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Institute
- Biowissenschaften (200) (remove)
In allen drei Domänen des Lebens ist in der Translation die Initiation der geschwindigkeits-bestimmende Schritt. Die Effizienz der Translationsinitiation und ihre unterschiedliche Regula-tion ist von Translationsinitiationsfaktoren (IFs) abhängig. Bakterien enthalten nur drei IFs, während die Anzahl bei Archaeen (aIFs) und Eukaryoten (eIFs) deutlich höher ist.
Das Archaeon Haloferax volcanii beispielsweise besitzt 14 Gene, die für aIFs bzw. deren Untereinheiten kodieren. Eine Deletionsanalyse ergab, dass fünf aIFs essenziell und neun aIFs nicht essenziell sind. Um einen Einblick in die Funktions- und Interaktionsbereiche der aIFs in H. volcanii zu erhalten, wurden die aIFs mit einem His-Tag versehen und überexpri-miert. Die Überexpression erfolgte in der jeweiligen Deletionsmutante. Für essenzielle aIFs fand sie im Wildtyp statt. Durch Affinitätsaufreinigungen wurden die aIFs und ihre Bindungs-partner isoliert und mittels Massenspektrometrie (MS) identifiziert. Für den Ausschluss unspe-zifischer Proteine dienten zwei stringente Kontrollen als Referenz, das Reportergen Dihydro-folatreduktase (HVO_1279) mit His-Tag und das Expressionsplasmid ohne Gen.
Die ersten Arbeiten konzentrierten sich auf den heterotrimeren Faktor aIF2. Er bindet die Ini-tiator-tRNA und ist damit für die Bildung des Präinitiationskomplexes von zentraler Bedeu-tung. Der Faktor aIF2 besteht aus jeweils einer α-, β- und γ-Untereinheit. In H. volcanii existie-ren zwei Orthologe für aIF2β. Die Überexpressionen der α-, β1-, β2- und γ-Untereinheiten führten zur Co-Isolation der jeweils anderen Untereinheiten des aIF2 (α, β1/ β2, γ).
Die Strategie der Co-Affinitätsaufreinigung und MS wurde auf alle weiteren annotierten aIFs ausgedehnt, um mögliche Funktionen zu identifizieren und ein potenzielles Interaktionsnetz-werk der aIFs zu erstellen. Für alle aIFs konnte ein unterschiedliches Muster an co-gereinigten Proteinen festgestellt werden. Mitgereinigte Proteine waren aIFs, Proteine der Translation, Transkription, Replikation und ribosomale Proteine. Auch RNA-Polymerase-Untereinheiten (RNAPUs) konnten co-isoliert werden. Mit 13 der 14 aIFs konnten andere Ini-tiationsfaktoren co-gereinigt werden. Sechs aIFs konnten zu Beginn bei keinem weiteren Initi-ationsfaktor mitgereinigt werden. Einer dieser Faktoren war aIF2β-1, der jedoch in den Affini-tätsaufreinigungen mit nachfolgender FPLC von aIF2β-2 identifiziert werden konnte. Der Fak-tor aIF1 konnte nur in der stationären Phase von aIF2α mitgereinigt werden.
Die am häufigsten co-gereinigten Proteine waren aIF2Bδ-1 und aIF5B. Für aIF2Bδ-1 kam dies überraschend, da er bereits als Translationsinitiationsfaktor ausgeschlossen wurde. Mit dem Faktor aIF2Bδ-1 selbst konnten fünf aIFs co-gereinigt werden.
Da mit den aIFs auch RNAPUs co-gereinigt werden konnten, wurden sieben RNAPUs ebenfalls mit einem His-Tag versehen und überexprimiert. Auch mit den RNAPUs konnten aIFs, sowie weitere Proteine der Translation mitgereinigt werden.
Diese Umstände legen nahe, dass es möglicherweise eine engere Verbindung der Tran-skription und Translation in H. volcanii geben könnte, als bisher angenommen.
