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Bioinformatics

Theses/Dissertations

2016

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Articles 61 - 90 of 90

Full-Text Articles in Life Sciences

A Bioinformatics Approach To Addressing The Responses Of Rice Aleurone Cells To Hormones Abscisic Acid And Gibberellic Acid, Kenneth Arthur Watanabe May 2016

A Bioinformatics Approach To Addressing The Responses Of Rice Aleurone Cells To Hormones Abscisic Acid And Gibberellic Acid, Kenneth Arthur Watanabe

UNLV Theses, Dissertations, Professional Papers, and Capstones

The hormone abscisic acid (ABA) is biosynthesized by higher plants in response to various abiotic stresses such as drought and antagonizes the growth and germination-promoting hormone gibberellic acid (GA). The seed is a model system for studying desiccation tolerance and germination. The thin layer of cells surrounding the seed, the aleurone layer, plays a direct role in seed germination and an indirect role in desiccation tolerance. The goal of my research is to address the molecular mechanism underlying the responses of rice aleurone cells to ABA and GA, by taking a genomics approach. An accurate and complete annotation of the …


Genomic Drivers Of Cutaneous Squamous Cell Carcinoma Development, Vida Chitsazzadeh May 2016

Genomic Drivers Of Cutaneous Squamous Cell Carcinoma Development, Vida Chitsazzadeh

Dissertations & Theses (Open Access)

Skin cancer is the most common malignancy in humans. Annually, in U.S. there are over 3 million cases with an estimated overall economic impact of $2 billion. Cutaneous Squamous Cell Carcinoma (cuSCC) comprises 15-20% of all skin cancers. cuSCC has the best-defined progression from a distinct precancerous lesion, the Actinic Keratosis (AK), to invasive cuSCC. Destructive therapies for AK treatment must be used repetitively, causing significant morbidity. There is a tremendous need for targeted diagnostics and therapy for AKs, representing an important opportunity for secondary skin cancer prevention. Our knowledge of the molecular and cellular events that lead to the …


Expression Of Genes For Peptide/Protein Hormones And Their Cognate Receptors In Breast Carcinomas As Biomarkers Predicting Risk Of Recurrence., Michael Wesley Daniels May 2016

Expression Of Genes For Peptide/Protein Hormones And Their Cognate Receptors In Breast Carcinomas As Biomarkers Predicting Risk Of Recurrence., Michael Wesley Daniels

Electronic Theses and Dissertations

Certain hormones and/or receptors influencing normal cellular pathways were detected in breast cancers. The hypothesis is that gene subsets predict risk of breast carcinoma recurrence in patients with primary disease. Gene expression of 55 hormones and 73 receptors were determined by microarray with LCM-procured carcinoma cells of 247 de-identified biopsies. Univariate and multivariate Cox regressions were determined using expression levels of each hormone/receptor gene, individually or as a pair. Significant genes derived for each subset were analyzed to predict risk of cancer recurrence with 1000 LASSO training/test sets. A 14-gene molecular signature was identified for predicting clinical outcome without regard …


Integrated Analysis Of Mirna/Mrna Expression And Gene Methylation Using Sparse Canonical Correlation Analysis., Dake Yang May 2016

Integrated Analysis Of Mirna/Mrna Expression And Gene Methylation Using Sparse Canonical Correlation Analysis., Dake Yang

Electronic Theses and Dissertations

MicroRNAs (miRNAs) are a large number of small endogenous non-coding RNA molecules (18-25 nucleotides in length) which regulate expression of genes post-transcriptionally. While a variety of algorithms exist for determining the targets of miRNAs, they are generally based on sequence information and frequently produce lists consisting of thousands of genes. Canonical correlation analysis (CCA) is a multivariate statistical method that can be used to find linear relationships between two data sets, and here we apply CCA to find the linear combination of differentially expressed miRNAs and their corresponding target genes having maximal negative correlation. Due to the high dimensionality, sparse …


Biophysical Studies Of The Allosteric Regulatory Mechanism Of Syk Tandem Sh2 Domains Interacting With Immunoreceptor Tyrosine-Based Activation Motifs, Chao Feng Apr 2016

Biophysical Studies Of The Allosteric Regulatory Mechanism Of Syk Tandem Sh2 Domains Interacting With Immunoreceptor Tyrosine-Based Activation Motifs, Chao Feng

Open Access Dissertations

The non-receptor spleen tyrosine kinase (Syk) is an important player in signal transduction from immunoreceptors to various downstream targets. It is widely expressed in both haematopoietic and epithelial cells. Syk disorder is closely related with many inflammatory and autoimmune diseases, as well as cancers.

