HCA Data Explorer

Spatial transcriptomic profiling of human retinoblastoma

Access Granted
Updated April 29, 2024

Retinoblastoma (RB) represents one of the most prevalent intraocular cancers in children. Understanding the tumor heterogeneity in RB is important to design better targeted therapies. Here we used spatial transcriptomic to profile human retina and RB tumor to comprehensively dissect the spatial cell-cell communication networks. We found high intratumoral heterogeneity in RB, consisting of 10 transcriptionally distinct subpopulations with varying levels of proliferation capacity. Our results uncovered a complex architecture of the tumor microenvironment that predominantly consisted of cone precursors, as well as glial cells and cancer-associated fibroblasts. We delineated the cell trajectory underlying malignant progression of RB, and identified key signaling pathways driving genetic regulation across RB progression. We also explored the signaling pathways mediating cell-cell communications in RB subpopulations, and mapped the spatial networks of RB subpopulations and region neighbors. Altogether, we constructed the first spatial gene atlas for RB, which allowed us to characterize the transcriptomic landscape in spatially-resolved RB subpopulations, providing novel insights into the complex spatial communications involved in RB progression.

Raymond CB WongUniversity of Melbournewongcb@unimelb.edu.au
Raymond CB Wong (Principal Investigator)1
Luozixian Wang (Experimental Scientist)1
Sandy Hung (Experimental Scientist)1
Daniel Urrutia-Cabrera (Experimental Scientist)1
Roy CK Kong (Experimental Scientist)1
Sandra Staffieri (Experimental Scientist)1
Louise E Ludlow (Experimental Scientist)2
Xianzhong Lau (Experimental Scientist)3
Peng-Yuan Wang (Experimental Scientist)4
Alex W Hewitt (Experimental Scientist)5
1University of Melbourne
2Royal Children Hospital
3Australian Genome Research Facility
4Wenzhou Medical University
5University of Tasmania
Arsenios Chatzigeorgiou

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/1662accf-0e0c-48c4-9314-5aba063f2220

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.https://github.com/wongcb/Spatial-transcriptomic-retinoblastoma
None

Atlas

None

Analysis Portals

None

Project Label

SpatialRetinoblastomaWong

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

eye

Organ Part

retina

Selected Cell Types

Unspecified

Disease Status (Specimen)

3 disease statuses

Disease Status (Donor)

3 disease statuses

Development Stage

2 development stages

Library Construction Method

Visium Spatial Gene Expression

Nucleic Acid Source

bulk cell

Paired End

false

Analysis Protocol

spatial_transcriptomic_analysis

File Format

7 file formats

Cell Count Estimate

6.7k

Donor Count

4
csv9 file(s)fastq.gz16 file(s)h58 file(s)json8 file(s)png8 file(s)rds1 file(s)xlsx1 file(s)