Nematodes represent a diverse and ubiquitous group of metazoans in terrestrial environments. They feed on bacteria, fungi, plants, other nematodes or parasitize a variety of animals and hence may be considered as active members of many food webs. Deadwood is a structural component of forest ecosystems which harbors many niches for diverse biota. As fungi and bacteria are among the most prominent decomposing colonizers of deadwood, we anticipated frequent and diverse nematode populations to co-occur in such ecosystems. However, knowledge about their ability to colonize this habitat is still limited. We applied DNA-based amplicon sequencing (metabarcoding) of the 18S rRNA gene to analyze nematode communities in sapwood and heartwood of decaying logs from 13 different tree species. We identified 247 nematode ASVs (amplicon sequence variants) from 27 families. Most of these identified families represent bacterial and fungal feeders. Their composition strongly depended on tree species identity in both wood compartments. While pH and water content were the only wood properties that contributed to nematodes’ distribution, co-occurring fungal and prokaryotic (bacteria and archaea) α- and β-diversities were significantly related to nematode communities. By exploring thirteen different tree species, which exhibit a broad range of wood characteristics, this study provides first and comprehensive insights into nematode diversity in deadwood of temperate forests and indicates connectivity to other wood-inhabiting organisms.
Downy mildews caused by obligate biotrophic oomycetes result in severe crop losses worldwide. Among these pathogens, Pseudoperonospora cubensis and P. humuli, two closely related oomycetes, adversely affect cucurbits and hop, respectively. Discordant hypotheses concerning their taxonomic relationships have been proposed based on host–pathogen interactions and specificity evidence and gene sequences of a few individuals, but population genetics evidence supporting these scenarios is missing. Furthermore, nuclear and mitochondrial regions of both pathogens have been analyzed using microsatellites and phylogenetically informative molecular markers, but extensive comparative population genetics research has not been done. Here, we genotyped 138 current and historical herbarium specimens of those two taxa using microsatellites (SSRs). Our goals were to assess genetic diversity and spatial distribution, to infer the evolutionary history of P. cubensis and P. humuli, and to visualize genome-scale organizational relationship between both pathogens. High genetic diversity, modest gene flow, and presence of population structure, particularly in P. cubensis, were observed. When tested for cross-amplification, 20 out of 27 P. cubensis-derived gSSRs cross-amplified DNA of P. humuli individuals, but few amplified DNA of downy mildew pathogens from related genera. Collectively, our analyses provided a definite argument for the hypothesis that both pathogens are distinct species, and suggested further speciation in the P. cubensis complex.
Fatty acids in oomycetes
(2021)
In the published article, there was an error regarding the affiliation for Diana Abondano Almeida. As well as having affiliation 2, they should also have Department of Wildlife-/Zoo-Animal-Biology and Systematics, Faculty of Biological Sciences, Goethe Universität, Frankfurt, Germany.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Cancer is a multifactorial disease with increasing incidence. There are more than 100 different cancer types, defined by location, cell of origin, and genomic alterations that influence oncogenesis and therapeutic response. This heterogeneity between tumors of different patients and also the heterogeneity within the same patient’s tumor pose an enormous challenge to cancer treatment. In this review, we explore tumor heterogeneity on the longitudinal and the latitudinal axis, reviewing current and future approaches to study this heterogeneity and their potential to support oncologists in tailoring a patient’s treatment regimen. We highlight how the ideal of precision oncology is reaching far beyond the knowledge of genetic variants to inform clinical practice and discuss the technologies and strategies already available to improve our understanding and management of heterogeneity in cancer treatment. We will focus on integrating multi-omics technologies with suitable in vitro models and their proficiency in mimicking endogenous tumor heterogeneity.
The central dogma of biology is based on the concatenated transfer of information from DNA, via transcribed mRNA, to the translated protein. In eukaryotes, transcription and translation are separated locally as well as temporally by cellular compartmentalization. Prior to active export factor-dependent transport from the nucleus to the cytosol, the newly formed pre-mRNA must mature. This involves 5'capping, splicing, and endonucleolytic cleavage and polyadenylation (CPA).