Syk associates with immunoreceptors through its tandem SH2 domains (tSH2), which contain two SH2 domains connected by interdomain A. The association of Syk with immunoreceptors is regulated by Y130 phosphorylation in interdomain A. The unphosphorylated tSH2 can bind with the doubly phosphorylated immunoreceptor tyrosine-based activation motif (dp-ITAM) of the cytoplasmic domains of immunoreceptors with very high …


Information Representation And Computation Of Spike Trains In Reservoir Computing Systems With Spiking Neurons And Analog Neurons, Amin Almassian Mar 2016

Information Representation And Computation Of Spike Trains In Reservoir Computing Systems With Spiking Neurons And Analog Neurons, Amin Almassian

Dissertations and Theses

Real-time processing of space-and-time-variant signals is imperative for perception and real-world problem-solving. In the brain, spatio-temporal stimuli are converted into spike trains by sensory neurons and projected to the neurons in subcortical and cortical layers for further processing.

Reservoir Computing (RC) is a neural computation paradigm that is inspired by cortical Neural Networks (NN). It is promising for real-time, on-line computation of spatio-temporal signals. An RC system incorporates a Recurrent Neural Network (RNN) called reservoir, the state of which is changed by a trajectory of perturbations caused by a spatio-temporal input sequence. A trained, non- recurrent, linear readout-layer interprets the …


Neuronal Insult Either By Exposure To Lead Or By Direct Neuronal Damage Cause Genome-Wide Changes In Dna Methylation And Histone 3 Lysine 36 Trimethylation, Arko Sen Jan 2016

Neuronal Insult Either By Exposure To Lead Or By Direct Neuronal Damage Cause Genome-Wide Changes In Dna Methylation And Histone 3 Lysine 36 Trimethylation, Arko Sen

Wayne State University Dissertations

Prenatal and postnatal exposure to pervasive neuro-toxicants such as Lead (Pb) has been reported to causes extensive and diverse changes in the epigenetic profile. Among epigenetic modification, DNA methylation (5mC) is perhaps the most widely studied and has been proposed to be potential early biomarkers for Pb toxicity. Several studies have demonstrated the association between Pb-exposure and 5mC. However most of these studies are restricted to looking at a specific set of target genes or repetitive elements. Therefore, one of the main objectives of our study was to use an unbiased genome-wide approach to look at Pb-exposure associated changes in …


Systems Biology Approaches For The Analysis Of High-Throughput Biological Data, Michele Donato Jan 2016

Systems Biology Approaches For The Analysis Of High-Throughput Biological Data, Michele Donato

Wayne State University Dissertations

The identification of biological processes involved with a certain phenotype, such as a disease or drug treatment, is the goal of the majority of life sciences experiments.

Pathway analysis methods are used to interpret high-throughput biological data to identify such processes by incorporating information on biological systems to translate data into biological knowledge.

Although widely used, current methods share a number of limitations.

First, they do not take into account the individual contribution of each gene to the phenotype in analysis.

Second, most of the methods include parameters of difficult interpretation, often arbitrarily set.

Third, the results of all methods …


Assessing Accuracies And Improving Efficiency For Segmentation-Based Rna Secondary Structure Prediction Methods, Gerardo A. Cardenas Jan 2016

Assessing Accuracies And Improving Efficiency For Segmentation-Based Rna Secondary Structure Prediction Methods, Gerardo A. Cardenas

Open Access Theses & Dissertations

RNA secondary structure prediction has become an important area of interest in biology and medicine because it helps in understanding the mechanisms of many biological processes such as gene regulation and viral replication, and in designing RNA-based therapies to treat various diseases such as cancers and AIDS. Different thermodynamics-based computational algorithms for RNA structure prediction exist, and have been used to help understand the disease mechanisms and design treatments. However, most of these computational tools that can predict complex pseudoknot structures have a sequence length limitation of few hundred nucleotide bases due to their high demands of computer resources. Yet, …


Identifying Non-Classical Active Sites As A Tool For Enzyme Inhibition, Marisol Serrano Jan 2016

Identifying Non-Classical Active Sites As A Tool For Enzyme Inhibition, Marisol Serrano

Open Access Theses & Dissertations

Chagas disease, caused by the parasite Trypanosoma cruzi, is an endemic life-threatening disease that affects mainly the heart. It remains the leading cause of heart failure in Latin American countries. Since current treatments against this parasite are highly toxic and somewhat ineffective, novel and more efficacious types of interventions are desired. Cruzain, identified as the major cathepsin for T. cruzi, plays a major role in the parasite's life cycle; making this enzyme very attractive for potential trypanocidal drugs discovery. The recombinant cruzain is synthesized as a zymogenic pro-protein (PCZN) which possesses a pro domain and a catalytic domain. In this …


Exploring Factors Influencing Information Technology Portfolio Selection Process In Government-Funded Bioinformatics Projects, Braulio J. Cabral Jan 2016

Exploring Factors Influencing Information Technology Portfolio Selection Process In Government-Funded Bioinformatics Projects, Braulio J. Cabral

Walden Dissertations and Doctoral Studies

In 2012, the National Cancer Institute's (NCI) Board of Scientific Advisors (BSA) conducted a review of the Center for Biomedical Informatics and Information Technology's (CBIIT) bioinformatics program. The BSA suggested that the lack of a formal project selection process made it difficult to determine the alignment of projects with the mission of the organization. The problem addressed by this study was that CBIIT did not have an in-depth understanding of the project selection process and the factors influencing the process. The purpose of this study was to understand the project selection process at CBIIT. The research methodology was an exploratory …


Evaluation Of Active And Passive Neonatal Tetanus Surveillance Systems In Katsina State, Nigeria, Shafique Sani Nass Jan 2016

Evaluation Of Active And Passive Neonatal Tetanus Surveillance Systems In Katsina State, Nigeria, Shafique Sani Nass

Walden Dissertations and Doctoral Studies

The incidence and mortality rates of neonatal tetanus (NNT) remain underreported in Nigeria. This cross-sectional study was guided by the Mosley and Chen's model for the elements of child survival in developing countries. The goals of the study were twofold: (a) to compare the NNT prevalence and the mortality rates from the existing surveillance system and active surveillance of health facility records in 7 selected health facilities from 2010 to 2014 in Katsina state, Nigeria and (b) to assess the associations between selected NNT risk factors, number of maternal tetanus toxoid injections, frequency of antenatal visits, place of delivery, and …


Power Analysis In Applied Linear Regression For Cell Type-Specific Differential Expression Detection, Edmund Glass Jan 2016

Power Analysis In Applied Linear Regression For Cell Type-Specific Differential Expression Detection, Edmund Glass

Theses and Dissertations

The goal of many human disease-oriented studies is to detect molecular mechanisms different between healthy controls and patients. Yet, commonly used gene expression measurements from any tissues suffer from variability of cell composition. This variability hinders the detection of differentially expressed genes and is often ignored. However, this variability may actually be advantageous, as heterogeneous gene expression measurements coupled with cell counts may provide deeper insights into the gene expression differences on the cell type-specific level. Published computational methods use linear regression to estimate cell type-specific differential expression. Yet, they do not consider many artifacts hidden in high-dimensional gene expression …


Biomedical Word Sense Disambiguation With Neural Word And Concept Embeddings, Akm Sabbir Jan 2016

Biomedical Word Sense Disambiguation With Neural Word And Concept Embeddings, Akm Sabbir

Theses and Dissertations--Computer Science

Addressing ambiguity issues is an important step in natural language processing (NLP) pipelines designed for information extraction and knowledge discovery. This problem is also common in biomedicine where NLP applications have become indispensable to exploit latent information from biomedical literature and clinical narratives from electronic medical records. In this thesis, we propose an ensemble model that employs recent advances in neural word embeddings along with knowledge based approaches to build a biomedical word sense disambiguation (WSD) system. Specifically, our system identities the correct sense from a given set of candidates for each ambiguous word when presented in its context (surrounding …


Modeling The Mechanism Underlying Environmental And Genetic Determinants Of Gene Expression And Complex Traits, Gregory Alan Moyerbrailean Jan 2016

Modeling The Mechanism Underlying Environmental And Genetic Determinants Of Gene Expression And Complex Traits, Gregory Alan Moyerbrailean

Wayne State University Dissertations

Advances in next-generation sequencing technologies and functional genomics strategies have allowed researchers to identify both common and rare genetic variation, to deeply profile gene expression, and even to determine regions of active gene transcription.

While these technologies and strategies have contributed greatly to our understanding of complex traits and diseases, there are many biological questions and analytical issues to be addressed.

