Genomics Commons^™

Principles Of Rna Processing From Analysis Of Enhanced Clip Maps For 150 Rna Binding Proteins, Eric L Van Nostrand, Gabriel A Pratt, Brian A Yee, Emily C Wheeler, Steven M Blue, Jasmine Mueller, Samuel S Park, Keri E Garcia, Chelsea Gelboin-Burkhart, Thai B Nguyen, Ines Rabano, Rebecca Stanton, Balaji Sundararaman, Ruth Wang, Xiang-Dong Fu, Brenton R Graveley, Gene W Yeo

Faculty, Staff and Students Publications

BACKGROUND: A critical step in uncovering rules of RNA processing is to study the in vivo regulatory networks of RNA binding proteins (RBPs). Crosslinking and immunoprecipitation (CLIP) methods enable mapping RBP targets transcriptome-wide, but methodological differences present challenges to large-scale analysis across datasets. The development of enhanced CLIP (eCLIP) enabled the mapping of targets for 150 RBPs in K562 and HepG2, creating a unique resource of RBP interactomes profiled with a standardized methodology in the same cell types.

RESULTS: Our analysis of 223 eCLIP datasets reveals a range of binding modalities, including highly resolved positioning around splicing signals and mRNA …

De Novo Frameshift Variants In The Neuronal Splicing Factor Nova2 Result In A Common C-Terminal Extension And Cause A Severe Form Of Neurodevelopmental Disorder, Francesca Mattioli, Gaelle Hayot, Nathalie Drouot, Bertrand Isidor, Jérémie Courraud, Maria-Victoria Hinckelmann, Frederic Tran Mau-Them, Chantal Sellier, Alica Goldman, Aida Telegrafi, Alicia Boughton, Candace Gamble, Sebastien Moutton, Angélique Quartier, Nolwenn Jean, Paul Van Ness, Sarah Grotto, Sophie Nambot, Ganka Douglas, Yue Cindy Si, Jamel Chelly, Zohra Shad, Elisabeth Kaplan, Richard Dineen, Christelle Golzio, Nicolas Charlet-Berguerand, Jean-Louis Mandel, Amélie Piton

Faculty, Staff and Students Publications

The neuro-oncological ventral antigen 2 (NOVA2) protein is a major factor regulating neuron-specific alternative splicing (AS), previously associated with an acquired neurologic condition, the paraneoplastic opsoclonus-myoclonus ataxia (POMA). We report here six individuals with de novo frameshift variants in NOVA2 affected with a severe neurodevelopmental disorder characterized by intellectual disability (ID), motor and speech delay, autistic features, hypotonia, feeding difficulties, spasticity or ataxic gait, and abnormal brain MRI. The six variants lead to the same reading frame, adding a common proline rich C-terminal part instead of the last KH RNA binding domain. We detected 41 genes differentially spliced after NOVA2 …

Quaternary Interactions And Supercoiling Modulate The Cooperative Dna Binding Of Agt, Manana Melikishvili, Michael G. Fried

Center for Structural Biology Faculty Publications

Human O⁶-alkylguanine-DNA alkyltransferase (AGT) repairs mutagenic O⁶-alkylguanine and O⁴-alkylthymine adducts in single-stranded and duplex DNAs. The search for these lesions, through a vast excess of competing, unmodified genomic DNA, is a mechanistic challenge that may limit the repair rate in vivo. Here, we examine influences of DNA secondary structure and twist on protein–protein interactions in cooperative AGT complexes formed on lesion-free DNAs that model the unmodified parts of the genome. We used a new approach to resolve nearest neighbor (nn) and long-range (lr) components from the ensemble-average cooperativity, ω_ave. We found …

Discovery And Validation Of Information Theory-Based Transcription Factor And Cofactor Binding Site Motifs., Ruipeng Lu, Eliseos J Mucaki, Peter K Rogan

Biochemistry Publications

Data from ChIP-seq experiments can derive the genome-wide binding specificities of transcription factors (TFs) and other regulatory proteins. We analyzed 765 ENCODE ChIP-seq peak datasets of 207 human TFs with a novel motif discovery pipeline based on recursive, thresholded entropy minimization. This approach, while obviating the need to compensate for skewed nucleotide composition, distinguishes true binding motifs from noise, quantifies the strengths of individual binding sites based on computed affinity and detects adjacent cofactor binding sites that coordinate with the targets of primary, immunoprecipitated TFs. We obtained contiguous and bipartite information theory-based position weight matrices (iPWMs) for 93 sequence-specific TFs, …