Transcription of a new pre-mRNA is terminated by hydrolytic cleavage in the 3'-UTR, and the newly formed 3'-end is protected from premature degradation by synthesis of a poly(A) tail. These processes are catalyzed by four multi-protein complexes (CFIm, CFIIm, CPSF, and CsTF) and poly(A) polymerase (PAP). CPA is sequence-specific and dependent on RNA-binding proteins (RBPs). APA-specific sequences include the poly(A) motif ('AAUAAA' and certain motif variants), the UGUA motif, and U/GU-rich sequences upstream and downstream of the poly(A) signal, respectively. About 70% of mammalian genes have more than one polyadenylation site (PAS) and express transcripts of different lengths by a mechanism called alternative polyadenylation (APA). This can affect the length of the 3'UTR (3'UTR-APA) or the coding sequence of the transcript (CDS-APA) if the alternative PAS is upstream of the STOP codon. The length of the 3'UTR affects the stability, export efficiency, subcellular localization, translation rate, and local translation of the nascent transcript. 3'UTR-APA is regulated in the interplay of the cis-elements (poly(A) motif, UGUA and U/GU) and trans-elements (expression of CPA factors). In this context, the functions of the individual cis and trans elements have been extensively studied, yet the regulation of alternative polyadenylation-the decision whether to use the proximal or distal PAS-is less deciphered and requires additional study.
In murine P19 cells, we were able to demonstrate for the first time a direct link between 3'UTR-APA and nuclear export of mature mRNA by the splicing factors SRSF3 and SRSF7 and decipher the mechanism. At the core here is the direct recruitment of the export factor NXF1 by SRSF3 and SRSF7 to transcripts with 3'UTRs of different lengths.
The primary goal of the thesis presented here was to decipher the function of SRSF3 and SRSF7 in the regulation of 3'UTR-APA and to determine the basic mechanism. For this purpose, various genome-wide methods, such as RNA-Seq, MACE-Seq, and iCLIP-Seq, were integrated and the findings were supported by reporter gene and mutation studies.
Initial determination of the poly(A)-tome in P19 cells by MACE-Seq yielded approximately 16,000 PAS and showed that slightly less than 50% of all genes used two or more PAS and expressed alternative 3'UTR isoforms. Further DaPARS analyses after knockdown of Srsf3 or Srsf7 confirmed that SRSF3 affected more transcripts than SRSF7 and led primarily to the expression of long 3'UTRs, whereas SRSF7 promoted the expression of short 3'UTRs. Integration of SRSF3- and SRSF7-specific iCLIP data suggested a possible competition between SRSF3 and SRSF7 at the proximal PAS (pPAS), which could thus act as a hotspot of 3'UTR regulation.
Experiments with intron-free reporter genes revealed that SRSF3- and SRSF7-dependent regulation of 3'UTR-APA is independent of splicing. With respect to SRSF7, a concentration dependence was demonstrated. Mutation experiments involving the SRSF3- and SRSF7-specific binding motifs in the 3'UTR also confirmed the hypothesis of competition between the two SR proteins.
Extensive Co-IP experiments clearly demonstrated that only SRSF7, but not SRSF3, can interact with CFIm and FIP1 (a subunit from the CPSF complex) in an RNA-independent manner. In addition, we showed that these interactions exhibited some phosphorylation dependence, such that the interaction to FIP1 arose primarily in the semi- to hypophosphorylated state of SRSF7. Whereas the interaction to CFIm was mainly detected in the hyperphosphorylated state. The differential affinity between SRSF3 and SRSF7 for polyadenylation factors could be attributed to two SRSF7-specific domains in subsequent mutation experiments: A CCHC-type Zn finger between the RRM and the RS domain, and a hydrophobic 27 amino acid long region in the middle of the RS domain. Together, this suggested that SRSF3 could block the utilization of pPAS, whereas SRSF7 could activate it by directly recruiting polyadenylation factors.
