Unknown,Transcriptomics,Genomics,Proteomics

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Expression profiles of villus and crypt layers of large intestine from C57Bl/6, Apc1638N+/-, and p21-/- mice.


ABSTRACT: Expression profiles obtained from the villus and crypt layers of murine large intestine can elucidate the process of differentiation undergone by epithelial cells as they migrate from the undifferentiated bottom of the crypt to the villus tip before being shed into the intestinal lumen. This series includes profiles from wild type mice, as well as mice harboring mutations in genes (APC and p21) which play key roles in the differentiation process. We used microarrays to characterize gene expression profiles at the base of the crypt and at the villus tip of the lumenal layer of the large intestine in order to better understand the process of differentiation and eventual shedding undergone by cells of the large intestinal epithelium. Four wild type, four APC1638+/- and four p21-/- mice were sacrified and the large intestines dissected out. Cells from the villus tip and from the bottom of the crypt were isolated from the lumenal face of the each large intestine using the Weiser method of sequential elution. RNA was extracted from each eluted sample and used to hybridize to Affymetrix 3' expression arrays.

ORGANISM(S): Mus musculus

SUBMITTER: Leonard Augenlicht 

PROVIDER: E-GEOD-19338 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Prediction and testing of biological networks underlying intestinal cancer.

Patel Vishal N VN   Bebek Gurkan G   Mariadason John M JM   Wang Donghai D   Augenlicht Leonard H LH   Chance Mark R MR  

PloS one 20100901 9


Colorectal cancer progresses through an accumulation of somatic mutations, some of which reside in so-called "driver" genes that provide a growth advantage to the tumor. To identify points of intersection between driver gene pathways, we implemented a network analysis framework using protein interactions to predict likely connections--both precedented and novel--between key driver genes in cancer. We applied the framework to find significant connections between two genes, Apc and Cdkn1a (p21), k  ...[more]

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