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Open AccessJournal ArticleDOI

Intra- and Inter-cellular Rewiring of the Human Colon during Ulcerative Colitis

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TLDR
An atlas of 366,650 cells from the colon mucosa of 18 UC patients and 12 healthy individuals is generated, revealing 51 epithelial, stromal, and immune cell subsets, including BEST4+ enterocytes, microfold-like cells, and IL13RA2+IL11+ inflammatory fibroblasts, which are associated with resistance to anti-TNF treatment.
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This article is published in Cell.The article was published on 2019-07-25 and is currently open access. It has received 680 citations till now. The article focuses on the topics: Stromal cell & Cell type.

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Journal ArticleDOI

SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes.

TL;DR: In this paper, the expression of viral entry-associated genes in single-cell RNA-sequencing data from multiple tissues from healthy human donors was investigated, and co-detected these transcripts in specific respiratory, corneal and intestinal epithelial cells, potentially explaining the high efficiency of SARS-CoV-2 transmission.
Journal ArticleDOI

SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues.

Carly G. K. Ziegler, +135 more
- 28 May 2020 - 
TL;DR: The data suggest that SARS-CoV-2 could exploit species-specific interferon-driven upregulation of ACE2, a tissue-protective mediator during lung injury, to enhance infection.
Journal ArticleDOI

SARS-CoV-2 Entry Genes Are Most Highly Expressed in Nasal Goblet and Ciliated Cells within Human Airways

TL;DR: Analysis of the compendium of data points to a particularly relevant role for nasal goblet and ciliated cells as early viral targets and potential reservoirs of SARS-CoV-2 infection and underscores the importance of the availability of the Human Cell Atlas as a reference dataset.
Journal ArticleDOI

Single-Cell Analyses Inform Mechanisms of Myeloid-Targeted Therapies in Colon Cancer.

TL;DR: This comprehensive analysis of key myeloid subsets in human and mouse identifies critical cellular interactions regulating tumor immunity and defines mechanisms underlying myeloids-targeted immunotherapies currently undergoing clinical testing.
Posted ContentDOI

The digestive system is a potential route of 2019-nCov infection: a bioinformatics analysis based on single-cell transcriptomes

TL;DR: The bioinformatics evidence of the potential route for infection of 2019-nCov in digestive system along with respiratory tract is provided and may have significant impact for the authors' healthy policy setting regards to prevention of2019-nCoV infection.
References
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Journal ArticleDOI

Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
Journal ArticleDOI

NIH Image to ImageJ: 25 years of image analysis

TL;DR: The origins, challenges and solutions of NIH Image and ImageJ software are discussed, and how their history can serve to advise and inform other software projects.
Journal Article

Visualizing Data using t-SNE

TL;DR: A new technique called t-SNE that visualizes high-dimensional data by giving each datapoint a location in a two or three-dimensional map, a variation of Stochastic Neighbor Embedding that is much easier to optimize, and produces significantly better visualizations by reducing the tendency to crowd points together in the center of the map.
Proceedings Article

Gephi: An Open Source Software for Exploring and Manipulating Networks

TL;DR: This work presents several key features of Gephi in the context of interactive exploration and interpretation of networks, and highlights key aspects of dynamic network visualization.
Journal ArticleDOI

Integrating single-cell transcriptomic data across different conditions, technologies, and species.

TL;DR: An analytical strategy for integrating scRNA-seq data sets based on common sources of variation is introduced, enabling the identification of shared populations across data sets and downstream comparative analysis.
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