Tag: enrichr
Bioinformatics and system biology approach to identify potential common pathogenesis for COVID-19 infection and osteoarthritis
Hunter, D. J. & Bierma-Zeinstra, S. Osteoarthritis. Lancet 393, 1745–1759 (2019). Article CAS PubMed Google Scholar Puig-Junoy, J. & Ruiz Zamora, A. Socio-economic costs of osteoarthritis: A systematic review of cost-of-illness studies. Semin. Arthritis Rheum. 44, 531–541 (2015). Article PubMed Google Scholar Hunter, D. J., March, L. & Chew, M….
Bioinformatics Analyst II – Seibold Lab job with National Jewish Health
The Seibold Laboratory is a cutting-edge, NIH funded, laboratory focused on elucidating the pathobiological basis of asthma and other complex lung and allergic diseases. Our goal is to discover pathobiological subgroups of disease (termed disease endotypes) and the genetic, environmental, and immune factors driving their development. We are accomplishing these…
Dissociation protocols used for sarcoma tissues bias the transcriptome observed in single-cell and single-nucleus RNA sequencing | BMC Cancer
Single-cell and single-nucleus RNA sequencing of sarcoma subtypes In this work, we studied sarcomas from varying tissue origins, including osteosarcoma (OS), Ewing sarcoma (ES), and desmoplastic small round cell tumor (DSRCT) (Fig. 1). We used different dissociation protocols: Miltenyi Tumor Dissociation Kit, cold-active protease derived from Bacillus licheniformis, and Nuclei EZ…
A non-coding variant linked to metabolic obesity with normal weight affects actin remodelling in subcutaneous adipocytes
Cho, N. H. et al. IDF Diabetes Atlas: global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res. Clin. Pract. 138, 271–281 (2018). Article CAS PubMed Google Scholar Lu, Y. et al. New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk. Nat….
Methanol fixation is the method of choice for droplet-based single-cell transcriptomics of neural cells
hiPSC cell culture and differentiation hiPSCs were maintained on 1:40 matrigel (Corning, #354277) coated dishes in supplemented mTeSR-1 medium (StemCell Technologies, #85850) with 500 U ml−1 penicillin and 500 mg ml−1 streptomycin (Gibco, #15140122). For the differentiation of cortical neurons the protocol described previously21 was followed with slight modifications. Briefly, hiPSC colonies were seeded…
Enrichr-KG: bridging enrichment analysis across multiple libraries
doi: 10.1093/nar/gkad393. Online ahead of print. Affiliations Expand Affiliation 1 Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, NY, NY, USA. Item in Clipboard John Erol Evangelista et al. Nucleic Acids Res. 2023. Show details Display options Display options Format AbstractPubMedPMID doi: 10.1093/nar/gkad393….
Gene Set Enrichment Analysis
Gene Set Enrichment Analysis 1 Once I come to Gene Set analysis, I have faced some confusing about the differences between ORA, GSEA, Pathway analysis . In addition about difference gene set databases: Which once shall I start first and using which tools ? for examples there are clusterProfile package,…
Resurrecting the alternative splicing landscape of archaic hominins using machine learning
Meyer, M. et al. A high-coverage genome sequence from an archaic Denisovan individual. Science 338, 222 (2012). Article CAS PubMed PubMed Central Google Scholar Prüfer, K. et al. The complete genome sequence of a Neanderthal from the Altai Mountains. Nature 505, 43–49 (2014). Article PubMed Google Scholar Prüfer, K. et…
Bioconductor – TDbasedUFEadv
DOI: 10.18129/B9.bioc.TDbasedUFEadv Advanced package of tensor decomposition based unsupervised feature extraction Bioconductor version: Release (3.17) This is an advanced version of TDbasedUFE, which is a comprehensive package to perform Tensor decomposition based unsupervised feature extraction. In contrast to TDbasedUFE which can perform simple the feature selection and the multiomics…
STAGEs: A web-based tool that integrates data visualization and pathway enrichment analysis for gene expression studies
STAGEs is an interactive web app built using Streamlit (www.streamlit.io), and the running instance of the online app can be accessed via the website (kuanrongchan-stages-stages-vpgh46.streamlitapp.com/). The app can also run locally using the instructions detailed in GitHub (github.com/kuanrongchan/STAGES). Users can directly upload data from Excel spreadsheets, csv or txt files…
Different results between clusterProfiler and Enrichr
Different results between clusterProfiler and Enrichr 0 Hi, I first used enrichr and found an intesresting pathway enriched in my geneset. Then I wanted to use clusterProfiler with the same geneset but this time including background genes. My issue is that clusterProfiler gives completely different results compared to enrichr even…
Enrichr Analysis of Nasosorption FX-i proteome and published nasal proteomes
Excel file with tabs containing pathways or terms identified across Nasosorption FX-i datasets and publicly accessible nasal proteomes as described in Chapter 2 of the thesis entitled: “The Nasal Proteome as a Source of Biomarkers for SARS-CoV-2 and Lung Cancer”. Nasal mucus from Nasosorption FX-i devices from patients with COPD,…
