Schlussbericht des Vorhabens "Synergetische Lehrerbil-dung im exzellenten Rahmen" (TUD-Sylber²)

Das Projekt "Synergetische Lehrerbildung im exzellenten Rahmen" (TUD-Sylber²) zielte auf eine nachhaltige Verbesserung der inhaltlichen und organisatorischen Gestaltung der Lehrkräftebildung an der TU Dresden (TUD). Im Schwerpunkt Organisationsentwicklung ging es darum, im Zentrum für Lehrerbildung, Schul- und Berufsbildungsforschung (ZLSB) Querstrukturen für die universitäre Lehrkräftebildung zu etablieren, die Koordinations- und Unterstützungsleistungen für alle an den Lehramtsstudiengängen beteiligten Fakultäten erbringen. Der Schwerpunkt Qualitätsverbesserung umfasste die Bearbeitung zentraler inhaltlicher Herausforderungen für die Lehrkräftebildung: Inklusion/Umgang mit Heterogenität, Digitalisierung/Digitale Medien in die Lehrkräftebildung und Kohärenz von Fachwissenschaft, Fachdidaktik und Bildungswissenschaft im Lehramtsstudium. Der Schwerpunkt Regionale Vernetzung diente der Stärkung der Kooperation der universitären Lehrkräftebildung mit regionalen Akteuren (z. B. Schulen, außerschulischen Lernorten) sowie mit den Verantwortlichen für Vorbereitungsdienst und Lehrkräftefortbildung. Im Laufe der Projektlaufzeit konnten bewährte Arbeitsstrukturen und -prozesse für fakultätenübergreifende Aufgaben in der TUD-Lehrkräftebildung erfolgreich etabliert werden (überschneidungsfreie Lehrveranstaltungsplanung, Qualitätssicherung der Lehramtsstudiengänge, wissenschaftliche Nachwuchsförderung, Kooperation mit außeruniversitären Partnern). Zu den zentralen Querschnittsthemen der Lehrkräftebildung wurden im Rahmen von TUD-Sylber² Lehr-Lern-Konzepte entwickelt, Materialien und Werkzeuge erstellt sowie Lehrveranstaltungen im Studium sowie Lehrkräftefortbildungen durchgeführt. Datei-Upload durch TIBThe research project „Synergetic Teacher Education within a Framework of Excellence“ (TUD-Sylber²) was aiming for the improvement of the design of teacher education at TUD Dresden University of Technology regarding content and organization. The core area Organizational development focused on establishing cross structures for teacher education within the Center for Teacher Education and Educational Research (ZLSB) that provide services for all the faculties participating in teacher education degree programs. The core area Quality improvement covered the handling of vital challenges for teacher education in terms of content: Inclusion/handling heterogeneity, digitalization/digital media in teacher education and the coherence of specialist sciences, subject-related didactics and educational science in teacher education programs. The core area Regional networking attended the consolidation of cooperations between University’s teacher educators and regional protagonists (i. e. schools, extra-school learning locations) as well as the persons responsible for preparatory service and advanced teacher training. Over project duration, reliable working structures and operating processes in the TUD’s teacher education could successfully be established for tasks that are overarching different faculties (overlap-free teaching, quality assurance for the teacher education degree programs, support programs for young academics, cooperations with partners from outside university)

Gut microbiota link dietary fiber intake and short-chain fatty acid metabolism with eating behavior

The gut microbiome has been speculated to modulate feeding behavior through multiple factors, including short-chain fatty acids (SCFA). Evidence on this relationship in humans is however lacking. We aimed to explore if specific bacterial genera relate to eating behavior, diet, and SCFA in adults. Moreover, we tested whether eating-related microbiota relate to treatment success in patients after Roux-en-Y gastric bypass (RYGB). Anthropometrics, dietary fiber intake, eating behavior, 16S-rRNA-derived microbiota, and fecal and serum SCFA were correlated in young overweight adults (n = 27 (9 F), 21-36 years, BMI 25-31 kg/m(2)). Correlated genera were compared in RYGB (n = 23 (16 F), 41-70 years, BMI 25-62 kg/m(2)) and control patients (n = 17 (11 F), 26-69 years, BMI 25-48 kg/m(2)). In young adults, 7 bacteria genera, i.e., Alistipes, Blautia, Clostridiales cluster XVIII, Gemmiger, Roseburia, Ruminococcus, and Streptococcus, correlated with healthier eating behavior, while 5 genera, i.e., Clostridiales cluster IV and XIVb, Collinsella, Fusicatenibacter, and Parabacteroides, correlated with unhealthier eating (all | r | > 0.4, FDR-corrected p < 0.05). Some of these genera including Parabacteroides related to fiber intake and SCFA, and to weight status and treatment response in overweight/obese patients. In this exploratory analysis, specific bacterial genera, particularly Parabacteroides, were associated with weight status and eating behavior in two small, independent and well-characterized cross-sectional samples. These preliminary findings suggest two groups of presumably beneficial and unfavorable genera that relate to eating behavior and weight status, and indicate that dietary fiber and SCFA metabolism may modify these relationships. Larger interventional studies are needed to distinguish correlation from causation.Peer reviewe

Unveiling spatial complexity in solid tumor immune microenvironments through multiplexed imaging.

