NETWORK TOPOLOGY IN HUMAN PROTEIN INTERACTION DATA PREDICTS FUNCTIONAL ASSOCIATION

High-throughput assays, such as yeast two-hybrid system, have generated a huge amount of protein-protein interaction (PPI) data in the past decade. This tremendously increases the need for developing reliable methods to systematically and automatically suggest protein functions and relationships between them. With the available PPI data, it is now possible to study the functions and relationships in the context of a large-scale network. To data, several network-based schemes have been provided to effectively annotate protein functions on a large scale. However, due to those inherent noises in high-throughput data generation, new methods and algorithms should be developed to increase the reliability of functional annotations. Previous work in a yeast PPI network (Samanta and Liang, 2003) has shown that the local connection topology, particularly for two proteins sharing an unusually large number of neighbors, can predict functional associations between proteins, and hence suggest their functions. One advantage of the work is that their algorithm is not sensitive to noises (false positives) in high-throughput PPI data. In this study, we improved their prediction scheme by developing a new algorithm and new methods which we applied on a human PPI network to make a genome-wide functional inference. We used the new algorithm to measure and reduce the influence of hub proteins on detecting functionally associated proteins. We used the annotations of the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) as independent and unbiased benchmarks to evaluate our algorithms and methods within the human PPI network. We showed that, compared with the previous work from Samanta and Liang, our algorithm and methods developed in this study improved the overall quality of functional inferences for human proteins. By applying the algorithms to the human PPI network, we obtained 4,233 significant functional associations among 1,754 proteins. Further comparisons of their KEGG and GO annotations allowed us to assign 466 KEGG pathway annotations to 274 proteins and 123 GO annotations to 114 proteins with estimated false discovery rates of <21% for KEGG and <30% for GO. We clustered 1,729 proteins by their functional associations and made pathway analysis to identify several subclusters that are highly enriched in certain signaling pathways. Particularly, we performed a detailed analysis on a subcluster enriched in the transforming growth factor β signaling pathway (P<10-50) which is important in cell proliferation and tumorigenesis. Analysis of another four subclusters also suggested potential new players in six signaling pathways worthy of further experimental investigations. Our study gives clear insight into the common neighbor-based prediction scheme and provides a reliable method for large-scale functional annotations in this post-genomic era.

BRAIN ACTIVATION AND CONNECTIVITY IN NON-DISABLED MULTIPLE SCLEROSIS PATIENTS

Multiple sclerosis (MS) is the most common demyelinating disease affecting the central nervous system. There is no cure for MS and current therapies have limited efficacy. While the majority of individuals with MS develop significant clinical disability, a subset experiences a disease course with minimal impairment even in the presence of significant apparent tissue damage on magnetic resonance imaging (MRI). The current studies combined functional MRI and diffusion tensor imaging (DTI) to elucidate brain mechanisms associated with lack of clinical disability in patients with MS. Recent evidence has implicated cortical reorganization as a mechanism to limit the clinical manifestation of the disease. Functional MRI was used to test the hypothesis that non-disabled MS patients (Expanded Disability Status Scale ≤ 1.5) show increased recruitment of cognitive control regions (dorsolateral prefrontal and anterior cingulate cortex) while performing sensory, motor and cognitive tasks. Compared to matched healthy controls, patients increased activation of cognitive control brain regions when performing non-dominant hand movements and the 2-back working memory task. Using dynamic causal modeling, we tested whether increased cognitive control recruitment is associated with alterations in connectivity in the working memory functional network. Patients exhibited similar network connectivity to that of control subjects when performing working memory tasks. We subsequently investigated the integrity of major white matter tracts to assess structural connectivity and its relation to activation and functional integration of the cognitive control system. Patients showed substantial alterations in callosal, inferior and posterior white matter tracts and less pronounced involvement of the corticospinal tracts and superior longitudinal fasciculi (SLF). Decreased structural integrity within the right SLF in patients was associated with decreased performance, and decreased activation and connectivity of the cognitive control system when performing working memory tasks. These studies suggest that patient with MS without clinical disability increase cognitive control system recruitment across functional domains and rely on preserved functional and structural connectivity of brain regions associated with this network. Moreover, the current studies show the usefulness of combining brain activation data from functional MRI and structural connectivity data from DTI to improve our understanding of brain adaptation mechanisms to neurological disease.

