Spatial transcriptomics of de novo NEPC and ARPC(Dataset ID: STDS0000227)

0
|
730
|
370
|
PMID: 37240308
Summary
Visualization
Data
Analysis results
Related
Catalog
Dataset information
Contributors
Accessions
Reference way
Dataset information
Summary:
We analyze and report the differences in gene expression between de novo NEPC and ARPC using spatial gene expression analysis techniques (Visium CytAssist, 10x genomics).
Overall design:
Formalin-fixed, paraffin-embedded (FFPE) samples of resected prostate specimen
Technology:
10x Visium
Platform:
DNBSEQ-G400
Species:
Homo sapiens(hg38)
Tissues:
Prostate
Organ parts:
Prostatic cancer
Sex:
Male
Disease:
NEPC pT4N1M0 and ARPC pT2aN0M0, Gleason score of 4+4
Submission date: 2023-04-21Update date: 2023-05-21
Sample number: 1Section number: 1
Contributors
Motooka; Daisuke; Watanabe; Ryuta; Miura; Noriyoshi; Kurata; Mie; Kitazawa; Riko; Kikugawa; Tadahiko; Saika; Takashi
Accessions
GEO Series Accessions: GSE230282
Reference way
Citation: Watanabe, Ryuta et al. “Spatial Gene Expression Analysis Reveals Characteristic Gene Expression Patterns of De Novo Neuroendocrine Prostate Cancer Coexisting with Androgen Receptor Pathway Prostate Cancer.” International journal of molecular sciences vol. 24,10 8955. 18 May. 2023, doi:10.3390/ijms24108955