Expression analysis of HFF cells in G1 phase [MAT]
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Kristin Reiche
PROVIDER: E-GEOD-36155 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Whole transcriptome expression analysis of HFF cells on Affymetrix Human Tiling 1.0 array set. Cells were synchronised by serum starvation and transcriptome-wide expression in G0 phase. Expression data were processed with MAT (Johnson et al., "Model-based analysis of tiling-arrays for ChIP-chip." Proc Natl Acad Sci USA, 103:12457-62, 2006.). We analyzed one Affymetrix Human Tiling 1.0R set
2012-12-18 | E-GEOD-36154 | biostudies-arrayexpress
Project description:Whole transcriptome differential expression analysis of HFF cells on Affymetrix Human Tiling 1.0 array set. Cells were synchronised by serum starvation and transcriptome-wide changes occurring at the transition from G0 phase to G1 phase detected. Expression data and fold changes were processed with MAT (Johnson et al., "Model-based analysis of tiling-arrays for ChIP-chip." Proc Natl Acad Sci USA, 103:12457-62, 2006.). We analyzed one Affymetrix Human Tiling 1.0R set each for HFF cells in G0 phase and cells in G1 phase
2012-12-18 | E-GEOD-36156 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the following subset Series: GSE36154: Expression analysis of HFF cells in G0 phase [MAT] GSE36155: Expression analysis of HFF cells in G1 phase [MAT] GSE36156: Differential expression analysis of HFF cells in G0 phase compared to cells in G1 [MAT] Refer to individual Series
2012-06-05 | E-GEOD-36187 | biostudies-arrayexpress
Project description:Whole transcriptome expression analysis of HFF cells on Affymetrix Human Tiling 1.0 array set. Cells were synchronised by serum starvation and transcriptome-wide expression in G1 phase. Expression data were processed with Tiling Array Software (TAS). We analyzed one Affymetrix Human Tiling 1.0R set
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Project description:Whole transcriptome expression analysis of HFF cells on Affymetrix Human Tiling 1.0 array set. Cells were synchronised by serum starvation and transcriptome-wide expression in G0 phase. Expression data were processed with Tiling Array Software (TAS). We analyzed one Affymetrix Human Tiling 1.0R set
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Project description:Whole transcriptome differential expression analysis of HFF cells on Affymetrix Human Tiling 1.0 array set. Cells were synchronised by serum starvation and transcriptome-wide changes occurring at the transition from G0 phase to G1 phase detected. Expression data and fold changes were processed with Tiling Array Software (TAS). We analyzed one Affymetrix Human Tiling 1.0R set each for HFF cells in G0 phase and cells in G1 phase
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Project description:The Hox genes are responsible for generating morphological diversity along the anterior-posterior axis during animal development. The Drosophila Hox gene Ultrabithorax (Ubx), for example, is required for specifying the identity of the third thoracic (T3) segment of the adult, which includes the dorsal haltere, an appendage required for flight, and the ventral T3 leg. Ubx mutants show homeotic transformations of the T3 leg towards the identity of the T2 leg and the haltere towards the wing. All Hox genes, including Ubx, encode homeodomain containing transcription factors, raising the question of what target genes Ubx regulates to generate these adult structures. To address this question, we carried out whole genome ChIP-chip studies to identify all of the Ubx bound regions in the haltere and T3 leg imaginal discs, which are the precursors to these adult structures. In addition, we used ChIP-chip to identify the sites bound by the Hox cofactor, Homothorax (Hth). This is a dataset generated by the Drosophila Regulatory Elements modENCODE Project led by Kevin P. White at the University of Chicago. This dataset was generated in collaboration with Richard S. Mann at Columbia University. It contains ChIP-chip data on Affymetrix Drosophila Tiling 2.0R arrays for multiple transcription factor antibodies in multiple Drosophila tissues. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf Haltere or leg imaginal discs ChIPped for Ubx or Hth vs. input DNA from corresponding imaginal discs. For each combination of tissue and antibody, ChIP experiments have been performed and hybridized on Affymetrix Drosophila Tiling 2.0R arrays. At least 3 biological replicates for the ChIP sample have been hybridized.
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2012-10-03 | E-GEOD-26678 | biostudies-arrayexpress
Project description:The most widely used method for detecting genome-wide protein-DNA interactions is chromatin immunoprecipitation on tiling microarrays, commonly known as ChIP-chip. Here, we conducted the first objective analysis of tiling array platforms, amplification procedures, and signal detection algorithms in a simulated ChIP-chip experiment. Mixtures of human genomic DNA and "spike-ins" comprised of nearly 100 human sequences at various concentrations were hybridized to four tiling array platforms by eight independent groups. Blind to the number of spike-ins, their locations, and the range of concentrations, each group made predictions of the spike-in locations. We found that microarray platform choice is not the primary determinant of overall performance. In fact, variation in performance between labs, protocols and algorithms within the same array platform was greater than the variation in performance between array platforms. However, each array platform had unique performance characteristics that varied with tiling resolution and the number of replicates, which have implications for cost versus detection power. Long oligonucleotide arrays were slightly more sensitive at detecting very low enrichment. On all platforms, simple sequence repeats and genome redundancy tended to result in false positives. LM-PCR and WGA, the most popular sample amplification techniques, reproduced relative enrichment levels with high fidelity. Performance among signal detection algorithms was heavily dependent on array platform. The spike-in DNA samples and the data presented here provide a stable benchmark against which future ChIP platforms, protocol improvements, and analysis methods can be evaluated. Keywords: ChIP-chip For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf 3 spike-in replicates and 3 genomic input control replicates
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