Evidence map›Paper›PMID 23939186›Full record

ArticleBiochemical pharmacology2013

Transcriptional regulation by nicotine in dopaminergic neurons.

Beverley M Henley, Brian A Williams, Rahul Srinivasan, Bruce N Cohen, Cheng Xiao, Elisha D W Mackey, Barbara J Wold, Henry A Lester

Open access · greenAbstract read
In one paragraph

Article in Biochemical pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Single-cell Transcriptome Study as Big Data.Genomics, proteomics & bioinformatics · 2016
    Review
  16. Smoking-Relevant Nicotine Concentration Attenuates the Unfolded Protein Response in Dopaminergic Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016
    Article
  17. Article
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Beverley M HenleyCalifornia Institute of Technology, 156-29 Caltech, Pasadena, CA 91125, USA. Electronic address: bhenley@caltech.edu.
Brian A Williams
Rahul Srinivasan
Bruce N Cohen
Cheng Xiao
Elisha D W Mackey
Barbara J Wold
Henry A Lester
California Institute of Technology · US

Funding

STATISTICAL GENETICS AND TREATMENT ANALYSISP50MH086383 · NIMH · UNIVERSITY OF COLORADO DENVER · PI FREEDMAN, ROBERT R · 2009 to 2013
$10.6M
Alpha4 Nicotinic Receptor in Addiction: Mouse ModelsR01DA017279 · NIDA · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI LESTER, HENRY A. · 2004 to 2014
$3.5M
Chronic nicotine: cell-specific receptor and circuit alterations in basal gangliaR01AG033954 · NIA · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI LESTER, HENRY A. · 2009 to 2013
$1.7M
NIA NIH HHS AG033954NIA NIH HHS R01 AG033954NIDA NIH HHS DA017279NIDA NIH HHS R01 DA017279NIMH NIH HHS MH086383NIMH NIH HHS P50 MH086383
6 · The paper itself

Abstract

Dopaminergic neurons in the substantia nigra pars compacta (SNc) degenerate in Parkinson's disease. These neurons robustly express several nicotinic acetylcholine receptor (nAChR) subtypes. Smoking appears to be neuroprotective for Parkinson's disease but the mechanism is unknown. To determine whether chronic nicotine-induced changes in gene expression contribute to the neuroprotective effects of smoking, we develop methods to measure the effect of prolonged nicotine exposure on the SNc neuronal transcriptome in an unbiased manner. Twenty neurons were collected using laser-capture microscopy and transcriptional changes were assessed using RNA deep sequencing. These results are the first whole-transcriptome analyses of chronic nicotine treatment in SNc neurons. Overall, 129 genes were significantly regulated: 67 upregulated, 62 downregulated. Nicotine-induced relief of endoplasmic reticulum (ER) stress has been postulated as a potential mechanism for the neuroprotective effects of smoking. Chronic nicotine did not significantly affect the expression of ER stress-related genes, nor of dopamine-related or nAChR genes, but it did modulate expression of 129 genes that could be relevant to the neuroprotective effects of smoking, including genes involved in (1) the ubiquitin-proteasome pathway, (2) cell cycle regulation, (3) chromatin modification, and (4) DNA binding and RNA regulation. We also report preliminary transcriptome data for single-cell dopaminergic and GABAergic neurons isolated from midbrain cultures. These novel techniques will facilitate advances in understanding the mechanisms taking place at the cellular level and may have applications elsewhere in the fields of neuroscience and molecular biology. The results give an emerging picture of the role of nicotine on the SNc and on dopaminergic neurons.

Indexed as

AnimalsDopamineDopaminergic Neuronsgamma-Aminobutyric AcidGene Expression RegulationGenomeMiceMice, Inbred C57BLNicotineStress, PhysiologicalSubstantia NigraTranscriptomeDopaminegamma-Aminobutyric AcidNicotineDatabase for Annotation, Visualization and Integrated DiscoveryDAVIDDopamine-related genesendoplasmic reticulumERFPKMfragments per kilobase per million mapped readsIngenuity Pathway AnalysisIPAnAChRnicotinic acetylcholine receptorNicotinic acetylcholine receptorParkinson's diseasePDRNA-SeqSNcsubstantia nigra pars compactaSubstantia nigra pars compactaUbiquitin–proteasome pathwayunfolded protein responseUPRventral tegmental areaVTA

Identifiers

PMID23939186
PMCPMC3969234
OpenAlexW2015029220

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.