Amino acid starvation sensitizes cancer cells to proteasome inhibition

We explored the crosstalk between protein degradation and synthesis in cancer cells. The tumorigenic cell line, MCF7, showed enhanced proteasome activity compared to the nontumorigenic line, MCF10A. Although there was no difference in the sensitivity of MCF7 and MCF10A cells to proteasome inhibition in complete growth medium, combining proteasome inhibition with amino acid deprivation led to reduced protein synthesis and survival of MCF7 cells, with a lesser effect on MCF10A cells. Additional cancer cell lines (including CAG and A431) could be strongly sensitized to proteasome inhibition by concomitant amino acid deprivation, whereas others were completely resistant to proteasome inhibition. We hypothesize that protein catabolism contributes to the pool of free amino acids available for protein synthesis, leading to a crucial role of the proteasome in cell survival during amino acid depletion, in some tumor cell lines.     

Emergence of Small-World Anatomical Networks in Self-Organizing Clustered Neuronal Cultures

In vitro primary cultures of dissociated invertebrate neurons from locust ganglia are used to experimentally investigate the morphological evolution of assemblies of living neurons, as they self-organize from collections of separated cells into elaborated, clustered, networks. At all the different stages of the culture''s development, identification of neurons'' and neurites'' location by means of a dedicated software allows to ultimately extract an adjacency matrix from each image of the culture. In turn, a systematic statistical analysis of a group of topological observables grants us the possibility of quantifying and tracking the progression of the main network''s characteristics during the self-organization process of the culture. Our results point to the existence of a particular state corresponding to a small-world network configuration, in which several relevant graph''s micro- and meso-scale properties emerge. Finally, we identify the main physical processes ruling the culture''s morphological transformations, and embed them into a simplified growth model qualitatively reproducing the overall set of experimental observations.     

CT-based radiomics model with machine learning for predicting primary treatment failure in diffuse large B-cell Lymphoma

Biomarkers which can identify Diffuse Large B-Cell Lymphoma (DLBCL) likely to be refractory to first-line therapy are essential for selecting this population prior to therapy initiation to offer alternate therapeutic options that can improve prognosis. We tested the ability of a CT-based radiomics approach with machine learning to predict Primary Treatment Failure (PTF)-DLBCL from initial imaging evaluation. Twenty-six refractory patients were matched to 26 non-refractory patients, yielding 180 lymph nodes for analysis. Manual 3D delineation of the total node volume was performed by two independent readers to test the reproducibility. Then, 1218 hand-crafted radiomic features were extracted. The Random Forests machine learning approach was used as a classifier for constructing the prediction models. Seventy percent of the nodes were randomly assigned to a training set and the remaining 30% were assigned to an independent test set. The final model was tested on the dataset from the 2 readers, showing a mean accuracy, sensitivity and specificity of 73%, 62% and 82%, respectively, for distinguishing between refractory and non-refractory patients. The area under the receiver operating characteristic curve (AUC) was 0.83 and 0.79 for the two readers. We conclude that machine learning CT-based radiomics analysis is able to identify a priori PTF-DLBCL with a good accuracy.     

Behavioral analysis ofDrosophila mutants displaying abnormal male courtship

We describe six recessive autosomal male sterile mutations inDrosophila, generated by mobilization of single P-elements, exhibiting abnormal male courtship behavior. Detailed analysis of courtship behavior elicited by virgin wild type females indicated that five of the six mutants are affected in the early steps of courtship. The sixth mutant is blocked at the step of attempted copulation which occurs later in the courtship sequence. All of the mutants have normal olfactory responses and normal locomotor activity. No defect in the visual modality has been observed for the five mutants affected in the initiation of courtship. The mutant blocked at attempted copulation lacks the ‘on’ and ‘off’ transients, but this appears to be due to genetic background rather than the mutation itself. Abnormal spermatogenesis was observed in five of the mutants. Spermatogenic defects vary and include lesions in the proliferation of the germline, in meiosis, and in the differentiation and maturation of the spermatids into motile sperm.     

Up-regulation of AMP-activated protein kinase in cancer cell lines is mediated through c-Src activation

We report that the activation level of AMP-dependent protein kinase AMPK is elevated in cancer cell lines as a hallmark of their transformed state. In OVCAR3 and A431 cells, c-Src signals through protein kinase Cα, phospholipase Cγ, and LKB1 to AMPK. AMPK controls internal ribosome entry site (IRES) dependent translation in these cells. We suggest that AMPK activation via PKC might be a general mechanism to regulate IRES-dependent translation in cancer cells.     

Evidence for rolling circle replication of tandem genes in Drosophila

Extrachromosomal circular DNA (eccDNA) is one characteristic of the plasticity of the eukaryotic genome. It is found in various organisms and contains sequences derived primarily from repetitive chromosomal DNA. Using 2D gel electrophoresis, we have previously detected eccDNA composed of chromosomal tandem repeats throughout the life cycle of Drosophila. Here, we report for the first time evidence suggesting the occurrence of rolling circle replication of eccDNA in Drosophila. We show, on 2D gels, specific structures that can be enriched by benzoylated naphthoylated DEAE-cellulose chromatography and were identified in other systems as rolling circle intermediates (RCIs). These RCIs are homologous to histone genes, Stellate and Suppressor of Stellate, which are all organized in the chromosomes as tandem repeats. RCIs are detected throughout the life cycle of Drosophila and in cultured fly cells. These structures are found regardless of the expression of the replicated gene or of its chromosomal copy number.