Tag: cytoscape

Three families of Asgard archaeal viruses identified in metagenome-assembled genomes

Liu, Y. et al. Expanded diversity of Asgard archaea and their relationships with eukaryotes. Nature 593, 553–557 (2021). CAS  PubMed  Google Scholar  Dombrowski, N., Teske, A. P. & Baker, B. J. Expansive microbial metabolic versatility and biodiversity in dynamic Guaymas Basin hydrothermal sediments. Nat. Commun. 9, 4999 (2018). PubMed  PubMed…

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Potential SARS-CoV-2 antivirals based on host miRNAs

A recent research paper posted to the bioRxiv* preprint server demonstrated micro ribonucleic acids (miRNAs) as potential antiviral options against various coronaviruses (CoVs), including severe acute respiratory syndrome CoV 2 (SARS-CoV-2). Study: Deciphering inhibitory mechanism of coronavirus replication through host miRNAs-RNA-dependent RNA polymerase (RdRp) interactome. Image Credit: ART-ur / Shutterstock Background Despite what…

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cytoscape – Issue with iCTNet2 installation

Has anyone encountered this same installation issue of iCTNet2? I encountered this issue for installation of iCTNet2 via Cytoscape App Manager and similarly via installation from website download/install page. I tried both installations via Cytoscape and via website takes a long time, when both is still installing even 4 hours…

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SARS-CoV-2 ORF8 protein binds to dendritic cells and induces a hyper-inflammatory cytokine storm

In a recent study posted to the bioRxiv* pre-print server, researchers examined how the interaction of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) open reading frame 8 (ORF8) protein with host dendritic cells (DCs) induced cytokine storm. ​​​​​​​Study: The unique ORF8 protein from SARS-CoV-2 binds to human dendritic cells…

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MND1 Expression as a Predictor of Breast Cancer Survival

Introduction Breast cancer (BC) is the most commonly diagnosed cancer in women, and it is the main cause of cancer mortality in women around the world.1 Although standard treatments for breast cancer, including surgery, radiotherapy, chemotherapy, endocrine therapy, targeted therapy, and immunotherapy, have greatly improved during the last few decades.2,3…

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Frontiers | COMMD2 Upregulation Mediated by an ncRNA Axis Correlates With an Unfavorable Prognosis and Tumor Immune Infiltration in Liver Hepatocellular Carcinoma

Introduction Liver hepatocellular carcinoma (LIHC) is the most common type of primary cancer in the liver and third leading cause of cancer-related mortality worldwide (1). Although substantial improvements have been made in LIHC therapy, particularly in molecular targeted therapy and immunotherapy (2, 3), the 5-year survival rate of LIHC is…

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Integrative analysis of eQTL and GWAS summary statistics reveals transcriptomic alteration in Alzheimer brains | BMC Medical Genomics

Significant gene-AD associations With the GWAS summary data from the IGAP and eQTL summary data from BRAINEAC, we performed both SMR and HEIDI tests to estimate the gene-AD associations in three human brain regions: frontal cortex, temporal cortex, and hippocampal regions. For the frontal cortex and hippocampal regions, we obtained…

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Endometriosis-related functional modules and hub genes

Introduction Endometriosis (EMS) is a chronic gynecological disease defined as implantation and periodic growth of the endometrial glands and stroma outside the uterine cavity, causing chronic pelvic pain, severe dysmenorrhea, and infertility in 10% reproductive-age women, among which the infertility rate is approximately 30–50%.1,2 Surgical excision is commonly used for…

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A hypoxia-related signature in lung squamous cell carcinoma

Introduction Lung cancer is the major leading cause of tumour-related deaths throughout the world, while lung squamous cell carcinoma (LUSC) as the second most common histological type of lung cancer.1 Each year, almost 1.8 million people are diagnosed with lung cancer worldwide and 400,000 of these die from LUSC.2,3 Due to…

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Bioinformatics analysis identifies widely expressed genes

1Department of Orthopedics, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People’s Republic of China; 2Department of Pediatrics, The Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China Correspondence: Jun Qian, Department of Orthopedics, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui,…

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Identification of potentially functional circular RNAs hsa_circ_0070934 and hsa_circ_0004315 as prognostic factors of hepatocellular carcinoma by integrated bioinformatics analysis

