Multi-omics characterization of Microtubule-actin cross linking factor 1 (MACF1) using the ISB-Cancer Genomics Cloud

被引:0
|
作者
Bailey, Dondra [1 ]
Abdilleh, Kawther [2 ]
Aguilar, Boris [3 ]
McClary, Alexis [1 ]
机构
[1] Coppin State Univ, Dept Nat Sci, Baltimore, MD 21216 USA
[2] Gen Dynam Informat Technol, Inst Syst Biol Canc Genom Cloud ISB CGC, Rockville, MD USA
[3] Inst Syst Biol, Inst Syst Biol Canc Genom Cloud ISB CGC, Seattle, WA USA
基金
美国国家卫生研究院;
关键词
MACF1; Cell Polarity and Cancer; Multi-omics data integration; Cloud Computing; BigQuery;
D O I
10.1145/3388440.3414918
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Establishment of cell polarity across cell types and organisms involves distinct mechanisms that follow a common pattern: first a polarity cue arises, followed by asymmetric organization executed by polarity proteins. Loss of cell polarity has a key role in cancer development. The MACF1 gene, Microtubule actin cross-linking factor 1, or MACF1, a cytoskeletal protein is involved in oocyte development, cell proliferation, and cell migration. In addition to these roles, MACF1 is linked to metastatic invasion leading to tumor progression in numerous human cancers including gynecological cancers of endometrial and ovarian cancer. Given the functional importance of cell polarity, here we provide computational evidence of MACF1 in gynecological cancers. The comparison of mult-iomic data for patient tumor and normal cells facilitates the understanding of the molecular mechanisms that contribute to tumor cell proliferation, abnormal cell adhesion and cell migration. Leveraging the rich datasets hosted by the NCI-funded ISB-Cancer Genomics Cloud, we performed a cloudbased patient cohort analysis across diverse multi-omics datasets. We quantified differential gene expression profiles from patients in the cohort as well as identified somatic mutation differences. The most common genomic alteration for MACF1 was the in-frame mutation. Genomic alterations and mutations were aligned to functional domains of the MACF1 protein to determine both frequency and spatial distribution. Gene-gene expression correlation analyses identified statistically significant correlations between MACF1 and other well-known cancer driver genes. Together, using a data driven cloud-computing approach we gain novel insights into the role of MACF1 regulation of cell polarity in the progression of cancer.
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页数:1
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