|
| Status |
Public on Feb 20, 2020 |
| Title |
Tracing tumorigenesis in a solid tumor model at single-cell resolution |
| Organism |
Mus musculus |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
Characterizing the complex composition of solid tumors is fundamental for understanding tumor initiation, progression and metastasis. While patient-derived samples provide valuable insight, they are heterogeneous on multiple molecular levels, and often originate from advanced tumor stages. Here, we use single-cell transcriptome and epitope profiling together with pathway and lineage analyses to study tumorigenesis from a developmental perspective in a mouse model of salivary gland squamous cell carcinoma. We provide a comprehensive cell atlas and characterise tumor-specific cells. We find that these cells are connected along a reproducible developmental trajectory: initiated in basal cells exhibiting an epithelial-to-mesenchymal transition signature, tumorigenesis proceeds through Wnt-differential cancer stem cell-like subpopulations before differentiating into luminal-like cells. Our work provides unbiased insights into tumor-specific cellular identities in a whole tissue environment and emphasizes the power of using defined genetic model systems.
|
| |
|
| Overall design |
Single cell transcriptome and epitope profiling of mouse salivary glands using Drop-seq and CITE-seq
|
| Web link |
https://shiny.mdc-berlin.de/sc_msga
|
| |
|
| Contributor(s) |
Praktiknjo SD, Obermayer B, Zhu Q, Fang L, Liu H, Quinn H, Stoeckius M, Kocks C, Birchmeier W, Rajewsky N |
| Citation(s) |
32080185 |
| |
| Submission date |
Dec 27, 2018 |
| Last update date |
Mar 09, 2020 |
| Contact name |
Benedikt Obermayer |
| Organization name |
Berlin Institute of Health
|
| Department |
Core Unit Bioinformatics
|
| Street address |
Chariteplatz 1
|
| City |
Berlin |
| ZIP/Postal code |
10117 |
| Country |
Germany |
| |
|
| Platforms (1) |
| GPL19057 |
Illumina NextSeq 500 (Mus musculus) |
|
| Samples (36)
|
|
| Relations |
| BioProject |
PRJNA511997 |
| SRA |
SRP174599 |
Less...
More...