The Genomic Cds Sandbox: An Assessment Among Domain Experts., Ayesha Aziz, Kensaku Kawamoto, Karen Eilbeck, Marc S Williams, Robert R Freimuth, Mark A Hoffman, Luke V Rasmussen, Casey L Overby, Brian H Shirts, James M Hoffman, Brandon M Welch

Manuscripts, Articles, Book Chapters and Other Papers

Genomics is a promising tool that is becoming more widely available to improve the care and treatment of individuals. While there is much assertion, genomics will most certainly require the use of clinical decision support (CDS) to be fully realized in the routine clinical setting. The National Human Genome Research Institute (NHGRI) of the National Institutes of Health recently convened an in-person, multi-day meeting on this topic. It was widely recognized that there is a need to promote the innovation and development of resources for genomic CDS such as a CDS sandbox. The purpose of this study was to evaluate …

The Challenge Of Analyzing The Results Of Next-Generation Sequencing In Children., Isabelle Thiffault, John Lantos

Manuscripts, Articles, Book Chapters and Other Papers

In recent years, next-generation sequencing technologies have revolutionized approaches to genetic studies. Whole-exome or whole-genome sequencing allows diagnoses in many patients who have complex phenotypes and unusual clinical presentations. As genomic and exomic testing expands in both the research and clinical settings, pediatricians will need to understand the technology of next-generation sequencing and the complexity of interpreting genomic variants relevant to patient phenotypic features. This article briefly explains the technology by which genomes are sequenced and discusses some of the complexity related to interpreting genomic variants. We conclude with some thoughts on the clinical applications of such testing.

Introduction To Bioethics Special Supplement V: Ethical Issues In Genomic Testing Of Children., John D. Lantos

Manuscripts, Articles, Book Chapters and Other Papers

Next-generation genome sequencing of children is one of the most promising and most challenging new technologies in pediatrics. On the one hand, it offers the hope that we will be able to diagnose rare conditions that were previously impossible to diagnose, which, in turn, might lead to new treatments. On the other hand, the technology for sequencing presents daunting problems of interpretation. It is problematic to conduct the research necessary to characterize the pathogenicity of those variants at the same time that we are using them to guide the clinical care of children who have complex medical problems. It is …

Whole-Genome Sequencing And Disability In The Nicu: Exploring Practical And Ethical Challenges., Michael J. Deem

Manuscripts, Articles, Book Chapters and Other Papers

Clinical whole-genome sequencing (WGS) promises to deliver faster diagnoses and lead to better management of care in the NICU. However,several disability rights advocates have expressed concern that clinical use of genetic technologies may reinforce and perpetuate stigmatization of and discrimination against disabled persons in medical and social contexts. There is growing need, then, for clinicians and bioethicists to consider how the clinical use of WGS in the newborn period might exacerbate such harms to persons with disabilities. This article explores ways to extend these concerns to clinical WGS in neonatal care. By considering these perspectives during the early phases of …

Leveraging Global Gene Expression Patterns To Predict Expression Of Unmeasured Genes, James Rudd, René A. Zelaya, Eugene Demidenko, Ellen L. Goode, Casey S. Greene S. Greene, Jennifer A. Doherty

Dartmouth Scholarship

BackgroundLarge collections of paraffin-embedded tissue represent a rich resource to test hypotheses based on gene expression patterns; however, measurement of genome-wide expression is cost-prohibitive on a large scale. Using the known expression correlation structure within a given disease type (in this case, high grade serous ovarian cancer; HGSC), we sought to identify reduced sets of directly measured (DM) genes which could accurately predict the expression of a maximized number of unmeasured genes.

Methylation Of Leukocyte Dna And Ovarian Cancer: Relationships With Disease Status And Outcome, Brooke L. Fridley, Sebastian M. Armasu, Mine S. Cicek, Melissa C. Larson, Chen Wang, Stacey J. Winham, Kimberly R. Kalli, Devin C. Koestler

Dartmouth Scholarship

Genome-wide interrogation of DNA methylation (DNAm) in blood-derived leukocytes has become feasible with the advent of CpG genotyping arrays. In epithelial ovarian cancer (EOC), one report found substantial DNAm differences between cases and controls; however, many of these disease-associated CpGs were attributed to differences in white blood cell type distributions. We examined blood-based DNAm in 336 EOC cases and 398 controls; we included only high-quality CpG loci that did not show evidence of association with white blood cell type distributions to evaluate association with case status and overall survival.

