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Junghanss, C.

Publications and source records attributed to Junghanss, C..

3 recordsLinked to original sources

Unraveling the heterogeneous mutational signature of spontaneously developing tumors in MLH1-/- mice

MLH1 knock out mice represent a preclinical model that resembles features of the human counterpart. As these mice develop mismatch repair deficient (MMR-D) neoplasias in a sequential twin-peaked manner (first lymphomas, then gastrointestinal tumors) we aimed at identification of the underlying molecular mechanisms. Using whole-exome sequencing, we focused on (I) shared and (II) mutually exclusive mutations and described the processes of ongoing mutational events in tumor-derived cultures.\n\nA heterogeneous genetic landscape was found, with few mutations shared among different neoplasias (ARID1A and IDH2). Mutations in tumor suppressor genes SMAD4 and POLE were mutually exclusive in lymphomas, most likely contributing to a more aggressive in vivo phenotype. Comparing the mutational profile of selected primary tumors and their corresponding cell line upon in vitro culture revealed continuous increased numbers of somatic gene mutations. The same was true for coding microsatellite mutations in selected MMR-D target genes, showing a gradual increase during in vitro passage. With respect to this latter type of mutations, partial overlap was detectable, yet recognizing shared vaccination antigens. The two most promising candidates are AKT3, a RAC-gamma serine/threonine-protein kinase with relevance in maintenance of cellular homeostasis and the endonuclease ERCC5 (Excision Repair 5), involved in DNA excision repair.\n\nNovel results of a comparison between spontaneously developing lymphomas and gastrointestinal tumors as models for MMR-D driven tumorigenesis are reported. In addition to identification of ARID1A as a potentially causative mutation hotspot, our comprehensive characterization of the mutational signature is a starting point for immune-based approaches to therapy.\n\nAuthor SummaryThis study describes the mutational spectrum of MLH1-/--associated tumors, spontaneously developing in mice. While these tumors arise at the bottom of the same germline mutation, the clinical presentations as well as resulting molecular alterations are heterogeneous, and thus likely being directly linked. Highly aggressive lymphomas, developing early in life are ultra-hypermutated and harbor mutations in tumor suppressor genes SMAD4 and POLE. Gastrointestinal tumors develop later in life and show different mutations. By performing in-depth whole exome sequencing analysis, we here identified for the first time a common mutational hotspot. ARID1A constitutes a potentially causative mutation, shared among different MLH1-/--associated tumors and thus irrespective of the origin. Additional interesting and identified candidate genes include AKT3, a RAC-gamma serine/threonine-protein kinase and the endonuclease ERCC5. Both genes are bona fide tumor suppressors with significant relevance in DNA excision repair and maintenance of cellular homeostasis. This finding is of particular relevance for subsequent therapeutic and - even more important - prophylactic vaccination approaches aiming at entity-overlapping treatment of MLH1-/--related tumors.

cancer biology↗

Pathway maps enable straightforward yet customized and semi-automated yet insightful analyses of omics data

To explore the molecular processes underlying some biological theme of interest based on public data, gene lists are used herein as input for the construction of annotated pathway maps, employing Cytoscape apps, and then high-throughput (\"omics\") gene expression data are overlaid onto these maps. Seeded with a published set of marker genes of the senescence-associated secretory phenotype and the genes of the cellular senescence KEGG pathway, a gene/protein interaction network and annotated clusters (a \"pathway map\") of cellular senescence are derived. The map can be amended, by adding some application-specific genes, and overlaid with gene expression data describing cellular senescence of fibroblasts and with disease-related gene expression data associated with prostate and pancreatic cancer, and with ischemic stroke, allowing insights into the role of cellular senescence in disease. Some gene expression data are derived from the \"Biomarker Benchmark repository\". The pathway map approach can be followed in principle for any biological theme of interest, fostering much-needed independence from the investigator-biased expert networks usually used for overlaying gene expression data.

genomics↗

Healthspan pathway maps in C. elegans and humans highlight transcription, prolifera-tion/biosynthesis and lipids

The molecular basis of aging and of aging-associated diseases is being unraveled at an increasing pace. An extended healthspan, and not merely an extension of lifespan, has become the aim of medical practice. However, a precise definition of health and healthspan is not straightforward, and the causal molecular basis of health \"per se\" is largely unknown. Here, we define health based on the absence of diseases and dysfunctions. Based on an extensive review of the literature, in particular for humans and C. elegans, we compile a list of features of health and of the genes associated with them. Clusters of these genes based on molecular interaction data give rise to maps of healthspan pathways for humans, featuring the themes transcription initiation, proliferation and cholesterol/lipid processing, and for C. elegans, featuring the themes immune response, mitochondrion and biosynthesis based on genetic and compound intervention data, and lipids, biosynthesis and transcription based on WormBase compound intervention data. Overlaying healthspan-related gene expression data (describing effects of metabolic intervention associated with improvements in health) onto the aforementioned healthspan pathway maps, we observe the downregulation of Notch signalling in humans and of proliferation/cell-cycle in C. elegans. The former reflects the proinflammatory role of the Notch pathway. We identify transcription, proliferation/biosynthesis and lipids as a common theme on the annotation level, and proliferation-related kinases on the gene/protein level. Our literature-based data corpus, including visualization, is available as a reference for future investigations, at http://www.h2020awe.eu/index.php/pathways/.

bioinformatics↗