Dataset Information

Functional genomics of AP-2? and AP-2? in cancers: in silico study.

ABSTRACT: BACKGROUND:Among all causes of death, cancer is the most prevalent and is only outpaced by cardiovascular diseases. Molecular theory of carcinogenesis states that apoptosis and proliferation are regulated by groups of tumor suppressors or oncogenes. Transcription factors are example of proteins comprising representatives of both cancer-related groups. Exemplary family of transcription factors which exhibits dualism of function is Activating enhancer-binding Protein 2 (AP-2). Scientific reports concerning their function in carcinogenesis depend on particular family member and/or tumor type which proves the issue to be unsolved. Therefore, the present study examines role of the best-described AP-2 representatives, AP-2? and AP-2?, through ontological analysis of their target genes and investigation what processes are differentially regulated in 21 cancers using samples deposited in Genomic Data Analysis Center (GDAC) Firehose. METHODS:Expression data with clinical annotation was collected from TCGA-dedicated repository GDAC Firehose. Transcription factor targets were obtained from Gene Transcription Regulation Database (GTRD), TRANScription FACtor database (TRANSFAC) and Transcriptional Regulatory Relationships Unraveled by Sentence-based Text mining (TRRUST). Monocle3 R package was used for global samples profiling while Protein ANalysis THrough Evolutionary Relationships (PANTHER) tool was used to perform gene ontology analysis. RESULTS:With RNA-seq data and Monocle3 or PANTHER tools we outlined differences in many processes and signaling pathways, separating tumor from normal tissues or tumors from each other. Unexpectedly, a number of alterations in basal-like breast cancer were identified that distinguished it from other subtypes, which could bring future clinical benefits. CONCLUSIONS:Our findings indicate that while the AP-2?/? role remains ambiguous, their activity is based on processes that underlie the cancer hallmarks and their expression could have potential in diagnosis of selected tumors.

SUBMITTER: Kolat D

PROVIDER: S-EPMC7678100 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Functional genomics of AP-2α and AP-2γ in cancers: in silico study.

Kołat Damian D Kałuzińska Żaneta Ż Orzechowska Magdalena M Bednarek Andrzej K AK Płuciennik Elżbieta E

BMC medical genomics 20201119 1

<h4>Background</h4>Among all causes of death, cancer is the most prevalent and is only outpaced by cardiovascular diseases. Molecular theory of carcinogenesis states that apoptosis and proliferation are regulated by groups of tumor suppressors or oncogenes. Transcription factors are example of proteins comprising representatives of both cancer-related groups. Exemplary family of transcription factors which exhibits dualism of function is Activating enhancer-binding Protein 2 (AP-2). Scientific r ...[more]

PMID: 33213447

Similar Datasets

Project description:Aberrant activation of calmodulin 1 (CALM1) has been reported in human cancers. However, comprehensive understanding of the role of CALM1 in most cancer types has remained unclear. We systematically analyzed the expression landscape, DNA methylation, gene alteration, immune infiltration, clinical relevance, and molecular pathway of CALM1 in multiple cancers using various online tools, including The Cancer Genome Atlas, cBioPortal and the Human Protein Atlas databases. Kaplan-Meier and receiver operating characteristic (ROC) curves were plotted to explore the prognostic and diagnostic potential of CALM1 expression. Multivariate analyses were used to evaluate whether the CALM1 expression could be an independent risk factor. A nomogram predicting the overall survival (OS) of patients was developed, evaluated, and compared with the traditional Tumor-Node-Metastasis (TNM) model using decision curve analysis. R language was employed as the main tool for analysis and visualization. Results revealed CALM1 to be highly expressed in most cancers, its expression being regulated by DNA methylation in multiple cancers. CALM1 had a low mutation frequency (within 3%) and was associated with immune infiltration. We observed a substantial positive correlation between CALM1 expression and macrophage and neutrophil infiltration levels in multiple cancers. Different mutational forms of CALM1 hampered immune cell infiltration. Additionally, CALM1 expression had high diagnostic and prognostic potential. Multivariate analyses revealed CALM1 expression to be an independent risk factor for OS. Therefore, our newly developed nomogram had a higher clinical value than the TNM model. The concordance index, calibration curve, and time-dependent ROC curves of the nomogram exhibited excellent performance in terms of predicting the survival rate of patients. Moreover, elevated CALM1 expression contributes to the activation of cancer-related pathways, such as the WNT and MAPK pathways. Overall, our findings improved our understanding of the function of CALM1 in human cancers.

Project description:Comparative analysis of changes in gene and protein expression and fatty acid profiles between Escherichia coli K-12 MG1655 ΔfadD ΔaraBAD expressing an acyl-acyl carrier protein thioesterase from Umbellularia californica (BTE) or a non-functional mutant thioesterase (BTE-H204A) to determine the functional basis for losses in cell viability, membrane integrity, or other stresses and metabolic perturbations that may be present. New hypotheses obtained from the study will assist in metabolic engineering efforts of improved strains exhibiting higher fatty acid yields and productivities. Cultures of fatty acid overproducing (BTE-expressing) and negative control (non-functional BTE-H204A-expressing) strains of Escherichia coli K-12 MG1655 delta-fadD delta-araBAD (deficient in beta-oxidation and L-arabinose catabolism) were sampled under two different sets of media/induction/antibiotic conditions. These conditions were shake flasks at 37C, 250 rpm shaking, in EZ rich defined medium supplemented with 0.2% glucose and 0.01 mM biotin (EZglu), and in fermentors at 37C with controlled air sparging, agitation, and pH in EZ rich defined medium supplemented with 0.4% glycerol and 0.01 mM biotin (EZgly). Two strains were analyzed in the EZglu experiment, the background strain harboring either pTrc99A-BTE (fatty acid overproducing) or pTrc99A-BTE-H204A (control phenotype). Three strains were analyzed in the EZgly experiment, with the background strain haboring either pBAD35-BTE and pBAD33 (fatty acid overproducing), pBAD35-BTE and pBAD33-ACC (fatty acid overproducing, ACC are the 4 subunits of E. coli K-12 acetyl-CoA carboxylase expressed as an artificial operon accDABC in plasmid pBAD33), and pBAD35-BTE-H204A and pBAD33 (control phenotype). RNA was extracted from harvested cell pellets from biological triplicates (EZglu) or biological duplicates (EZgly) of each strain at three different sampling times as defined in each sample description. Due to a hybridization or scanning problem, biological duplicates rather than triplicates were analyzed at the mid-stationary phase sampling point in the EZglu experiment for the control strain harboring pTrc99A-BTE-H204A. Multiple technical replicates at either the hybridization or sample level were analyzed from the biological duplicates of the fermentor experiment. The form of technical replicate (sample or hybridization) is specified in each EZgly sample description.

Dataset Information

Functional genomics of AP-2? and AP-2? in cancers: in silico study.

Publications

Functional genomics of AP-2α and AP-2γ in cancers: in silico study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets