Project description:Identification of the genome-wide binding sites of Hoxa9 and C/EBPα in a murine myeloblastic cell line transformed by Hoxa9/Meis1. Over 50% of Hoxa9 binding sites are co-bound by C/EBPα, providing mechanistic insight into the requirement of C/EBPα for Hoxa9-mediated leukemogenesis. Additionally, genome-wide occupancy of H3K4 monomethylation and H3K27 trimethylation provide additional information on the functionality of Hoxa9/C/EBPα cobound loci. Examination of two transcription factor binding sites and two histone modifications in a transformed cell line.
Project description:We analyzed the genome-wide binding profile of Jarid1b in mouse ESCs. We find that Jarid1b localizes mainly to transcription start sites, of which more than 50% are also bound by Polycomb proteins and are enriched for genes encoding developmental regulators. Furthermore, we generated genome-wide mapping of H3K4me3 in LKO Scramble and LKO Jarid1b mouse ESCs. Virtually all Jarid1b binding sites are positive for H3K4me3. Upon knockdown of Jarid1b, H3K4me3 is significantly increased at Jarid1b positive regions. Examination of Jarid1b and H3K4me3 in mouse ES cells
Project description:Identification of the genome-wide binding sites of Hoxa9 and C/EBPα in a murine myeloblastic cell line transformed by Hoxa9/Meis1. Over 50% of Hoxa9 binding sites are co-bound by C/EBPα, providing mechanistic insight into the requirement of C/EBPα for Hoxa9-mediated leukemogenesis. Additionally, genome-wide occupancy of H3K4 monomethylation and H3K27 trimethylation provide additional information on the functionality of Hoxa9/C/EBPα cobound loci.
Project description:We analyzed the genome-wide binding profile of Jarid1b in mouse ESCs. We find that Jarid1b localizes mainly to transcription start sites, of which more than 50% are also bound by Polycomb proteins and are enriched for genes encoding developmental regulators. Furthermore, we generated genome-wide mapping of H3K4me3 in LKO Scramble and LKO Jarid1b mouse ESCs. Virtually all Jarid1b binding sites are positive for H3K4me3. Upon knockdown of Jarid1b, H3K4me3 is significantly increased at Jarid1b positive regions.
Project description:ChIP-Seq, which combines chromatin immunoprecipitation (ChIP) with high-throughput massively parallel sequencing, is increasingly being used for identification of proteinM-bM-^@M-^SDNA interactions in-vivo in the genome. In general, current algorithms for ChIP-seq reads employ artificial estimation of the average length of DNA fragments for peak finding, leading to uncertain prediction of DNA-protein binding sites. Here, we present SIPeS (Site Identification from Paired-end Sequencing), a novel algorithm for precise identification of binding sites from short reads generated from paired-end Solexa ChIP-Seq technology. SIPeS uses a dynamic baseline directly via M-bM-^@M-^Xpiling upM-bM-^@M-^Y the corresponding fragments defined by the paired reads to efficiently find peaks corresponding to binding sites. The performance of SIPeS is demonstrated by analyzing the ChIP-Seq data of the Arabidopsis basic helix-loop-helix transcription factor ABORTED MICROSPORES (AMS). The robustness of SIPeS was demonstrated in higher sensitivity and spatial resolution in peak finding compared to three existing peak detection algorithms. Keywords: transcription factors (protein-DNA interactions) Examination of protein-DNA interactions in buds of Arabidopsis anther cell
Project description:We analyzed the genome wide distributions of HDAC1, HDAC4, HDAC7 in Th17 cells. We find that majority of HDAC4 and HDAC7 binding sites are HDAC1 bound. TMP269 inhibits HDAC4 and HDAC7 at promoter sites of Th17 negative regulator genes, leading to their upregulation through increased H3, H4 acetylation.
Project description:ChIP-Seq, which combines chromatin immunoprecipitation (ChIP) with high-throughput massively parallel sequencing, is increasingly being used for identification of protein–DNA interactions in-vivo in the genome. In general, current algorithms for ChIP-seq reads employ artificial estimation of the average length of DNA fragments for peak finding, leading to uncertain prediction of DNA-protein binding sites. Here, we present SIPeS (Site Identification from Paired-end Sequencing), a novel algorithm for precise identification of binding sites from short reads generated from paired-end Solexa ChIP-Seq technology. SIPeS uses a dynamic baseline directly via ‘piling up’ the corresponding fragments defined by the paired reads to efficiently find peaks corresponding to binding sites. The performance of SIPeS is demonstrated by analyzing the ChIP-Seq data of the Arabidopsis basic helix-loop-helix transcription factor ABORTED MICROSPORES (AMS). The robustness of SIPeS was demonstrated in higher sensitivity and spatial resolution in peak finding compared to three existing peak detection algorithms. Keywords: transcription factors (protein-DNA interactions)
Project description:CREB-binding protein (CBP, also known as nejire) is a transcriptional co-activator that is conserved in metazoans. We have generated CBP ChIP-seq data from Drosophila S2 cells and compared it to modENCODE data. This shows that CBP is bound at genomic sites with a wide range of functions. As expected, we find that CBP is bound at active promoters and enhancers. In addition, we find that the strongest CBP sites in the genome are found at Polycomb Response Elements embedded in histone H3 lysine 27 trimethylated (H3K27me3) chromatin, where they correlate with binding of the Pho repressive complex. Interestingly, we find that CBP also binds to most insulators in the genome. At a subset of these, CBP may regulate insulating activity, measured as the ability to prevent repressive H3K27 methylation from spreading into adjacent chromatin. ChIP seq in Drosophila S2 cells using two different antibodies against CBP (nejire), one raised in rabbit against amino acids 2540-3190 (CBP rb), and one raised in guinea-pig against amino acids 1-178 (CBP gp)