Dataset corresponding to the LoC studies in the manuscript titled The cGAS-STING pathway drives type I IFN immunopathology in COVID-19. The following data are included: BioEM.zip: Volumetric electron microscopy - representative movies of volumetric scans of fields of view of the vascular face of uninfected control and SARS-CoV-2 infected LoCs. Blender file containing reconstruction of mitochondria. Cleaved-caspase3.zip: Imaris files for analysis of 3D stacks from two- and three-component LoCs immunostained for cleaved-caspase 3. IFN beta.zip: Imaris files for analysis of 3D stacks from two- and three-component LoCs immunostained for IFN beta. PhosphoSTING.zip: Imaris files for analysis of 3D stacks from two component LoCs immunostained ...
This dataset includes the data used in thesis entitled "The role and mechanisms of interleukin-9 in ...
IntroductionSevere respiratory illness is the most prominent manifestation of patients infected with...
Data to support University of Southampton Doctoral Thesis "Investigating lipid-responsive T cel...
The effects of coronavirus disease 2019 (COVID-19) primarily concern the respiratory tract and lungs...
There are three datasets in this entry: the COVIDOme Sample Metadata, the COVIDome SOMAscan dataset,...
There are seven datasets related to The COVIDome Explorer Researcher Portal in this entry: Supplemen...
Datasets are included in folders according to the figures in the manuscript "The Immunology of Multi...
Code and data for the manuscript "Longitudinal characterization of circulating neutrophils uncovers ...
The COVID-19 disease led to an unprecedented health emergency, still ongoing worldwide. Given the la...
This folder contains datasets analyzed in the manuscript: Multi-trial analysis of HIV-1 envelope gp...
COVID-19, which is caused by infection with SARS-CoV-2, is characterized by lung pathology and extra...
This dataset contains raw and processed data from the COvid-19 Multi-omics Blood ATlas (COMBAT) cons...
The dataset contains five files of tabular data with an accompanying README file. Supplementary file...
Zip folder containing set of images (.tif files) analysed in the paper: “The SARS-CoV-2 nucleocapsid...
IntroductionSevere respiratory illness is the most prominent manifestation of patients infected with...
This dataset includes the data used in thesis entitled "The role and mechanisms of interleukin-9 in ...
IntroductionSevere respiratory illness is the most prominent manifestation of patients infected with...
Data to support University of Southampton Doctoral Thesis "Investigating lipid-responsive T cel...
The effects of coronavirus disease 2019 (COVID-19) primarily concern the respiratory tract and lungs...
There are three datasets in this entry: the COVIDOme Sample Metadata, the COVIDome SOMAscan dataset,...
There are seven datasets related to The COVIDome Explorer Researcher Portal in this entry: Supplemen...
Datasets are included in folders according to the figures in the manuscript "The Immunology of Multi...
Code and data for the manuscript "Longitudinal characterization of circulating neutrophils uncovers ...
The COVID-19 disease led to an unprecedented health emergency, still ongoing worldwide. Given the la...
This folder contains datasets analyzed in the manuscript: Multi-trial analysis of HIV-1 envelope gp...
COVID-19, which is caused by infection with SARS-CoV-2, is characterized by lung pathology and extra...
This dataset contains raw and processed data from the COvid-19 Multi-omics Blood ATlas (COMBAT) cons...
The dataset contains five files of tabular data with an accompanying README file. Supplementary file...
Zip folder containing set of images (.tif files) analysed in the paper: “The SARS-CoV-2 nucleocapsid...
IntroductionSevere respiratory illness is the most prominent manifestation of patients infected with...
This dataset includes the data used in thesis entitled "The role and mechanisms of interleukin-9 in ...
IntroductionSevere respiratory illness is the most prominent manifestation of patients infected with...
Data to support University of Southampton Doctoral Thesis "Investigating lipid-responsive T cel...