OMIX002441

1Summary
Title Single-cell transcriptomic profiling reveals the tumor heterogeneity of small-cell lung cancer
Description Here, we performed high-precision single-cell transcriptomic analysis of ~5000 individual cells from primary tumors (PTs) and matched normal adjacent tissues (NATs) from 11 SCLC patients, including one patient with both PT and relapsed tumor (RT). We revealed a heterogeneous cellular architecture of this malignant cancer at single-cell resolution.
Organism Homo sapiens
Data Type Expression Profiling
Data Accessibility Open-access
BioProject PRJCA006026
Release Date 2024-02-28
Submitter Fuchou Tang (tangfuchou@pku.edu.cn)
Organization Peking University
Submission Date 2022-11-23
2Files & Download

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File ID File Title Number/Samples File Type File Size File Suffix Download
OMIX002441-01 SCLC_cell_count_matrix 1 Expression Profiling 237.24 MB csv
OMIX002441-02 SCLC_cell_info 1 Expression Profiling 344 KB csv
3Relevant Publications
Paper Title Journal Name Publish Time Accession Citing Type
A four gene risk score model for prognosis and immune microenvironment insights in small cell lung cancer based on CAF functional-related genes Discover Oncology 2025-05 OMIX002441 Secondary use
ATAD2 is a potential immunotherapy target for patients with small cell lung cancer harboring HLA-A∗0201 eBioMedicine 2025-01 OMIX002441 Deposit
Single-cell transcriptomic profiling reveals the tumor heterogeneity of small-cell lung cancer Signal Transduction and Targeted Therapy 2022-11 OMIX002441 Deposit
A DNA Nanomachine Modulates the Stemness-Associated Signaling Pathways for Overcoming Chemoresistance by Temporally Programming Drug Release Research 2025-12 OMIX002441 Secondary use

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