Analysis of RNA-Seq Data of 10000 Samples of Single-cell Transcriptome

Abstract

Human pregnancies underlie many common pregnancy diseases for trophoblast-decidual interaction, such as pre-eclampsia, still birth. As uterine mucosa transforms into the decidua and fetal placenta implants there, many morphological changes occur due to immunological, metabolical changes. In this work, we analyzed single-cell RNA-seq data of pregnant women. The data was downloaded from the study of the University of Cambridge's Sarah Teichman Lab. We analyzed disease symptoms and investigated responsible genes by checking RNA-editing sites and gene functionality. The aim of this study is to identify editing sites, their impact on pregnancy complications and to make a profile for detecting disease criteria. The result shows the chromosome-wise distribution of RNA-editing sites which have a reflection of intra-chromosomal distribution. We found that the highest edited sites are in the regulatory region and also classified genes according to their functions and identified their role in pregnancy complications. Our result indicates that there are common RNA editing sites for a particular cell-like T-cell and CD-cell with probability more than 0.5.