Genome-wide association studies (GWAS) have successfully identified large numbers of genetic variants associated with complex traits and diseases. However, in many cases the mechanistic link between the phenotype and associated variant remains unclear. This may be because most variants …


Differential Gene Expression Of Minnesota (Mn) Hygienic Honeybees (Apis Mellifera) Performing Hygienic Behavior, Eric Northrup Jan 2016

Differential Gene Expression Of Minnesota (Mn) Hygienic Honeybees (Apis Mellifera) Performing Hygienic Behavior, Eric Northrup

All Graduate Theses, Dissertations, and Other Capstone Projects

Hygienic behavior is the ability to remove dead and diseased brood from the comb early as to limit the detrimental impact of the parasite or pathogen. Minnesota (MN) Hygienic bees are generalists of hygienic behavior with the ability to remove several brood infected with several pathogens including the Varroa mite. This study explored the mechanisms of MN Hygienic behavior by comparing the transcriptome of MN Hygienic bee brains to non-hygienic bee brains via cDNA microarray. The results suggest that the brains of MN Hygienic bees may have a greater number of dendritic connections or are more sensitive to neurotransmitters. Quantitative …


Population Genetic Structure Of Necturus Maculosus In Central And Eastern Kentucky, Mason Owen Murphy Jan 2016

Population Genetic Structure Of Necturus Maculosus In Central And Eastern Kentucky, Mason Owen Murphy

Theses and Dissertations--Biology

Population structure is influenced by extrinsic factors, such as landscape architecture and dispersal barriers. Lotic network architecture is known to constrain ecological, demographic and evolutionary processes, including population genetic structure. I assessed the population structure of a widespread aquatic salamander, Necturus maculosus, across three river basins in central and eastern Kentucky. I examined the role of network architecture, anthropogenic barriers, and spatial scale on patterns of population structure. I also provided a review of N. maculosus capture methods and offer an improved trap design. I identified significant structuring between the combined Licking/Kinniconick basin and the Kentucky River basin, with …


Investigation Into The Function Of Endothelial Cells And Their Signaling In Early Salivary Gland Development, Hae Ryong Kwon Jan 2016

Investigation Into The Function Of Endothelial Cells And Their Signaling In Early Salivary Gland Development, Hae Ryong Kwon

Legacy Theses & Dissertations (2009 - 2024)

Functional vasculature regulates organ formation and regeneration. Perfusion-independent and nutrition-independent endothelial regulation of epithelial patterning is of considerable interest for application in restoring parenchymal function. During murine submandibular salivary gland development, the vasculature co-develops with the epithelium; however, it is still unknown if the vasculature has instructive effects on the epithelium. A systems biological study revealed that endothelial genes are enriched in epithelial clefts, suggesting a potential involvement of endothelial cells in early morphogenesis. Using immunodepletion of the endothelial cells from the mesenchyme of reconstituted glands, a requirement for endothelial cells in epithelial patterning was demonstrated. Specifically, lobule formation was …


Attempted Identification Of The Calcium-Dependent Sodium Channel Gene In Paramecium Tetraurelia Using Rnai, Gwendolyn Kuzmishin Jan 2016

Attempted Identification Of The Calcium-Dependent Sodium Channel Gene In Paramecium Tetraurelia Using Rnai, Gwendolyn Kuzmishin

Senior Independent Study Theses

Ion channels play an important role in the swimming behavior of Paramecium tetraurelia. Electrophysiological experiments indicate that a calcium-dependent sodium channel exists in Paramecium, but a gene has not been identified for this channel. It is hypothesized that this channel evolved from a voltage-dependent sodium channel after a whole genome duplication event. In this paper, 13 candidate genes were identified from the Paramecium genome based on their similarity to a reference human voltage-dependent sodium channel. Bioinformatics analysis of the selectivity filter of these putative ion channel genes suggested that at least 8 of the candidate genes were sodium channels …


Expression Of Zinc Fingers And Homeoboxes 2 (Zhx2) And Zhx2 Target Genes In Multiple Tissues Of Wild-Type And Zhx2 Knockout Mice, Minen Al-Kafajy Jan 2016

Expression Of Zinc Fingers And Homeoboxes 2 (Zhx2) And Zhx2 Target Genes In Multiple Tissues Of Wild-Type And Zhx2 Knockout Mice, Minen Al-Kafajy

Theses and Dissertations--Microbiology, Immunology, and Molecular Genetics

The Spear lab has had a long-standing interest in gene regulation in the liver during development and disease. Several years ago, these studies identified a novel transcriptional regulator called Zinc fingers and homeoboxes 2 (Zhx2), which is a member of a small family that includes Zhx1 and Zhx3. All Zhx proteins contain two amino-terminal C2-H2 zinc fingers and four or five carboxy-terminal homeodomains. Previous studies indicate that Zhx proteins can form homodimers and heterodimers with each other.

