We systematically generated large-scale data sets to improve genome annotation for the nematode Caenorhabditis elegans, a key model organism. These data sets include transcriptome profiling across a developmental time course, genome-wide identification of transcription factor–binding sites, and maps of chromatin organization. From this, we created more complete and accurate gene models, including alternative splice forms and candidate noncoding RNAs. We constructed hierarchical networks of transcription factor–binding and microRNA interactions and discovered chromosomal locations bound by an unusually large number of transcription factors. Different patterns of chromatin composition and histone modification were revealed between chromosome arms and centers, with similarly prominent differences between autosomes and the X chromosome. Integrating data types, we built statistical models relating chromatin, transcription factor binding, and gene expression. Overall, our analyses ascribed putative functions to most of the conserved genome.

Patients ≤50 years old, 2-10 years post-treatment, treated with chemotherapy or SERM had increased SB and decreased QOL. Individualized interventions and programs can be developed to tailor to physical, educational, and psychosocial needs identified across the breast cancer continuum.

Research Data Repositories: Review of Current Features, Gap Analysis, and Recommendations for Minimum Requirements

This study supports existing literature that SB of MAS and LUMP patients without metastases are similar. QOL of MAS patients including those with metastases was lower than that of LUMP patients.