You find the version number of the Web version by hovering over the 3 dots at the bottom left of the screen. You find the version number of the desktop version by clicking on Options at the bottom left in the Welcome Screen. In a prospective, large-scale, international European registry, 3-year survival was estimated at 89 in patients with newly diagnosed CTEPH who underwent pulmonary endarterectomy (PEA) surgery and 70 in those who did not. “We used ATLAS.ti Web (Version 3.15.0-) to complete our work."ĪTLAS.ti Scientific Software Development GmbH. 0 Comments Patients with CTEPH have poor health-related quality of life (HRQoL). “We used ATLAS.ti Mac (Version 22.0.6.0) to complete our work." For more information on this project, please see our preprint by Schupp et al., (2021) : "Integrated Single Cell Atlas of Endothelial Cells of the Human Lung" ().Did you use ATLAS.ti in one of your studies you are publishing in an academic journal? We often receive questions regarding how to correctly cite ATLAS.ti in an article, and although the referencing format and requirements ultimately depend on each journal, we are happy to provide some general advice. Additionally, users can explore cell-specific intercellular communication patterns predicted from the integrated dataset through the 'Connectome Explorer' feature. The Lung Endothelial Cell Atlas (Users can input their favorite gene(s) of interest into one of several visualization tools to assess species- and cell-specific differences in the expression patterns of genes within the lung endothelial cells of mouse and human samples. (2022): "Characterization of the COPD alveolar niche using single-cell RNA sequencing" (). For more information on this project, please see our preprint by Sauler and McDonough et al. Additionally, users can explore cell-specific differences in the intercellular communication of cells within the diseased and healthy states through our 'Interactive Connectome' feature. With the simple click of a button, users can input their favorite gene(s) of interest into one of several visualization tools to assess novel disease- and cell-specific expression patterns within the provided dataset. The COPD Cell Atlas (is a publicly available and interactive webtool designed to facilitate the independent exploration of single-cell RNA sequencing data generated from the lungs of individuals diagnosed with chronic obstructive pulmonary disease (COPD). For more information on this project, please see our manuscript by Unterman and Sumida et al., (2022): "Single-cell multi-omics reveals dyssynchrony of the innate and adaptive immune system in progressive COVID-19" (). Additionally, users can assess cell-specific differences in intercellular communication between diseased and healthy individuals predicted from our data through the new 'Connectome Explorer' feature. The COVID Cell Atlas (is a publicly available and interactive webtool designed to facilitate the independent exploration of single-cell RNA sequencing data generated from the peripheral blood mononuclear cells of patients diagnosed with COVID-19. For more information on the parent project overarching this collaborative effort, please see Adams and Schupp et al., (2020): "Single-cell RNA-seq reveals ectopic and aberrant lung resident-cell populations in idiopathic pulmonary fibrosis" (). For more information on the website itself, please consider checking out Neumark and Cosme Jr. Additionally, a dataset comparison tool is available that allows for the cross-comparison of gene expression patterns across multiple datasets. With the simple click of a button, users can input their favorite gene(s) of interest into one of several visualization tools to assess novel disease- and cell-specific expression patterns within each of the available datasets. The Idiopathic Pulmonary Fibrosis (IPF) Cell Atlas (is a multi-institutional collaboration that seeks to facilitate the exploration of several single-cell RNA sequencing datasets related to IPF in the form of an easy-to-use webtool.
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