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Medical & Biological Engineering & Computing

, Volume 55, Issue 3, pp 467–482 | Cite as

Gene expression profiling of midbrain dopamine neurons upon gestational nicotine exposure

  • Pınar Kanlikilicer
  • Die Zhang
  • Andrei Dragomir
  • Yasemin M. Akay
  • Metin AkayEmail author
Original Article

Abstract

Maternal smoking during pregnancy is associated with low birth weight, increased risk of stillbirth, conduct disorder, attention-deficit/hyperactivity disorder and neurocognitive deficits. Ventral tegmental area dopamine (DA) neurons in the mesocorticolimbic pathway were suggested to play a critical role in these pathological mechanisms induced by nicotine. Nicotine-mediated changes in genetic expression during pregnancy are of great interest for current researchers. We used patch clamp methods to identify and harvest DA and non-DA neurons separately and assayed them using oligonucleotide arrays to elucidate the alterations in gene expressions in these cells upon gestational nicotine exposure. Microarray analysis identified a set of 135 genes as significantly differentially expressed between DA and non-DA neurons. Some of the genes were found to be related to neurological disease pathways, such as Alzheimer’s disease, Parkinson’s disease and Huntington’s disease. Significantly up-/down-regulated genes found in DA neurons were mostly related to G-protein-coupled protein receptor signaling and developmental processes. These alterations in gene expressions may explain, partially at least, the possible pathological mechanisms for the diseases induced by maternal smoking.

Keywords

Dopamine Gestational nicotine Microarray Neurological diseases VTA 

Supplementary material

11517_2016_1531_MOESM1_ESM.pdf (98 kb)
Supplementary Fig. 1 Timeline for the sample collections and presentation of samples used in this study. (PDF 98 kb)
11517_2016_1531_MOESM2_ESM.pdf (93 kb)
Supplementary Fig. 2 Heatmap displaying the expression fold changes of the 135 differentially expressed genes in DA vs non-DA neurons. (PDF 93 kb)
11517_2016_1531_MOESM3_ESM.pdf (76 kb)
Supplementary Fig. 3 Compact diagram of working flow of WebGestalt program. (PDF 76 kb)

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Copyright information

© International Federation for Medical and Biological Engineering 2016

Authors and Affiliations

  • Pınar Kanlikilicer
    • 1
  • Die Zhang
    • 1
  • Andrei Dragomir
    • 1
  • Yasemin M. Akay
    • 1
  • Metin Akay
    • 1
    Email author
  1. 1.Department of Biomedical EngineeringUniversity of HoustonHoustonUSA

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