|
Status |
Public on Feb 22, 2022 |
Title |
Transcriptional heterogeneity in primary and metastatic gastric cancer revealed using single-cell RNA sequencing |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing
|
Summary |
Deciphering intra- and inter-tumoral heterogeneity is essential for understanding gastric cancer (GC) biology and identifying effective therapeutic targets. We used single-cell RNA sequencing (scRNA-seq) to reveal the transcriptional heterogeneity of diverse cells within primary and metastatic GC and their roles in disease progression.
|
|
|
Overall design |
We performed unbiased scRNA-seq analysis of 42,968 cells from 10 fresh human tissue samples from six patients. Primary tumor and adjacent non-tumoral samples and six metastases from different organs or tissues (liver, peritoneum, ovary, lymph node) were evaluated. Validation experiments were performed using histological assays and bulk transcriptomic datasets.
|
|
|
Contributor(s) |
Jiang H, Yu D, Yang P |
Citation(s) |
35184420 |
Submission date |
Dec 20, 2020 |
Last update date |
Aug 03, 2022 |
Contact name |
penghui Yang |
E-mail(s) |
yangph@zju.edu.cn
|
Phone |
18811381956
|
Organization name |
Pharmaceutical Informatics Institute
|
Street address |
866 Yuhangtang Road
|
City |
Hangzhou |
State/province |
Zhejiang |
ZIP/Postal code |
310007 |
Country |
China |
|
|
Platforms (1) |
GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
|
Samples (10)
|
|
Relations |
BioProject |
PRJNA689571 |
SRA |
SRP300226 |