Genetic Analysis of Differentially Expressed Genes Associated with the Pathogenesis of Autism Spectrum Disorder
DOI:
https://doi.org/10.47611/jsrhs.v12i4.5627Keywords:
ASD Autism Spectrum Disorder, neurodevelopmental disorder, gene expressions, GEO database, STRING database, pathway, neuroscienceAbstract
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder present at birth and affects 1 in 36 children in the US. It causes symptoms like intellectual disability, lack of communication skills, delayed development of coordination and movement, and more. ASD is a spectrum disorder, and its complexity makes early diagnosis in children difficult as there are no known biomarkers that cause ASD. This project aims to identify genetic factors that may be associated with ASD. By splitting samples in the dataset accessed from the GEO database into a test group with ASD and a control group, this study used a statistical t-test to identify the top 250 differentially expressed genes with p-values < 0.05. These genes were entered in the STRING database to create a map of gene interactions and identify top pathways and biological processes. Analysis of pathways and biological processes led to findings that the differentially expressed gene ARF6 (ADP Ribosylation Factor 6) was active in all three pathways: RAS Signaling, Phospholipase D Signaling, and Salmonella Infection Pathways and played important roles in cellular functions. The experiment validated my hypothesis by providing evidence for a significant difference in gene expressions between ASD individuals and neurotypical individuals. ARF6 was found to be downregulated and involved in pathways and biological processes associated with ASD like immune and cell signaling dysregulation. The implication is If the ARF6 gene factor can be controlled to regulate ARF6 expression, the mutations that contribute to ASD can be suppressed through multiple pathways.
Downloads
References or Bibliography
REFERENCES
Acker, T.V., et al. (2019) “The Small GTPase Arf6: An Overview of Its Mechanisms of Action and
of Its Role in Host–Pathogen Interactions and Innate Immunity.” Int J Mol Sci. vol. 20, no. 9,
, pp. 2209, https:// www.ncbi.nlm.nih.gov/pmc/articles/PMC6539230/
Auerbach, B. D., Osterweil, E. (2011). “Mutations Causing Syndromic Autism Define an Axis of Synaptic
Pathophysiology.” Nature. vol. 480, pp.63-68. https://www.nature.com/articles/nature10658
Azreq, M.A.E.,Valerie, G. (2010). “Cytohesin-1 Regulates the Arf6- Phospholipase D Signaling Axis in
Human Neutrophils: Impact on Superoxide Anion Production and Secretion.” J Immunol. vol. 184, no. 2,
pp.637-649. https://www.jimmunol.org/content/184/2/637
Campbell, D.B., Sutcliffe, J. (2006). “A Genetic Variant That Disrupts MET Transcription Is Associated with
Autism.” Proc Natl Acad Sci USA. vol. 103, no. 45, pp.16834 – 16839.
https// www.ncbi.nlm.nih.gov/pmc/articles/PMC1838551/
Darnell, J. C., Driesche, S. (2011) “FMRP Stalls Ribosomal Translocation on mRNAs Linked to Synaptic
Function and Autism.” Cell. vol. 146, no. 2, 2011, pp. 247–261. https://pubmed.ncbi.nlm.nih.gov/21784246/
Davidson, A.C., Humphreys, D. (2015) “The Arf GTPase-Activating Protein Family Is Exploited by
Salmonella enterica Serovar Typhimurium to Invade Nonphagocytic Host Cells.” mBio, vol. 6, no.1, 2015,
pp. e02253-14. https:// journals.asm.org/doi/epub/10.1128/mBio.02253-14
Durand, C.M., Betancur, C. (2007). “Mutations in the Gene Encoding the Synaptic Scaffolding Protein
SHANK3 Are Associated with Autism Spectrum Disorders.” Nat Genet. Vol. 39, no. 1, 2007, pp. 25-27.
https://pubmed.ncbi.nlm.nih.gov/17173049/
Durkin, Maureen, et al. (2017). “Autism Spectrum Disorder Among US Children (2002-2010):
Socioeconomic, Racial, and Ethnic Disparities.” Am J Public Health, vol.107, no.11, Nov.
, pp.1818-1826. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5637670/
Ebert, D. H., Gabel, H.W. (2013). “Activity-dependent Phosphorylation of MeCP2
threonine 308 Regulates Interaction with NCoR.” Nature. Vol. 499, no.7458, pp. 341 -345
https:// pubmed.ncbi.nlm.nih.gov/23770587/
Ehninger, D., Silva, A. (2011) “Rapamycin for Treating Tuberous Sclerosis and Autism Spectrum Disorders.”
