledge will hopefully feedback to clinical questions of autoimmunity for targeted treatment of stromal niches.

In cultured medaka testis fragments, cells remained viable for the entire culture period (17h), and spermatids that developed from spermatocytes were viable and motile. Primary cultures were characterized over a period of two days with respect to cell viability and the distribution of adherent and suspended cells. These two cell populations were maintained in dynamic equilibrium in vitro for several days. Proliferating cells were predominant among clusters of suspended cells, as determined by BrdU labeling, and CFSE and propidium iodide PI labeling. Based on cytological criteria, the proliferating cells were mostly spermatogonia and possibly also preleptotene spermatocytes. Differentiation of spermatocytes into spermatids or spermatozoa was also observed, mainly among the suspended cells. These results suggest that the organ and primary culture systems are suitable systems for studying the effects of substances that interfere with spermatogenesis in the medaka, a model vertebrate. The organ and primary culture systems were used to analyze the effects of a synthetic estrogen, EE2, on cell proliferation in medaka testis. Both organ and primary culture were suitable for this purpose consistently small concentrations (0.01 and 1 nM) of EE2 stimulated cell proliferation slightly, while higher concentrations (100 nM) had an inhibitory effect. To investigate the effect of phytoestrogens on cell proliferation in spermatogenesis, selected flavonoids [genistein (1, 10, 100 µg/ml), quercetin (0.01, 1, 100 µM), and 8-prenylnarigenin (0.001, 0.1, 1, 10 µM)] were added to medaka testis primary cultures. Genistein and quercetin inhibited cell proliferation in the cultures while 8-prenylnarigenin had no effect. In a second series of experiments the addition of genistein (10 µg/ml) to primary cultures significantly inhibited both cell proliferation and cell differentiation as determined by flow cytometry using CFSE/PI labeling.

Biomedical research relies on identification and isolation of specific cell types using molecular biomarkers and sorting methods such as fluorescence or magnetic activated cell sorting. Labelling processes potentially alter the cells’ properties and should be avoided, especially when purifying cells for clinical applications. A promising alternative is the label-free identification of cells based on physical properties. Sorting real-time deformability cytometry (soRT-DC) is a microfluidic technique for label-free analysis and sorting of single cells. In soRT-FDC, bright-field images of cells are analyzed by a deep neural net (DNN) to obtain a sorting decision, but sorting was so far only demonstrated for blood cells which show clear morphological differences and are naturally in suspension. Most cells, however, grow in tissues, requiring dissociation before cell sorting which is associated with challenges including changes in morphology, or presence of aggregates. Here, we introduce methods to improve robustness of analysis and sorting of single cells from nervous tissue and provide DNNs which can distinguish visually similar cells. We employ the DNN for image-based sorting to enrich photoreceptor cells from dissociated retina for transplantation into the mouse eye.

Mouse embryonic stem cells (mESCs) can be maintained in a proliferative and undifferentiated state over many passages (self-renewal) while retaining the potential to give rise to every cell type of the organism (pluripotency). Autocrine FGF4/Erk signalling has been identified as a major stimulus for fate decisions and lineage commitment in these cells. Recent findings on serum-free culture conditions with specific inhibitors (known as 2i) demonstrate that the inhibition of this pathway reduces transcription factor heterogeneity and is vital to maintain ground state pluripotency of mESCs. We suggest a novel mathematical model to explicitly integrate FGF4/Erk signalling into an interaction network of key pluripotency factors (namely Oct4, Sox2, Nanog and Rex1). The envisaged model allows to explore whether and how proposed mechanisms and feedback regulations can account for different expression patterns in mESC cultures. We demonstrate that an FGF4/Erk-mediated negative feedback is sufficient to induce molecular heterogeneity with respect to Nanog and Rex1 expression and thus critically regulates the propensity for differentiation and the loss of pluripotency. Furthermore, we compare simulation results on the transcription factor dynamics in different self-renewing states and during differentiation with experimental data on a Rex1GFPd2 reporter cell line using flow cytometry and qRT-PCR measurements. Concluding from our results we argue that interaction between FGF4/Erk signalling and Nanog expression qualifies as a key mechanism to manipulate mESC pluripotency. In particular, we infer that ground state pluripotency under 2i is achieved by shifting stable expression pattern of Nanog from a bistable into a monostable regulation impeding stochastic state transitions. Furthermore, we derive testable predictions on altering the degree of Nanog heterogeneity and on the frequency of state transitions in LIF/serum conditions to challenge our model assumptions.

