Digital Commons Network^™

Prediction Of Kinase-Substrate Associations Using The Functional Landscape Of Kinases And Phosphorylation Sites, Serhan Yilmaz, Filipa Blasco Tavares Pereira Lopes, Mark R. Chance, Mehmet Koyutürk

Faculty Scholarship

Protein phosphorylation is a key post-translational modification that plays a central role in many cellular processes. With recent advances in biotechnology, thousands of phosphorylated sites can be identified and quantified in a given sample, enabling proteome-wide screening of cellular signaling. However, for most (> 90%) of the phosphorylation sites that are identified in these experiments, the kinase(s) that target these sites are unknown. To broadly utilize available structural, functional, evolutionary, and contextual information in predicting kinase-substrate associations (KSAs), we develop a network-based machine learning framework. Our framework integrates a multitude of data sources to characterize the landscape of functional relationships …

Cophosk: A Method For Comprehensive Kinase Substrate Annotation Using Co-Phosphorylation Analysis, Marzieh Ayati, Danica D. Wiredja, Daniela M. Schlatzer, Sean Maxwell, Ming Li, Mehmet Koyutürk, Mark R. Chance

Faculty Scholarship

We present CoPhosK to predict kinase-substrate associations for phosphopeptide substrates detected by mass spectrometry (MS). The tool utilizes a Naïve Bayes framework with priors of known kinase-substrate associations (KSAs) to generate its predictions. Through the mining of MS data for the collective dynamic signatures of the kinases’ substrates revealed by correlation analysis of phosphopeptide intensity data, the tool infers KSAs in the data for the considerable body of substrates lacking such annotations. We benchmarked the tool against existing approaches for predicting KSAs that rely on static information (e.g. sequences, structures and interactions) using publically available MS data, including breast, colon, …

Finding Fault?: Exploring Legal Duties To Return Incidental Findings In Genomic Research, Elizabeth R. Pike, Karen H. Rothenberg, Benjamin E. Berkman

Faculty Scholarship

The use of whole genome sequencing in biomedical research is expected to produce dramatic advances in human health. The increasing use of this powerful, data-rich new technology in research, however, will inevitably give rise to incidental findings (IFs), findings with individual health or reproductive significance that are beyond the aims of the particular research, and the related questions of whether and to what extent researchers have an ethical obligation to return IFs. Many have concluded that researchers have an ethical obligation to return some findings in some circumstances, but have provided vague or context-dependent approaches to determining which IFs must …

Redefining Genomic Privacy: Trust And Empowerment, Yaniv Erlich, James B. Williams, David Glazer, Kenneth Yocum, Nita A. Farahany, Maynard Olson, Arvind Narayanan, Lincoln D. Stein, Jan A. Witkowski, Robert C. Kain

Faculty Scholarship

Fulfilling the promise of the genetic revolution requires the analysis of large datasets containing information from thousands to millions of participants. However, sharing human genomic data requires protecting subjects from potential harm. Current models rely on de-identification techniques in which privacy versus data utility becomes a zero-sum game. Instead, we propose the use of trust-enabling techniques to create a solution in which researchers and participants both win. To do so we introduce three principles that facilitate trust in genetic research and outline one possible framework built upon those principles. Our hope is that such trust-centric frameworks provide a sustainable solution …

Reflections On The Cost Of "Low-Cost" Whole Genome Sequencing: Framing The Health Policy Debate, Timothy Caulfield, Jim Evans, Amy Mcguire, Christopher Mccabe, Tania Bubela, Robert Cook-Deegan, Jennifer Fishman, Stuart Hogarth, Fiona A. Miller, Vardit Ravitsky, Barbara Biesecker, Pascal Borry, Mildred K. Cho, June C. Carroll, Holly Etchegary, Yann Joly, Kazuto Kato, Sandra Soo-Jim Lee, Karen H. Rothenberg, Pamela Sankar, Michael J. Szego, Pilar Ossorio, Daryl Pullman, Francois Rousseau, Wendy J. Ungar, Brenda Wilson

Faculty Scholarship

The cost of whole genome sequencing is dropping rapidly. There has been a great deal of enthusiasm about the potential for this technological advance to transform clinical care. Given the interest and significant investment in genomics, this seems an ideal time to consider what the evidence tells us about potential benefits and harms, particularly in the context of health care policy. The scale and pace of adoption of this powerful new technology should be driven by clinical need, clinical evidence, and a commitment to put patients at the centre of health care policy.