Rawla, P., Sunkara, T., Muralidharan, P. & Raj, J. P. Update in global trends and aetiology of hepatocellular carcinoma. Contemp. Oncol. (Poznan, Poland) 22, 141–150 (2018). CAS  Google Scholar  Kong, D. et al. Current statuses of molecular targeted and immune checkpoint therapies in hepatocellular carcinoma. Am. J. Cancer Res. 10,…

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networkx vs cytoscape : bioinformatics

Hello, What is generally considered best (= most performant/fastest with call backs and doesn’t take an age to load in a dashboard for example) for making a directed/undirected graph with Dash and Plotly – networkx or cytoscape? I’m guessing cytoscape, as the networkx example looks to be essentially hacking the…

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EMBL-EBI Workshop: Network Analysis with Cytoscape and PSICQUIC

This module provides an introduction to the theory and concepts of network analysis. Attendees will learn how to construct protein-protein interaction networks and subsequently use these to analyse large-scale datasets generated these to by techniques such as RNA-Seq or mass-spec proteomics. The course will focus on giving attendees hands-on experience…

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Role of mobile genetic elements in the global dissemination of the carbapenem resistance gene blaNDM

Wu, W. et al. NDM metallo-β-lactamases and their bacterial producers in health care settings. Clin. Microbiol. Rev. 32, e00115–18 (2019). Yong, D. et al. Characterization of a new metallo-β-lactamase gene, bla NDM-1, and a novel erythromycin esterase gene carried on a unique genetic structure in Klebsiella pneumoniae sequence type 14…

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Identification of Hub Genes Associated with COPD Through Integrated Bi

Introduction Chronic obstructive pulmonary disease (COPD) will become the third leading cause of death worldwide.1,2 The incidence of COPD worldwide is 13.1%3 and is 13.7% in the Chinese population over 40 years of age.4 Emphysema is one of the most common phenotypes.1 Over the past few decades, we have conducted…

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Validation of hub genes in acute pancreatitis

Introduction Acute pancreatitis (AP) is a common disease found in clinics, and requires urgent Hospital admission. The incidence of AP is increasing in recent years worldwide.1 The patients with AP increased from 1,727,789.3 to 2,814,972.3 between 1990 and 2019 in 204 countries and territories.2 Meanwhile, nearly 20% of AP patients…

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Comprehensive circRNA Analyses in Human Vertebrae of GIOP and Its Molecular Mechanism

Circular RNAs (circRNAs) are a novel class of noncoding RNAs that play important roles in human diseases. However, the regulation of circRNAs in glucocorticoid-induced osteoporosis (GIOP) has not been reported. In this study, we performed high-throughput sequencing to identify altered circRNAs in the vertebrae from GIOP patients. A total of…

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Novel diagnostic biomarkers for keloid based on GEO database

Introduction Keloid is excessive fibrosis of the skin that extends beyond the area of injury and does not regress.1 Keloid can occur in the joints and mouth after several years of severe injury, including burns, chemical injury, wound, and surgical incision.2 Keloids on the joints affect the quality of life,…

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Immune-related Prognostic Genes of ccRCC

Introduction Kidney cancer is one of the most commonly diagnosed tumors around the globe.1 According to the statistics from the World Health Organization, annually, there are more than 140,000 RCC-related deaths.2 ccRCC is the most typical subtype of kidney cancer and contributes to the majority of kidney cancer-related deaths.3,4 Until…

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Identification of differentially expressed genes in AF

Defeng Pan,1,* Yufei Zhou,2,* Shengjue Xiao,1,* Yue Hu,3,* Chunyan Huan,1 Qi Wu,1 Xiaotong Wang,1 Qinyuan Pan,1 Jie Liu,1 Hong Zhu1 1Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221004, People’s Republic of China; 2Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital and Institutes of…

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Decoding gene regulation in the fly brain

1. Li, H. et al. Classifying Drosophila olfactory projection neuron subtypes by single-cell RNA sequencing. Cell 171, 1206–1220 (2017). CAS  PubMed  PubMed Central  Google Scholar  2. Davie, K. et al. A single-cell transcriptome atlas of the aging Drosophila brain. Cell 174, 982–998 (2018). CAS  PubMed  PubMed Central  Google Scholar  3….

