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RNA-seq of human neural progenitor cells exposed to lead (Pb) reveals transcriptome dynamics, splicing alterations and disease risk associations

  • P. Jiang
  • , Zhonggang Hou
  • , Jennifer M. Bolin
  • , James A. Thomson
  • , Ron Stewart
  • Morgridge Institute for Research
  • Harvard Medical School
  • University of Wisconsin School of Medicine and Public Health
  • University of California Santa Barbara

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Lead (Pb) is a well-known toxicant, especially for the developing nervous system, albeit the mechanism is largely unknown. In this study, we use time series RNA-seq to conduct a genome-wide survey of the transcriptome response of human embryonic stem cell-derived neural progenitor cells to lead treatment. Using a dynamic time warping algorithm coupled with statistical tests, we find that lead can either accelerate or decelerate the expression of specific genes during the time series. We further show that lead disrupts a neuron- and brain-specific splicing factor NOVA1 regulated splicing network. Using lead induced transcriptome change signatures, we predict several known and novel disease risks under lead exposure. The findings in this study will allow a better understanding of the mechanism of lead toxicity, facilitate the development of diagnostic biomarkers and treatment for lead exposure, and comprise a highly valuable resource for environmental toxicology. Our study also demonstrates that a human (embryonic stem) cell-derived system can be used for studying the mechanism of toxicants, which can be useful for drug or compound toxicity screens and safety assessment.
Original languageEnglish
Pages (from-to)251-265
Number of pages15
JournalToxicological Sciences
Volume159
Issue number1
DOIs
StatePublished - Jan 1 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Disease risk prediction
  • Dynamic time warping
  • Lead (Pb) exposure
  • RNA-seq
  • Time series
  • Transcriptome response

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