Gene, Pathway And Network Frameworks To Identify Epistatic Interactions Of Single Nucleotide Polymorphisms Derived From Gwas Data, Yu Liu, Sean Maxwell, Tao Feng, Xiaofeng Zhu, Robert C. Elston, Mehmet Koyutürk, Mark R. Chance

Faculty Scholarship

Background: Interactions among genomic loci (also known as epistasis) have been suggested as one of the potential sources of missing heritability in single locus analysis of genome-wide association studies (GWAS). The computational burden of searching for interactions is compounded by the extremely low threshold for identifying significant p-values due to multiple hypothesis testing corrections. Utilizing prior biological knowledge to restrict the set of candidate SNP pairs to be tested can alleviate this problem, but systematic studies that investigate the relative merits of integrating different biological frameworks and GWAS data have not been conducted.Results: We developed four biologically based frameworks to …

Dialogues, Dilemmas, And Disclosures: Genomic Research And Incidental Findings, Lynn W. Bush, Karen H. Rothenberg

Faculty Scholarship

No abstract provided.

Genes And Plays: Bringing Elsi Issues To Life, Karen H. Rothenberg, Lynn W. Bush

Faculty Scholarship

Ethical complexities surround the promise of genomic technology and the power of genetic information as they alter conceptions of identity and dynamics within personal and professional relationships. Creative approaches such as dramatic vignettes offer a unique analytical stage for imagining the bioethical past and future. Dramatic narratives can bring to life images of differing perspectives and values when experiencing innovations in medicine. Although the scientific landscape shifts, concerns expressed in theatre from 50 years ago parallel many contemporary ELSI (ethical, legal and social implications) issues, highlighting the ongoing struggle to appreciate the impact of emerging genetic technologies on relationships. To …

Synthetic Hype: A Skeptical View Of The Promise Of Synthetic Biology, Jonathan Kahn

Faculty Scholarship

This article urges a cautious approach to assessing the promises of synthetic biology based on broad political and economic concerns rather than technical ones. Specifically, I mark three related dynamics which place the current buzz around synthetic biology in a broader context. These dynamics are not necessarily distinctive to synthetic biology, but perhaps for that very reason, they may carry added weight. First, is the place of synthetic biology as the latest entry in the procession of what I call the “receding horizons of biotechnological promise.” Second, is the excitement generated by the related promise of finding seemingly direct technological …

An Integrative -Omics Approach To Identify Functional Sub-Networks In Human Colorectal Cancer, Rod K. Nibbe, Mehmet Koyutürk, Mark R. Chance

Faculty Scholarship

Emerging evidence indicates that gene products implicated in human cancers often cluster together in "hot spots" in protein-protein interaction (PPI) networks. Additionally, small sub-networks within PPI networks that demonstrate synergistic differential expression with respect to tumorigenic phenotypes were recently shown to be more accurate classifiers of disease progression when compared to single targets identified by traditional approaches. However, many of these studies rely exclusively on mRNA expression data, a useful but limited measure of cellular activity. Proteomic profiling experiments provide information at the post-translational level, yet they generally screen only a limited fraction of the proteome. Here, we demonstrate that …

Target Selection And Annotation For The Structural Genomics Of The Amidohydrolase And Enolase Superfamilies, Xiaojing Zheng, Mark R. Chance

Faculty Scholarship

To study the substrate specificity of enzymes, we use the amidohydrolase and enolase superfamilies as model systems; members of these superfamilies share a common TIM barrel fold and catalyze a wide range of chemical reactions. Here, we describe a collaboration between the Enzyme Specificity Consortium (ENSPEC) and the New York SGX Research Center for Structural Genomics (NYSGXRC) that aims to maximize the structural coverage of the amidohydrolase and enolase superfamilies. Using sequence- and structure-based protein comparisons, we first selected 535 target proteins from a variety of genomes for high-throughput structure determination by X-ray crystallography; 63 of these targets were not …