Multiple retinal detachment surgery: A functional outcome study. The Houston Vision Assessment Test-Retina (HVAT-Retina)

Retinal detachment is a common ophthalmologic procedure, and outcome is typically measured by a single factor-improvement in visual acuity. Health related functional outcome testing, which quantifies patient's self-reported perception of impairment, can be integrated with objective clinical findings. Based on the patient's self-assessed lifestyle impairment, the physician and patient together can make an informed decision on the treatment that is most likely to benefit the patient. ^ A functional outcome test (the Houston Vision Assessment Test-Retina; HVAT-Retina) was developed and validated in patients with multiple retinal detachments in the same eye. The HVAT-Retina divides an estimated total impairment into subcomponents: contribution of visual disability (potentially correctable by retinal detachment surgery) and nonvisual physical disabilities (co-morbidities not affected by retinal detachment surgery. ^ Seventy-six patients participated in this prospective multicenter study. Seven patients were excluded from the analysis because they were not certain of their answers. Cronbach's alpha coefficient was 0.91 for presurgery HVAT-Retina and 0.94 post-surgery. The item-to-total correlation ranged from 0.50 to 0.88. Visual impairment score improved by 9 points from pre-surgery (p = 0.0003). Physical impairment score also improved from pre-surgery (p = 0.0002). ^ In conclusion, the results of this study demonstrate that the instrument is reliable and valid in patients presenting with recurrent retinal detachments. The HVAT-Retina is a simple instrument and does not burden the patient or the health professional in terms of time or cost. It may be self-administrated, not requiring an interviewer. Because the HVAT-Retina was designed to demonstrate outcomes perceivable by the patient, it has the potential to guide the decision making process between patient and physician. ^

Delineating the molecular basis of human genetic diseases: Epigenetic and functional studies

Identifying and characterizing the genes responsible for inherited human diseases will ultimately lead to a more holistic understanding of disease pathogenesis, catalyze new diagnostic and treatment modalities, and provide insights into basic biological processes. This dissertation presents research aimed at delineating the genetic and molecular basis of human diseases through epigenetic and functional studies and can be divided into two independent areas of research. The first area of research describes the development of two high-throughput melting curve based methods to assay DNA methylation, referred to as McMSP and McCOBRA. The goal of this project was to develop DNA methylation methods that can be used to rapidly determine the DNA methylation status at a specific locus in a large number of samples. McMSP and McCOBRA provide several advantages over existing methods, as they are simple, accurate, robust, and high-throughput making them applicable to large-scale DNA methylation studies. McMSP and McCOBRA were then used in an epigenetic study of the complex disease Ankylosing spondylitis (AS). Specifically, I tested the hypothesis that aberrant patterns of DNA methylation in five AS candidate genes contribute to disease susceptibility. While no statistically significant methylation differences were observed between cases and controls, this is the first study to investigate the hypothesis that epigenetic variation contributes to AS susceptibility and therefore provides the conceptual framework for future studies. ^ In the second area of research, I performed experiments to better delimit the function of aryl hydrocarbon receptor-interacting protein-like 1 (AIPL1), which when mutated causes various forms of inherited blindness such as Leber congenital amaurosis. A yeast two-hybrid screen was performed to identify putative AIPL1-interacting proteins. After screening 2 × 106 bovine retinal cDNA library clones, 6 unique putative AIPL1-interacting proteins were identified. While these 6 AIPL1 protein-protein interactions must be confirmed, their identification is an important step in understanding the functional role of AIPL1 within the retina and will provide insight into the molecular mechanisms underlying inherited blindness. ^

The impact of functional impairment on the survival of patients with Alzheimer's disease

