MRNA-sequencing of breast cancer subtypes and normal tissue
Ontology highlight
ABSTRACT: Goal: To define the digital transcriptome of three breast cancer subtypes (TNBC, Non-TNBC, and HER2-positive) using RNA-sequencing technology. To elucidate differentially expressed known and novel transcripts, alternatively spliced genes and differential isoforms and lastly expressed variants in our dataset. Method: Dr. Suzanne Fuqua (Baylor College of Medicine) provided the human breast cancer tissue RNA samples. All of the human samples were used in accordance with the IRB procedures of Baylor College of Medicine. The breast tumour types, TNBC, Non-TNBC and HER2-positive, were classified on the basis of immunohistochemical and RT-qPCR classification. Results: Comparative transcriptomic analyses elucidated differentially expressed transcripts between the three breast cancer groups, identi
ORGANISM(S): Homo sapiens
SUBMITTER: Eswaran J
PROVIDER: S-ECPF-GEOD-52194 | biostudies-other | 2013
REPOSITORIES: biostudies-other
ACCESS DATA