BVES is a novel interactor of ANO5 and regulates myoblast differentiation

Background Anoctamin 5 (ANO5) is a membrane protein belonging to the TMEM16/Anoctamin family and its deficiency leads to the development of limb girdle muscular dystrophy R12 (LGMDR12). However, little has been known about the interactome of ANO5 and its cellular functions. Results In this study, we exploited a proximal labeling approach to identify the interacting proteins of ANO5 in C2C12 myoblasts stably expressing ANO5 tagged with BioID2. Mass spectrometry identified 41 unique proteins including BVES and POPDC3 specifically from ANO5-BioID2 samples, but not from BioID2 fused with ANO6 or MG53. The interaction between ANO5 and BVES was further confirmed by co-immunoprecipitation (Co-IP), and the N-terminus of ANO5 mediated the interaction with the C-terminus of BVES. ANO5 and BVES were co-localized in muscle cells and enriched at the endoplasmic reticulum (ER) membrane. Genome editing-mediated ANO5 or BVES disruption significantly suppressed C2C12 myoblast differentiation with little impact on proliferation. Conclusions Taken together, these data suggest that BVES is a novel interacting protein of ANO5, involved in regulation of muscle differentiation.

Automated Ground Truth Generation for Learning-Based Crack Detection on Concrete Surfaces

This article introduces an automated data-labeling approach for generating crack ground truths (GTs) within concrete images. The main algorithm includes generating first-round GTs, pre-training a deep learning-based model, and generating second-round GTs. On the basis of the generated second-round GTs of the training data, a learning-based crack detection model can be trained in a self-supervised manner. The pre-trained deep learning-based model is effective for crack detection after it is re-trained using the second-round GTs. The main contribution of this study is the proposal of an automated GT generation process for training a crack detection model at the pixel level. Experimental results show that the second-round GTs are similar to manually marked labels. Accordingly, the cost of implementing learning-based methods is reduced significantly because data labeling by humans is not necessitated.

­­BVES Is a Novel Interactor of ANO5 and Regulates Myoblast Differentiation

Background: Anoctamin 5 (ANO5) is a membrane protein belonging to the TMEM16/Anoctamin family and its deficiency leads to the development of limb girdle muscular dystrophy R12 (LGMDR12). However, little has been known about the interactome of ANO5 and its cellular functions. Results: In this study, we exploited a proximal labeling approach to identify the interacting proteins of ANO5 in C2C12 myoblasts stably expressing ANO5 tagged with BioID2. Mass spectrometry identified 41 unique proteins specifically from ANO5-BioID2 samples but not BioID2 fused with ANO6 or MG53, including BVES and POPDC3. The interaction between ANO5 and BVES was further confirmed by co-immunoprecipitation (Co-IP), and the N-terminus of ANO5 mediated the interaction with BVES through its C-terminus. ANO5 and BVES were co-localized in muscle cells and enriched at the endoplasmic reticulum (ER) membrane. Genome editing-mediated ANO5 or BVES disruption significantly suppressed C2C12 myoblast differentiation with little impact on proliferation. Conclusions:Taken together, these data suggest that BVES is a novel interacting protein of ANO5, involved in regulation of muscle differentiation.

Theorien abweichenden Verhaltens I - "Klassische Ansätze"

Abweichende und kriminelle Handlungen gewinnen wissenschaftlich und gesellschaftlich an Bedeutung. Gewalt an Schulen, terroristische Aktionen oder Kindstötungen sind nur einige extreme Beispiele hierfür. Siegfried Lamneks bewährtes Standardwerk gibt eine Einführung in die klassischen Theorien abweichenden Verhaltens. Das Buch behandelt die wichtigsten soziologischen Erklärungsversuche. Anomietheorie, Subkulturtheorie, Theorie der differentiellen Assoziation und Labeling Approach werden in den Nuancierungen und Schattierungen ihrer historischen Entwicklung so nachgezeichnet, dass sich der Leser einen umfassenden und doch schnellen Überblick verschaffen kann. Dieser Band ist ein ideales Lehrbuch für alle Studierenden, deren Studium sozialwissenschaftliche Anteile im Haupt- oder Nebenfach beinhaltet. Er wird ergänzt durch die 4. Auflage (2017) von „Theorien abweichenden Verhaltens II: ‚Moderne‘ Ansätze“ (utb 1774).

OS08.5.A Proteomic analysis of meningioma

BACKGROUND Meningioma is the most common primary intracranial tumor. Although ~80% are benign some WHO grade I are clinically aggressive. Chemotherapies are ineffective and biomarkers for clinical management are lacking. Approximately 60% sporadic meningiomas harbor mutations in the NF2 gene andutations in TRAF7, KLF4, AKT1, SMO and PIK3CA have been identified in the majority NF2-positive tumors esp lower grade. However, the molecular mechanisms behind meningioma tumourigenesis is still unclear. We aim to identify novel biomarkers and therapeutic targets of meningioma by characterizing the proteomic landscape. MATERIAL AND METHODS We analysed grade I, II and III frozen meningioma specimens and three different mutational groups: AKT1/TRAF7, KLF4/TRAF7 and NF2 -/- using LC-MS/MS to analyse global proteins, enriched phosphoproteins and phosphopeptides. Differential expression and functional annotation of proteins was completed using Perseus, IPA® and DAVID. For mutational subtypes quantitative phosphoproteomics was performed using TMT 10plex labeling approach followed by motif analysis using motif-X algorithm. We validated differential expression of proteins and phosphoproteins by Western blot and immunohistochemistry. RESULTS We quantified 3888 proteins and 3074 phosphoproteins across all meningioma grades. Bioinformatics analysis revealed commonly upregulated (phospho)proteins to be enriched in Gene Ontology terms associated with RNA metabolism. Validation confirmed significant overexpression of proteins such as EGFR, CKAP4, the nuclear proto-oncogene SET, the splicing factor SF2/ASF as well as total and activated phosphorylated form of the NIMA-related kinase, NEK9, involved in mitotic progression. Hexokinase 2 was overexpressed in higher grades. For the mutation subtypes we have quantified 4162 proteins across all mutational meningioma subgroups. Analysis showed distinct proteomic profiles of mutational subgroups. Comparative analysis showed 10 proteins were commonly significantly upregulated among all mutational subtypes vs. normal meninges. 257 proteins were commonly significantly downregulated and enriched with molecular functions including aldehyde dehydrogenase and oxido-reductase. Mutational subtype-specific analysis identified 162 proteins significantly upregulated in AKT1/TRAF7 vs. remaining sample groups to be enriched in the oxidative phosphorylation pathway. 14 and 7 proteins were commonly significantly upregulated in KLF4/TRAF7 and NF2 -/- mutant meningioma subtypes respectively. Several of these up-regulated proteins including ANNEXIN-3, CRABP2, CLIC3 and Endoglin were verified via WB. Lastly, analyses of 6600 phosphosites predicted regulatory kinases CONCLUSION We show extensive proteomic and phospophoproteomics analysis of meningioma and suggest new therapeutic and biomarker candidates.