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Bioinformation Analysis Reveals IFIT1 as Potential Biomarkers in Centr

Introduction Tuberculosis (TB) is considered to be one of the top ten causes of death in the world, about a quarter of the world’s population is infected with M. tuberculosis.1 The World Health Organization (WHO) divides tuberculosis into pulmonary tuberculosis (PTB) and extra-pulmonary tuberculosis (EPTB). Although breakthroughs have been made…

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GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data | BMC Bioinformatics

1. Van den Berge K, Hembach KM, Soneson C, Tiberi S, Clement L, Love MI, Patro R, Robinson MD. RNA sequencing data: Hitchhikers guide to expression analysis. Annu Rev Biomed Data Sci. 2019;2(1):139–73. doi.org/10.1146/annurev-biodatasci-072018-021255. Article  Google Scholar  2. Conesa A, Madrigal P, Tarazona S, Gomez-Cabrero D, Cervera A, McPherson A,…

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Crosstalk between Venous Thromboembolism and Periodontal Diseases: A Bioinformatics Analysis

This article was originally published here Dis Markers. 2021 Dec 10;2021:1776567. doi: 10.1155/2021/1776567. eCollection 2021. ABSTRACT BACKGROUND: This current study applied bioinformatics analysis to reveal the crosstalk between venous thromboembolism (VTE) and periodontitis, as well as the potential role of immune-related genes in this context. METHODS: Expression data were downloaded…

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Adrenal aldosterone-producing adenoma | IJGM

Background Primary hyperaldosteronism (PA) is characterized by spontaneous secretion of excessive aldosterone and inhibition of plasma renin activity.1 The pathogenesis of adrenal aldosterone-producing adenoma (APA) involves the abnormal proliferation of adrenal cortex cells and the excessive secretion of aldosterone, accounting for nearly 30% of PA. Excessive secretion of aldosterone can…

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Establishment of sunitinib-resistant CDX model of ccRCC

Introduction Renal cell carcinoma (RCC) accounts for approximately 2–3% of all malignant tumors, and its prevalence is rising. Metastatic RCC accounts for 25–30% of all RCC cases, and has an exceedingly poor prognosis.1 In 2020, among approximately 430,000 newly discovered cases of RCC, 179,000 died.2 Clear cell renal cell carcinoma…

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Bioinformatics Librarian job with University of Pennsylvania

Bioinformatics Librarian University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that…

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Prognosis Biomarkers via WGCNA in HCC

Introduction According to the cancer statistics reported in 2020, hepatocellular carcinoma (HCC) is the main type of Primary Carcinoma of the Liver and the second leading causes of cancer-related death globally, with a five-year survival rate < 20%.1 Currently, surgical resection, a standard therapy for HCC, contributes to the prognosis…

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Identification of Hub Genes in Patients with Alzheimer Disease and Obs

Introduction Alzheimer’s disease (AD) ranks first among the common dementia type of the world. According to epidemiological investigation from the International Alzheimer’s disease association, about 45 million people has been suffered from AD, and the number is expected to increase to 131 million in 2050.1 Despite the widespread prevalence of…

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Methods to virtually Knockout a gene from a network

Methods to virtually Knockout a gene from a network 0 Hello Everyone! I am wondering if there is any valid method that could be used to virtually knock out a gene from a gene-gene network and study its effect in the whole network? I am aware of this: apps.cytoscape.org/apps/interference Some…

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ModuLand gives non-readable names to nodes

ModuLand gives non-readable names to nodes 0 Hello! Can you please help me with the following? I run ModuLand on the STRING-generated network. As a result I obtain small network, as expected, but the node names are STRING identifiers (like “9606.ENSP00000234798”), not readable gene names. Is there easy way to…

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Parallel genomic responses to historical climate change and high elevation in East Asian songbirds

Extreme environments present profound physiological stress. The adaptation of closely related species to these environments is likely to invoke congruent genetic responses resulting in similar physiological and/or morphological adaptations, a process termed “parallel evolution” (1). Existing evidence shows that parallel evolution is more common at the phenotypic level than at…

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Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Network analysis was applied to evaluate the association of various ecological microbial communities, such as soil, water and rhizosphere. Presented here is a protocol on how to use the WGCNA algorithm to analyze different co-occurrence networks that may occur in the microbial communities due to different ecological environments. This method…