Interestingly, we showed that knockdown of Srsf3 also negatively regulates the expression of Cpsf6 (a subunit of CFIm) through alternative splicing, which subsequently leads to decreased expression of CPSF6 and of CFIm. Reduction of CFIm led to increased expression of transcripts with short 3'UTR, analogous to knockdown of Srsf3. This mirrors the results of previous studies. A direct comparison between SRSF3- and CPSF6-specific transcripts revealed that not all targets were congruent. In addition, we found preliminary evidence for CFIm-related masking of essential cis-pPAS elements by bimodal UGUA motifs at the pPAS. In summary, we present a novel mechanism of indirect 3'UTR-APA regulation through SRSF3-conditional expression of the CFIm subunit CPSF6.
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Cellular communication is a concept that can be explained as the transfer of signals or material (such as cytokines, ions, small molecules) between cells from the same or different type, across either short or long distances. Once this signal or material is received, it will, as a rule, promote a functional effect. Several routes, involved in this transfer, are well described and are of global importance for organ/tissue communication in an organism.
The brain interacts dynamically with the immune system, and the main route known to mediate this communication, is via the release of cytokines (by peripheral blood cells), which can then activate certain brain cell types, such as microglia, directly, or activate the vagus nerve transferring signals to neuronal populations in the brain. The communication between these two systems plays a key role in the pathophysiology of neurodegenerative diseases, and the mechanisms involved in this interaction are of central importance for understanding disease initiation and progression and search for therapeutic models.
The Momma lab previously addressed the mechanisms of interaction between the peripheral immune system and the brain by investigating cellular fusion of haematopoietic cells with neurons after inflammation. They addressed the question of whether this phenomenon also occurs under non-invasive conditions. To approach this problem, a genetic tracing model that relies on the Cre-Lox recombination system was used. Transgenic mice expressing Cre recombinase specifically in the haematopoietic lineage were crossed into a Cre-reporter background, thus all haematopoietic cells irreversibly express the reporter marker-gene EYFP. Using this model, EYFP was detected in non-haematopoietic tissues, suggesting the existence of a communication mechanism never described before. As cells containing two nuclei were never detected, fusion as a mechanism was excluded, suggesting that Cre reaches non-haematopoietic cells via a different signalling pathway. The Momma lab investigated whether the transfer of material through extracellular vesicles (EVs) could be behind this periphery-to-brain communication. Using the genetic mouse model, they were able to trace the transfer of Cre RNA via EVs between cells in vivo, generating the first in vivo evidence of functional RNA transfer by EVs between blood and brain.
The last decade has witnessed a rapid expansion of the field of EVs. Initially considered as waste disposal material, recent evidence has challenged this view. EVs are currently considered as a widespread intercellular communication system that can transport and transfer all types of biomolecules, from nucleic acids to lipids and proteins. However, several important questions are still under investigation. One of them is whether EVs are involved in brain pathophysiology, as inflammation plays an important role in onset and progression of neurodegenerative diseases and is well described in Parkinson Disease (PD). Based on preliminary data in a mouse, peripherally injected with a low dose of Lipopolysaccharide (LPS, an endotoxin found in the outer-membrane of Gram-negative bacteria, which causes an immune response), neurons and other cell population in the brain take up EVs from the periphery. Particularly, dopaminergic neurons from Substantia Nigra and Ventral Tegmental Area have been shown to receive functional RNA, transported through EVs, which can lead up to 20% of recombination. Furthermore, different neuronal populations from Hippocampus, Cortex and Cerebellum exhibit recombination, indicating a widespread signalling from blood to the brain. Therefore, the goal of my PhD thesis was to investigate the mechanisms of this transfer and the triggers that lead to EV uptake by neural cells in vivo both in pathological and physiological conditions.
