Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of mouse embryonic stem cells with inducible Oct-3/4 or Tcl1 expression or Tcl1 knock out using siRNA

ABSTRACT: POU transcription factor Pou5f1 (Oct3/4) is required to maintain ES cells in an undifferentiated state. Here we show that global expression profiling of Oct3/4-manipulated ES cells delineates the downstream target genes of Oct3/4. Combined with data from genome-wide chromatin-immunoprecipitation assays, this analysis identifies not only primary downstream targets of Oct3/4, but also secondary or tertiary targets. Furthermore, the analysis also reveals that downstream target genes are regulated either positively or negatively by Oct3/4. Identification of a group of genes that show both activation and repression depending on Oct3/4 expression levels provides a possible mechanism for the requirement of appropriate Oct3/4 expression to maintain undifferentiated ES cells. As a proof-of-principle study, one of the downstream genes, Tcl1, has been analyzed in detail. We show that Oct3/4 binds to the promoter region of Tcl1 and activates its transcription. We also show that Tcl1 is involved in the regulation of proliferation, but not differentiation, in ES cells. These findings suggest that the global expression profiling of gene-manipulated ES cells can help to delineate the structure and dynamics of gene regulatory networks.

ORGANISM(S): Mus musculus

SUBMITTER: Yong Qian

PROVIDER: E-MNIA-61 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:We present a microarray experiment with the same tet-inducible system but with multiple time points within 24 hr to capture early responses to Oct4 suppression. These data were analyzed together with published genome-wide ChIP data. We found that most tentative target genes (TTG) of Oct4 in ES cells were activated by Oct4 and only a few genes were suppressed. The same method was then applied to find target genes of Sox2 and Nanog based mostly on previously published data. Because the interaction between Oct4, Sox2, and Nanog is supported by immunoprecipitation, functional analysis, and co-localization of binding sites, we explored the relationships between their target genes. Keywords: time series design We used ZHBTc4 ES cells with a Tet-inducible Oct4 transgene. Cells were cultured for 2 passages on gelatin-coated plates in order to remove feeder cells and then transferred to gelatin-coated 6-well plates at the density of 1-2x105 cells/well and cultured in complete ES medium. Tetrocycline (TC) was added at 24 hr after cell plating, and then cells were harvested at 0hr (before adding TC), 3 hr, 6 hr, 12 hr, and 24 hr (2 replications each). RNA samples for later time points (24, 48, 72, 96, and 120 hr) were obtained from our earlier experiment with 3 replications. Two Nanog over-expressing clones were tested: (1) integrated transgene in MG1.19 parental cell line and (2) episomal transgene in EBRTcH3 parental line. EBRTcH3 and MG1.19 ESC lines were kind gifts of Dr. Hitoshi Niwa (RIKEN Center for Developmental Biology, Kobe, Japan). Both transgenic and parental cell lines were cultured for 2 passages on gelatin-coated plates and then transferred to gelatin-coated 6-well plates at the density of 1-2x105 cells/well and cultured for 3 days in 3 different conditions: (1) complete ES medium (see above); (2) complete medium without LIF, and (3) complete medium with 1 uM RA. Cells were cultured at 37 0C and 5% CO2 condition and the culture medium was changed daily. Over-expression of Nanog was evaluated by PCR. Total RNAs were extracted using TrizolTM (Invitrogen, USA) and Phase lock gelTM columns (Eppendorf/Brinkman) according to the manufacturer???s protocol. Total RNAs were precipitated with isopropanol, washed with 70% ethanol, and dissolved in DEPC-treated H2O. 2.5 ug of total RNA samples were labeled with Cy3-CTP using a Low RNA Input Fluorescent Linear Amplification Kit (Agilent, USA). A reference target (Cy5-CTP-labeled) was prepared from the Universal Mouse Reference (UMR) RNA (Stratagene, USA).

Project description:Biologists rely on morphology, function, and specific markers to define the differentiation status of cells. Transcript profiling has expanded the repertoire of these markers by providing the snapshot of cellular status that reflects the activity of all genes. However, such data have been used only to assess relative similarities and differences of these cells. Here we show that principal component analysis (PCA) of global gene expression profiles map cells in multidimensional transcript profile space and the positions of differentiating cells progress in a stepwise manner along trajectories starting from undifferentiated embryonic stem (ES) cells located in the apex. We present three cell lineage trajectories, which represent the differentiation of ES cells into the first three lineages in mammalian development: primitive endoderm, trophoblast, and primitive ectoderm/neural ectoderm. The positions of the cells along these trajectories seem to reflect the developmental potency of cells and can be used as a scale for the potential of cells. Indeed, we show that embryonic germ (EG) cells and induced pluripotent (iPS) cells are mapped near the origin of the trajectories, whereas mouse embryo fibroblast (MEF) and fibroblast cell lines are mapped near the far end of the trajectories. We propose that this method can be used as the non-operational semi-quantitative definition of cell differentiation status and developmental potency. Furthermore, the global expression profiles of cell lineages provide a framework for the future study of in vitro and in vivo cell differentiation. Keywords: cell type comparison design,reference design,replicate design,time series design Most of the cells and RNA samples used in this study were described in detail previously (See paper's citation associated with this dataset). To maximize the uniformity of the microarray data, all the samples, including ones analyzed by DNA microarray previously, were hybridized to the same platform (the NIA Mouse 44K Microarray manufactured by Agilent Technologies: AMADID #015087). The intensity of each gene feature per array was extracted from scanned microarray images using Feature Extraction Software V9.5.

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Transcription profiling of mouse embryonic stem cells with inducible Oct-3/4 or Tcl1 expression or Tcl1 knock out using siRNA

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