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Identification of circRNA-miRNA-mRNA Regulatory Network and Autophagy Interaction Network in Atrial Fibrillation Based on Bioinformatics Analysis

Background: Circular RNA (circRNA) has been receiving increased attention in the research of atrial fibrillation (AF). Our study aims to find potential circRNAs and identify the circRNA-miRNA-mRNA regulatory network in AF based on bioinformatics analysis. Methods: GSE129409 was retrieved from the Gene Expression Omnibus (GEO) database, and we used R…

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correlation coefficient for node degree distribution

correlation coefficient for node degree distribution 0 Hi, I am trying to calculate correlation coefficient for node degree distribution in Cytoscape v3.8.2. For the obtained node table for my network, I have used “degree” column as x axis for fitting a power-law. However, I don’t understand from node table, which…

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Potenial biomarker in Crohn’s diease via bioinformatics

Introduction Crohn’s disease (CD) and ulcerative colitis are chronic inflammatory disorders of the gastrointestinal tract, with symptoms evolving in a relapsing and remitting manner that comprise the term inflammatory bowel disease (IBD).1 CD is characterized by the involvement of all parts of the intestine, the most common being the terminal…

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BINGO Cytoscape

BINGO Cytoscape 0 How do you interpret GO enrichment results from BINGO plugin in Cytoscape? There are many repetitive GO terms and simple terms e.g. Biological Process. Is there a way to reduce these repetitive terms? I am new to BINGO and GO analysis so any guidance will be really…

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The Construction and Comprehensive Analysis of a ceRNA Immunoregulator

1Department of Cardiology, Xiangtan Central Hospital, Xiangtan, Hunan, People’s Republic of China; 2Department of Cardiology, Guangxi Cardiovascular Institute, The First Affiliated Hospital of Guangxi Medical University, Guangxi, People’s Republic of China; 3Department of Critical Care Medicine, Zhuzhou Central Hospital, Zhuzhou, Hunan, People’s Republic of China Correspondence: Yiqian ZengDepartment of Critical…

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Comprehensive analysis of ceRNA networks to determine genes related to prognosis, overall survival, and immune infiltration in clear cell renal carcinoma

Comput Biol Med. 2021 Nov 20:105043. doi: 10.1016/j.compbiomed.2021.105043. Online ahead of print. ABSTRACT BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is one of the common subtypes of kidney cancer. Circular RNAs (circRNAs) act as competing endogenous RNAs (ceRNAs) to affect the expression of microRNAs (miRNAs), and hence the expression of…

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Construction of a circRNA-miRNA-mRNA Regulated Pathway Involved in EGFR-TKI Lung Adenocarcinoma Resistance

1 Introduction Lung cancer is the leading cause of cancer-related deaths worldwide, with adenocarcinoma as the most common histological subtype.1 In recent years, epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs), such as gefitinib (first generation) and osimertinib (third generation), have been widely used for lung adenocarcinoma patients harboring activated EGFR…

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How to read WGCNA edge file output to find the hub genes_ GO ontology

How to read WGCNA edge file output to find the hub genes_ GO ontology 0 Dear Seniors and members, I am getting close to finish my analysis soon, but I would like to ask two more questions. Hope you do not mind me. Question 1 I have WGCNA edge file…

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Entrez Gene ID

Dear Seniors and all members, Me again!! I hope you do not mind me as a junior in RNAseq and tried to learn and finish my degree. Sorry for another question. I have done WGCNA and was able to identify the module associated with traits and exported data for Gene…

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Bioinformatics analysis pinpoints the pathways involved in intestinal SARS/CoV-2 infection

Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is a positive-strand RNA virus, which appears spherical under a transmission electron microscope. Many studies have shown that SARS-CoV-2 infects host cells via the interaction between the viral spike protein and the host receptor, angiotensin-converting enzyme II (ACE2). SARS-CoV-2 can spread through…

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WGCNA Analysis Identifies Polycystic Ovary Syndrome-Associated Circula

Introduction Polycystic ovary syndrome (PCOS) is a common endocrine metabolic disorder in women of childbearing age.1 PCOS patients are typically characterized by androgen excess, polycystic ovaries and anovulation, and are often accompanied by insulin resistance and obesity.2 Consequently, patients with this syndrome not only suffer from infertility,3 but also have…

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Importing Network From Wgcna Into Cytoscape

Importing Network From Wgcna Into Cytoscape 2 I have performed wgcna analysis and have obtained 2 files for importing the network into cytoscape, one edge file and another node (attribute) file. The edge file has the following columns: fromNode toNode weight direction fromAltName toAltName Os.9416.1.S1at Os.11330.1.S2at 0.1920219249 undirected Os02g33110.1 Os03g28260.1…

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How to make a species co-occurrence network in Cytoscape?