Gestillte Kinder sind über die Muttermilch mit persistenten organischen Schadstoffen (POPs) belastet. Tierexperimentelle Studien deuten auf eine besondere Empfindlichkeit des sich entwickelnden Immunsystems für POPs hin. Mögliche Effekte dieser Verbindungen auf den kindlichen Organismus sind bisher kaum untersucht. Es wurden potenzielle Einflüsse verschiedener POPs (PCDDs, PCDFs, PCBs, beta-HCH, HCB und pp-DDE) auf natürliche Killerzellen (NK-Zellen) und NK-Aktivität bei gestillten im Vergleich zu nicht gestillten Kindern untersucht. NK-Zellen sind eine Lymphozytensubpopulation (CD3-CD56/16+), die über ihre zytotoxische Aktivität allogene, virusinfizierte und maligne Zellen ohne vorherige Sensibilisierung töten kann. Es wurden 66 gesunde Kinder im Alter von 11-12 Monaten untersucht, davon waren 50 Kinder mindestens 4 Monate lang voll gestillt und 16 Kinder nicht gestillt. Aus einer Region mit bekannter erhöhter PCDD/PCDF-Belastung stammten 13 gestillte Kinder. Die NK-Zellzahlen wurden mittels Immunphänotypisierung am Durchflusszytometer bestimmt. Die Aktivität der NK-Zellen wurde mit einem nicht-radioaktiven, durchflusszytometrischen Zytotoxizitäts-Assay gemessen. Die POP-Konzentrationen im Blutfett der Probanden wurden kommerziell bestimmt. Weder bei den NK-Zellzahlen, noch bei der NK-Aktivität konnten zwischen den gestillten und nicht-gestillten Kindern signifikante Unterschiede im t-Test nachgewiesen werden. In Korrelationsanalysen zeigten sich keine signifikanten Einflüsse der POP-Konzentrationen auf NK-Zellzahlen und NK-Aktivität. Im Laufe der Untersuchung zeigte sich, dass der eingesetzte Zytotoxizitäts-Assay nur semiquantitative Daten lieferte. Die vorliegenden Ergebnisse und weitere Befunde bezüglich des Immunsystems der Probanden weisen darauf hin, dass die relativ hohe Belastung lange gestillter Säuglinge mit POPs nicht zu einer biologischen Wirkung im kindlichen Organismus führt. Angesichts der nachgewiesenen positiven Effekte des Stillens, kann diesbezüglich die bestehende Stillempfehlung bekräftigt werden. / Breast-fed infants are exposed to persistent organic pollutants (POPs) via breast milk. Animal studies indicate a special sensitivity of the maturing immune system to POPs. Possible effects of these compounds on the infantile organism are so far barely examined. Potential influences of several POPs (PCDDs, PCDFs, PCBs, beta-HCH, HCB and pp-DDE) on natural killer (NK) cells and NK activity of breast-fed infants in comparison to formula-fed infants were investigated. NK cells are a subset of lymphocytes (CD3-CD56/16+) that can kill allogeneic, virus-infected and malignant cells via their cytotoxic activity without prior sensitization. The study group consisted of 66 healthy infants examined at age 11 to 12 months, of which 50 infants were breast-fed and 16 infants were formula-fed. 13 breast-fed infants came from a region with known increased PCDD/PCDF-burden. Numbers of NK cells were measured by flow cytometric immunophenotyping. NK activity was analysed by a non-radioactive flow cytometric cytotoxicity assay. POP concentrations in the blood fat of the probands were calculated commercially. There were no significant differences between breast-fed and formula-fed infants concerning number and activity of NK cells in the t-test. Analysis of correlation showed no significant influences of POP concentrations on the number and activity of NK cells. In the course of the study the data obtained by the employed cytotoxicity assay proved to be only semiquantitative. The presented findings and further results concerning the immune system of the study subjects suggest that the relatively high burden of long-term breast-fed infants with POPs does not lead to a biological effect in the infantile organism. Regarding the proven positive effects of breast-feeding the existing recommendation to breastfeed can be encouraged.

No description available.

Mouse embryonic stem cells (mESCs) can be maintained in a proliferative and undifferentiated state over many passages (self-renewal) while retaining the potential to give rise to every cell type of the organism (pluripotency). Autocrine FGF4/Erk signalling has been identified as a major stimulus for fate decisions and lineage commitment in these cells. Recent findings on serum-free culture conditions with specific inhibitors (known as 2i) demonstrate that the inhibition of this pathway reduces transcription factor heterogeneity and is vital to maintain ground state pluripotency of mESCs. We suggest a novel mathematical model to explicitly integrate FGF4/Erk signalling into an interaction network of key pluripotency factors (namely Oct4, Sox2, Nanog and Rex1). The envisaged model allows to explore whether and how proposed mechanisms and feedback regulations can account for different expression patterns in mESC cultures. We demonstrate that an FGF4/Erk-mediated negative feedback is sufficient to induce molecular heterogeneity with respect to Nanog and Rex1 expression and thus critically regulates the propensity for differentiation and the loss of pluripotency. Furthermore, we compare simulation results on the transcription factor dynamics in different self-renewing states and during differentiation with experimental data on a Rex1GFPd2 reporter cell line using flow cytometry and qRT-PCR measurements. Concluding from our results we argue that interaction between FGF4/Erk signalling and Nanog expression qualifies as a key mechanism to manipulate mESC pluripotency. In particular, we infer that ground state pluripotency under 2i is achieved by shifting stable expression pattern of Nanog from a bistable into a monostable regulation impeding stochastic state transitions. Furthermore, we derive testable predictions on altering the degree of Nanog heterogeneity and on the frequency of state transitions in LIF/serum conditions to challenge our model assumptions.

Many normal and cancerous cell lines exhibit a stable composition of cells in distinct states which can, e.g., be defined on the basis of cell surface markers. There is evidence that such an equilibrium is associated with stochastic transitions between distinct states. Quantifying these transitions has the potential to better understand cell lineage compositions. We introduce CellTrans, an R package to quantify stochastic cell state transitions from cell state proportion data from fluorescence-activated cell sorting and flow cytometry experiments. The R package is based on a mathematical model in which cell state alterations occur due to stochastic transitions between distinct cell states whose rates only depend on the current state of a cell. CellTrans is an automated tool for estimating the underlying transition probabilities from appropriately prepared data. We point out potential analytical challenges in the quantification of these cell transitions and explain how CellTrans handles them. The applicability of CellTrans is demonstrated on publicly available data on the evolution of cell state compositions in cancer cell lines. We show that CellTrans can be used to (1) infer the transition probabilities between different cell states, (2) predict cell line compositions at a certain time, (3) predict equilibrium cell state compositions, and (4) estimate the time needed to reach this equilibrium. We provide an implementation of CellTrans in R, freely available via GitHub (https://github.com/tbuder/CellTrans).