Life Sciences Commons^™

Assessing Neurobehavioral Deficits And Neuroinflammation Following Rllb In A Transgenic Mouse Model, Aakaash Gosain

Theses

As global conflicts are escalating, military personnel have long faced the constant threat of explosions, heightening the risk of blast-induced traumatic brain injury (bTBI). The recent increase in war conflicts and combat zones worldwide not only puts the military, service members, and police forces at risk but also innocent civilians who are caught in the crossfire. While moderate to severe bTBIs have been extensively studied, the pathology of repeated low-level blasts (rLLB) remains less understood. This research addresses the gap in knowledge regarding the long-term consequences of rLLB injuries in the neural anatomy. A transgenic mouse model was subjected to …

The Role Of Trees In Reducing The Urban Heat Island Effect On The New Jersey Institute Of Technology Campus, Newark, Nj, Dahlia Mansour

Theses

Every year, an estimated 12.3 million tons of glass are generated in the United States. Of all glass generated, only 3.1 million tons are recycled. Despite the near endless recyclability of glass waste, recycling rates in the United States remain low. This is primarily due to the lack of color separation and presence of non-recyclable materials associated with single-stream curbside collection used in many municipalities throughout the country. These factors make recycled glass unusable for many glass bottle manufacturers, causing the majority of glass placed in a recycling bin to eventually be landfilled. The purpose of this research is to …

The Evaluation Of Carbon Benefits Produced By Urban Street Trees, Hanyu Wang

Theses

Urban tree service and urban forestry are important fields that focus on the care and management of trees in urban areas. Urban trees provide numerous benefits around all aspect, including carbon storage, improving air and water qualities. Carbon storage refers to the process of removing carbon dioxide (CO2) from the atmosphere and storing it in various reservoirs, and in this case, in trees and forests.

i-Tree is a suite of software tools developed by the United States Forest Service that provides a range of resources for assessing and managing forests. i-Tree Eco is one of the more used tools from …

A Detailed Parameter Study Into The Dermal Absorption Of Chemical Warfare Agents And The Effects Of Pharmacokinetics, Koko Lear

Theses

Chemical warfare agents (CWAs) are substances of varying toxicity profiles. These chemicals exhibit complex dynamics and pose a serious health risk when released into the environment. A mathematical model based on Fick’s second law of diffusion was developed to comprehend how these compounds were absorbed into the skin. The analysis applied to both small and large doses and, successfully, predicted experimental results. This work also includes the effects of CWA physicochemical properties on evaporation and dermal absorption through the stratum corneum. A sensitivity analysis was conducted to assess the impacts of small variations in the initial dose, environmental conditions, and …

Regulation Of Activity Patterns In Astyanax Mexicanus Cavefish, Udodirim Nwosu

Theses

Organisms commonly modulate their behavioral activity in relation to the 24-hour solar cycle. This modulation of behavior is driven by a combination of responses to external cues in the environment, such as light/dark visual signals, and internal pattern generators that can persist in the absence of external cues. However, there are animals that live in caves or in the deep sea that are isolated from solar circadian cues. How these animals regulate their behavioral activity in relation to external and internal rhythms is an open question in neuroscience that may help us to understand the mechanisms that other animals, including …

The Role Of Irak-1 Transcripts In Sepsis, Adithya Subramanian Sahasranamam

Theses

Sepsis is a complex, life-threatening syndrome that can lead to systemic organ failure and dysfunction. Its high morbidity and mortality rates makes it a critical global health issue. The primary factors at play during sepsis are abnormal inflammation and a lack of oxygen supply to the tissues and muscles. The toll-like receptors play a crucial role in eliciting innate immune in response to infection, primarily through the interleukin-1 receptor-associated kinase (IRAK) pathways. Disturbances in the homeostasis of IRAK signaling cascades can lead to immune dysfunction. n this paper, we review the molecular mechanisms of IRAK-1, an important mediator of TLR-induced …