How to make a species co-occurrence network in Cytoscape? 2 I have list of microbes enriched in test and control samples along with their relative abundance. Now, I want to make a species co-occurrence network where positively (R>0.6; P<0.05) and negatively (R<-0.6; P<0.05) co-related microbes are connected with edges of…

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Pathways visualization as network

Pathways visualization as network 0 Hi, Using C2 pathways from Msigdb, can I draw a cytoscape type network In this each node would be a pathway and edges represent strength of overlap of genes in that pathway. I am aware that this can be done using enrichment map app in…

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CYTOSCAPE AND BIOMARKERS : bioinformatics

Hello! I am a Biomedicine MSc student and it was asked of me to identify potential biomarkers from a set of down and up regulated genes from CSF fluid for Alzheimers Disease! I already did Gene Ontology and now I’m working on interactomes through Cytoscape… For my biomarkers, I downloaded…

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circRNA-miRNA-mRNA regulatory network in atrial fibrillation

Introduction Atrial fibrillation (AF) is the most common type of arrhythmia in clinical practice, with global prevalence continuing to increase primarily with age.1 In China, 6.5 persons out of every thousand suffer from AF, and there are about 3.9 million patients with AF who are over 60 years old, but…

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CRISPR screens unveil signal hubs for nutrient licensing of T cell immunity

1. Chapman, N. M., Boothby, M. R. & Chi, H. Metabolic coordination of T cell quiescence and activation. Nat. Rev. Immunol. 20, 55–70 (2020). CAS  PubMed  Google Scholar  2. Kim, J. & Guan, K. L. mTOR as a central hub of nutrient signalling and cell growth. Nat. Cell Biol. 21,…

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Genes and Pathways Involved in Postmenopausal Osteoporosis

Introduction Many postmenopausal women suffer from postmenopausal osteoporosis (PMO). A survey of 3247 Italian postmenopausal women found that according to bone mineral density (BMD) diagnostic criteria, the prevalence of osteoporosis was 36.6%.1 PMO patients may suffer from chronic pain and fractures, and as a result their quality of life is…

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[Analysis on the expression profile of circRNAs in hypertrophic myocardium mice]

Objective: To explore the differential expression of circRNAs and their potential impact on the pathophysiological process in cardiac hypertrophy. Methods: Six SPF C57BL/6J male mice, aged 8 to 10 weeks, were randomly divided into transverse aortic constriction (TAC) group (n=3) or sham operation(sham) group (n=3) according to random number table…

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Correlation Network with Cytoscape

Correlation Network with Cytoscape 0 I performed differential expression analysis of two different diseases and I have a list of DE human genes. I also have the logfc and p values .I want to visualise these in Cytoscape (as a correlation network between the 2 diseases). Are the logfc and…

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DEG visualisation with Cytoscape

DEG visualisation with Cytoscape 0 I performed differential expression analysis and I have a list of DE human genes. I want to visualise these in Cytoscape (showing up and down regulated proteins with different shapes and sizes and size of nodes on base of level of expression) but this requires…

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Comparing the whole genelist by GSEA GO BP terms to adjusted pvalue genelist by DAVID GO BP terms

Comparing the whole genelist by GSEA GO BP terms to adjusted pvalue genelist by DAVID GO BP terms 0 Say I have done DESeq2 on my RNA-Seq dataset: experimental vs. control DESeq2 has a column for BH – adjusted Pvalues and I plan to take the genes with less than…

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Candidate genes associated with synovial macrophages

Jia Xu,1 Ming-Ying Zhang,2 Wei Jiao,1 Cong-Qi Hu,1 Dan-Bin Wu,2 Jia-Hui Yu,1 Guang-Xing Chen2,3 1First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, 510405, Guangdong, People’s Republic of China; 2Department of Rheumatology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510405, Guangdong, People’s Republic of China;…

