Transcriptome analysis by RNA-seq technology allows novel insights into gene expression and regulatory networks in health and disease. To better understand the molecular basis of renal fibrosis, we performed RNA-seq analysis in the Unilateral Ureteric Obstruction (UUO) mouse model. We analysed sham operated, 2-and 8-day post-ligation renal tissues. Thousands of genes with statistical significant changes in their expression were identified and classified into cellular processes and molecular pathways. Many novel protein-coding genes were identified, including critical transcription factors with important regulatory roles in other tissues and diseases. Emphasis was placed on long non-coding RNAs (lncRNAs), a class of molecular regulators of multiple and diverse cellular functions. Selected lncRNA genes were further studied and their transcriptional activity was confirmed. For three of them, their transcripts were also examined in other mouse models of nephropathies and their up-or downregulation was found similar to the UUO model. In vitro experiments confirmed that one selected lncRNA is independent of TGFβ or IL1b stimulation but can influence the expression of fibrosis-related proteins and the cellular phenotype. These data provide new information about the involvement of protein-coding and lncRNA genes in nephropathies, which can become novel diagnostic and therapeutic targets in the near future.Chronic kidney disease (CKD) is a frequent condition, causing severe long-term effects with devastating personal and societal consequences 1-3 . There is a need for novel approaches to prevent the decline in renal function during progression of CKD. Considering that the structural basis for this decline is the development of fibrosis, we believe that understanding the molecular basis of renal fibrosis, could offer valuable insights for the improvement of monitoring techniques and therapeutic interventions.To address this question, we combined a systems biology approach in animal models for renal fibrosis, focusing on (but not limited to) the unilateral ureteric obstruction (UUO) model 4,5 . We identified the full transcriptome of renal tissue, using the RNA-seq methodology, during early and late time intervals of kidney fibrosis. This methodology allows the identification of new protein-coding transcripts and novel non-coding RNA transcripts 6 . This is an exciting new direction, since about 75% of the mammalian genome (including human) is transcribed but not translated into proteins, and certain types of non-coding RNAs, especially long non coding RNAs (lncRNAs), play critical regulatory roles in many biological processes 7,8 . However, no data are currently available on the full transcriptome analysis of renal tissue from the UUO model in mice. By performing whole transcriptome sequencing and thorough bioinformatics analysis, we gathered novel information regarding up-regulated and down-regulated genes, pathways and biological processes, and we made lists of differentially expressed genes not suspected so far to be i...

KLK6 is a secreted trypsin-like serine protease. KLK6 mRNA expression and its association with colon cancer (CC) progression was studied using quantitative real-time PCR. We examined the expression of KLK6 in 232 colon tissues (cancerous, non-cancerous, and adenomatous). We proved that KLK6 expression in CC behaves as a continuous variable, as its expression correlates significantly with increasing tumor stage (p=0.004) and histological grade (p=0.007). Interestingly, the expression of KLK6 in adenomas was significantly higher than that in the cancerous or non-cancerous tissues examined (p<0.001). Cox proportional hazard regression model using univariate analysis revealed that positive KLK6 expression is a significant factor for disease-free survival (DFS) (p=0.017) and overall survival (OS) (p=0.002) of patients. Kaplan-Meier survival curves demonstrated that KLK6-negative expression is significantly associated with longer DFS (p=0.009) and OS (p=0.001). ROC analysis showed that KLK6 expression has significant discriminatory power in distinguishing cancerous from non-cancerous colon tissues (p<0.001), or cancerous from adenoma tissues (p=0.001), or adenoma from non-cancerous colon tissues (p<0.001). Additionally, strong KLK6 immunostaining was seen in the cancer cells of selected CC sections, as well as in glandular cells and inflammatory cells of adenomas. In conclusion, KLK6 may represent a potential unfavorable prognostic biomarker for CC.

These data establish for the first time a role for NR5A2 and its SUMOylation on the transcriptional regulation of the calreticulin gene in a rodent model of renal fibrosis and raise the possibility that NR5A2 might be a novel target for future anti-fibrotic interventions.

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