forked from BaderLab/CBW_Pathways_2023
-
Notifications
You must be signed in to change notification settings - Fork 3
/
6.0-Module6_Cell_Cell_Communication.Rmd
40 lines (18 loc) · 1.32 KB
/
6.0-Module6_Cell_Cell_Communication.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
# Module 6: Cell Cell Communication
*<font color="#827e9c">By Gregory Schwartz, Veronique Voisin, Chaitra Sarathy and Ruth Isserlin</font>*
## Module 6 lecture : Cell-Cell Communication.
Gregory Schwartz
[Lecture](./lectures/Pathways_2024_module6_Schwartz.pdf)
## scRNA lab praticals
[scRNA-lab1_PBMC](#scRNA_PBMC)
- This lab starts from scRNA data from peripheral blood mononuclear cells.
- The cells from similar cell types were grouped into clusters.
- We extracted the gene lists corresponding to each cluster and run pathway analysis on it using g:Profiler.
- We also created pseudobulk from the data, ran GSEA and created an enrichment map.
[scRNAlab2_Glioblastoma](#scRNA_glioblastoma)
- Similar to lab1, we extracted gene lists from scRNA clustering from glioblastoma data.
- We created a mastermap by uploading in EnrichmentMap the pathway enrichment results for all the cluster gene lists.
[scRNAlab_CellPhoneDB](#scRNA_cellPhoneDB)
- Similar to lab1 , we start from scRNA data from peripheral blood mononuclear cells and we are going to study the cell-cell communication between different cell types using CellPhoneDB.
[scRNAlab_NEST](#scRNA_NEST)
- In this lab, we are exploring cell-cell communication in spatial trancriptomic of a pancreatic cancer (PDAC) tissue section using the tool NEST.