How To Get The Most From Microarray Data: Advice From Reverse Genomics, Ivan P. Gorlov, Ji-Yeon Yang, Jinyoung Byun, Christopher Logothetis, Olga Y. Gorlova, Kim-Anh Do, Christopher Amos

Dartmouth Scholarship

Whole-genome profiling of gene expression is a powerful tool for identifying cancer-associated genes. Genes differentially expressed between normal and tumorous tissues are usually considered to be cancer associated. We recently demonstrated that the analysis of interindividual variation in gene expression can be useful for identifying cancer associated genes. The goal of this study was to identify the best microarray data–derived predictor of known cancer associated genes. We found that the traditional approach of identifying cancer genes—identifying differentially expressed genes—is not very efficient. The analysis of interindividual variation of gene expression in tumor samples identifies cancer-associated genes more effectively. The results …

Technical Desiderata For The Integration Of Genomic Data Into Electronic Health Records., Daniel R Masys, Gail P Jarvik, Neil F Abernethy, Nicholas R Anderson, George J Papanicolaou, Dina N Paltoo, Mark A Hoffman, Isaac S Kohane, Howard P Levy

Manuscripts, Articles, Book Chapters and Other Papers

The era of "Personalized Medicine," guided by individual molecular variation in DNA, RNA, expressed proteins and other forms of high volume molecular data brings new requirements and challenges to the design and implementation of Electronic Health Records (EHRs). In this article we describe the characteristics of biomolecular data that differentiate it from other classes of data commonly found in EHRs, enumerate a set of technical desiderata for its management in healthcare settings, and offer a candidate technical approach to its compact and efficient representation in operational systems.

Genome-Wide Expression Analysis In Down Syndrome: Insight Into Immunodeficiency, Chong Li, Lei Jin, Yun Bai, Qimin Chen, Lijun Fu, Minjun Yang, Huasheng Xiao, Guoping Zhao, Shengyue Wang

PCOM Scholarly Works

Down syndrome (DS) is caused by triplication of Human chromosome 21 (Hsa21) and associated with an array of deleterious phenotypes, including mental retardation, heart defects and immunodeficiency. Genome-wide expression patterns of uncultured peripheral blood cells are useful to understanding of DS-associated immune dysfunction. We used a Human Exon microarray to characterize gene expression in uncultured peripheral blood cells derived from DS individuals and age-matched controls from two age groups: neonate (N) and child (C). A total of 174 transcript clusters (gene-level) with eight located on Hsa21 in N group and 383 transcript clusters including 56 on Hsa21 in C group …

Capturing Changes In Gene Expression Dynamics By Gene Set Differential Coordination Analysis, Tianwei Yu, Yun Bai

PCOM Scholarly Works

Analyzing gene expression data at the gene set level greatly improves feature extraction and data interpretation. Currently most efforts in gene set analysis are focused on differential expression analysis - finding gene sets whose genes show first-order relationship with the clinical outcome. However the regulation of the biological system is complex, and much of the change in gene expression dynamics do not manifest in the form of differential expression. At the gene set level, capturing the change in expression dynamics is difficult due to the complexity and heterogeneity of the gene sets. Here we report a systematic approach to detect …

Improving Gene Expression Data Interpretation By Finding Latent Factors That Co-Regulate Gene Modules With Clinical Factors, Tianwei Yu, Yun Bai

PCOM Scholarly Works

Background: In the analysis of high-throughput data with a clinical outcome, researchers mostly focus on genes/proteins that show first-order relations with the clinical outcome. While this approach yields biomarkers and biological mechanisms that are easily interpretable, it may miss information that is important to the understanding of disease mechanism and/or treatment response. Here we test the hypothesis that unobserved factors can be mobilized by the living system to coordinate the response to the clinical factors.Results: We developed a computational method named Guided Latent Factor Discovery (GLFD) to identify hidden factors that act in combination with the observed clinical factors to …

Gene Order Data From A Model Amphibian (Ambystoma): New Perspectives On Vertebrate Genome Structure And Evolution, Jeramiah J. Smith, S. Randal Voss

Biology Faculty Publications

BACKGROUND: Because amphibians arise from a branch of the vertebrate evolutionary tree that is juxtaposed between fishes and amniotes, they provide important comparative perspective for reconstructing character changes that have occurred during vertebrate evolution. Here, we report the first comparative study of vertebrate genome structure that includes a representative amphibian. We used 491 transcribed sequences from a salamander (Ambystoma) genetic map and whole genome assemblies for human, mouse, rat, dog, chicken, zebrafish, and the freshwater pufferfish Tetraodon nigroviridis to compare gene orders and rearrangement rates.

RESULTS: Ambystoma has experienced a rate of genome rearrangement that is substantially lower than mammalian …