1st International and 10th National Iranian Conference on Bioinformatics
Home Accepted Papers
Interconnectedness of Metastasis and Invasion at single-cell resolution
Paper ID : 1468-ICB10
Authors:
Delaram Jebreili Rizi, Modjtaba Emadi - Baygi *
گروه ژنتیک، دانشکده علوم پایه، دانشگاه شهرکرد، شهرکرد، ایران
Abstract:
Single-cell sequencing-based methods are changing whole-organism sciences by opening up new opportunities for investigating complex ecosystems, particularly cancers [1]. It gives researchers an excellent chance to analyze the functional states of cancer cells at single-cell resolution, allowing them to investigate the functional heterogeneity of cancer cells and gain a better understanding of cancer cells as functional units performing specific biological functions in the initiation and progression of cancer [2]. Because metastasis and invasion are mostly responsible for cancer mortality and morbidity, understanding how they interact cooperatively or competitively throughout the tumor's lifecycle is crucial. Therefore, by identifying specific patterns of gene expression in single cells, we will clarify the mechanisms behind tumor invasion and metastasis, which are critical for preventing cancer from spreading and simplifying its treatment [3-5]. For this purpose, we established a computational analysis based on CancerSEA and Omnipath database by employing the Omnipath and GOfuncR packages in R software to look for genes that are shared by these two functional states and result in shared phenotypes. We found that among, 41900 cancer single cells in 25 different human cancers, there are only 5 protein-coding genes (PCGs) (including ACTB, ANXA2, CFL1, STMMN1, and YWHAZ) that are associated with 178 significant phenotypes (GO terms). According to our findings, these five PCGs may be critical genes in metastasis and invasion since they affect cell membrane, cell adhesion, cell movement, cell polarity, vesicle budding and fusion, cytoskeleton organization, and signal transduction. To be concluded, our results may pave the way for considering these five PCGs as plausible promising targets for targeted therapy.
Keywords:
Cancer; Phenotype; Single cell; Invasion; Metastasis; Functional states
Status : Paper Accepted (Poster Presentation)