In this project, the extent and function of EV-mediated signalling from blood to brain is explored in the context of peripheral inflammation and neurodegenerative diseases. Firstly, EVs isolated from WT mice were further characterized using size-exclusion chromatography (SEC), Western Blot (WB) and electron microscopy in order to extend the knowledge from previous work done in the Momma lab. Secondly, to expand on the biological relevance of the fact that inflammation is correlated with an increase in EV uptake, different approaches using the genetic murine tracing model were used. Recombination events from haematopoietic cells to the brain have been followed after peripheral injection of LPS. Peripheral inflammation caused by LPS injection led to widespread recombination events in the brain, specifically in microglia and neurons, including dopaminergic (DA) neurons. In contrast, astrocytes, oligodendrocytes and endothelial cells were never or very rarely recombined. Additionally, peripheral LPS injection in a murine model, where Cre is expressed only in erythrocytes, led to recombination events only in microglia, suggesting that the type of EV-secreting cell plays a role in the targeting of EVs to a specific cell population.
Der Verzehr von radioaktiv belasteten Pilzfruchtkörpern stellt ein Gesundheitsrisiko für den Menschen dar und auch fast 35 Jahre nach der Reaktorkatastrophe von Tschernobyl im Jahr 1986 sind Pilze aus Waldökosystemen zum Teil noch stark durch das ausgetretene radioaktive 137Cs belastet. Die Einschätzung der Belastung und somit des Gesundheitsrisikos ist aufgrund einer Vielzahl von Einflussfaktoren, wie z. B. der Pilzart, der Tiefe des Myzels, der Bodenkontamination und der Feuchtigkeit des Bodens, schwierig. Ziel dieser Arbeit war es die Variabilität, den Einfluss verschiedener Faktoren sowie die effektive Halbwertszeit der 137Cs-Aktivität in Pilzfruchtkörpern zu ermitteln. Des Weiteren wurde überprüft, ob die Bodenkontamination für eine Abschätzung der 137Cs-Aktivität von Pilzfruchtkörpern herangezogen werden kann. Für die Untersuchungen wurden über mehrere Jahre Proben von Maronenröhrlingen (Imleria badia) und Steinpilzen (Boletus edulis) aus vier Waldgebieten in Mittel- und Süddeutschland mit unterschiedlichem Aktivitätseintrag nach der Reaktorkatastrophe von Tschernobyl im Jahr 1986 analysiert. Die Gebiete waren Eichenzell, Wülfersreuth, Oberschönenfeld und der Nationalpark Bayerischer Wald. Als Ergänzung dienten zugesendete Proben derselben Pilzarten von Mitgliedern aus Pilzvereinen aus ganz Deutschland. Zusätzlich zu den Pilzproben wurden Bodenproben gemessen, um zum einen die aktuelle Bodenkontamination zu bestimmen und zum anderen zu überprüfen, ob der Großteil des 137Cs weiterhin im Bereich des Pilzmyzels zu finden ist.
Für die Untersuchung der örtlichen Variabilität der 137Cs-Aktivität wurden Maronenröhrlinge (Imleria badia) aus dem Waldgebiet Eichenzell in den Jahren 2017 bis 2019 analysiert. Innerhalb eines Sammeltages variierten die Messwerte verschiedener Proben innerhalb des Waldgebietes teilweise um den Faktor sechs. Dabei ist die Variabilität innerhalb eines Teilgebietes größer als zwischen beiden Teilgebieten des Waldgebietes Eichenzell. Für ein repräsentatives Ergebnis eines Gebietes ist es aufgrund der Variabilität erforderlich, eine ausreichende Menge an Fruchtkörpern zu analysieren.
