We profiled single immune cells from mouse lungs that are induced by Bleomycin for different days

This is the first dynamic immune landscape during Idiopathic Pulmonary Fibrosis (IPF)

Trajectory analysis reconstruct pseudo-time of each cell type

Cell-cell interaction and cellular metabolism change significantly during IPF process, which imply functional switch

Overview of the data

Overview Page

We present our data as an overview in this page. You can see the composition and distribution of any group of cells you pick.

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Basic Information

Number of
Cells

85,484

Median Gene
Number per Cell

1,523

Data Visualization

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    Interaction between cells

    Interaction

    We infer interaction between cells through ligand-receptor analysis. Network shows interaction strength between any two cell types

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    Choose Cell Types：
    Ligand Receptor Enrich-
    score    		 transmitter responser
    　 　 　 　 　
    　 　 　 　 　
    　 　 　 　 　
    　 　 　 　 　
    　 　 　 　 　

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    Choose Cell Types：
    pathway Enrich-
    score    		 cluster Enrich-
    celltype
    　 　 　 　
    　 　 　 　
    　 　 　 　
    　 　 　 　
    　 　 　 　

    Pseudo-time

    Pseudo-time

    Some of the cells shows trajectory pattern during IPF process. By changing the pseudo-time range, you can see the dynamic switching of these cells in composition or expression of certain genes.

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    Reduction:
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      Download

      1.　Expression Matrix

      2.　Cell Annotation & Metadata

      3.　Cell Type Marker Lists

      4.　Ligand-Receptor List

      5.　Metabolitic Pathways

      Contact us

      Li Wu (wuli@tsinghua.edu.cn)

      Jianhong Zhang (zhangjianhong@tsinghua.edu.cn)

      Yunping Zhu (zhuyunping@gmail.com)

      Xuegong Zhang (zhangxg@tsinghua.edu.cn)