Dataset Information

APE1 INTERACTOME - Architecture of The Human Ape1 Interactome Defines Novel Cancers Signatures

ABSTRACT: The present work aimed at defining the association of the APE1-protein-protein interactions network in modulating its role in tumor progression and chemoresistance through proteomic and bionformatic analyses

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: CHIARA D'AMBROSIO

LAB HEAD: Andrea Scaloni

PROVIDER: PXD013368 | Pride | 2020-01-16

REPOSITORIES: Pride

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Publications

Architecture of The Human Ape1 Interactome Defines Novel Cancers Signatures.

Ayyildiz Dilara D Antoniali Giulia G D'Ambrosio Chiara C Mangiapane Giovanna G Dalla Emiliano E Scaloni Andrea A Tell Gianluca G Piazza Silvano S

Scientific reports 20200108 1

APE1 is essential in cancer cells due to its central role in the Base Excision Repair pathway of DNA lesions and in the transcriptional regulation of genes involved in tumor progression/chemoresistance. Indeed, APE1 overexpression correlates with chemoresistance in more aggressive cancers, and APE1 protein-protein interactions (PPIs) specifically modulate different protein functions in cancer cells. Although important, a detailed investigation on the nature and function of protein interactors re ...[more]

PMID: 31913336

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Project description:The crucial role of nutrition for cerebral health and the impact of dietary habits on brain structure and function have been long far recognized. To date a major health concern is associated with the increased consumption of fructose as added sugar in many types of drinks and processed foods, especially among young people. High-fructose intake has been pointed out as the possible culprit for the raised incidence of chronic diseases, such as obesity, cardiovascular disease, nonalcoholic fatty liver disease, and type 2 diabete. Further, it has been reported that high-fructose intake is associated with the over-activation of its cerebral metabolism, which was proposed to negatively impact on whole brain physiology and cognitive function. Notably, we previously reported that short-term fructose-rich diet induces mitochondrial dysfunction, oxidative stress, and neuroinflammation in hippocampus of young rats, as well as the imbalance of redox homeostasis, autophagic mechanisms and representation of synaptic markers in frontal cortex of both adult and young rats. Animal studies have also revealed the damaging effect of high-fructose diets on hippocampal functions during periods of neurocognitive development, such as childhood and adolescence. Hypothalamus plays a crucial role in maintaining whole body homeostasis. Long-term fructose overfeeding was reported to alter hypothalamic-pituitary-adrenal axis, leading to elevations in glucocorticoids in peri-adolescent rats [22]. Further, fructose overconsumption was associated with impairment of hypothalamic insulin signalling, oxidative stress and inflammation , and it was proposed that fructose-driven perturbations of hypothalamic function may compromise the potential for satiety, thereby increasing the prospect of developing obesity. Data currently available on hypothalamic dysfunctions related to a high-fructose diet essentially refer to the effects of long-term sugar feeding, while information on corresponding alterations associated with a short-term dietary treatment, particularly in the critical period of adolescence, is still lacking. Due to complexity and multiplicity of hypothalamic functions, there is also the need for a holistic characterization aimed at unveiling the general picture of hypothalamic dysfunctions associated with a high-fructose diet. To fill this gap, we investigated adolescent rats fed a fructose-rich or control diet, for 3 weeks. To verify whether the fructose-driven changes are rescued after the switch to a control diet, half of the rats from both animal groups were then fed a control diet for additional 3 weeks until young adulthood phase. Quantitative proteomics on hypothalamic extracts of all animal groups was used to identify molecular alterations triggered by fructose-rich diet and to obtain insights into the relationship between sugar feeding and possible dysfunctions of hypothalamus.

Project description:To examine the effect of wtAPE1 and ubiquitin-APE1 fusion proteins on global gene expression. Total RNA from HEK293 derivatives that express vector alone (ctl), wt-APE1, or ubiquitin-APE1 fusion in the presence of doxycycline were analyzed. Three HEK293 derivatives expressing none (vector), wtAPE1, or Ub-APE1 fusion linked at APE1's 24th Lys were incubated with/without doxycycline (dox) 2 Âµg/ml for 16 hr. Each -/+ dox cultures were triplicated. Total RNA was extracted (Qiagen) and then analyzed by LSU's bioinformatics core. The quality and quantity of total RNA was assessed using an ND-1000 Spectrophometer (NanoDrop, Wilmington, DE), NanoChip assay and Bioanalyzer 2100 (Agilent). All samples were of high integrity with RIN # greater than 7 and A260/280 greater than 1.8. Procedures for cDNA synthesis, sense target labeling, and hybridization were carried out as described at http://media.affymetrix.com/support/technical/appnotes/wt_appnote.pdf (Affymetrix, Redwood City, CA). All experiments were performed using GeneChip Exon 1.0 ST Arrays and Whole Transcript Sense Target labeling Assay (version 4, Affymetrix). Overnight hybridization of fragmented single-stranded DNA was carried out in an Affymetrix GeneChip Hybridization Oven 640, then washed and stained with streptavidin-phycoerythrin using GeneChip 450 Microfluidics Station (Affymetrix). Chips were scanned with an Affymetrix High Resolution 3000 (G7) scanner. Signal and background intensities were quantitated by pixel intensity using Affymetrix GeneChip Operating Software (GCOS 1.4). Array quality control assessment was carried out using Robust Multi-chip Analysis (RMA) workflow for Core probesets in Expression Console (Affymetrix). Gene-level analysis for differential gene expression was analyzed in GeneSpring 7.3x (Agilent Technologies) using the sample CHP files. The RMA method was used for the background correction, normalization and average expression measures for the probesets. An expression filter (20th percentile cutoff) was applied to remove genes with low signal intensity values. For differential gene expression analysis, the Welch ANOVA test with asymptotic p-value computation was applied and transcripts with p-value (< 0.05) and fold change (2.0 fold) were selected. Three cell lines (HEK293/pcDNA-FRT empty vector, HEK293/pcDNA-FRT wtAPE1, HEK293/pcDNA-FRT ubAPE1), +/- 2Âµg/ml doxycycline for 16 h. Triplicates of each cell line/condition. Replicates were averaged.

Dataset Information

APE1 INTERACTOME - Architecture of The Human Ape1 Interactome Defines Novel Cancers Signatures

Publications

Architecture of The Human Ape1 Interactome Defines Novel Cancers Signatures.

Similar Datasets

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