NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE55005 Query DataSets for GSE55005
Status Public on Apr 21, 2015
Title mRNA profiling reveals determinants of trastuzumab efficiency in HER2-positive breast cancer
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary The intention was to detect genes that are determining trastuzumab efficiency in HER2-positive breast cancer cell lines with different resistance phenotypes.
While BT474 should be sensitive to the drug treatment, HCC1954 is expected to be resistant due to a PI3K mutation.
The cell line BTR50 has been derived from BT474 and was cultured to be resistant as well.
Based on RNA-Seq data, we performed differential expression analyses on these breast cancer cell lines with and without trastuzumab treatment.
In detail, five separate tests were performed, namely resistant cells vs. wild type, i.e. HCC1954 and BTR50 vs. BT474, respectively, and untreated vs. drug treated cells.
The significant genes of the first two tests should contribute to resistance.
The significant genes of the test BT474 vs. its drug treated version should contribute to the trastuzumab effect.
To exclude false positives from the combined gene set (#64), we removed ten genes that were also significant in the test BTR50 vs. its drug treated version.
This way we ended up with 54 genes that are very likely to determine trastuzumab efficiency in HER2-positive breast cancer cell lines.
 
Overall design mRNA profiles of human breast cancer cell lines were generated by deep sequencing using Illumina HiSeq 2000. The cell lines BT474 and HCC1954 were analyzed with and without trastuzumab treatment. HCC1954 is known to be trastuzumab resistant. Additionally, the cell line BTR50 was generated as resistant version of BT474, and was analyzed with and without trastuzumab as well.
 
Contributor(s) von der Heyde S, Wagner S, Czerny A, Nietert M, Ludewig F, Salinas-Riester G, Beißbarth T
Citation(s) 25710561
Submission date Feb 13, 2014
Last update date May 15, 2019
Contact name Silvia von der Heyde
E-mail(s) silvia.heyde@gmail.com
Organization name University Medical Center Göttingen
Department Medical Statistics
Street address Humboldtalle 32
City Göttingen
ZIP/Postal code 37073
Country Germany
 
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (6)
GSM1327853 Human BT474 breast cancer cell line
GSM1327854 Human BT474 breast cancer cell line under trastuzumab treatment
GSM1327855 Human HCC1954 breast cancer cell line
Relations
BioProject PRJNA238231
SRA SRP037775

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
GSE55005_nexprs_bt474_bt474T.xls.gz 530.3 Kb (ftp)(http) XLS
GSE55005_nexprs_btr50_bt474.xls.gz 523.0 Kb (ftp)(http) XLS
GSE55005_nexprs_btr50_btr50T.xls.gz 382.9 Kb (ftp)(http) XLS
GSE55005_nexprs_hcc1954_bt474.xls.gz 537.7 Kb (ftp)(http) XLS
GSE55005_nexprs_hcc1954_hcc1954T.xls.gz 388.1 Kb (ftp)(http) XLS
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap