instruction:
In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
question:
Context: The PINK1-Parkin pathway is known to play important roles in regulating mitochondria dynamics, motility, and quality control. Activation of this pathway can be triggered by a variety of cellular stress signals that cause mitochondrial damage. How this pathway senses different levels of mitochondrial damage and mediates cell fate decisions accordingly is incompletely understood.', 'Here, we present evidence that PINK1-Parkin has both cytoprotective and proapoptotic functions. PINK1-Parkin operates as a molecular switch to dictate cell fate decisions in response to different cellular stressors. Cells exposed to severe and irreparable mitochondrial damage agents such as valinomycin can undergo PINK1-Parkin-dependent apoptosis. The proapoptotic response elicited by valinomycin is associated with the degradation of Mcl-1. PINK1 directly phosphorylates Parkin at Ser65 of its Ubl domain and triggers activation of its E3 ligase activity through an autocatalytic mechanism that amplifies its E3 ligase activity toward Mcl-1.\Question: Does pINK1 trigger autocatalytic activation of Parkin to specify cell fate decisions?
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Autocatalytic activation of Parkin bolsters its accumulation on mitochondria and apoptotic response to valinomycin. Our results suggest that PINK1-Parkin constitutes a damage-gated molecular switch that governs cellular-context-specific cell fate decisions in response to variable stress stimuli.


question:
Context: Both obesity and type 2 diabetes are among the risk factors for breast cancer development. Combined effect of these metabolic abnormalities on breast cancer risk however, has not been examined in premenopausal women. We tested this association in type 2 diabetic women, categorized as obese, overweight and normal body weight groups based on BMI.', 'A total of 101 subjects were included in this study. Serum levels of IL-6, TNF-alpha, C reactive protein, leptin, TGF-alpha, adiponectin and insulin were measured by ELISA. Data were logarithmically transformed for variables not normally distributed. Analysis of variance with post-hoc Bonferroni was applied to compare the data between the groups. Simple and partial correlation coefficients between the variables were determined and a stepwise multiple linear regression analysis was performed to determine the relationships between the variables of interest.', 'Significantly increased levels of IL-6, C reactive protein, leptin and significantly decreased levels of adiponectin were found in obese group, while the levels of TNF-alpha and TGF-alpha were unaltered. A positive correlation between waist circumference and IL-6 was found in obese group. Similarly, C reactive protein, waist and hip circumferences were linearly correlated with BMI in obese group. Stepwise multiple linear regression analysis revealed several significant predictors for breast cancer risk.\Question: Do combined effects of obesity and type 2 diabetes contribute to increased breast cancer risk in premenopausal women?
answer:
Obesity and type 2 diabetes, owing to their effects on adipocytokines and inflammatory mediators, contribute to increased breast cancer risk in premenopausal women. This study emphasizes healthy life style and better management of these metabolic disorders to avoid the pathogenesis of breast cancer and of other chronic diseases.


question:
Context: Genomic islands are regions of bacterial genomes that have been acquired by horizontal transfer and often contain blocks of genes that function together for specific processes. Recently, it has become clear that the impact of genomic islands on the evolution of different bacterial species is significant and represents a major force in establishing bacterial genomic variation. However, the study of genomic island evolution has been mostly performed at the sequence level using computer software or hybridization analysis to compare different bacterial genomic sequences. We describe here a novel experimental approach to study the evolution of species-specific bacterial genomic islands that identifies island genes that have evolved in such a way that they are differentially-expressed depending on the bacterial host background into which they are transferred.', 'We demonstrate this approach by using a "test" genomic island that we have cloned from the Salmonella typhimurium genome (island 4305) and transferred to a range of Gram negative bacterial hosts of differing evolutionary relationships to S. typhimurium. Systematic analysis of the expression of the island genes in the different hosts compared to proper controls allowed identification of genes with genera-specific expression patterns. The data from the analysis can be arranged in a matrix to give an expression "array" of the island genes in the different bacterial backgrounds. A conserved 19-bp DNA site was found upstream of at least two of the differentially-expressed island genes. To our knowledge, this is the first systematic analysis of horizontally-transferred genomic island gene expression in a broad range of Gram negative hosts. We also present evidence in this study that the IS200 element found in island 4305 in S. typhimurium strain LT2 was inserted after the island had already been acquired by the S. typhimurium lineage and that this element is likely not involved in the integration or excision of island 4305.\Question: Does a new experimental approach for studying bacterial genomic island evolution identify island genes with bacterial host-specific expression patterns?
answer:

The "clone-and-transfer" approach of evolutionary study identifies genes whose expression patterns indicate the existence of genera-specific regulatory mechanisms that influence the expression of horizontally-transferred DNA sections. The results provide key information that can be used to facilitate the identification of these regulatory mechanisms.