Comparing Methods for Identifying Transcription Factor Target Genes
Identifying Genes Related to Anxiety
Transcript of Identifying Genes Related to Anxiety
Identifying Genes Related to AnxietySpurthi Jayadeva, International Academy East, Troy, MI, 48083 & BioScience Project, Wakefield, MA 01880
Introduction• Occasional anxiety is normal and people experience it before they are in
stressful situations such as interviews, tests, public speaking, etc.
• Anxiety disorders, however, extend further than occasional anxiety. The stress
does not go away and it can get worse over time. There are types of anxiety
disorders such as generalized anxiety disorder, panic disorder, and social
anxiety disorder.
• People with generalized anxiety disorder worry for months and face many
symptoms that make it harder to continue everyday activities.
• People with panic disorder experience several panic attacks where they go
through sudden periods of intense fear.
• Social anxiety disorder causes people to have a fear of social or performance
situations where they have to be around other people.
(Source: https://www.nimh.nih.gov/health/topics/anxiety-disorders/index.shtml)
• Studies have shown that there is heightened amygdala activation in response to
stress (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3055419/).. In this study
gene expression patterns in the amaygdala were evaluated to identify genes
related to anxiety. Methods
• The Allen Brain Atlas (http://www.brain-map.org/) was used to find the gene
expression data. The Differential Search was used in the Allen Human Brain
Atlas to find the expression of particular genes in a particular area of the brain,
or target structure (Amygdala), versus the other areas known as contrast
structures (gray matter). The search showed a heat map and data was collected
from four of the donors (H0351.2001, H0351.2002, H0351.1009, and
H0351.1012).
• Interactive Histogram (http://www.shodor.org/interactivate/activities/Histogram/)
was used to find the statistics for the fold-change values found in the Allen Brain
Atlas for the four donors.
• Venny 2.1 (http://bioinfogp.cnb.csic.es/tools/venny/) was used to find common
genes that are shared by all four of the donors.
• DAVID (https://david.ncifcrf.gov/) is a functional annotation tool that helped give
a biological meaning behind a large list of genes. This was used for cluster
analysis. Genes related to anxiety were found through keywords such as stress
and heart.
• The STRING database (https://string-db.org/) was used to find genes that are
associated with the genes that were found in the DAVID database.
Results1. Gene Expression Profiling
Donor A (H0351.2001)
Donor B (H0351.2002)
Donor C (H0351.1009)
Donor D (H0351.1012)
The heat maps show the
gene expression data for
the four chosen donors.
The genes are sorted
from the highest to the
lowest fold-change. The
bar at the top represents
the donor and the bar
under it represents
different parts of the
amygdala. Each row of
the heat map represents
a probe. Each column
represents a tissue or
anatomical brain
structure. Red represents
relatively high expression
and green represents
relatively low expression
in the heat map. The top
two hundred genes were
then downloaded and
analyzed. The gene
symbol, p-value, and
fold-change were used
for the following steps in
the project.
2. Common Genes
After creating a Venn Diagram using the top twenty highest
expressing genes for each donor, the results showed that
there are thirty three common genes that are shared by all of
the donors. This means that 16.8% of the data was common
among all of the donors.
Common Genes
DCSTAMP
MYB
PDYN
KCTD4
UTS2D
NPY
PTGER3
MOXD1
GDA
ZNF831
FOXG1
LOC392145
GABRQ
TRHR
HTR2C
CARTPT
CD36
ZCCHC12
CXXC11
DIRAS3
MYH6
ARHGAP6
BCL11B
C6orf118
TFAP2D
ANO3
NR2F2
GLRA3
PRSS35
PCDH11Y
GABRA2
TNFAIP8L3
KCNG3
3. Top 20 Highest Expressing Genes
Donor A (H0351.2001)
Donor B (H0351.2002)
Donor C (H0351.1009)
The charts show graphs for the top twenty highest expressing genes for each donor.
The blue graphs show a relationship between the fold-change and the gene symbol
while the red graphs show a relationship between the p-value and the gene symbol.
4. Data Distribution
In the histograms, the x-axis shows the fold-change
values and the y-axis shows the frequency of the
fold-change values. The histograms for all four
donors are skewed right because most of the genes
have lower fold-change values. The average fold-
change ranges between seven and twelve.
5. Genes of Interest
The common genes between all of the donors were put into the DAVID
database. No genes of interest for anxiety in humans were found.
Genes from the common gene list related to stress were found in a
study with mice (www.geneweaver.org). Key word search for terms
related to anxiety such as “stress” and “addiction” led to the genes of
interest.
HTR2C MYH6
CARTPT
CD36
PDYN
The genes of interest were put into the STRING database to identify interacting
partners . Networks were created based on experimentally validated interactions.
The related genes in the network from the STRING database were plugged back
into the DAVID database to see if any of the genes were directly elated to anxiety.
Each gene of interest’s list was plugged in separately. Although non of the lists
directly related to anxiety, MYH6’s list showed many genes of interest for the
keyword “stress.” This was then narrowed down to one gene that related the most to
stress. This was protein phosphatase 3 catalytic subunit alpha or PPP3CA. It has
“cardiac muscle hypertrophy in response to stress”, “multicellular organismal
response to stress”, and “positive regulation of cardiac muscle hypertrophy in
response to stress.” It also has “cellular response to drug” which is helpful because
drugs increase the risk of anxiety. This gene of interest related the most to anxiety
and stress.
Conclusion
• Anxiety is a disorder that is becoming more and more common
every single day. There is still a lot of research that needs to be
done because there are many factors that contribute to it.
• The amygdala is a region of the brain that is affected by anxiety
and stress. There are other regions that may be researched to find
more information about it.
• Six genes of interest were identified and then expanded using the
DAVID and STRING databases. Since there are many other
factors that related and contribute to stress and anxiety, there are
most likely many more genes of interest.
• PPP3CA was found to be related to stress and it should be further
researched to see if it has a role in everyday stress or if it has a
larger role in contributing to anxiety. This is a good candidate for
another study.
• Other genes that were identified throughout the project could also
be researched further in order to determine if they contribute to
stress or anxiety.