Zhx2 regulates numerous hepatic genes, including alpha-fetoprotein (AFP) and H19. Genes controlling lipid and cholesterol homeostasis are also regulated by …


Discordant Classification Of Transposable Elements In Segmental Duplications Raise Concerns About Subfamily Definitions, Gilia R. Patterson Jan 2016

Discordant Classification Of Transposable Elements In Segmental Duplications Raise Concerns About Subfamily Definitions, Gilia R. Patterson

Undergraduate Theses, Professional Papers, and Capstone Artifacts

Most of the human genome comes from transposable elements (TEs), sequences of DNA that can move and insert copies of themselves throughout the genome. TE sequences both inform and complicate analyses of genomes, so it is important that TEs are annotated completely and accurately. Remnants of TEs are annotated and classified into subfamilies based on their DNA sequences. A subfamily represents all the copies generated in a burst of replication by a few closely related TEs. Wacholder et al. (2014) suggested that the current methods for representing subfamilies are not accurate and should be reevaluated. We expand on this discussion …


Resolving Gnetum Evolutionary History, Angela Mcfadden Jan 2016

Resolving Gnetum Evolutionary History, Angela Mcfadden

All Master's Theses

Gnetum are non-flowering seed plants of the tropics, indigenous to South America, Africa, and Asia. This group of about 40 species is fascinating to botanists because it shares distinctive morphological characteristics with flowering plants, such as broad leaves, woody stems, and flower-like strobili. There are still questions surrounding the relationships within the genus of Gnetum. With that in mind, I focused my work on generating phylogenetic hypotheses, using two molecular data sets: a concatenation of over 60 different chloroplast genes (66,815 base pairs), and the whole chloroplast genome (128,772 base pairs). This allowed me to compare the two phylogenies …


Interactomics-Based Functional Analysis: Using Interaction Conservation To Probe Bacterial Protein Functions, J. Harry Caufield Jan 2016

Interactomics-Based Functional Analysis: Using Interaction Conservation To Probe Bacterial Protein Functions, J. Harry Caufield

Theses and Dissertations

The emergence of genomics as a discrete field of biology has changed humanity’s understanding of our relationship with bacteria. Sequencing the genome of each newly-discovered bacterial species can reveal novel gene sequences, though the genome may contain genes coding for hundreds or thousands of proteins of unknown function (PUFs). In some cases, these coding sequences appear to be conserved across nearly all bacteria. Exploring the functional roles of these cases ideally requires an integrative, cross-species approach involving not only gene sequences but knowledge of interactions among their products. Protein interactions, studied at genome scale, extend genomics into the field of …


System Genetic Analysis Of Mechanisms Underlying Excessive Alcohol Consumption, Maren L. Smith Jan 2016

System Genetic Analysis Of Mechanisms Underlying Excessive Alcohol Consumption, Maren L. Smith

Theses and Dissertations

Increased alcohol consumption over time is one of the characteristic symptoms of Alcohol Use Disorder (AUD). The molecular mechanisms underlying this escalation in intake is still the subject of study. However, the mesocortical and mesolimbic dopamine pathways, and the extended amygdala, because of their involvement in reward and reinforcement are believed to play key roles in these behavioral changes. Multiple gene expression studies have shown that alcohol affects the expression of thousands of genes in the brain. The studies discussed in this document use the systems biology technique of co-expression network analysis to attempt to find

patterns within genome-wide expression …


Genomic Comparisons And Genome Architecture Of Divergent Trypanosoma Species, Katie Bradwell Jan 2016

Genomic Comparisons And Genome Architecture Of Divergent Trypanosoma Species, Katie Bradwell

