Dataset Information
LncRNA pulldown - The lncRNA landscape of breast cancer reveals a role for DSCAM-AS1 in breast cancer progression
Ontology highlight
ABSTRACT:
INSTRUMENT(S):
ORGANISM(S): Homo Sapiens (human)
TISSUE(S): Mammary Gland Epithelial Cell
DISEASE(S): Breast Cancer
SUBMITTER: 
Anton Poliakov
LAB HEAD: Felix Feng
PROVIDER: PXD002421 | Pride | 2016-10-05
REPOSITORIES: Pride
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| F004200.dat-pride.pride.mgf.gz | Mgf | |||
| F004200.dat-pride.pride.mztab.gz | Mztab | |||
| F004200.dat-pride.xml.gz | Xml | |||
| F004201.dat-pride.pride.mgf.gz | Mgf | |||
| F004201.dat-pride.pride.mztab.gz | Mztab |
Items per page: 1 - 5 of 24 |
Publications
The lncRNA landscape of breast cancer reveals a role for DSCAM-AS1 in breast cancer progression.
Nature communications 20160926
Molecular classification of cancers into subtypes has resulted in an advance in our understanding of tumour biology and treatment response across multiple tumour types. However, to date, cancer profiling has largely focused on protein-coding genes, which comprise <1% of the genome. Here we leverage a compendium of 58,648 long noncoding RNAs (lncRNAs) to subtype 947 breast cancer samples. We show that lncRNA-based profiling categorizes breast tumours by their known molecular subtypes in breast ca ...[more]