Trends Mol. Med. vol 17, no. 2, 2011, pp: 78–87. https://pubmed.ncbi.nlm.nih.gov/21115397/
Folstein, S., Rutter M. (1977) “Infantile Autism: A Genetic Study of 21 Twin Pairs.” J.
Child Psychol Psychiatry. Vol.18, no. 4, pp. 297-321, https://doi.org/10.1111/j.1469- 7610.1977.tb00443.
Girirajan, S., Dennis, M. (2013). “Refinement and Discovery of New Hotspots of Copy-number Variation
Associated with Autism Spectrum Disorder.” Am. J. Hum. Genet. Vol. 92, 2013, pp. 221–237.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3567267/
Jiang, C.C., Lin, L.S. (2022). “Signalling Pathways in Autism Spectrum Disorder: Mechanisms and Therapeutic
Implications.” Signal Transduction and Targeted Therapy. Vol.7, pp. 229.
https:// www.nature.com/articles/s41392-022-01081-0
Kanamarlapudi, V., Salman T.J. (2022) “ADP-ribosylation Factor 6 Expression Increase in Oesophageal
Adenocarcinoma Suggests a Potential Biomarker Role for it.” Plos One. 2022
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0263845#sec002
Khatri, N., Man H.Y. (2019) “The Autism and Angelman Syndrome Protein Ube3A/E6AP: The Gene, E3 Ligase
Ubiquitination Targets and Neurobiological Functions.” Front. Mol. Neurosci., vol. 12, April 2019.
https: //doi.org/10.3389/fnmol.2019.00109
Levy, N.S., Umanah, G. (2019) “IQSEC2-Associated Intellectual Disability and Autism.”
Int J Mol Sci. vol. 20, no. 12, pp.3038. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6628259/
Maenner, MJ, et al. (2023). “Prevalence and Characteristics of Autism Spectrum Disorder Among
Children Aged 8 years - Autism and Developmental Disabilities Monitoring Network, 11 Sites,
United States, 2020”. MMWR Surveill Summ, vol. 72, no. SS-2, https://doi:10.15585/mmwr.ss7202a1
Mandy, W., Lai M.C. (2016). “Annual Research Review: The Role of the
Environment in the Developmental Psychopathology of Autism Spectrum Condition.” J. Child
Psychol. Psychiatry, vol. 57, no. 3, pp. 271–292, https://pubmed.ncbi.nlm.nih.gov/26782158/
Nakagawa, N., Plestant, C. (2019). “Memo1-Mediated Tiling of Radial Glial Cells Facilitates Cerebral Cortical
Development.” Neuron, vol. 103, no. 5, pp. 836-852. https:// www.ncbi.nlm.nih.gov/pmc/articles/PMC6728225/
Quesnel-Vallieres, M., Weatheritt, R. (2019). “Autism Spectrum Disorder: Insights into Convergent Mechanisms
from Transcriptomics.” Nature Reviews Genetics. Vol. 20, pp. 51-63.
https:// www.nature.com/articles/s41576-018-0066-2
Sandin, S., Lichtenstein, P. (2014). “The Familial Risk of Autism.” JAMA, vol. 311, no. 17, pp. 1770-1777,
https://pubmed.ncbi.nlm.nih.gov/24794370/
Smith, A.C., et al. (2005) “Interaction of the Salmonella-containing Vacuole with the Endocytic Recycling
System.” J. Biol. Chem. vol. 280, no. 26, pp.24634–41 https://pubmed.ncbi.nlm.nih.gov/15886200/
Van S.J.H., et al. (2019). “The Gut-immune-brain Axis in Autism Spectrum Disorders; a
Focus on Amino Acids.” Frontiers in Endocrinology. 2019. https:// doi.org/10.3389/fendo.2019.00247
Vasic, V., et al. (2021) “Translating the role of mTOR- and RAS-Associated Signalopathies in
Autism Spectrum Disorder: Models, Mechanisms, and Treatment.” Genes, vol. 12, no. 11,
pp.1746. https://www.mdpi.com/2073-4425/12/11/1746
Ziats, M.N., and Rennert, O. (2013). “Aberrant Expression of Long Noncoding RNAs in Autistic
Brain.” J. Mol. Neurosci. Vol. 49, pp. 589–593. https://pubmed.ncbi.nlm.nih.gov/22949041/
Published
How to Cite
Issue
Section
Copyright (c) 2023 Katherine Hua
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright holder(s) granted JSR a perpetual, non-exclusive license to distriute & display this article.