scholarly journals COVID-19-related coagulopathy – Is transferrin a missing link?

2020 ◽  
Author(s):  
Katie-May McLaughlin ◽  
Marco Bechtel ◽  
Denisa Bojkova ◽  
Mark N. Wass ◽  
Martin Michaelis ◽  
...  
Keyword(s):  
Gene Expression ◽  
Human Gene ◽  
Tissue Expression ◽  
Systematic Investigation ◽  
Gene Products ◽  
Expression Data ◽  
Proteomics Data ◽  
High Confidence ◽  
Infected Cells

AbstractSARS-CoV-2 is the causative agent of COVID-19. Severe COVID-19 disease has been associated with disseminated intravascular coagulation and thrombosis, but the mechanisms underlying COVID-19-related coagulopathy remain unknown. Since the risk of severe COVID-19 disease is higher in males than in females and increases with age, we combined proteomics data from SARS-CoV-2-infected cells with human gene expression data from the Genotype-Tissue Expression (GTEx) database to identify gene products involved in coagulation that change with age, differ in their levels between females and males, and are regulated in response to SARS-CoV-2 infection. This resulted in the identification of transferrin as a candidate coagulation promoter, whose levels increases with age and are higher in males than in females and that is increased upon SARS-CoV-2 infection. A systematic investigation of gene products associated with the GO term “blood coagulation” did not reveal further high confidence candidates, which are likely to contribute to COVID-19-related coagulopathy. In conclusion, the role of transferrin should be considered in the course of COVID-19 disease and further examined in ongoing clinic-pathological investigations.

scholarly journals Collaborative Cross Founder Expression Analysis (CCFEA)

2021 ◽  
Author(s):  
Richard R Green ◽  
Renee C Ireton ◽  
Martin Ferris ◽  
Kathleen Muenzen ◽  
David R Crosslin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Genetic Variation ◽  
Gene Expression Data ◽  
Viral Infections ◽  
Collaborative Cross ◽  
Visualization Tool ◽  
Expression Data ◽  
Individual Gene ◽  
Rnaseq Data

To understand the role of genetic variation in SARS and Influenza infections we developed CCFEA, a shiny visualization tool using public RNAseq data from the collaborative cross (CC) founder strains (A/J, C57BL/6J, 129s1/SvImJ, NOD/ShILtJ, NZO/HILtJ, CAST/EiJ, PWK/PhJ, and WSB/EiJ). Individual gene expression data is displayed across founders, viral infections and days post infection.

scholarly journals Can We Assume the Gene Expression Profile as a Proxy for Signaling Network Activity?

Biomolecules ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 850 ◽  
Author(s):  
Mehran Piran ◽  
Reza Karbalaei ◽  
Mehrdad Piran ◽  
Jehad Aldahdooh ◽  
Mehdi Mirzaie ◽  
...  
Keyword(s):  
Gene Expression ◽  
Signaling Pathways ◽  
Differentially Expressed Genes ◽  
Expression Profile ◽  
Signaling Network ◽  
Differentially Expressed ◽  
Network Activity ◽  
Gene Products ◽  
Expression Data ◽  
Gene Pairs

Studying relationships among gene products by expression profile analysis is a common approach in systems biology. Many studies have generalized the outcomes to the different levels of central dogma information flow and assumed a correlation of transcript and protein expression levels. However, the relation between the various types of interaction (i.e., activation and inhibition) of gene products to their expression profiles has not been widely studied. In fact, looking for any perturbation according to differentially expressed genes is the common approach, while analyzing the effects of altered expression on the activity of signaling pathways is often ignored. In this study, we examine whether significant changes in gene expression necessarily lead to dysregulated signaling pathways. Using four commonly used and comprehensive databases, we extracted all relevant gene expression data and all relationships among directly linked gene pairs. We aimed to evaluate the ratio of coherency or sign consistency between the expression level as well as the causal relationships among the gene pairs. Through a comparison with random unconnected gene pairs, we illustrate that the signaling network is incoherent, and inconsistent with the recorded expression profile. Finally, we demonstrate that, to infer perturbed signaling pathways, we need to consider the type of relationships in addition to gene-product expression data, especially at the transcript level. We assert that identifying enriched biological processes via differentially expressed genes is limited when attempting to infer dysregulated pathways.