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Bioconductor – Bioconductor 3.14 Released

Home Bioconductor 3.14 Released October 27, 2021 Bioconductors: We are pleased to announce Bioconductor 3.14, consisting of 2083 software packages, 408 experiment data packages, 904 annotation packages, 29 workflows and 8 books. There are 89 new software packages, 13 new data experiment packages, 10 new annotation packages, 1 new workflow,…

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Postdoctoral Researcher (Maastricht University) in Bioinformatics to make FAIR data analysis real

Postdoctoral Researcher in Bioinformatics to make FAIR data analysis real – FHML/NUTRIM/Department of Bioinformatics (BiGCaT) at Maastricht University. Deadline: 9 November 2021 Specifications: Postdoc / Natural sciences; Health / 36—40 hours per week / €2790—€4402 per month For more information and to apply, see Academic Transfer: AT2021.264 The department Bioinformatics…

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Postdoctoral Researcher in Bioinformatics to make FAIR data analysis real – FHML/NUTRIM/Department of Bioinformatics

The Department of Bioinformatics-BiGCaT is part of NUTRIM School of Nutrition and Translational Research in Metabolism at the Faculty of Health, Medicine and Life Sciences. It was founded in 2001 by Prof. dr. Chris Evelo aiming at employing bioinformatics approaches in systems biology to integrate experimental data and data with…

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About Differential gene expression analysis

About Differential gene expression analysis 0 i got a confusion in TF ,miRNA network generation.I determined my common DEG from two different dataset.After i did GRN I found the TF for all of my 4 common DEG but miRNA only found for one common DEG.So what should be the interpretation…

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Postdoctoral Researcher in Bioinformatics/Toxicoinformatics, 1.0 fte (4yrs), Maastricht University

Postdoctoral Researcher in Bioinformatics/Toxicoinformatics, 1.0 fte (4yrs) – Faculty of Health, Medicine and Life Sciences/School NUTRIM/Department of Bioinformatics – BiGCaT, in collaboration with TNO-Utrecht Deadline: 19 November 2021 Apply: Academic Transfer AT2021.402 Safety assessment without laboratory animals requires a computational infrastructure. Maastricht University is looking for a postdoc to contribute…

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Identification of Significant Genes in Lung Cancer of Nonsmoking Women via Bioinformatics Analysis

This article was originally published here Biomed Res Int. 2021 Oct 11;2021:5516218. doi: 10.1155/2021/5516218. eCollection 2021. ABSTRACT BACKGROUND: The aim of this study was to identify potential key genes, proteins, and associated interaction networks for the development of lung cancer in nonsmoking women through a bioinformatics approach. METHODS: We used…

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LncRNA MIAT services as a noninvasive biomarker

Introduction BC is the most common cancer among women that is responsible for the most of the cancer-related death in worldwide.1 The occurrence of BC accounts for 7–8% of the entire number of malignant tumors.2 Accumulating evidence have shown that immunoreaction plays an important role in oncogenesis and progression.3,4 However,…

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Difference between string app and string database results

Difference between string app and string database results 0 Hello guys, I am using Cytoscape and I am importing the string results for the same input query from both string app and string database. But there is a difference between both string app and string database results for the same…

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Severe trauma and burns accompanied by sepsis

Introduction Trauma accounts for approximately 10% of deaths and 16% of disabilities worldwide.1 Billions of dollars have been spent on research into new biological therapeutics for severe injuries, as well as post-traumatic sepsis and septic shock.2 Burn injuries cause unpredictable trauma and sepsis is a complication associated with high morbidity…

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A TME-Related Signature as a Biomarker in Liver Cancer

Introduction As one of the most frequent causes of cancer deaths across the globe, liver cancer, characterized by high mortality, recurrence, metastasis and poor prognosis, is the only one of the top five deadliest cancers to have an annual percentage increase in occurrence.1 Surgery, local destructive therapies, and liver transplantation…

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how to plot correlation data in R

how to plot correlation data in R 0 Hi, I have got spearman’s correlation and P value like below in two separate files. Could anyone please suggest how I can make an input file after filtering strong, and significant correlation from these two files? I just want to take pVal<.01,abs(correlation)>.4….

