Proteomics,Multiomics

Dataset Information

0

Proteomics of U1810 cells upon treatment with microRNAs with an AAGUGC seed motif.


ABSTRACT: microRNA dysregulation is a common feature of cancer cells, but the complex roles of microRNAs in cancer are not fully elucidated. Here we used functional genomics to identify oncogenic microRNAs in non-small cell lung cancer and to evaluate their impact on response to EGFR targeting therapy. Our data demonstrate that microRNAs with an AAGUGC-motif in their seed-sequence increase both cancer cell proliferation and sensitivity to EGFR inhibitors. Global transcriptomics, proteomics and target prediction resulted in the identification of several tumor suppressors involved in the G1/S transition as targets of AAGUGC-microRNAs. The clinical implications of our findings were evaluated by analysis of public domain data supporting the link between this microRNA seed-family, their tumor suppressor targets and cancer cell proliferation. In conclusion we propose that AAGUGC-microRNAs are an integral part of an oncogenic signaling network, and that these findings have potential therapeutic implications, especially in selecting patients for EGFR-targeting therapy.

OTHER RELATED OMICS DATASETS IN: MSV000080829PRJNA321508

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Lung, Epithelial Cell

DISEASE(S): Non-small Cell Lung Carcinoma

SUBMITTER: Rui Branca  

LAB HEAD: Janne Lehtiö

PROVIDER: PXD004163 | Pride | 2016-06-28

REPOSITORIES: Pride

altmetric image

Publications

microRNAs with AAGUGC seed motif constitute an integral part of an oncogenic signaling network.

Zhou Y Y   Frings O O   Branca R M RM   Boekel J J   le Sage C C   Fredlund E E   Agami R R   Orre L M LM  

Oncogene 20160801 6


microRNA (miRNA) dysregulation is a common feature of cancer cells, but the complex roles of miRNAs in cancer are not fully elucidated. Here, we used functional genomics to identify oncogenic miRNAs in non-small cell lung cancer and evaluate their impact on response to epidermal growth factor (EGFR)-targeting therapy. Our data demonstrate that miRNAs with an AAGUGC motif in their seed sequence increase both cancer cell proliferation and sensitivity to EGFR inhibitors. Global transcriptomics, pro  ...[more]

Similar Datasets

2021-09-09 | PXD019992 | Pride
2019-07-01 | E-MTAB-8093 | biostudies-arrayexpress
2023-05-28 | E-MTAB-11813 | biostudies-arrayexpress
2018-03-31 | E-MTAB-6526 | biostudies-arrayexpress
2023-05-10 | PXD036428 | Pride
2013-08-09 | E-GEOD-49661 | biostudies-arrayexpress
2016-07-03 | E-GEOD-73574 | biostudies-arrayexpress
2014-06-01 | E-GEOD-48006 | biostudies-arrayexpress
2020-07-30 | E-MTAB-9280 | biostudies-arrayexpress
2016-06-23 | E-GEOD-73982 | biostudies-arrayexpress