Install R-enrichR on macOS with MacPorts
To install R-enrichR, paste this in macOS terminal after installing MacPorts sudo port install R-enrichR Copy More instructions Report an issue with this port If not done already, install MacPorts. To install R-enrichR, run the following command in macOS terminal (Applications->Utilities->Terminal) sudo port install R-enrichR Copy To see what files…
Identifying critical modules/biomarkers of UC by using WGCNA
1Department of Gastroenterology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, 430071, China; 2Hubei Clinical Centre and Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, 430071, China Background: Ulcerative colitis (UC) is a chronic inflammatory disease of the colon and rectum that has no exact cause and…
PUREE: accurate pan-cancer tumor purity estimation from gene expression data
Genomics-based consensus tumor purity estimates For TCGA samples, genomic-based consensus tumor purities were computed as a mean of predictions from ABSOLUTE17, AbsCNSeq18, ASCAT15, and PurBayes16 following the approach reported in Ghoshdastider et al. 41. AbsCNSeq and PurBayes estimates are based on mutation variant allele frequency data, and ASCAT and ABSOLUTE…
A meta-analysis and a functional study support the influence of mtDNA variant m.16519C on the risk of rapid progression of knee osteoarthritis
Introduction Osteoarthritis (OA) is a chronic musculoskeletal disease with a polygenic and heterogeneous nature that involves movable joints. The set of features that take place during the development of the disease lead to consider OA as a severe disease of the whole joint as an organ.1–3 The aetiology of knee…
The Biostar Herald for Tuesday, March 28, 2023
Herald:The Biostar Herald for Tuesday, March 28, 2023 0 The Biostar Herald publishes user submitted links of bioinformatics relevance. It aims to provide a summary of interesting and relevant information you may have missed. You too can submit links here. This edition of the Herald was brought to you by…
Single-cell transcriptome sequencing allows genetic separation, characterization and identification of individuals in multi-person biological mixtures
Bioinformatics pipeline Aiming to genetically separate, characterize, and individually identify persons who contributed to multi-person blood mixtures from single-cell transcriptome sequencing (scRNA-seq) data, we have developed a bioinformatics pipeline called de-goulash (Fig. 1a)24. We applied de-goulash on scRNA-seq datasets that we de-novo generated from multi-person blood mixtures and on in silico…
How to interpret dotplot from enrichment analysis with gseapy?
How to interpret dotplot from enrichment analysis with gseapy? 0 Hello, I used gseapy for enrichment analysis and I am trying to understand the dotplot figure that is generated. This is what the object after enrichment analysis looks like: Below is the figure they produced. I am trying to understand…
Biostar Enrichr
Showing : enrichr • reset updated 11 hours ago by ATpoint ★ 2.2k • written 1 day ago by marinaw ▴ 10 5 months ago angkoo ▴ 10 updated 5.3 years ago by thokall ▴ 160 • written 5.3 years ago by Nithisha ▴ 10 3 results • Page 1…
Understanding “gene ratio” when using plotEnrich(c())
Understanding “gene ratio” when using plotEnrich(c()) 1 @9c8b15cf Last seen 1 hour ago Canada Hi all, I’ve been using the function enrichr(c(). The output is exactly what I wanted (for my purposes) but I have one question regarding the plotEnrich(c()) function: you can plot the output either as y =…
Download stats for experiment package enrichR
Download stats for experiment package enrichR This page was generated on 2023-02-03 22:50:00 -0500 (Fri, 03 Feb 2023). Note that enrichR doesn’t belong to the current release or devel version of Bioconductor anymore. Number of downloads for experiment package enrichR, year by year, from 2023 back to 2009 (years with…
Genome-wide analyses of ADHD identify 27 risk loci, refine the genetic architecture and implicate several cognitive domains
Faraone, S. V. et al. Attention-deficit/hyperactivity disorder. Nat. Rev. Dis. Prim. 1, 15020 (2015). Article Google Scholar Franke, B. et al. The genetics of attention deficit/hyperactivity disorder in adults, a review. Mol. Psychiatry 17, 960–987 (2012). Article CAS Google Scholar Dalsgaard, S., Leckman, J. F., Mortensen, P. B., Nielsen, H….
Single-cell transcriptome analysis reveals cellular heterogeneity in mouse intra- and extra articular ligaments
Amiel, D., Frank, C., Harwood, F., Fronek, J. & Akeson, W. Tendons and ligaments: a morphological and biochemical comparison. J. Orthop. Res. 1, 257–265 (1984). PubMed CAS Google Scholar Lipps, D. B., Wojtys, E. M. & Ashton-Miller, J. A. Anterior cruciate ligament fatigue failures in knees subjected to repeated simulated…
Opposing roles of hepatic stellate cell subpopulations in hepatocarcinogenesis
Villanueva, A. Hepatocellular carcinoma. N. Engl. J. Med. 380, 1450–1462 (2019). CAS PubMed Article Google Scholar Affo, S., Yu, L. X. & Schwabe, R. F. The role of cancer-associated fibroblasts and fibrosis in liver cancer. Annu. Rev. Pathol. 12, 153–186 (2017). CAS PubMed Article Google Scholar Mederacke, I. et al….
