Contribution
Overview
In clinical treatment of Glioma, TMZ is necessary, but it always causes resistance and decreases the survival rates
of patients. So, it’s really important to screen for new target genes to conquer this problem. In this project, we
developed a bioinformatics analysis protocol to screen TMZ resistance-related genes.
In order to carry forward the spirit of iGEM, we specially searched the iGEM Biological Parts library for related research. However, there is no related research. Our team provided a bioinformatics analysis protocol and successfully pick up a target gene, PDRG1, adding data for TMZ resistance-related genes. This information can be a good reference for future iGEM teams working on TMZ resistance.
In order to carry forward the spirit of iGEM, we specially searched the iGEM Biological Parts library for related research. However, there is no related research. Our team provided a bioinformatics analysis protocol and successfully pick up a target gene, PDRG1, adding data for TMZ resistance-related genes. This information can be a good reference for future iGEM teams working on TMZ resistance.
Add a new bioinformatics analysis protocol to screen for TMZ resistance genes
a) Data Downloading and annotation
The aim of this project is to screen for target genes that can reverse TMZ drug resistance during the treatment of
gliomas. Therefore, the public dataset GSE199689 related to TMZ resistance was obtained by screening in the GEO
database. This dataset includes two cell lines, U87 (TMZ-sensitive) and U87TR (TMZ-resistant), each with three
biological repeats. the biological repeats of U87 are the biological replicates of U87TR are GSM5981756, GSM5981757,
and GSM5981758. Using this dataset, the differences between the two cell lines were analyzed and the target genes
associated with TMZ resistance were expected to be found. We download the probe and annotated the genes with
AnnoProbe. We analyzed the data with R.
The genes that were significantly up- and down-regulated in the differential genes were screened separately and the expression amounts were observed in each sample. We can see the difference in the expression of differential genes between the two groups (Figure 1).
The genes that were significantly up- and down-regulated in the differential genes were screened separately and the expression amounts were observed in each sample. We can see the difference in the expression of differential genes between the two groups (Figure 1).
Figure 1. the difference in expression of differential genes between the two groups
b) GO analysis visualization
Based on the mechanism of TMZ drug resistance, we put our emphasis on DNA damage repair. Here, we listed 10 GO
terms. We found that the downregulated genes are remarkably enriched in terms that are related to DNA damage repair,
which points out that the downregulation of certain genes affects DNA damage repair (Figure 2). The differential
genes that are enriched in the GO terms are potential target genes that could reverse TMZ drug resistance, which is
one of our focuses.
Figure 2. GO analysis of TMZ resistance relate genes
c) Verification of Target Genes
Through extensive literature review, we found that PDRG1, the down-regulated differential gene, was up-regulated in
various tumor tissues, such as colorectal cancer, ovarian cancer, lung cancer, breast cancer, and endometrial
cancer. At the same time, PDRG1 down-regulation can enhance the radiosensitivity of nasopharyngeal cancer.
Therefore, PDRG1 was preliminarily identified as a potential target gene, and the function of PDRG1 was verified by
using glioma-related data from TCGA and GTEx databases. Firstly, the expression of PDRG1 in glioma tumor samples and
normal samples was analyzed, and the expression of PDGR1 in normal samples was lower than that in tumor samples
(Figure 3A). Secondly, whether PDRG1 affects the prognosis of glioma was analyzed, and patients with low expression
of PDRG1 had a better prognosis and longer survival time (Figure 3B).
Figure 3. PDRG1 plays an important role in tumors.
A. the expression of PDRG1 in glioma tumor samples and normal samples,
B. the survival time of patients with the different expression levels of PDRG1,
C. the survival time of GBM and LGG patients with the different expression levels of PDRG1.
A. the expression of PDRG1 in glioma tumor samples and normal samples,
B. the survival time of patients with the different expression levels of PDRG1,
C. the survival time of GBM and LGG patients with the different expression levels of PDRG1.
We observed that the expression of PDRG1 in GBM and LGG was lower in normal samples than in tumor samples, which
verified our hypothesis. What’s more, the survival time of samples with low PDRG1 expression was significantly
higher than that of samples with high PDRG1 expression (Figure 3C). Both OS and RFS can reach the same conclusion.
