Systematic Selection of Reference Genes for the Normalization of Circulating RNA Transcripts in Pregnant Women Based on RNA-Seq Data

نویسندگان

  • Stephen S. C. Chim
  • Karen K. W. Wong
  • Claire Y. L. Chung
  • Stephanie K. W. Lam
  • Jamie S. L. Kwok
  • Chit-Ying Lai
  • Yvonne K. Y. Cheng
  • Annie S. Y. Hui
  • Meng Meng
  • Oi-Ka Chan
  • Stephen K. W. Tsui
  • Keun-Young Lee
  • Ting-Fung Chan
  • Tak-Yeung Leung
چکیده

RNA transcripts circulating in peripheral blood represent an important source of non-invasive biomarkers. To accurately quantify the levels of circulating transcripts, one needs to normalize the data with internal control reference genes, which are detected at relatively constant levels across blood samples. A few reference gene candidates have to be selected from transcriptome data before the validation of their stable expression by reverse-transcription quantitative polymerase chain reaction. However, there is a lack of transcriptome, let alone whole-transcriptome, data from maternal blood. To overcome this shortfall, we performed RNA-sequencing on blood samples from women presenting with preterm labor. The coefficient of variation (CV) of expression levels was calculated. Of 11,215 exons detected in the maternal blood whole-transcriptome, a panel of 395 genes, including PPP1R15B, EXOC8, ACTB, and TPT1, were identified to comprise exons with considerably less variable expression level (CV, 7.75-17.7%) than any GAPDH exon (minimum CV, 27.3%). Upon validation, the selected genes from this panel remained more stably expressed than GAPDH in maternal blood. This panel is over-represented with genes involved with the actin cytoskeleton, macromolecular complex, and integrin signaling. This groundwork provides a starting point for systematically selecting reference gene candidates for normalizing the levels of circulating RNA transcripts in maternal blood.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Clustering of Short Read Sequences for de novo Transcriptome Assembly

Given the importance of transcriptome analysis in various biological studies and considering thevast amount of whole transcriptome sequencing data, it seems necessary to develop analgorithm to assemble transcriptome data. In this study we propose an algorithm fortranscriptome assembly in the absence of a reference genome. First, the contiguous sequencesare generated using de Bruijn graph with d...

متن کامل

Investigating the Function of Predicted Proteins from RNA-Seq Data in Holstein and Cholistani Cattle Breeds

This study was performed to determine the digital expression profile of different genes expressed in Holstein and Cholistani breeds as well as to evaluate the performance of predicted proteins derived from differentially expressed genes between these two breeds using RNA-Seq data. For this purpose, the whole mRNA sequence for a blood sample of American Holstein and Pakistani Cholistani cattle p...

متن کامل

Validation of Reference Genes for Real Time PCR Normalization in Milk Somatic Cells of Holstein Dairy Cattle

Real time-qPCR is the most reliable method for evaluation of mRNA expression levels. However, to obtain accurate results, selection of suitable reference genes is necessary for normalizing the real-time qPCR data. The aim of this research was to validate the expression stability of three potential reference genes (ACTB, GAPDH and UXT) in milk somatic cells of Holstein dairy cattle under differe...

متن کامل

RNA-Seq Bayesian Network Exploration of Immune System in Bovine

Background: The stress is one of main factors effects on production system. Several factors (both genetic and environmental elements) regulate immune response to stress. Objectives: In order to determine the major immune system regulatory genes underlying stress responses, a learning Bayesian network approach for those regulatory genes was applied to RNA-...

متن کامل

A Graph-Based Clustering Approach to Identify Cell Populations in Single-Cell RNA Sequencing Data

Introduction: The emergence of single-cell RNA-sequencing (scRNA-seq) technology has provided new information about the structure of cells, and provided data with very high resolution of the expression of different genes for each cell at a single time. One of the main uses of scRNA-seq is data clustering based on expressed genes, which sometimes leads to the detection of rare cell populations. ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 18  شماره 

صفحات  -

تاریخ انتشار 2017