Department of Molecular Biology and Genetics
Cornell University

cornell red logo

Yeast Epigenome Project


Matthew J. Rossi, Prashant K. Kuntala, William K.M. Lai, Naomi Yamada, Nitika Badjatia,Chitvan Mittal, Guray Kuzu, Kylie Bocklund, Nina P. Farrell, Thomas R. Blanda, Joshua D. Mairose, Ann V. Basting, Katelyn S. Mistretta, David J. Rocco, Emily S. Perkinson, Gretta D.Kellogg, Shaun Mahony, B. Franklin Pugh
Abstract

Proteins are architected along eukaryotic chromosomes to maintain chromosome integrity and regulate thousands of genes. There exists no holistic single-base resolution map of their structural organization that reflects on genome function. Here we use ChIP-exo to define this structure in the yeast Saccharomyces. We identified 21 meta-assemblages consisting of >400 proteins related to replication origins, centromeres, subtelomeric regions, transposons, and RNA polymerase (Pol) I, II, and III transcription units. Most Pol II promoters lacked a regulatory region by design. These essentially constitutive promoters comprised a short nucleosome-free region adjacent to a +1 nucleosome, which together bound TFIID to formed a pre-initiation complex (PIC). Positioned insulators protected core promoters from upstream events. Only 1/5th of all promoters were architected for inducible regulation, wherein combinations of 78 sequence24 specific transcription factors bound upstream to create a nucleosome-depletable regulatory region. We describe their structural interactions with the genome and cognate cofactors, including nucleosomal and transcriptional regulators RPD3-L, SAGA, NuA4, Tup1, Mediator, and SWI/SNF. Together their assemblages are linked to PIC assembly involving primarily TBP rather than TFIID to achieve a defined integrated network of regulated transcription.


Protein Capture Reagents Program Validation


William K. M. Lai, Luca Mariani, Gerson Rothschild, Edwin R. Smith, Bryan J. Venters, Thomas R. Blanda, Prashant K. Kuntala, Kylie Bocklund, Joshua Mairose, Sarah N Dweikat, Katelyn Mistretta, Matthew J. Rossi, Daniela James, James T. Anderson, Sabrina K. Phanor, Wanwei Zhang, Avani P. Shaw, Katherine Novitzky, Eileen McAnarney, Michael-C. Keogh, Ali Shilatifard, Uttiya Basu, Martha L. Bulyk, B. Franklin Pugh
Abstract

Antibodies offer a powerful means to interrogate specific proteins in a complex milieu, and where epitope tagging is impractical. However, antibody availability and reliability are problematic. The Protein Capture Reagents Program (PCRP) generated over a thousand renewable monoclonal antibodies against human-presumptive chromatin proteins in an effort to improve reliability. However, these reagents have not been widely field-tested. We therefore screened their ability in a variety of assays. 887 unique antibodies against 681 unique chromatin proteins, of which 605 are putative sequence-specific transcription factors (TFs), were assayed by ChIP-exo. Subsets were further tested in ChIP-seq, CUT&RUN, STORM super-resolution microscopy, immunoblots, and protein binding microarray (PBM) experiments. At least 6% of the tested antibodies were validated for use in ChIP-based assays by the most stringent of our criteria. An additional 34% produced data suggesting they warranted further testing for clearer validation. We demonstrate and discuss the metrics and limitations to antibody validation in chromatin-based assays.


PEGR: a management platform for ChIP-based next generationsequencing pipelines


Danying Shao, Gretta D.Kellogg, William K.M. Lai, Shaun Mahony, B. Franklin Pugh
Abstract

There has been a rapid development in genome sequencing, in-cluding high-throughput next generation sequencing (NGS) tech-nologies, automation in biological experiments, new bioinformaticstools and utilization of high-performance computing and cloudcomputing. ChIP-based NGS technologies, e.g. ChIP-seq and ChIP-exo, are widely used to detect the binding sites of DNA-interactingproteins in the genome and help us to have a deeper mechanisticunderstanding of genomic regulation. As sequencing data is gener-ated at an unprecedented pace from the ChIP-based NGS pipelines,there is an urgent need for a metadata management system. Tomeet this need, we developed the Platform for Eukaryotic GenomicRegulation (PEGR), a web service platform that logs metadata forsamples and sequencing experiments, manages the data processingworkflows, and provides reporting and visualization. PEGR linkstogether people, samples, protocols, DNA sequencers and bioinfor-matics computation. With the help of PEGR, scientists can have amore integrated understanding of the sequencing data and betterunderstand the scientific mechanisms of genomic regulation. In thispaper, we present the architecture and the major functionalities ofPEGR. We also share our experience in developing this applicationand discuss the future directions.



Designed with by prashant kuntala