Identification of a gene regulatory network associated with prion replication
نویسندگان
چکیده
Prions consist of aggregates of abnormal conformers of the cellular prion protein (PrP(C)). They propagate by recruiting host-encoded PrP(C) although the critical interacting proteins and the reasons for the differences in susceptibility of distinct cell lines and populations are unknown. We derived a lineage of cell lines with markedly differing susceptibilities, unexplained by PrP(C) expression differences, to identify such factors. Transcriptome analysis of prion-resistant revertants, isolated from highly susceptible cells, revealed a gene expression signature associated with susceptibility and modulated by differentiation. Several of these genes encode proteins with a role in extracellular matrix (ECM) remodelling, a compartment in which disease-related PrP is deposited. Silencing nine of these genes significantly increased susceptibility. Silencing of Papss2 led to undersulphated heparan sulphate and increased PrP(C) deposition at the ECM, concomitantly with increased prion propagation. Moreover, inhibition of fibronectin 1 binding to integrin α8 by RGD peptide inhibited metalloproteinases (MMP)-2/9 whilst increasing prion propagation. In summary, we have identified a gene regulatory network associated with prion propagation at the ECM and governed by the cellular differentiation state.
منابع مشابه
Bioinformatics identification of miRNA-mRNA regulatory network contributing to lung cancer invasion
Background: Over the past 15 years, significant insights have been gained into the roles of miRNAs in cancer. In various cancers, miRNAs can act as oncogenes, tumor suppressors, or control the metastasis process by modulating the expression of numerous target genes. This study is aimed at determining molecular network of miRNA-mRNA regulating lung cancer invasion, by bioinformatics approaches. ...
متن کاملBioinformatics Identification of miRNA-mRNA Regulatory Network Contributing Primary Lung Cancer
Introduction: In clinical practice, distinguishing invasive lung tumors from primary tumors remains a challenge. With recent advances in understanding biological alterations of tumorigenesis and molecular analytic technologies, using these molecular alterations can be sensitive and tumor-specific as biomarker for the stratification of patients. In this study, the molecular network of miRNA-mRNA...
متن کاملModeling gene regulatory networks: Classical models, optimal perturbation for identification of network
Deep understanding of molecular biology has allowed emergence of new technologies like DNA decryption. On the other hand, advancements of molecular biology have made manipulation of genetic systems simpler than ever; this promises extraordinary progress in biological, medical and biotechnological applications. This is not an unrealistic goal since genes which are regulated by gene regulatory ...
متن کاملNetwork-based transcriptome analysis in salt tolerant and salt sensitive maize (Zea mays L.) genotypes
Identification of genes involved in salinity stress tolerance provides deeper insight into molecular mechanisms underlying salinity tolerance in maize. The present study was conducted in the faculty of agriculture of Urmia university, Iran, in 2018, with the aim of identifying genetic differences between two maize genotypes in tolerance to salinity stress, and the results of gene expression wer...
متن کاملGene Regulation Network Based Analysis Associated with TGF-beta Stimulation in Lung Adenocarcinoma Cells
Background: Transforming growth factor (TGF)-β is over-expressed in a wide variety of cancers such as lung adenocarcinoma. TGF-β plays a major role in cancer progression through regulating cancer cell proliferation and remodeling of the tumor micro-environment. However, it is still a great challenge to explain the phenotypic effects caused by TGF-β stimulation and the effect of TGF-β stimulatio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 33 شماره
صفحات -
تاریخ انتشار 2014