Theses and Dissertations

Virulent Trypanosoma cruzi, and the non-pathogenic Trypanosoma conorhini and Trypanosoma rangeli are protozoan parasites with divergent lifestyles. T. cruzi and T. rangeli are endemic to Latin America, whereas T. conorhini is tropicopolitan. Reduviid bug vectors spread these parasites to mammalian hosts, within which T. rangeli and T. conorhini replicate extracellularly, while T. cruzi has intracellular stages. Firstly, this work compares the genomes of these parasites to understand their differing phenotypes. Secondly, genome architecture of T. cruzi is examined to address the effect of a complex hybridization history, polycistronic transcription, and genome plasticity on this organism, and study its highly …


A Pipeline For Creation Of Genome-Scale Metabolic Reconstructions, Shaun W. Norris Jan 2016

A Pipeline For Creation Of Genome-Scale Metabolic Reconstructions, Shaun W. Norris

Theses and Dissertations

The decreasing costs of next generation sequencing technologies and the increasing speeds at which they work have lead to an abundance of 'omic datasets. The need for tools and methods to analyze, annotate, and model these datasets to better understand biological systems is growing. Here we present a novel software pipeline to reconstruct the metabolic model of an organism in silico starting from its genome sequence and a novel compilation of biological databases to better serve the generation of metabolic models. We validate these methods using five Gardnerella vaginalis strains and compare the gene annotation results to NCBI and the …


Evaluating And Improving The Efficiency Of Software And Algorithms For Sequence Data Analysis, Hugh L. Eaves Jan 2016

Evaluating And Improving The Efficiency Of Software And Algorithms For Sequence Data Analysis, Hugh L. Eaves

Theses and Dissertations

With the ever-growing size of sequence data sets, data processing and analysis are an increasingly large portion of the time and money spent on nucleic acid sequencing projects. Correspondingly, the performance of the software and algorithms used to perform that analysis has a direct effect on the time and expense involved. Although the analytical methods are widely varied, certain types of software and algorithms are applicable to a number of areas. Targeting improvements to these common elements has the potential for wide reaching rewards. This dissertation research consisted of several projects to characterize and improve upon the efficiency of several …


A Mechanistic Study Of An Ipsc Model For Leigh’S Disease Caused By Mtdna Mutataion (8993 T>G), John P. Galdun Jan 2016

A Mechanistic Study Of An Ipsc Model For Leigh’S Disease Caused By Mtdna Mutataion (8993 T>G), John P. Galdun

Theses and Dissertations

Mitochondrial diseases encompass a broad range of devastating disorders that typically affect tissues with high-energy requirements. These disorders have been difficult to diagnose and research because of the complexity of mitochondrial genetics, and the large variability seen among patient populations. We have devised and carried out a mechanistic study to generate a cell based model for Leigh’s disease caused by mitochondrial DNA mutation 8993 T>G. Leigh’s disease is a multi-organ system disorder that depends heavily on the mutation burden seen within various tissues. Using new reprogramming and sequencing technologies, we were able to show that Leigh’s disease patient fibroblasts …


Exploration Of The Srx-Prx Axis As A Small-Molecule Target, Murli Mishra Jan 2016

Exploration Of The Srx-Prx Axis As A Small-Molecule Target, Murli Mishra

Theses and Dissertations--Toxicology and Cancer Biology

Lung cancer is a leading cause of cancer-related mortality irrespective of gender. The Sulfiredoxin (Srx) and Peroxiredoxin (Prx) are a group of thiol-based antioxidant proteins that plays an essential role in non-small cell lung cancer. Understanding the molecular characteristics of the Srx-Prx interaction may help design the strategies for future development of therapeutic tools. Based on existing literature and preliminary data from our lab, we hypothesized that the Srx plays a critical role in lung carcinogenesis and targeting the Srx-Prx axis or Srx alone may facilitate future development of targeted therapeutics for prevention and treatment of lung cancer. First, …


Characterization Of Hemerythrin-Like Protein Rv2633c, Michelle D. Cherne Jan 2016

Characterization Of Hemerythrin-Like Protein Rv2633c, Michelle D. Cherne

Honors Undergraduate Theses

Hemerythrin-like protein Rv2633c is a small 18 kDa protein that is expressed in Mycobacterium tuberculosis (Mtb). Sequence analysis of Rv2633c predicts the presence of a hemerythrin-like domain, which binds dioxygen using a µ-oxo-bridge (Fe-O-Fe), rather than a heme group. Though it is noticeably upregulated during macrophage infection and during in vitro acidification, the role of Rv2633c in Mtb survival has yet to be elucidated. This project aims to characterize the function of Rv2633c by studying the in vitro response of the recombinant protein to conditions present in the macrophage lysosome, such as reduced oxygen levels or the …