Judging Genes: Implications Of The Second Generation Of Genetic Tests In The Courtroom, Diane E. Hoffmann, Karen H. Rothenberg

Faculty Scholarship

The use of DNA tests for identification has revolutionized court proceedings in criminal and paternity cases. Now, requests by litigants to admit or compel a second generation of genetic tests – tests to confirm or predict genetic diseases and conditions – threaten to affect judicial decision-making in many more contexts. Unlike DNA tests for identification, these second generation tests may provide highly personal health and behavioral information about individuals and their relatives and will pose new challenges for trial court judges. This article reports on an original empirical study of how judges analyze these requests and uses the study results …

The Scarlet Gene: Behavioral Genetics, Criminal Law, And Racial And Ethnic Stigma, Karen H. Rothenberg, Alice Wang

Faculty Scholarship

Imagine that a scientist from the state university asks you and your family to participate in a study on a particular gene variant associated with alcoholism. The project focuses on your ethnic group, the Tracy Islanders, who have a higher incidence of alcoholism, as well as a higher incidence of the gene variant, than the general population. You will not be informed whether you have the gene variant, but your participation in the study might help scientists develop drugs to help individuals control their addiction to alcohol. You have a family history of alcoholism, and you are concerned that your …

When Should Judges Admit Or Compel Genetic Tests?, Diane E. Hoffmann, Karen H. Rothenberg

Faculty Scholarship

No abstract provided.

A Brief History Of Bioperl, Colin Crossman, Arti K. Rai

Faculty Scholarship

Large-scale open-source projects face a litany of pitfalls and difficulties. Problems of contribution quality, credit for contributions, project coordination, funding, and mission-creep are ever-present. Of these, long-term funding and project coordination can interact to form a particularly difficult problem for open-source projects in an academic environment.

BioPerl was chosen as an example of a successful academic open-source project. Several of the roadblocks and hurdles encountered and overcome in the development of BioPerl are examined through the telling of the history of the project. Along the way, key points of open-source law are explained, such as license choice and copyright.

The …

The Unblazed Trail: Bioinformatics And The Protection Of Genetic Knowledge, Lawrence M. Sung

Faculty Scholarship

No abstract provided.

Consent To The Use Of Stored Dna For Genetics Research: A Survey Of Attitudes In The Jewish Population, Marc D. Schwartz, Karen H. Rothenberg, Linda Joseph, Judith Benkendorf, Caryn Lerman

Faculty Scholarship

No abstract provided.

Social Implications Of Genetic Testing, Karen H. Rothenberg

Faculty Scholarship

This paper examines the social implications of predictive genetic testing and its impact on the insurance industry. Although the Human Genome Project has the potential to improve the health of our nation, it also may serve as a means of highlighting genetic differences among individuals and ethnic groups. Thus, if we are to reach the full promise of the Project, society must address the public's fears of genetic discrimination in insurance and employment context. Following an analysis of state and federal legislation on genetic privacy and discrimination, the paper concludes with a challenge to the insurance industry to work with …

Toward A Framework Of Mutualism: The Jewish Community In Genetics Research, Karen H. Rothenberg, Amy B. Rutkin

Faculty Scholarship

No abstract provided.

Cancer Genetic Susceptibility Testing: Ethical And Policy Implications For Future Research And Clinical Practice, Benjamin S. Wilfond, Karen H. Rothenberg, Elizabeth J. Thomson, Caryn Lerman

Faculty Scholarship

No abstract provided.

Genetic Information And The Workplace: Legislative Approaches And Policy Challenges, Karen H. Rothenberg, Barbara Fuller, Mark Rothstein, Troy Duster, Mary Jo Ellis Kahn, Rita Cunningham, Beth Fine, Kathy Hudson, Mary-Claire King, Patricia Murphy, Gary Swergold, Francis Collins

Faculty Scholarship

No abstract provided.

Genetic Discrimination And Health Insurance: An Urgent Need For Reform, Kathy L. Hudson, Karen H. Rothenberg, Lori B. Andrews, Mary Jo Ellis Kahn, Francis S. Collins

Faculty Scholarship

No abstract provided.