Deciphering cellular components and the spatial interaction network of the tumor immune microenvironment (TIME) of solid tumors is pivotal for understanding biologically relevant cross-talks and, ultimately, advancing therapies. Multiplexed tissue imaging provides a powerful tool to elucidate spatial complexity in a holistic manner. We established and cross-validated a comprehensive immunophenotyping panel comprising over 121 markers for multiplexed tissue imaging using MACSima™ imaging cyclic staining (MICS) alongside an end-to-end analysis workflow. Applying this panel and workflow to primary cancer tissues, we characterized tumor heterogeneity, investigated potential therapeutical targets, conducted in-depth profiling of cell types and states, sub-phenotyped T cells within the TIME, and scrutinized cellular neighborhoods of diverse T cell subsets. Our findings highlight the advantage of spatial profiling, revealing immunosuppressive molecular signatures of tumor-associated myeloid cells interacting with neighboring exhausted, PD1high T cells in the TIME of hepatocellular carcinoma (HCC). This study establishes a robust framework for spatial exploration of TIMEs in solid tumors and underscores the potency of multiplexed tissue imaging and ultra-deep cell phenotyping in unraveling clinically relevant tumor components

Table_3_Unveiling spatial complexity in solid tumor immune microenvironments through multiplexed imaging.docx

Deciphering cellular components and the spatial interaction network of the tumor immune microenvironment (TIME) of solid tumors is pivotal for understanding biologically relevant cross-talks and, ultimately, advancing therapies. Multiplexed tissue imaging provides a powerful tool to elucidate spatial complexity in a holistic manner. We established and cross-validated a comprehensive immunophenotyping panel comprising over 121 markers for multiplexed tissue imaging using MACSima™ imaging cyclic staining (MICS) alongside an end-to-end analysis workflow. Applying this panel and workflow to primary cancer tissues, we characterized tumor heterogeneity, investigated potential therapeutical targets, conducted in-depth profiling of cell types and states, sub-phenotyped T cells within the TIME, and scrutinized cellular neighborhoods of diverse T cell subsets. Our findings highlight the advantage of spatial profiling, revealing immunosuppressive molecular signatures of tumor-associated myeloid cells interacting with neighboring exhausted, PD1high T cells in the TIME of hepatocellular carcinoma (HCC). This study establishes a robust framework for spatial exploration of TIMEs in solid tumors and underscores the potency of multiplexed tissue imaging and ultra-deep cell phenotyping in unraveling clinically relevant tumor components.</p

Table_1_Unveiling spatial complexity in solid tumor immune microenvironments through multiplexed imaging.docx

Deciphering cellular components and the spatial interaction network of the tumor immune microenvironment (TIME) of solid tumors is pivotal for understanding biologically relevant cross-talks and, ultimately, advancing therapies. Multiplexed tissue imaging provides a powerful tool to elucidate spatial complexity in a holistic manner. We established and cross-validated a comprehensive immunophenotyping panel comprising over 121 markers for multiplexed tissue imaging using MACSima™ imaging cyclic staining (MICS) alongside an end-to-end analysis workflow. Applying this panel and workflow to primary cancer tissues, we characterized tumor heterogeneity, investigated potential therapeutical targets, conducted in-depth profiling of cell types and states, sub-phenotyped T cells within the TIME, and scrutinized cellular neighborhoods of diverse T cell subsets. Our findings highlight the advantage of spatial profiling, revealing immunosuppressive molecular signatures of tumor-associated myeloid cells interacting with neighboring exhausted, PD1high T cells in the TIME of hepatocellular carcinoma (HCC). This study establishes a robust framework for spatial exploration of TIMEs in solid tumors and underscores the potency of multiplexed tissue imaging and ultra-deep cell phenotyping in unraveling clinically relevant tumor components.</p

Image_4_Unveiling spatial complexity in solid tumor immune microenvironments through multiplexed imaging.pdf

