Quantitative Proteomic Analysis of Cervical Cancer Tissues Identifies Proteins Associated With Cancer Progression.

BACKGROUND/AIM: To date, several proteomics studies in cervical cancer (CC) have focused mainly on squamous cervical cancer (SCC). Our study aimed to discover and clarify differences in SCC and CAD that may provide valuable information for the identification of proteins involved in tumor progression, in CC as a whole, or specific for SCC or CAD. MATERIALS AND METHODS: Total protein extracts from 15 individual samples corresponding to 5 different CC tissue types were compared with a non-cancerous control group using bidimensional liquid chromatography-mass spectrometry (2D LC-MS/MS), isobaric tags for relative and absolute quantitation (ITRAQ), principal component analysis (PCA) and gene set enrichment analysis (GSEA). RESULTS: A total of 622 statistically significant different proteins were detected. Exocytosis-related proteins were the most over-represented, accounting for 25% of the identified and quantified proteins. Based on the experimental results, reticulocalbin 3 (RCN3) and Ras-related protein Rab-14 (RAB14) were chosen for further downstream in vitro and vivo analyses. RCN3 was overexpressed in all CC tissues compared to the control and RAB14 was overexpressed in squamous cervical cancer (SCC) compared to invasive cervical adenocarcinoma (CAD). In the tumor xenograft experiment, RAB14 protein expression was positively correlated with increased tumor size. In addition, RCN3-expressing HeLa cells induced a discrete size increment compared to control, at day 47 after inoculation. CONCLUSION: RAB14 and RCN3 are suggested as potential biomarkers and therapeutic targets in the treatment of CC.

Omics Approaches to Pesticide Biodegradation.

Pesticides are xenobiotic molecules necessary to control pests in agriculture, home, and industry. However, water and soil can become contaminated as a consequence of their extensive use. Therefore, because of its eco-friendly characteristics and efficiency, bioremediation of contaminated sites is a powerful tool with advantages over other kinds of treatments. For an efficient pesticides bioremediation, it is necessary to take into account different aspects related to the microbial metabolism and physiology. In this respect, OMICs studies such as genomics, transcriptomics, proteomics, and metabolomics are essential to generate relevant information about the genes and proteins involved in pesticide degradation, the metabolites generated by microbial pesticide degradation, and the cellular strategies to contend against stress caused by pesticide exposition. Pesticides as organochlorines and organophosphorus are the more commonly studied using OMIC approaches. To date, many genomes of microorganisms capable of degrading pesticides have been published, mainly bacterial strains from Burkholderia, Pseudomonas, and Rhodococcus genera. Following the genomic reports, transcriptomic studies, using microarrays and more recently next-generation sequencing technology RNA-Seq, in pesticide microbial degradation are the most numerous. Proteomics, metabolomics, as well as studies that combine different OMIC are gained interest. This review aims to describe a brief overview of pesticide biodegradation mechanisms; new tools to study microorganisms in natural environments; basic concepts of the OMICs approaches; as well as advances in methodologies associated with the analysis of that tools. Additionally, the most recent reports on genomics, transcriptomics, proteomics, and metabolomics during the degradation of pesticides are also analyzed.