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Series GSE223003 Query DataSets for GSE223003
Status Public on Dec 22, 2023
Title Tracing back primed resistance in cancer via sister cells
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Exploring non-genetic evolution of cell states during cancer treatments has become attainable by recent advances in lineage-tracing methods. However, transcriptional changes that drive cells into resistant fates may be subtle, necessitating high resolution analysis. We developed ReSisTrace that uses shared transcriptomic features of synchronized sister cells to predict the states that prime treatment resistance. We applied ReSisTrace in ovarian cancer cells to dissect primed resistance against olaparib, carboplatin or natural killer (NK) cells, and  discovered a novel connection between DNA repair deficiency and susceptibility to NK cells. Furthermore, we identified small molecules driving cells to sensitive states prior to treatment. In summary, ReSisTrace resolves pre-existing transcriptional features of treatment vulnerability, facilitating both molecular patient stratification for personalized treatments and discovery of synergistic pre-sensitizing therapies.
 
Overall design We developed ReSisTrace to reveal the cell states that are primed to treatment resistance. We allowed uniquely labeled, synchronized cells to divide once, after which half of the cells (pre-treatment samples) were analyzed by scRNA-seq, while the other half underwent the treatment. Surviving cells were allowed to recover, and then analyzed by scRNA-seq to identify resistant lineages and their expression profiles (post-treatment samples). We applied ReSisTrace in HGSOC cell line Kuramochi to address primed resistance against carboplatin chemotherapy, the PARP inhibitor olaparib, and anti-tumor immunity represented by natural killer (NK) cells. We also included a non-treatment control that mimicked the splitting, re-plating, and growth conditions of the drug treatment experiments. All the assays are performed in two replicates.
 
Contributor(s) Dai J, Zheng S, Tang J, Vähärautio A
Citation(s) 38326354
Submission date Jan 17, 2023
Last update date Feb 13, 2024
Contact name Shuyu Zheng
E-mail(s) shuyu.zheng@helsinki.fi
Organization name University of Helsinki
Department Faculty of Medicine
Lab Tang Lab
Street address Biomedicum 1U, Haartmaninkatu 8
City Helsinki
State/province Uusimaa
ZIP/Postal code 00290
Country Finland
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (20)
GSM6938163 Carboplatin, replicate 1, pre-treatment
GSM6938164 Carboplatin, replicate 1, post-treatment
GSM6938165 Carboplatin, replicate 2, pre-treatment
Relations
BioProject PRJNA924690

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE223003_Drug_perturbed_sample_Cell_Multiplexing_Oligo_information.tsv.gz 283 b (ftp)(http) TSV
GSE223003_RAW.tar 461.3 Mb (http)(custom) TAR (of TSV)
GSE223003_drug_perturbed_sample_replicate_1_UMIcounts.tsv.gz 15.6 Mb (ftp)(http) TSV
GSE223003_drug_perturbed_sample_replicate_1_cell_info.tsv.gz 69.5 Kb (ftp)(http) TSV
GSE223003_drug_perturbed_sample_replicate_2_UMIcounts.tsv.gz 16.0 Mb (ftp)(http) TSV
GSE223003_drug_perturbed_sample_replicate_2_cell_info.tsv.gz 71.2 Kb (ftp)(http) TSV
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Raw data are available in SRA
Processed data provided as supplementary file

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