NF-κB drives epithelial-mesenchymal mechanisms of lung fibrosis in a translational lung cell model
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J. Ryge | P. Blattmann | E. White | J. Bergmann | O. Nayler | Manuel Stritt | Magdalena Birker-Robaczewska | R. Studer | B. Renault | M. Boucher | U. Lüthi | Diego Freti | P. Sieber | A. Schäfer | R. Lieberherr | Silvia L Caimi | Francois Le Goff | Patrick Rammelt | Bruno Sempere | Jan H. Bergmann
[1] Malte D. Luecken,et al. An integrated cell atlas of the human lung in health and disease , 2022, bioRxiv.
[2] M. Efremova,et al. CellPhoneDB: inferring cell–cell communication from combined expression of multi-subunit ligand–receptor complexes , 2020, Nature Protocols.
[3] Mark D. Robinson,et al. pipeComp, a general framework for the evaluation of computational pipelines, reveals performant single cell RNA-seq preprocessing tools , 2020, Genome Biology.
[4] Manuel Stritt,et al. Orbit Image Analysis: An open-source whole slide image analysis tool , 2019, bioRxiv.
[5] Stefano Monti,et al. hypeR: An R Package for Geneset Enrichment Workflows , 2019, bioRxiv.
[6] R. Satija,et al. Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression , 2019, Genome Biology.
[7] A. Butte,et al. Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage , 2018, Nature Immunology.
[8] R. Welford,et al. Novel high–throughput myofibroblast assays identify agonists with therapeutic potential in pulmonary fibrosis that act via EP2 and EP4 receptors , 2018, PloS one.
[9] Luke Zappia,et al. Clustering trees: a visualization for evaluating clusterings at multiple resolutions , 2018, bioRxiv.
[10] Hannah A. Pliner,et al. Reversed graph embedding resolves complex single-cell trajectories , 2017, Nature Methods.
[11] Russell B. Fletcher,et al. Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics , 2017, bioRxiv.
[12] Alexander Lex,et al. UpSetR: an R package for the visualization of intersecting sets and their properties , 2017, bioRxiv.
[13] Mariella G. Filbin,et al. Single-cell RNA-seq supports a developmental hierarchy in human oligodendroglioma , 2016, Nature.
[14] Andrew D. Rouillard,et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update , 2016, Nucleic Acids Res..
[15] P. Linsley,et al. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data , 2015, Genome Biology.
[16] Xiao-Jun Ma,et al. Quantitative ultrasensitive bright-field RNA in situ hybridization with RNAscope. , 2014, Methods in molecular biology.
[17] Edward Y. Chen,et al. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool , 2013, BMC Bioinformatics.
[18] Davis J. McCarthy,et al. Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation , 2012, Nucleic acids research.
[19] J. Flanagan,et al. RNAscope: a novel in situ RNA analysis platform for formalin-fixed, paraffin-embedded tissues. , 2012, The Journal of molecular diagnostics : JMD.
[20] Helga Thorvaldsdóttir,et al. Molecular signatures database (MSigDB) 3.0 , 2011, Bioinform..
[21] Mark D. Robinson,et al. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data , 2009, Bioinform..
[22] Lokesh Kumar,et al. Mfuzz: A software package for soft clustering of microarray data , 2007, Bioinformation.
[23] Matthias E. Futschik,et al. Noise-robust Soft Clustering of Gene Expression Time-course Data , 2005, J. Bioinform. Comput. Biol..
[24] P. Shannon,et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. , 2003, Genome research.
[25] F. Speleman,et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes , 2002, Genome Biology.