So again, it verifies our hypothesis. In conclusion, PDRG1 was taken as the target gene for further verification by
cell assay.
Add new information to the Part BBa_K4251024, BBa_K4251025, and BBa_K4251003
1. BBa_K4251024, PRDG1:
The gene p53 and DNA-damage regulated 1 (PDRG1) was first cloned in 2003 as a small molecule that affects the
cellular response to genotoxic stress. An increasing number of studies have confirmed PDRG1 as a tumor marker; the
expression of PDRG1 is elevated in a variety of tumor tissues, such as colorectal, ovarian, lung, breast, and
endometrial cancers.
2. BBa_K4251025, GV248-PDRG1-SiRNA-1
GV248-vector is one of the most commonly used siRNA expression vectors, which uses the hU6 promoter to regulate the
expression of siRNA. The vector contains an EGFP gene to verify if the plasmid was transfected into the host. We
inserted the siRNA1 (BBa_K4251003) which targeted PDRG1, into the AgeI and EcoRI sites and regulated by the hU6
promoter. When expressed in the prokaryotic system, the Amp+ resistance can be used to screen the right colony, when
transfected into mammalian cells, the puromycin resistance could be used to screen the transfected cells.
3. BBa_K4251003, PRDG1-siRNA
siRNA is a double-stranded non-coding RNA molecule, it usually between 20 and 24 base pairs, and it is also known as
silencing RNA and short interfering RNA. siRNAs have very tight target specificity, this anti-sense strand binds to
the target mRNA, and then the target mRNA cleavage is induced. PRDG1-siRNA is designed according to the DNA sequence
of PRDG1, and it’s 21bp long. We insert the siRNA into AgeI and EcoRI sites of the GV248 plasmid, and the correct
plasmid was sent to the company for lentivirus packaging. The lentivirus was then transfected to T98G and U118 TMZ
resistance cell line to knock down the PRDG1 transcripts.
Reference
1. Lee, S. Y. (2016, May 11). Temozolomide resistance in glioblastoma multiforme. Genes & Diseases. Retrieved July
26, 2022, from https://www.sciencedirect.com/science/article/pii/S2352304216300162
2. Jiapaer, S., Furuta, T., Tanaka, S., Kitabayashi, T., & Nakada, M. (2018, October 15). Potential strategies overcoming the temozolomide resistance for glioblastoma. Neurologia medico-chirurgica. Retrieved July 26, 2022, from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6186761/
3. Kato, T., Natsume, A., Toda, H., Iwamizu, H., Sugita, T., Hachisu, R., Watanabe, R., Yuki, K., Motomura, K., Bankiewicz, K., & Wakabayashi, T. (2010, June 3). Efficient delivery of liposome-mediated MGMT-Sirna reinforces the cytotoxity of temozolomide in GBM-initiating cells. Nature News. Retrieved July 26, 2022, from https://www.nature.com/articles/gt201088
4. Project Design: Prof. Jing Ren. He has been participating in our project ideation, especially experiment design.
2. Jiapaer, S., Furuta, T., Tanaka, S., Kitabayashi, T., & Nakada, M. (2018, October 15). Potential strategies overcoming the temozolomide resistance for glioblastoma. Neurologia medico-chirurgica. Retrieved July 26, 2022, from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6186761/
3. Kato, T., Natsume, A., Toda, H., Iwamizu, H., Sugita, T., Hachisu, R., Watanabe, R., Yuki, K., Motomura, K., Bankiewicz, K., & Wakabayashi, T. (2010, June 3). Efficient delivery of liposome-mediated MGMT-Sirna reinforces the cytotoxity of temozolomide in GBM-initiating cells. Nature News. Retrieved July 26, 2022, from https://www.nature.com/articles/gt201088
4. Project Design: Prof. Jing Ren. He has been participating in our project ideation, especially experiment design.