Hidden treasures in contemporary RNA sequencing

Serghei Mangul*, Harry Taegyun Yang, Eleazar Eskin, Noah Zaitlen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

High throughput RNA sequencing technologies have provided unprecedented opportunity to explore the individual transcriptome. Unmapped reads, the reads falling to map to the human reference, are a large and often overlooked output of standard RNA-Seq analyses; the hidden treasure in the contemporary RNA-Seq analysis is within the unmapped reads, illuminating previously unexplored biological insights. Here we develop Read Origin Protocol (ROP) to discover the source of all reads originating from complex RNA molecules, recombinant T and B cell receptors, and microbial communities. We applied ROP to 10,641 samples across 2630 individuals from 54 diverse adult human tissues. Our approach can account for 99.9% of 1 trillion reads of various read length. Using in-house RNA-Seq data, we show that immune profiles of asthmatic individuals are significantly different from the profiles of control individuals, with decreased average per sample T and B cell receptor diversity. We also show that microbiomes can be detected in human bloods via RNA-Sequencing and may elucidate important clinical changes in patients with schizophrenia. Furthermore, we demonstrate that receptor-derived reads among other hidden reads can be used to characterize the overall Ig repertoire across diverse human tissues using RNA-Sequencing. Our results demonstrate the potential of ROP to exploit the hidden treasure in contemporary RNA-Sequencing in order to better understand the functional mechanisms underlying connections between the immune system, microbiome, human gene expression, and disease etiology.

Original languageEnglish (US)
Title of host publicationSpringerBriefs in Computer Science
PublisherSpringer
Pages1-93
Number of pages93
DOIs
StatePublished - 2019

Publication series

NameSpringerBriefs in Computer Science
ISSN (Print)2191-5768
ISSN (Electronic)2191-5776

Keywords

  • B and T cell receptor immune repertoires
  • Human Microbiome
  • Immune system
  • RNA Sequencing
  • RNA aligners
  • Unmapped reads

ASJC Scopus subject areas

  • Computer Science(all)

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