Um die effektive Halbwertszeit der 137Cs-Aktivität in Maronenröhrlingen (Imleria badia) zu ermitteln, wurden Proben aus drei Waldgebieten über fünf bis neun Jahre analysiert. Die Wahl der drei Waldgebiete erfolgte anhand des 137Cs-Aktivitätseintrags nach der Reaktorkatastrophe von Tschernobyl im Jahr 1986. Die Bodenkontaminationswerte variieren von 3.000 Bq/m² in Eichenzell über 12.500 Bq/m² in Wülfersreuth bis 35.000 Bq/m² in Oberschönenfeld. Die effektiven Halbwerts-zeiten liegen in einem engen Bereich von 5,2 bis 5,8 Jahre mit einem Mittelwert von 5,4 ± 0,3 Jahren. Damit reduziert sich die radioaktive Belastung der Pilzfruchtkörper in etwa fünfmal schneller als durch die rein physikalische Halbwertszeit des 137Cs von 30,08 Jahren. Durch die Hinzunahme von bereits im Jahr 1990 veröffentlichten Daten ergab sich eine längere effektive Halbwertszeit von 7,7 ± 0,6 Jahren.
Für die Untersuchung der zwei Einflussfaktoren Exposition des Sammelgebiets (Hangausrichtung nach Ost oder West) und Höhenlage wurden sowohl Maronenröhrlinge (Imleria badia) als auch Steinpilze (Boletus edulis) hinsichtlich der 137Cs-Aktivität gemessen, um die Auswirkung auf Pilzarten mit unterschiedlichem Akkumulationsvermögen zu analysieren. Als Untersuchungsgebiet diente der Nationalpark Bayerischer Wald, da dieser ein großes Gebiet umfasst und verschiedene Ausprägungen der beiden Faktoren abbildet. Zudem wurde das Gebiet in Folge der Reaktorkatastrophe von Tschernobyl stark kontaminiert und der Park ist ein beliebtes Pilzsammelgebiet. Anhand der 137Cs-Aktivität von Bodenproben konnte das Gebiet in zwei Regionen (Cluster) eingeteilt werden: eine Region mit hohem und eine mit niedrigem Aktivitätseintrag. Im Vergleich wiesen Maronenröhrlinge (Imleria badia) durchschnittlich eine um den Faktor fünf höhere 137Cs-Aktivität als Steinpilze (Boletus edulis) auf. Der Faktor Höhenlage zeigte im Gegensatz zur Exposition einen Einfluss auf die Kontamination der Pilzfruchtkörper. In Bezug auf die Höhenlage war der Einfluss nur im Falle eines hohen Aktivitätseintrags signifikant, wobei die Pilzproben aus der niedrigsten Höhenlage am höchsten belastet waren.
Zur Ermittlung der vertikalen Verteilung des 137Cs im Boden wurden in den Waldgebieten Eichenzell und Nationalpark Bayerischer Wald Proben bis zu einer Tiefe von 24 cm entnommen und anschließend in 2 cm Schichten analysiert. Alle Verteilungen konnten mit einem Gauß-Fit oder einem multiplen Gauß-Fit mit 2 bis 3 Maxima abgebildet werden. Das erste Maximum lag in allen Fällen in den organischen Horizonten oder im Übergangsbereich zum Ah-Horizont. Folglich befindet sich der Großteil des 137Cs fast 35 Jahre nach der Reaktorkatastrophe von Tschernobyl immer noch im Bereich des Pilzmyzels und kann somit von den Pilzen aufgenommen und in den Fruchtkörpern angereichert werden.
Der Vergleich der 137Cs-Aktivität der Pilz- und Bodenproben aus dem Nationalpark Bayerischer Wald ergab sowohl für Maronenröhrlinge (Imleria badia) als auch für Steinpilze (Boletus edulis) eine positive Korrelation. Nach Unterteilung der Proben anhand der Höhenlage zeigte sich eine noch stärkere Korrelation. Dies zeigt, dass neben der Bodenkontamination auch die Höhenlage einen Einfluss auf die 137Cs-Aktivität der Fruchtkörper hat.
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Despite constant progress in basic and translational research, cancer is still one of the leading cause of death. In particular, tumors of the central nervous system (CNS) are usually associated with dismal prognosis. Although about 100 distinct subtypes of primary CNS tumors have been classified molecularly, metastases derived from primaries outside the CNS (= brain metastases, BrM) are more frequently observed across brain tumor patients. It is estimated that approximately 20 - 40 % of all cancer patients will develop BrM during their course of disease, and basically every tumor type is able to metastasize to the brain. Nevertheless, BrM are most frequently derived from primaries of the lung, breast, and skin (melanoma). Treatment options for patients with BrM are very limited, and standard of care therapies include surgery, ionizing radiation (e.g. whole brain radio-therapy, WBRT), and some systemic and immuno-therapeutic approaches.