Live-seq enables temporal transcriptomic recording of single cells
Biological materials RAW264.7, 293T and HeLa cells were obtained from ATCC. RAW264.7 cells with Tnf-mCherry reporter and relA-GFP fusion protein (RAW-G9 clone) were kindly provided by I.D.C. Fraser (National Institutes of Health). The IBA cell line derived from the stromal vascular fraction of interscapular brown adipose tissue of young male…
Gene Set – TNFSF10
Dataset MSigDB Cancer Gene Co-expression Modules Category transcriptomics Type co-expressed gene Description tumor necrosis factor (ligand) superfamily, member 10|The protein encoded by this gene is a cytokine that belongs to the tumor necrosis factor (TNF) ligand family. This protein preferentially induces apoptosis in transformed and tumor cells, but does not…
Landscape of helper and regulatory antitumour CD4+ T cells in melanoma
Sallusto, F. & Lanzavecchia, A. Heterogeneity of CD4+ memory T cells: functional modules for tailored immunity. Eur. J. Immunol. 39, 2076–2082 (2009). CAS PubMed Article Google Scholar Swain, S. L., McKinstry, K. K. & Strutt, T. M. Expanding roles for CD4+ T cells in immunity to viruses. Nat. Rev. Immunol….
EnrichR website not responding is too vague
I’ve noticed 10 issues related to”EnrichR website not responding”. Is it possible to output some more details about the connection errors when running listEnrichrSites or setEnrichrSite? For example, httr::GET below might return the problem and this would be a much better message than “EnrichR website not responding”. I’m sure there…
Human distal lung maps and lineage hierarchies reveal a bipotent progenitor
Verleden, S. E. et al. Small airways pathology in idiopathic pulmonary fibrosis: a retrospective cohort study. Lancet Respir. Med. 8, 573–584 (2020). CAS PubMed PubMed Central Google Scholar Hogg, J. C., Macklem, P. T. & Thurlbeck, W. M. The resistance of small airways in normal and diseased human lungs. Aspen…
High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
The protocol presented here describes a complete pipeline to analyze RNA-sequencing transcriptome data from raw reads to functional analysis, including quality control and preprocessing steps to advanced statistical analytical approaches. Welcome to the protocol of high-throughput transcriptome analysis for investigating host-pathogen interactions. This protocol is divided in the following steps….
Cluster Profiler output not the same as Enrichr output
Cluster Profiler output not the same as Enrichr output 0 @angkoo-23537 Last seen 18 hours ago United Kingdom Hi there, I have am getting different outputs after running enrichGO on cluster profiler when I put the same genes into enrichR (by Maayan Lab) website. Example here using Biological Process 2021…
Cell Strain-Derived Induced Pluripotent Stem Cells as an Isogenic Approach To Investigate Age-Related Host Response to Flaviviral Infection
INTRODUCTION Dengue is the most common mosquito-borne viral disease globally (1). This acute disease, which can be life-threatening, is caused by four different dengue viruses (DENVs) (DENV-1, DENV-2, DENV-3, and DENV-4). An estimated 390 million people are infected with these DENVs annually (2), and populations throughout the tropics face frequent…
Identification of a four-gene signature & PTC.
Introduction Thyroid carcinoma (THCA) is the most common type of endocrine malignancy and its incidence is increasing.1 Based on its histopathological characteristics, thyroid carcinoma can be classified into multiple subtypes, such as papillary thyroid carcinoma (PTC), follicular thyroid carcinoma, and anaplastic thyroid carcinoma.2 PTC is the most common subtype of…
Identification of a regulatory pathway inhibiting adipogenesis via RSPO2
Integration of APC scRNA-seq data reveals heterogeneity of adipocyte progenitor cells In a previous study9, we defined Lin−Sca1+CD142+ APCs as adipogenesis regulatory (Areg) cells and demonstrated that these cells are both refractory toward adipogenesis and control adipocyte formation of APCs through paracrine signaling. In contrast, Merrick et. al.4 observed that Lin−CD142+ cells…
No results when inputting genes with scores
Hi, I am using EnrichR to analyze my DEGs gotten from limma. I extracted subsets of significant DEGs with their IDs and t-statistics that have been scaled, like the following example: CHI3L1 1.0000000 ARPC1B 0.9605097 SH3D21 0.9303946 FCGBP 0.9165999 MFNG 0.8830144 C2 0.8153162 CTA-398F10.2 0.8459803 CTSD 0.7543101 GRN 0.7503898 CTSB…
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,…
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…
Proper way(s) to perform enrichment analysis in R
I am not sure what is the proper way to carry out over-representation analysis (and also gene set enrichment analysis) for RNAseq data. Ideally, the analysis can be performed in R, otherwise, if the software/ platform can export the output file (also include all the non-statistical-significant term) will also be…