Deciphering cellular components and the spatial interaction network of the tumor immune microenvironment (TIME) of solid tumors is pivotal for understanding biologically relevant cross-talks and, ultimately, advancing therapies. Multiplexed tissue imaging provides a powerful tool to elucidate spatial complexity in a holistic manner. We established and cross-validated a comprehensive immunophenotyping panel comprising over 121 markers for multiplexed tissue imaging using MACSima™ imaging cyclic staining (MICS) alongside an end-to-end analysis workflow. Applying this panel and workflow to primary cancer tissues, we characterized tumor heterogeneity, investigated potential therapeutical targets, conducted in-depth profiling of cell types and states, sub-phenotyped T cells within the TIME, and scrutinized cellular neighborhoods of diverse T cell subsets. Our findings highlight the advantage of spatial profiling, revealing immunosuppressive molecular signatures of tumor-associated myeloid cells interacting with neighboring exhausted, PD1high T cells in the TIME of hepatocellular carcinoma (HCC). This study establishes a robust framework for spatial exploration of TIMEs in solid tumors and underscores the potency of multiplexed tissue imaging and ultra-deep cell phenotyping in unraveling clinically relevant tumor components.</p

Image_2_Unveiling spatial complexity in solid tumor immune microenvironments through multiplexed imaging.pdf

Deciphering cellular components and the spatial interaction network of the tumor immune microenvironment (TIME) of solid tumors is pivotal for understanding biologically relevant cross-talks and, ultimately, advancing therapies. Multiplexed tissue imaging provides a powerful tool to elucidate spatial complexity in a holistic manner. We established and cross-validated a comprehensive immunophenotyping panel comprising over 121 markers for multiplexed tissue imaging using MACSima™ imaging cyclic staining (MICS) alongside an end-to-end analysis workflow. Applying this panel and workflow to primary cancer tissues, we characterized tumor heterogeneity, investigated potential therapeutical targets, conducted in-depth profiling of cell types and states, sub-phenotyped T cells within the TIME, and scrutinized cellular neighborhoods of diverse T cell subsets. Our findings highlight the advantage of spatial profiling, revealing immunosuppressive molecular signatures of tumor-associated myeloid cells interacting with neighboring exhausted, PD1high T cells in the TIME of hepatocellular carcinoma (HCC). This study establishes a robust framework for spatial exploration of TIMEs in solid tumors and underscores the potency of multiplexed tissue imaging and ultra-deep cell phenotyping in unraveling clinically relevant tumor components.</p

Image_1_Unveiling spatial complexity in solid tumor immune microenvironments through multiplexed imaging.pdf

Deciphering cellular components and the spatial interaction network of the tumor immune microenvironment (TIME) of solid tumors is pivotal for understanding biologically relevant cross-talks and, ultimately, advancing therapies. Multiplexed tissue imaging provides a powerful tool to elucidate spatial complexity in a holistic manner. We established and cross-validated a comprehensive immunophenotyping panel comprising over 121 markers for multiplexed tissue imaging using MACSima™ imaging cyclic staining (MICS) alongside an end-to-end analysis workflow. Applying this panel and workflow to primary cancer tissues, we characterized tumor heterogeneity, investigated potential therapeutical targets, conducted in-depth profiling of cell types and states, sub-phenotyped T cells within the TIME, and scrutinized cellular neighborhoods of diverse T cell subsets. Our findings highlight the advantage of spatial profiling, revealing immunosuppressive molecular signatures of tumor-associated myeloid cells interacting with neighboring exhausted, PD1high T cells in the TIME of hepatocellular carcinoma (HCC). This study establishes a robust framework for spatial exploration of TIMEs in solid tumors and underscores the potency of multiplexed tissue imaging and ultra-deep cell phenotyping in unraveling clinically relevant tumor components.</p

Image_5_Unveiling spatial complexity in solid tumor immune microenvironments through multiplexed imaging.pdf

Deciphering cellular components and the spatial interaction network of the tumor immune microenvironment (TIME) of solid tumors is pivotal for understanding biologically relevant cross-talks and, ultimately, advancing therapies. Multiplexed tissue imaging provides a powerful tool to elucidate spatial complexity in a holistic manner. We established and cross-validated a comprehensive immunophenotyping panel comprising over 121 markers for multiplexed tissue imaging using MACSima™ imaging cyclic staining (MICS) alongside an end-to-end analysis workflow. Applying this panel and workflow to primary cancer tissues, we characterized tumor heterogeneity, investigated potential therapeutical targets, conducted in-depth profiling of cell types and states, sub-phenotyped T cells within the TIME, and scrutinized cellular neighborhoods of diverse T cell subsets. Our findings highlight the advantage of spatial profiling, revealing immunosuppressive molecular signatures of tumor-associated myeloid cells interacting with neighboring exhausted, PD1high T cells in the TIME of hepatocellular carcinoma (HCC). This study establishes a robust framework for spatial exploration of TIMEs in solid tumors and underscores the potency of multiplexed tissue imaging and ultra-deep cell phenotyping in unraveling clinically relevant tumor components.</p