Gene Expression Mining Guided by Background Knowledge

2011 ◽  
pp. 268-292
Author(s):  
Jirí Kléma ◽  
Filip Železný ◽  
Igor Trajkovski ◽  
Filip Karel ◽  
Bruno Crémilleux
Keyword(s):  
Gene Expression ◽  
Gene Expression Data ◽  
Descriptive Analysis ◽  
Background Knowledge ◽  
Heterogeneous Data ◽  
Expression Data ◽  
Heterogeneous Data Sources ◽  
Biological Entities ◽  
Quantitative Association Rule

This chapter points out the role of genomic background knowledge in gene expression data mining. The authors demonstrate its application in several tasks such as relational descriptive analysis, constraintbased knowledge discovery, feature selection and construction or quantitative association rule mining. The chapter also accentuates diversity of background knowledge. In genomics, it can be stored in formats such as free texts, ontologies, pathways, links among biological entities, and many others. The authors hope that understanding of automated integration of heterogeneous data sources helps researchers to reach compact and transparent as well as biologically valid and plausible results of their gene-expression data analysis.

scholarly journals Searching for master regulators of transcription in a human gene expression data set

2007 ◽  
Vol 1 (S1) ◽  
Author(s):  
Alfonso Buil ◽  
Alexandre Perera-Lluna ◽  
Ramon Souto ◽  
Juan M Peralta ◽  
Laura Almasy ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Data ◽  
Human Gene ◽  
Expression Data ◽  
Data Set ◽  
Master Regulators ◽  
Human Gene Expression

scholarly journals GEDS: A Gene Expression Display Server for mRNAs, miRNAs and Proteins

Cells ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 675 ◽  
Author(s):  
Xia ◽  
Liu ◽  
Zhang ◽  
Guo
Keyword(s):  
Gene Expression ◽  
Cell Lines ◽  
Gene Expression Data ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Cancer Cell Line ◽  
Tissue Expression ◽  
The Cancer Genome Atlas ◽  
Expression Data ◽  
Protein Levels

High-throughput technologies generate a tremendous amount of expression data on mRNA, miRNA and protein levels. Mining and visualizing the large amount of expression data requires sophisticated computational skills. An easy to use and user-friendly web-server for the visualization of gene expression profiles could greatly facilitate data exploration and hypothesis generation for biologists. Here, we curated and normalized the gene expression data on mRNA, miRNA and protein levels in 23315, 9009 and 9244 samples, respectively, from 40 tissues (The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GETx)) and 1594 cell lines (Cancer Cell Line Encyclopedia (CCLE) and MD Anderson Cell Lines Project (MCLP)). Then, we constructed the Gene Expression Display Server (GEDS), a web-based tool for quantification, comparison and visualization of gene expression data. GEDS integrates multiscale expression data and provides multiple types of figures and tables to satisfy several kinds of user requirements. The comprehensive expression profiles plotted in the one-stop GEDS platform greatly facilitate experimental biologists utilizing big data for better experimental design and analysis. GEDS is freely available on http://bioinfo.life.hust.edu.cn/web/GEDS/.

scholarly journals An Unbiased Approach to Mapping the Signaling Network of the Pseudorabies Virus US3 Protein

Pathogens ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 916
Author(s):  
Robert J. J. Jansens ◽  
Sandra Marmiroli ◽  
Herman W. Favoreel
Keyword(s):  
Gene Expression ◽  
Protein Kinase ◽  
Pseudorabies Virus ◽  
Signaling Network ◽  
Cellular Proteins ◽  
Future Research ◽  
Nuclear Egress ◽  
Infected Cells ◽  
Important Virulence Factor

The US3 serine/threonine protein kinase is conserved among the alphaherpesvirus family and represents an important virulence factor. US3 plays a role in viral nuclear egress, induces dramatic alterations of the cytoskeleton, represses apoptosis, enhances gene expression and modulates the immune response. Although several substrates of US3 have been identified, an unbiased screen to identify US3 phosphorylation targets has not yet been described. Here, we perform a shotgun and phosphoproteomics analysis of cells expressing the US3 protein of pseudorabies virus (PRV) to identify US3 phosphorylation targets in an unbiased way. We identified several cellular proteins that are differentially phosphorylated upon US3 expression and validated the phosphorylation of lamin A/C at serine 404, both in US3-transfected and PRV-infected cells. These results provide new insights into the signaling network of the US3 protein kinase and may serve as a basis for future research into the role of the US3 protein in the viral replication cycle.

scholarly journals Low E2F2 activity is associated with high genomic instability and PARPi resistance

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jonathan P. Rennhack ◽  
Eran R. Andrechek
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Cell Cycle ◽  
Dna Repair ◽  
Human Breast Cancer ◽  
Metabolic Reprogramming ◽  
Patient Treatment ◽  
Expression Data ◽  
Human Breast