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Identification of antineoplastic agents for oral squamous cell carcinoma: an integrated bioinformatics approach using differential gene expression and network biology

Abstract Oral squamous cell carcinoma (OSCC) is the most common malignant epithelial neoplasm and anatomical subtype of head and neck squamous cell carcinoma (HNSCC) with an average 5-year survival rate of less than 50%. To improve the survival rate of OSCC, the discovery of novel anti-cancer drugs is urgently needed….

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ANGPTL8/betatrophin improves glucose tolerance | DMSO

Introduction Insulin resistance is a major risk factor for metabolic syndrome (MetS), including type 2 diabetes mellitus (T2DM).1 T2DM is characterized by insulin resistance in the liver.2 Insulin resistance is an abnormal physiological state that occurs when cells are unable to use insulin effectively, leading to T2DM, a major health…

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Importing WGCNA edge and node files into Cytoscape

I’ve used the WGCNA packages (horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/) to generate edge and node files for use in Cytoscape. cyt = exportNetworkToCytoscape(modTOM, edgeFile = file.path(“./environment”, paste(label, “_CytoscapeInput-edges-“, paste(modules, collapse=”-“), “.txt”, sep=””)), nodeFile = file.path(“./environment”, paste(label, “_CytoscapeInput-nodes-“, paste(modules, collapse=”-“), “.txt”, sep=””)), weighted = TRUE, threshold = 0.02, nodeNames = modProbes, altNodeNames = modGenes, nodeAttr…

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SNP-gene network

SNP-gene network 0 Hi everyone, I want to build a network like this using Cystoscope. I didn’t understand how SNPs are integrated into this network. What information do I need for that? All I have right now list of genes containing SNPs and SNP count per gene. Here’s the link…

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What ever happened to CyAttributesUtils & giny ?

What ever happened to CyAttributesUtils & giny ? 1 Hi all, I’m in charge of porting a plugin from the version 2.x to a Cytoscape 3.x bundle app. It seems that the old version of cytoscape was dependent on giny, so for the new one what package I must use? I…

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Networks visualization

Networks visualization 0 Hi. I am new to Cytoscape and would appreciate some help. I am working with 3 networks each of which has the same nodes but different edges. I would like to visualize the networks, so that the nodes are positioned identically in each network, and edge differences…

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Cytochrome P450-2D6: A novel biomarker in liver cancer health disparity

This article was originally published here PLoS One. 2021 Oct 1;16(10):e0257072. doi: 10.1371/journal.pone.0257072. eCollection 2021. ABSTRACT Liver cancer morbidity and mortality rates differ among ethnic groups. In the United States, the burden of liver cancer in Asian Americans (AS) is higher compared to Caucasian Americans (CA). Research on liver cancer…

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Exclude pseudogenes and lncRNA’s from DE-analysis?

Hi all, Let’s start off to thank the ones that helped me lately. I almost feel bad for how many questions I have asked in the last weeks, but the answers were always of great help, so thanks for that! And yet I have another question. As described in my…

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Research software engineer supporting open-source bioinformatics software and services (0.6fte) at Department of BioInformatics-BiGCaT

Category Research / Academic Location Maastricht We are looking for a scientific programmer interested in joining our bioinformatics department. Your main responsibility will be to support our broad range of open-source bioinformatics software, workflows, and services. Our bioinformatics research aims to answer complex biological questions that cannot be answered with…

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miRNAs and mRNAs in intestinal ischemia-reperfusion injury

Introduction Intestinal ischemia-reperfusion (II/R) injury is a severe clinical complication common in the Intensive Care Unit (ICU). It is associated with high morbidity and mortality.1 Usually, this problem is followed by various causes, including sepsis, shock, trauma, and so on.2 Intestinal ischemia-reperfusion injury destroys intestinal tissue and impairs the function…

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Identification of Prognosis-Associated Biomarkers in Thyroid Carcinoma

Introduction Thyroid cancer (TC) is a common endocrine malignancy with a rapidly increasing incidence worldwide, and the estimated new cases and deaths are notably higher in women than in men.1 Papillary thyroid carcinoma (PTC) is identified as the most common pathological type of TC, and accounts for approximately 80–85% of…

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Classifiers for predicting coronary artery disease

Introduction Coronary artery disease (CAD) is a complex pathology associated with behavioral and environmental factors.1–3 CAD shows high prevalence and is associated with a high fatality rate among cardiovascular diseases. The main manifestations of CAD are stable or unstable angina pectoris and identifiable or unrecognized myocardial infarction.4 The main risk…

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How to depict edges as an indicator of no. of frames in which two residue interact in Residue interaction network using Cytoscape?