Alzheimer's disease (AD), the most common form of dementia, is the fifth leading cause of death among U.S. adults aged 65 or older. Most AD patients have shorter life expectancy compared with older people without dementia. This disease has become an enormous challenge in the aging society and is also a global problem. Not only do families of patients with Alzheimer's disease need to pay attention to this problem, but also the healthcare system and society as a whole have to confront. In dementia, functional impairment is associated with basic activities of daily living (ADL) and instrumental activities of daily living (IADL). For patients with Alzheimer's disease, problems typically appear in performing IADL and progress to the inability of managing less complex ADL functions of personal care. Thus, assessment of ADLs can be used for early accurate diagnosis of Alzheimer's disease. It should be useful for patients, caregivers, clinicians, and policy planners to estimate the survival of patients with Alzheimer's disease. However, it is unclear that when making predictions of patient outcome according to their histories, time-dependent covariates will provide us with important information on how changes in a patient's status can effect the survival. In this study, we examined the effect of impaired basic ADL as measured by the Physical Self-Maintenance Scale (PSMS) and utilized a multistate survival analysis approach to estimate the probability of death in the first few years of initial visit for AD patients taking into consideration the possibility of impaired basic ADL. The dataset used in this study was obtained from the Baylor Alzheimer's Disease and Memory Disorders Center (ADMDC). No impaired basic ADL and older age at onset of impaired basic ADL were associated with longer survival. These findings suggest that the occurrence of impaired basic ADL and age at impaired basic ADL could be predictors of survival among patients with Alzheimer's disease. ^

Structural and functional analysis of p84N5

Normal development and tissue homeostasis requires the carefully orchestrated balance between cell proliferation and cell death. Cell cycle checkpoints control the extent of cell proliferation. Cell death is coordinated through the activation of a cell suicide pathway that results in the morphologically recognizable form of death, apoptosis. Tumorigenesis requires that the balance between these two pathways be disrupted. The tumor suppressor protein Rb has not only been shown to be involved in the enforcement of cell cycle checkpoints, but has also been implicated in playing a role in the regulation of apoptosis. The manner in which Rb enforces cell cycle checkpoints has been well studied; however, its involvement in the regulation of apoptosis is still very unclear. p84N5 is a novel nuclear death domain containing protein that has been shown to interact with the N-terminus of Rb. The fact that it contains a death domain and the fact that it is nuclear localized possibly provides the first known mechanism for apoptotic signaling from the nucleus. The following study tested the hypothesis that the novel exclusively nuclear death domain containing protein p84N5 is an important mediator of programmed cell death and that its apoptotic function is reliant upon its nuclear localization and is regulated by unique functional domains within the p84N5 protein. We identified the p84N5 nuclear localization signal (NLS), eliminated it, and tested the functional significance of nuclear localization by using wild type and mutant sequences fused to EGFP-C1 (Clontech) to create wild type GFPN5 and subsequent mutants. The results of these assays demonstrated exclusive nuclear localization of GFPN5 is required for normal p84N5 induced apoptosis. We further conducted large-scale mutagenesis of the GFPN5 construct to identify a minimal region within p84N5 capable of interacting with Rb. We were able to identify a minimal sequence containing p84N5 amino acids 318 to 464 that was capable of interacting with Rb in co-immunoprecipitation assays. We continued by conducting a structural and functional analysis to identify the region or regions within p84N5 responsible for inducing apoptosis. Point mutations and small-scale deletions within the death domain of p84N5 lessened the effect but did not eliminate p84N5-induced cytotoxicity. Further analysis revealed that the minimal sequence of 318 to 464 of p84N5 was capable of inducing apoptosis to a similar degree as wild-type GFPN5 protein. Since amino acids 318 to 464 of p84N5 are capable of inducing apoptosis and interacting with Rb, we propose possible mechanisms whereby p84N5 may function in a Rb regulated manner. These results demonstrate that p84N5 induced apoptosis is reliant upon its nuclear localization and is regulated by unique functional domains within the p84N5 protein. ^