Abstract The E2F family, classically known for a central role in cell cycle, has a number of emerging roles in cancer including angiogenesis, metabolic reprogramming, metastasis and DNA repair. E2F1 specifically has been shown to be a critical mediator of DNA repair; however, little is known about DNA repair and other E2F family members. Here we present an integrative bioinformatic and high throughput drug screening study to define the role of E2F2 in maintaining genomic integrity in breast cancer. We utilized in vitro E2F2 ChIP-chip and over expression data to identify transcriptional targets of E2F2. This data was integrated with gene expression from E2F2 knockout tumors in an MMTV-Neu background. Finally, this data was compared to human datasets to identify conserved roles of E2F2 in human breast cancer through the TCGA breast cancer, Cancer Cell Line Encyclopedia, and CancerRx datasets. Through these methods we predict that E2F2 transcriptionally regulates mediators of DNA repair. Our gene expression data supports this hypothesis and low E2F2 activity is associated with a highly unstable tumor. In human breast cancer E2F2, status was also correlated with a patient’s response to PARP inhibition therapy. Taken together this manuscript defines a novel role of E2F2 in cancer progression beyond cell cycle and could impact patient treatment.

scholarly journals Multiple Blocks to Human Immunodeficiency Virus Type 1 Replication in Rodent Cells

2000 ◽  
Vol 74 (21) ◽  
pp. 9868-9877 ◽  
Author(s):  
Paul D. Bieniasz ◽  
Bryan R. Cullen
Keyword(s):  
Gene Expression ◽  
Human Immunodeficiency Virus ◽  
Cell Lines ◽  
Infectious Virus ◽  
Human Gene ◽  
Human Cells ◽  
Gene Products ◽  
Immunodeficiency Virus ◽  
Hiv 1

ABSTRACT The recent identification of human gene products that are required for early steps in the human immunodeficiency virus type 1 (HIV-1) life cycle has raised the possibility that rodents might be engineered to support HIV-1 infection. Therefore, we have examined the ability of modified mouse, rat, and hamster cell lines to support productive HIV-1 replication. Rodent cells, engineered to support Tat function by stable expression of a permissive cyclin T1 protein, proved to be able to support reverse transcription, integration, and early gene expression at levels comparable to those observed in human cell lines. Surprisingly, however, levels of CD4- and coreceptor-dependent virus entry were reduced to a variable but significant extent in both mouse and rat fibroblast cell lines. Additional posttranscriptional defects were observed, including a reduced level of unspliced HIV-1 genomic RNA and reduced structural gene expression. Furthermore, the HIV-1 Gag precursor is generally inefficiently processed and is poorly secreted from mouse and rat cells in a largely noninfectious form. These posttranscriptional defects, together, resulted in a dramatically reduced yield of infectious virus (up to 10,000-fold) over a single cycle of HIV-1 replication, as compared to human cells. Interestingly, these defects were less pronounced in one hamster cell line, CHO, which not only was able to produce infectious HIV-1 particles at a level close to that observed in human cells, but also could support transient, low-level HIV-1 replication. Importantly, the blocks to infectious virus production in mouse and rat cells are recessive, since they can be substantially suppressed by fusion with uninfected human cells. These studies imply the existence of one or more human gene products, either lacking or nonfunctional in most rodent cells that are critical for infectious HIV-1 virion morphogenesis.

scholarly journals Endosialin and Associated Protein Expression in Soft Tissue Sarcomas: A Potential Target for Anti-Endosialin Therapeutic Strategies

Sarcoma ◽  
2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Daniel J. O’Shannessy ◽  
Hongyue Dai ◽  
Melissa Mitchell ◽  
Shane Huntsman ◽  
Stephen Brantley ◽  
...  
Keyword(s):  
Gene Expression ◽  
Soft Tissue ◽  
Protein Expression ◽  
Soft Tissue Sarcomas ◽  
Tissue Expression ◽  
Tissue Type ◽  
Expression Data ◽  
Interacting Protein ◽  
Undifferentiated Sarcoma ◽  
Tumor Types

Endosialin (CD248, TEM-1) is expressed in pericytes, tumor vasculature, tumor fibroblasts, and some tumor cells, including sarcomas, with limited normal tissue expression, and appears to play a key role in tumor-stromal interactions, including angiogenesis. Monoclonal antibodies targeting endosialin have entered clinical trials, including soft tissue sarcomas. We evaluated a cohort of 94 soft tissue sarcoma samples to assess the correlation between gene expression and protein expression by immunohistochemistry for endosialin and PDGFR-β, a reported interacting protein, across available diagnoses. Correlations between the expression of endosialin and 13 other genes of interest were also examined. Within cohorts of soft tissue diagnoses assembled by tissue type (liposarcoma, leiomyosarcoma, undifferentiated sarcoma, and other), endosialin expression was significantly correlated with a better outcome. Endosialin expression was highest in liposarcomas and lowest in leiomyosarcomas. A robust correlation between protein and gene expression data for both endosialin and PDGFR-βwas observed. Endosialin expression positively correlated with PDGFR-βand heparin sulphate proteoglycan 2 and negatively correlated with carbonic anhydrase IX. Endosialin likely interacts with a network of extracellular and hypoxia activated proteins in sarcomas and other tumor types. Since expression does vary across histologic groups, endosialin may represent a selective target in soft tissue sarcomas.

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