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Series GSE202695 Query DataSets for GSE202695
Status Public on May 13, 2022
Title Single-cell analysis reveals inter- and intra-tumor heterogeneity in metastatic breast cancer
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary The plasticity and heterogeneity of cancer cells are known to play a major role in malignant progression, yet the precise molecular drivers of metastases remain elusive. We performed single-cell RNA-Seq (scRNA-Seq) on tumours and matched lung macrometastases of patient-derived xenografts (PDXs) of breast cancer to identify molecular mechanisms of metastasis during colonization.
 
Overall design Tumors and matched lung metastases from PDX models grown in NSG mice were dissociated and human cells purified by FACS . PDX models cells selection relied on the CD298 human-specific marker. Samples derived from a cell line MDA-MB-231 expressing a GFP-Luciferase construct were selected based on GFP expression. Single cell isolation was performed on the Fluidigm C1 platform. mRNA was isolated with the Takara SMART-Seq Ultra Low RNA kit. Libraries for Illumina sequencing were prepared with the Nextera XT DNA Library Preparation Kit.
 
Contributor(s) Hamelin B, Obradović M, Sethi A, Kloc M, Bentires-Alj M
Citation(s) 38066300
Submission date May 10, 2022
Last update date Jan 02, 2024
Contact name Mohamed Bentires-Alj
E-mail(s) bentireslab.data@gmail.com
Organization name University Hospital Basel
Department DBM
Lab THMR
Street address Hebelstrasse 20
City Basel
ZIP/Postal code 4031
Country Switzerland
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (2982)
GSM6128539 s0001_mouse1_MDAMB231_Tumor_1cells
GSM6128540 s0002_mouse1_MDAMB231_Tumor_2cells
GSM6128541 s0003_mouse1_MDAMB231_Tumor_1cells
Relations
BioProject PRJNA837007

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
GSE202695_CCcorrected_logcounts.csv.gz 110.6 Mb (ftp)(http) CSV
GSE202695_counts_afterQC.csv.gz 13.5 Mb (ftp)(http) CSV
GSE202695_counts_raw.csv.gz 19.1 Mb (ftp)(http) CSV
GSE202695_metadata.csv.gz 4.7 Kb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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