Related references
Note: Only part of the references are listed.Integrative omics provide biological and clinical insights into acute respiratory distress syndrome
Mulong Du et al.
INTENSIVE CARE MEDICINE (2021)
Receptor recognition by novel coronavirus from Wuhan: An analysis based on decade-long structural studies of SARS
Yushun Wan et al.
JOURNAL OF VIROLOGY (2020)
A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster
Jasper Fuk-Woo Chan et al.
LANCET (2020)
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Chaolin Huang et al.
LANCET (2020)
A pneumonia outbreak associated with a new coronavirus of probable bat origin
Peng Zhou et al.
NATURE (2020)
DC/L-SIGNs of hope in the COVID-19 pandemic
Adam Brufsky et al.
JOURNAL OF MEDICAL VIROLOGY (2020)
Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage
Jingyuan Liu et al.
JOURNAL OF TRANSLATIONAL MEDICINE (2020)
A glimpse into the eye of the COVID-19 cytokine storm
Krutika Kuppalli et al.
EBIOMEDICINE (2020)
Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19
Mingfeng Liao et al.
NATURE MEDICINE (2020)
Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment
Jonas Schulte-Schrepping et al.
CELL (2020)
Elevated Calprotectin and Abnormal Myeloid Cell Subsets Discriminate Severe from Mild COVID-19
Aymeric Silvin et al.
CELL (2020)
Immunophenotyping of COVID-19 and influenza highlights the role of type I interferons in development of severe COVID-19
Jeong Seok Lee et al.
SCIENCE IMMUNOLOGY (2020)
Loss of Bcl-6-Expressing T Follicular Helper Cells and Germinal Centers in COVID-19
Naoki Kaneko et al.
CELL (2020)
COVID-19 severity correlates with airway epithelium-immune cell interactions identified by single-cell analysis
Robert Lorenz Chua et al.
NATURE BIOTECHNOLOGY (2020)
A single-cell atlas of the peripheral immune response in patients with severe COVID-19
Aaron J. Wilk et al.
NATURE MEDICINE (2020)
Genomewide Association Study of Severe Covid-19 with Respiratory Failure
David Ellinghaus et al.
NEW ENGLAND JOURNAL OF MEDICINE (2020)
PhenomeXcan: Mapping the genome to the phenome through the transcriptome
Milton Pividori et al.
SCIENCE ADVANCES (2020)
The trinity of COVID-19: immunity, inflammation and intervention
Matthew Zirui Tay et al.
NATURE REVIEWS IMMUNOLOGY (2020)
Determining cell type abundance and expression from bulk tissues with digital cytometry
Aaron M. Newman et al.
NATURE BIOTECHNOLOGY (2019)
PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations
Mihir A. Kamat et al.
BIOINFORMATICS (2019)
Comprehensive Integration of Single-Cell Data
Tim Stuart et al.
CELL (2019)
Cytoscape StringApp: Network Analysis and Visualization of Proteomics Data
Nadezhda T. Doncheva et al.
JOURNAL OF PROTEOME RESEARCH (2019)
Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage
Dvir Aran et al.
NATURE IMMUNOLOGY (2019)
Bulk tissue cell type deconvolution with multi-subject single-cell expression reference
Xuran Wang et al.
NATURE COMMUNICATIONS (2019)
The MR-Base platform supports systematic causal inference across the human phenome
Gibran Hemani et al.
ELIFE (2018)
Genomic atlas of the human plasma proteome
Benjamin B. Sun et al.
NATURE (2018)
Late-onset moderate to severe acute respiratory distress syndrome is associated with shorter survival and higher mortality: a two-stage association study
Ruyang Zhang et al.
INTENSIVE CARE MEDICINE (2017)
Population effect model identifies gene expression predictors of survival outcomes in lung adenocarcinoma for both Caucasian and Asian patients
Guoshuai Cai et al.
PLOS ONE (2017)
Local sequence and sequencing depth dependent accuracy of RNA-seq reads
Guoshuai Cai et al.
BMC BIOINFORMATICS (2017)
KEGG as a reference resource for gene and protein annotation
Minoru Kanehisa et al.
NUCLEIC ACIDS RESEARCH (2016)
Beta-Poisson model for single-cell RNA-seq data analyses
Trung Nghia Vu et al.
BIOINFORMATICS (2016)
TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis
Zhicheng Ji et al.
NUCLEIC ACIDS RESEARCH (2016)
Characterizing noise structure in single-cell RNA-seq distinguishes genuine from technical stochastic allelic expression
Jong Kyoung Kim et al.
NATURE COMMUNICATIONS (2015)
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Yang Liao et al.
BIOINFORMATICS (2014)
Prognostic Role of Neutrophil-to-Lymphocyte Ratio in Solid Tumors: A Systematic Review and Meta-Analysis
Arnoud J. Templeton et al.
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2014)
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
Cole Trapnell et al.
NATURE BIOTECHNOLOGY (2014)
voom: precision weights unlock linear model analysis tools for RNA-seq read counts
Charity W. Law et al.
GENOME BIOLOGY (2014)
STAR: ultrafast universal RNA-seq aligner
Alexander Dobin et al.
BIOINFORMATICS (2013)
The Genotype-Tissue Expression (GTEx) project
John Lonsdale et al.
NATURE GENETICS (2013)
Bayesian Estimation Supersedes the t Test
John K. Kruschke
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL (2013)
Normalization, testing, and false discovery rate estimation for RNA-sequencing data
Jun Li et al.
BIOSTATISTICS (2012)
Role of DC-SIGN and L-SIGN receptors in HIV-1 vertical transmission
Ronald Celerino da Silva et al.
HUMAN IMMUNOLOGY (2011)
edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
Mark D. Robinson et al.
BIOINFORMATICS (2010)
Annexin-1-deficient dendritic cells acquire a mature phenotype during differentiation
Anthony Huggins et al.
FASEB JOURNAL (2009)
DC-SIGN and L-SIGN: the SIGNs for infection
Ui-Soon Khoo et al.
JOURNAL OF MOLECULAR MEDICINE-JMM (2008)
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
A Subramanian et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2005)
Neutrophils mediate immune modulation of dendritic cells through glycosylation-dependent interactions between Mac-1 and DC-SIGN
KPJM van Gisbergen et al.
JOURNAL OF EXPERIMENTAL MEDICINE (2005)
CD209L (L-SIGN) is a receptor for severe acute respiratory syndrome coronavirus
SA Jeffers et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2004)
pH-dependent entry of Severe acute respiratory syndrome coronavirus is mediated by the spike glycoprotein and enhanced by dendritic cell transfer through DC-SIGN
ZY Yang et al.
JOURNAL OF VIROLOGY (2004)
Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus
WH Li et al.
NATURE (2003)
DC-sign: Escape mechanism for pathogens
Y van Kooyk et al.
NATURE REVIEWS IMMUNOLOGY (2003)
L-SIGN (CD 209L) is a liver-specific capture receptor for hepatitis C virus
JP Gardner et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2003)
Cytoscape: A software environment for integrated models of biomolecular interaction networks
P Shannon et al.
GENOME RESEARCH (2003)
The dendritic cell-specific adhesion receptor DC-SIGN internalizes antigen for presentation to T cells
A Engering et al.
JOURNAL OF IMMUNOLOGY (2002)