Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Differences in gene expression patterns in mouse embryonic fibroblast Flp-In-3T3 cell lines stably expressing Pax6 or Pax6(5a).

ABSTRACT: Novel target genes for the two transcription factor isoforms Pax6 and Pax6(5a) were identified by generating mouse embryonic fibroblast cell lines stably expressing either Pax6 or Pax6(5a), and comparing their gene expression pattern with the original mouse embryonic fibroblast cell line. Flp-In-3T3 cell lines were generated according to the manufacturers instruction (Invitrogen), using the mouse Pax6 and Pax6(5a) cDNA as insert. Correct inserts were verified by PCR, sequencing and Westernblot.

ORGANISM(S): Mus musculus

SUBMITTER: Ingvild Mikkola

PROVIDER: E-GEOD-31402 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

3T3 cell lines stably expressing Pax6 or Pax6(5a)--a new tool used for identification of common and isoform specific target genes.

Kiselev Yury Y Eriksen Tonje Engevik TE Forsdahl Siri S Nguyen Lan Huong Thi LH Mikkola Ingvild I

PloS one 20120223 2

Pax6 and Pax6(5a) are two isoforms of the evolutionary conserved Pax6 gene often co-expressed in specific stochiometric relationship in the brain and the eye during development. The Pax6(5a) protein differs from Pax6 by having a 14 amino acid insert in the paired domain, causing the two proteins to have different DNA binding specificities. Difference in functions during development is proven by the fact that mutations in the 14 amino acid insertion for Pax6(5a) give a slightly different eye phen ...[more]

PMID: 22384097

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Project description:The coupling between cell-cycle exit and onset of differentiation is a common feature throughout the developing nervous system, but the mechanisms that link these processes are mostly unknown. Although the transcription factor Pax6 was implicated in both proliferation and differentiation of multiple regions within the CNS, its contribution to the transition between these successive states remains elusive. To gain insight into the role of Pax6 during the transition from proliferating progenitors to differentiating precursors, we investigated cell-cycle and transcriptomic changes occurring in Pax6- retinal progenitor cells (RPCs). Our analyses revealed a unique cell-cycle phenotype of the Pax6-deficient RPCs, which included a reduced number of cells in the S phase, an increased number of cells exiting the cell cycle, and delayed differentiation kinetics of Pax6- precursors. These alterations were accompanied by co-expression of factors that promote (Ccnd1, Ccnd2, Ccnd3) and inhibit (P27kip1 and P27kip2) the cell cycle. Further characterization of the changes in transcription profile of the Pax6-deficient RPCs revealed abrogated expression of multiple factors which are known to be involved in regulating proliferation of RPCs, including the transcription factors Vsx2, Nr2e1, Plagl1 and Hedgehog signaling. These findings provide novel insight into the molecular mechanism mediating the pleiotropic activity of Pax6 in RPCs. The results further suggest that rather than conveying a linear effect on RPCs, such as promoting their proliferation and inhibiting their differentiation, Pax6 regulates multiple transcriptional networks which function simultaneously, thereby conferring the capacity to proliferate, assume multiple cell fates and execute the differentiation program into retinal lineages. The data contains 3 control and 3 Pax6 negative samples representing biological repeats. Each sample was prepared from ~1.8 million cells taken from the distal retina of either E12 alpha-Cre or Pax6 floxed alpha-Cre animals. Distally located retinal progenitors expressing Cre and eGFP were separated using FACS.

Dataset Information

Differences in gene expression patterns in mouse embryonic fibroblast Flp-In-3T3 cell lines stably expressing Pax6 or Pax6(5a).

Publications

3T3 cell lines stably expressing Pax6 or Pax6(5a)--a new tool used for identification of common and isoform specific target genes.

Similar Datasets

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