As RNA binding proteins (RBPs) play essential roles in cellular physiology by interacting with target RNAs, binding site identification by UV-crosslinking and immunoprecipitation (CLIP) of ribonucleoprotein complexes is critical to understanding RBP function. However, current CLIP protocols are technically demanding and yield low complexity libraries with high experimental failure rates. We have developed an enhanced CLIP (eCLIP) protocol that decreases requisite amplification by ~1,000-fold, decreasing discarded PCR duplicate reads by ~60% while maintaining single-nucleotide binding resolution. By simplifying the generation of paired IgG and size-matched input controls, eCLIP improves specificity in discovery of authentic binding sites. We generated 102 eCLIP experiments for 73 diverse RBPs in HepG2 and K562 cells (available at https://www.encodeproject.org), demonstrating that eCLIP enables large-scale and robust profiling, with amplification and sample requirements similar to ChIP-seq. eCLIP enables integrative analysis of diverse RBPs to reveal factor-specific profiles, common artifacts for CLIP and RNA-centric perspectives of RBP activity.

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.

Article Methods Cell lines Cell lines were purchased from ATCC and were not formally authenticated, but confirmation of expected gene expression patterns were performed for RNA-seq and eCLIP experiments. Cell lines were routinely tested for mycoplasma contamination (MycoAlert, Lonza).

RNA binding proteins (RBPs) orchestrate the production, processing, and function of mRNAs. Here, we present the affinity landscapes of 78 human RBPs using an unbiased assay that determines the sequence, structure, and context preferences of these proteins in vitro by deep sequencing of bound RNAs. These data enable construction of "RNA maps" of RBP activity without requiring crosslinking-based assays. We found an unexpectedly low diversity of RNA motifs, implying frequent convergence of binding specificity toward a relatively small set of RNA motifs, many with low compositional complexity. Offsetting this trend, however, we observed extensive preferences for contextual features distinct from short linear RNA motifs, including spaced "bipartite" motifs, biased flanking nucleotide composition, and bias away from or toward RNA structure. Our results emphasize the importance of contextual features in RNA recognition, which likely enable targeting of distinct subsets of transcripts by different RBPs that recognize the same linear motif.

Alternative pre-mRNA splicing affects a majority of human genes and plays important roles in development and disease. Alternative splicing (AS) events conserved since the divergence of human and mouse are likely of primary biological importance, but relatively few of such events are known. Here we describe sequence features that distinguish exons subject to evolutionarily conserved AS, which we call alternative conserved exons (ACEs), from other orthologous human͞ mouse exons and integrate these features into an exon classification algorithm, ACESCAN. Genome-wide analysis of annotated orthologous human-mouse exon pairs identified Ϸ2,000 predicted ACEs. Alternative splicing was verified in both human and mouse tissues by using an RT-PCR-sequencing protocol for 21 of 30 (70%) predicted ACEs tested, supporting the validity of a majority of ACESCAN predictions. By contrast, AS was observed in mouse tissues for only 2 of 15 (13%) tested exons that had EST or cDNA evidence of AS in human but were not predicted ACEs, and AS was never observed for 11 negative control exons in human or mouse tissues. Predicted ACEs were much more likely to preserve the reading frame and less likely to disrupt protein domains than other AS events and were enriched in genes expressed in the brain and in genes involved in transcriptional regulation, RNA processing, and development. Our results also imply that the vast majority of AS events represented in the human EST database are not conserved in mouse.exon skipping ͉ regulatory element ͉ cassette exon ͉ transcriptome ͉ comparative genomics T he processing of human primary transcripts to produce the mRNAs that will direct protein synthesis is often variable, producing multiple alternatively spliced (AS) mRNA products, most commonly by alternative inclusion or exclusion (''skipping'') of individual exons (1-3). Alternative pre-mRNA splicing plays a major role in expanding protein diversity and regulating gene expression in higher eukaryotes (4, 5). Regulated AS is crucial in fruit fly development (3) and in the physiology of the heart, skeletal muscle, brain, and other tissues, and misregulation of AS is associated with human disease (6-8).EST and cDNA sequence databases provide a rich source of information about splicing events occurring in the human and mouse transcriptomes. Considering the set of human ESTs and cDNAs that can be reliably aligned to a human gene locus overlapping a particular exon, this set can be subdivided into transcripts that include the exon and those that exclude, or skip, the exon in question. Here, the skipping of an exon refers to the situation in which a transcript aligns consecutively to an upstream exon and a downstream exon of a gene, omitting the given exon. This consideration can be applied to all of the exons in a human gene, and an analogous subdivision can be made of the mouse transcripts that align to exons of the orthologous mouse gene. Each orthologous human͞mouse exon pair can then be assigned to one of four categories, S H,m , S h,M , S H,M , or S h...