Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of mouse lung tumor tissue from TI-K (CCSP-rtTA;TRE-KrasV12), TI-KM (CCSP-rtTA; TRE-KrasV12; TRE-Mad2), recurrence (TI-KM) or normal lung tissue (CCSP-rtTA) reveals Mad2-induced chromosome instability leads to lung tumor relapse after oncogene withdrawal

ABSTRACT: Inhibition of an initiating oncogene often leads to extensive tumor cell death, a phenomenon known as oncogene addiction. This has led to the search for compounds that specifically target and inhibit oncogenes as anti-cancer agents. Whether chromosomal instability (CIN) generated as a result of deregulation of the mitotic checkpoint pathway, a frequent characteristic of solid tumors, has any effect on oncogene addiction, however, has not been explored systematically. We show here that induction of chromosome instability by overexpression of the mitotic checkpoint gene Mad2 does not affect the regression of Kras driven lung tumors upon Kras inhibition. However, tumors that experience transient Mad2 overexpression and consequent chromosome instability recur at dramatically elevated rates. The recurrent tumors are highly aneuploid and have varied activation of pro-proliferative pathways. Thus, early CIN may be responsible for tumor relapse after seemingly effective anti-cancer treatments. Experiment Overall Design: Lung tumor tissue from TI-K (CCSP-rtTA;TRE-KrasV12), TI-KM (CCSP-rtTA; TRE-KrasV12; TRE-Mad2), recurrence (TI-KM) or normal lung tissue (CCSP-rtTA) was subjected to RNA extraction and individual samples hybridized to array platform MOE430A 2.0 Affymetrix.

ORGANISM(S): Mus musculus

SUBMITTER: Agnes Viale

PROVIDER: E-GEOD-19753 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Increasing evidence suggests that microRNAs may play important roles in regulating self-renewal and differentiation in mammalian stem cells (SCs). Here, we explore this issue in skin. We first characterize microRNA expression profiles of skin SCs versus their committed proliferative progenies and identify a microRNA subset associating with “stemness”. Of these, miR-125b is dramatically downregulated in early SC-progeny. We engineer an inducible mice system and show that when miR-125b is sustained in SC-progenies, tissue balance is reversibly skewed towards stemness at the expense of epidermal, oil-gland and HF differentiation. Using gain-and-loss of function in vitro, we further implicate miR-125b as a repressor of SC differentiation. In vivo, transcripts repressed upon miR-125b induction are enriched >700% for predicted miR-125b targets normally downregulated upon SC-lineage commitment. We verify some of these miR-125b targets, and show that Blimp1 and VDR in particular can account for many tissue imbalances we see when miR-125b is deregulated. We used microarrays to compare the global miRNA expression profile of P4 stage hair follicle ORS cells from DTG (K14-rtTA,TRE-miR-125b) and control littermates. Hair follicle cells were isolated from P4 Backskin (Dox since P3 for 24hrs) of DTG (K14-rtTA/TRE-miR-125b/K14-H2BGFP), TRE (TRE-miR-125b/K14-H2BGFP), KrtA (K14-rtTA/K14-H2BGFP) as following: interfollicular epidermis sheet was pealed from hair follicle & dermis after dispase treatment.The hair follicle & dermis were first digested by collagenase (Sigma). Intact hair follicles were separated from dermal cells by low speed spinning (20g). The hair follicles were then digested by Trypsin and filtered by 40 µm cell strainers. The isolated hair follicle cells were FACS sorted. During FACS, cells were first gated against CD34 (endothelial cells), CD45 (immune cells), CD114 (melanocytes) and DAPI (dead cells). ORS cells were sorted from the remaining cells as α6HiGFPHi.

Dataset Information

Transcription profiling of mouse lung tumor tissue from TI-K (CCSP-rtTA;TRE-KrasV12), TI-KM (CCSP-rtTA; TRE-KrasV12; TRE-Mad2), recurrence (TI-KM) or normal lung tissue (CCSP-rtTA) reveals Mad2-induced chromosome instability leads to lung tumor relapse after oncogene withdrawal

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure