Project description:We measured transcription factor binding and expression of designed syththetic promoter libraries using Calling Cards Reporter Arrays (CCRAs). In this study, we showed that CCRAs is able to make quantatitive measurements for many TFs in yeast. We then demonstrate the quantitative analysis of cooperative interactions by measuring Cbf1p binding at synthetic promoters with multiple sites. Finally, we characterize the binding and expression of a group of TFs, Tye7p, Gcr1p, and Gcr2p, that act together as a “TF collective”, an important but poorly characterized model of TF cooperativity. We demonstrate that Tye7p often binds promoters without its recognition site because it is recruited by other collective members, whereas these other members require their recognition sites, suggesting a hierarchy where these factors recruit Tye7p but not vice versa. Our experiments establish CCRA as a useful tool for quantitative investigations into TF binding and function.
Project description:We designed 4 oligonucleotide libraries containing either a retained intron, a cassette exon, tandem 5' or tandem 3' splice sites, cloned them into dedicated reporter constructs, transfected and integrated these constructs in the genome of K562 cells, and performed targeted RNA sequencing to determine RNA splicing ratios and a FACSseq approach to determine protein isoform ratios.
Project description:We designed an oligonucleotide libraries containing a potential frameshifting site, cloned the library variants into a dedicated reporter construct, transfected and integrated these constructs in the genome of K562 cells, and performed FACSseq (as well as targeted RNA sequencing) to determine if and to what extent frameshifting occurs.
Project description:The nucleosome is a fundamental unit of chromatin in eukaryotes, and generally prevents the binding of transcription factors to genomic DNA. Pioneer transcription factors overcome the nucleosome barrier, and bind their target DNA sequences in chromatin. OCT4 is a representative pioneer transcription factor that plays a role in stem cell pluripotency. In the present study, we biochemically analyzed the nucleosome binding by OCT4. Crosslinking mass spectrometry showed that OCT4 binds the nucleosome.
Project description:We performed gene expression profiling for designed oligooxopiperazines targeting the hypoxia-inducible transcription factor complex, which resulted in an effective inhibition of hypoxia-inducible genes with relatively minimal perturbation of non-targeted signaling pathways. Hypoxic A549 cells were treated with transcriptional inhibitors BB2-162, BB2-125, BB2-282 or vehicle and their expression profiles were compared to normoxic A549 cells treated with vehicle.
Project description:The use of data-independent acquisition methods such as SWATH for mass spectrometry based proteomics is usually performed using peptide MS/MS reference ion assay libraries which enable identification and quantitation of peptide peak areas. Reference assay libraries can be generated locally through information dependent acquisition, or obtained from shared data repositories for commonly studied organisms. However, there have been no studies performed to systematically evaluate how locally-generated or repository-based assay libraries affect SWATH performance for proteomic studies. To undertake this analysis we developed a software workflow, SwathXtend, which generates extended peptide assay libraries using a local seed library and delivers statistical analysis of SWATH-based sample comparisons. We designed test samples using peptides from a yeast extract spiked into peptides from human K562 cell lysates at different ratios to simulate common protein abundance change comparisons. SWATH-MS data with 2, 5 and 10% of yeast peptides spiked into the human cell lysate were assessed using several local and repository-based assay libraries of different complexities and proteome compositions. We evaluated detection specificity and accuracy to detect differentially abundant proteins and reporting thresholds for statistical analyses. We demonstrate that extended assay libraries integrated with local seed libraries achieve better performance than local limited assay libraries alone from the aspects of the number of peptides and proteins identified and the specificity to detect differentially abundant proteins; the performance of extended assay libraries heavily depend on the similarity of the seed and add-on libraries; statistical analysis with multiple testing correction can improve the statistical rigor needed when using large, extended assay libraries.