Literature DB >> 25639356

RNA-seq SSRs and small RNA-seq SSRs: new approaches in cancer biomarker discovery.

Arghavan Alisoltani1, Hossein Fallahi2, Behrouz Shiran3, Anousheh Alisoltani4, Esmaeil Ebrahimie5.   

Abstract

The recent exponential increase in the number of next generation sequencing studies provides a new source of data for the discovery of functional genomics based markers. The RNA-seq and small RNA-seq provide a new source for the discovery of differentially expressed SSRs (simple sequence repeats) as biomarkers in various diseases. In the present study, for the first time, we applied RNA-seq SSR to find new biomarkers for pancreatic cancer (PC) diagnosis. Analysis of RNA-seq data revealed a significant alternation in the frequency of SSR motifs during cancer progression. In particular, RNA-seq SSR showed an increase in the frequencies of GCC/GGC and GCG/CGC motifs in PC samples compared to healthy pancreas. These findings were further confirmed using meta-analysis of EST-SSR data in 11 different cancers. Interestingly, the genes containing GCC/GGC and GCG/CGC motifs in their sequences were involved in many cancer-related biological processes, particularly regulation processes. The small RNA-seq data were also mined for the conserved patterns in SSR frequencies (sRNA-seq SSR) during cancer progression. Based on the results, we suggest the potential use of GCC/GGC and GCG/CGC motifs as biomarkers in PC. Based on the findings of this study, it seems that RNA-seq SSR and sRNA-seq SSR could open a new paradigm in the diagnostic and even therapeutic strategies for PC along the other types of cancers.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarker; EST–SSR; Leukemia; Next Generation Data Sequencing; Pancreatic cancer; RNA-seq; Small RNA-seq

Mesh:

Substances:

Year:  2015        PMID: 25639356     DOI: 10.1016/j.gene.2015.01.027

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  2 in total

Review 1.  RNA sequencing: new technologies and applications in cancer research.

Authors:  Mingye Hong; Shuang Tao; Ling Zhang; Li-Ting Diao; Xuanmei Huang; Shaohui Huang; Shu-Juan Xie; Zhen-Dong Xiao; Hua Zhang
Journal:  J Hematol Oncol       Date:  2020-12-04       Impact factor: 17.388

2.  Identification of novel ΔNp63α-regulated miRNAs using an optimized small RNA-Seq analysis pipeline.

Authors:  Suraj Sakaram; Michael P Craig; Natasha T Hill; Amjad Aljagthmi; Christian Garrido; Oleg Paliy; Michael Bottomley; Michael Raymer; Madhavi P Kadakia
Journal:  Sci Rep       Date:  2018-07-03       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.