Project description:Estrogen Receptor alpha (ERα) is a key driver of most breast cancers, and it is the target of endocrine therapies used in the clinic to treat women with ERα positive (ER+) breast cancer. The two methods ChIP-seq (chromatin immunoprecipitation coupled with deep sequencing) and RIME (Rapid Immunoprecipitation of Endogenous Proteins) have greatly improved our understanding of ERα function during breast cancer progression and in response to anti-estrogens. A critical component of both ChIP-seq and RIME protocols is the antibody that is used to pull down the bait protein. To date, most of the ChIP-seq and RIME experiments for the study of ERα have been performed using the sc-543 antibody from Santa Cruz Biotechnology. However, this antibody has been discontinued, thereby severely impacting the study of ERα in normal physiology as well as diseases such as breast cancer and ovarian cancer. Here, we compare the sc-543 antibody with other commercially available antibodies, and we show that 06-935 (EMD Millipore) and ab3575 (Abcam) antibodies can successfully replace the sc-543 antibody for ChIP-seq and RIME experiments.
Project description:chip-seq for MoIug4 in rice, putative transcription factor MoIug4 was secrected from M. oryzae to the nucleus of rice. Here, we performed of MoAtf1 chip-seq assays to uncovered the regulation network
Project description:Gene expression is controlled by the complex interaction of transcription factors binding to promoters and other regulatory DNA elements. One common characteristic of the genomic regions associated with regulatory proteins is a pronounced sensitivity to DNase I digestion. We generated genome-wide high resolution maps of DNase I hypersensitive (DH) sites from both seedling and callus tissues of rice. Approximately 25% of the DH sites from both tissues were found in the putative promoters, indicating that the vast majority of gene regulatory elements in rice are not located at promoter regions. We found 58% more DH sites in callus than in seedling. For DH sites detected in both seedling and callus, 31% displayed significantly different levels of DNase I sensitivity within the two tissues. Genes that were differentially expressed in seedling and callus were frequently associated with DH sites in both tissues. The DNA sequences contained within the DH sites were hypomethylated, consistent with what is known about active gene regulatory elements. Interestingly, tissue-specific DH sites located in the promoters showed an elevated level of DNA methylation. A distinct elevation of H3K27me3 was associated with intergenic DH sites. These results suggest that epigenetic modifications play a role in the dynamic changes of the numbers and DNase I sensitivity of DH sites during development. To do associated analysis with DNase I hypersensitive sites in rice, we performed ChIP-seq to identify the positions of three histone modifications (H3K4me2, H3K36me3 and H4K12ac) in the rice genome (leaf tissue only - not callus). The ChIP DNA from seedling of each experiment was sequenced on one lane of Illumina Genome Analyzer.
Project description:We have performed a Proteogenomics meta-analysis of data sets deposited in ProteomeXchange: PXD000265, PXD000313, PXD000923, PXD001030, PXD001058, PXD002291, PXD002739, PXD002740 and PXD003156 and using 29 RNA-Seq data sets on rice (Oryza sativa). We created a search database comprising translated reads that had been mapped onto the rice genome, as well as officially annotated rice proteins sequences. The RNA Seq database was pre-processed to identify “novel transcripts” for those not mapping fully to an existing exon, and “novel junctions” for those reads mapped with a gap, implying a potential novel splice site that was not annotated in the official gene set. Confidentially identified “novel peptides” i.e. those mapping to a novel junction or novel transcript were post-processed to ensure that there were no other better explanations for the corresponding spectra e.g. peptide from a canonical gene with a modification or amino acid substitution. Data were exported from the pipeline in PSI mzIdentML 1.2 format, containing chromosomal coordinates, and further converted to PSI proBed format for genome visualisation. Novel peptides were searched against other plant databases using BLAST to see if they had predicted in genes from other species. A total of 1584 novel peptides were identified, mapping to ~700 genomic loci in which either new genes have been predicted (~100) or updates to existing gene models have been predicted (~600).