How to depict edges as an indicator of no. of frames in which two residue interact in Residue interaction network using Cytoscape? 1 I am using RIP-MD tool to generate Residue interaction network from MD trajectories. the tool generates GML files which I load in Cytoscape. I want to visualise…

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How to download data for visualising and analysing in RINalyzer in Cytoscape.

How to download data for visualising and analysing in RINalyzer in Cytoscape. 1 I am new to this plugin in Cytoscape. I want to visualise RIN from pdb and analyze the network. According to the tutorial we can download daat from RIN data websever. But when I am trying to…

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Gene expression profiling of contralateral dorsal root gangl

Introduction Mirror-image pain (MIP) is a mysterious pain phenomenon which is accompanied with many clinical pain conditions.1 MIP develops from the healthy body region which is contralateral to the actual injured site.1–3 MIP is typically characterized by increased mechanical hypersensitivity on the uninjured mirror-image body side.4 It can be triggered…

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How to construct circRNA-miRNA-mRNA network using cytoscape

How to construct circRNA-miRNA-mRNA network using cytoscape 1 Hi, If I have a selected set of circRNAs, miRNAs, mRNAs, then how can I construct an interaction network among them through Cytoscape. Is there any Cytoscape plugin for that and what should be the input file format? Please guide me to…

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Problem of visualizing results of PPI network

Problem of visualizing results of PPI network 0 Hi,I want to visualize my PPI network into cytoscape or Network analyst .But my ppI node are 661 and edges are 680 and seeds are 15.So i feel problem of visualizing it into cytoscape or Network analyst.Because of huge number of nodes…

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Genome-wide synthetic lethal screen unveils novel CAIX-NFS1/xCT axis as a targetable vulnerability in hypoxic solid tumors

Abstract The metabolic mechanisms involved in the survival of tumor cells within the hypoxic niche remain unclear. We carried out a synthetic lethal CRISPR screen to identify survival mechanisms governed by the tumor hypoxia–induced pH regulator carbonic anhydrase IX (CAIX). We identified a redox homeostasis network containing the iron-sulfur cluster…

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WGCNA (TRAIT DATA)

WGCNA (TRAIT DATA) 0 I had already obtained a group of significant proteins after performing analysis on data obtained from LC-MS. I would like to perform network analysis on selected proteins using WGCNA package in R. Network analysis using WGCNA:- Removed outlier samples and Genes. Identified softpower (Beta) for singed…

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Strategies to learn about a gene of interest from single-cell RNA-seq data

Strategies to learn about a gene of interest from single-cell RNA-seq data 0 Using a large public single-cell RNA-seq dataset from brain where cells are already segregated by brain region, cell type, marker gene cluster, etc. I am looking to do exploratory analyses to learn whatever I can about a…

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How do I start clue GO in R using the cytoscape REST API?

How do I start clue GO in R using the cytoscape REST API? 0 Hi there, I am trying to connect to open the Clue GO application in R using cytoscape REST API. I have the following code: port.number = 1234 host.address <- “localhost” cytoscape.base.url = paste(“http://”,host.address,”:”, toString(port.number), “/v3.11.1″, sep=””)…

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How to merge the edited KEGG pathways in cytoscape

How to merge the edited KEGG pathways in cytoscape 1 I have learnt to import KEGG pathways to cytoscape and merge the pathways without any edits. but I want to differentiate the nodes of each pathways with different colours to understand the pathways of particular gene or molecule. when I…

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Bioinformatician — Biological data and network analysis

  EMBL is seeking to recruit a service Bioinformatician/data scientist at EMBL Heidelberg. The position is available in the group of Peer Bork, and will be integrated in the upcoming data science center at EMBL-Heidelberg from 2022 onwards. The successful candidate will be responsible for disseminating expertise, know-how, and guidance…

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