The brain represents a unique organ, which in part is due to the presence of the blood-brain barrier, a unit of the neuro-vascular interface ensuring tightly regulated exchange of nutrients, molecules, and cells. Furthermore, apart from microglia the brain parenchyma does not harbor other immune cells. Those cells however can be found at the borders of the CNS residing in the meninges, for instance. Based on recent insight on the immune landscape in the CNS, a paradigm shift occurred after which the brain is no longer regarded as immune-privileged but rather immune distinct. The phenomenon of immune cell infiltration has been described before in the context of neurological disorders including Multiple Sclerosis, as well as in brain tumors.
Since the development of immune-therapeutic approaches for tumors outside the CNS that aim to evoke sustainable anti-tumor effects, it became increasingly interesting to understand and harness the immune landscape (= tumor microenvironment, TME) of brain tumors, as well. Interestingly, most of the knowledge about the TME is based on studies of primary brain tumors. However, it is known that BrM compared to primary brain tumors induce a different TME like e.g. the recruitment of much more lymphocytes, which is one of the reasons primary brain tumors are considered immunologically “cold” and poorly respond to immuno-therapies. Previous insight into the functional contribution of tumor-associated cells in BrM progression revealed for example that brain-resident cell types (e.g. astrocytes or microglia) promote BrM development and outgrowth. However, until recently a comprehensive view on the cellular composition and functional role of the brain metastases-associated TME was missing and little was known how it changes during tumor progression or standard therapy.
Hence, within this thesis it was sought to describe novel aspects of the TME of preclinical BrM models, which include two xenograft and one syngeneic mouse model. BrM was induced via intra-cardiac injection of tumor cells with a high brain tropism. Both xenograft models were based on immuno-compromised nude mice (Balb/c nude) and included the melanoma-to-brain (M2B) model H1_DL2, and the lung-to-brain (L2B) model H2030. In addition the breast-to-brain model 99LN-BrM was used in wild-type mice (BL6), and therefore represented an immuno-competent, syngeneic model. First BrMs could be detected in the xenograft models at 3 weeks after injection, whereas first 99LN BrMs were detected at 5 weeks. BrM development and progression were monitored by bioluminescence imaging once per week in the xenograft models. Tumor progression in the 99LN model was examined by magnetic resonance imaging. Based on the measurement methods, and for further histologic and cytometric experiments, mice were stratified into groups with small or large BrMs, respectively. Some initial immuno-stainings confirmed previous findings, showing that brain-resident cells like astrocytes and microglia become activated in the presence of tumor cells, whereas neurons for example rather give the impression of passive bystanders. Importantly, an accumulation of IBA1+ cells was observed during BrM progression. IBA1 is a pan-macrophage marker that stains all tumor-associated macrophages (TAMs). However previous work suggested that the TAM population consists of at least two main subpopulations in BrM as well: the resident-infiltrating microglia (MG, TAM-MG), as well as the peripheral and monocytic-derived macrophages (TAM-MDM). Since both cell types within the tumor share morphological traits, and due to the lack of markers to distinguish them, an exact discrimination of both cell types was complicated in the past. Recently, an integrative lineage-tracing-based study identified the integrin CD49d as MDM-specific in the context of brain tumor-associated myeloid cells, hence enabling a reliable dissection of both TAM populations in e.g. flow cytometric experiments.
One of the main aims of this thesis was to dissect the myeloid TME in the three different BrM models during tumor progression. Using a 5-marker flow cytometry (FCM) (CD45/CD11b/Ly6C/Ly6G/CD49d) approach, the following cell populations were examined in more detail: granulocytes, inflammatory monocytes, MDM, and MG.
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