Comparison Of Longitudinal Changes In Resting State Functional Magnetic Resonance Imaging Between Alzheimer’S And Healthy Controls, Berk Can Yilmaz

Theses

Resting State Functional Magnetic Resonance Imaging (rs-fMRI) is a technique that is widely used for analyzing brain function using different approaches and methods. This study involves rs-fMRI analysis of Blood Oxygenation Level Dependent (BOLD) signals acquired from Alzheimer’s disease (AD) Patients and Healthy Controls (HC). Each subject in the study had both functional and anatomical images with at least one rs-fMRI scan with their Anatomical (T1) scans. Previous rs-fMRI studies have demonstrated that AD shows differences in Amplitude of Low Frequency (<0.1 Hz) Fluctuations (ALFF), and Regional Homogeneity (ReHo) measures according to HCs.

The aim of the study is to investigate individual and group level differences using ReHo and mALFF related …

Polya Db3: A Database Cataloging Polyadenation Sites(Pas) Across Different Species And Their Conservation, Ram Mohan Nambiar

Theses

Polyadenation is an important process occurring in the messenger RNA that involves cleavage of 3 end nascent mRNAs and addition of poly(A) tails. For this thesis,I present PolyA DB3 ,a database cataloging cleavage and polyadenylation sites (PASs) in several genomes specifically for human,mouse,rat and chicken. This database is based on deep sequencing data. PASs are mapped by the 3’ region extraction and deep sequencing (3’READS) method, ensuring unequivocal PAS identification. Large volume of data based on diverse biological samples is used to increase PAS coverage and provide PAS usage information. Strand-specific RNA-seq data were used to extend annotated 3’ ends …

Hypoxic And Viral Contributions To The Etiopathogenesis Of Schizophrenia: A Whole Transcriptome Analysis, Kathryn A. Gorski

Theses

Schizophrenia is a mental illness with a complex and as of yet unclear etiology. It is highly heritable and has a strong polygenic character, however, studies examining the genetics of schizophrenia have not sufficiently explained all variability in its prevalence. Environmental causes are theorized to have a non trivial contribution to the pathoetiology of schizophrenia, including interactions with genetic components, but these mechanisms remain unclear. Analyzing schizophrenia dysfunction using transcriptomic approaches is a paradigm still in its infancy, and fewer studies still have examined non neurological contributions to schizophrenia pathology with next generation sequencing technologies. This pilot study uses several …

Improving Methods To Estimate Time Of Death From Body Temperature, Carly Berdan

Theses

By protocol, ambient and body temperatures are collected at every investigated death scene. These data has been used since 1839 to estimate the time of death, a crucial factor when it comes to cases of unnatural deaths and homicides. The Glaister Equation and Henssge's nomogram, commonly used to calculate estimated time of death, are inconsistent and often do not agree with each other. Therefore, my objective was to evaluate and improve them.

I collected data in the field and consistently measured temperature data. Furthermore, I was granted access to a database of every death in New Jersey and published data. …

Using A Bio-Inspired Model To Understand The Evolution Of The Remora Adhesive Disk, Kaelyn Mykel Gamel

Theses

Manmade adhesives often fail on wet, compliant surfaces, which can result in poor performance when attaching sensors in medical, defense, and research situations. However, a number of fishes have evolved adhesive discs that allow adhesion to surfaces under challenging wetted conditions. A remarkable evolutionary advancement is found in the family of echenidae, colloquially known as the remora. In particular, the remora fishes have the ability to attach to wet, compliant bodies under high shear conditions for extended periods of time. This research addresses the lack of underwater adhesives by using remora adhesion as a bioinspired model. Evolution has taken …

Otolith Morphologies In The Genus Sinocyclocheilus, Iqra Iqbal

Theses

Sinocyclocheilus is a genus of Cyprinid fish found in southern China. This genus contains 68 species of which 40 species have adaptations for life in cave habitats. A common adaptation seen in fish that live in caves with no light is the loss of vision. Such cavefish must therefore rely on other sensory modalities to capture prey, communicate between conspecifics, and potentially avoid predators. Previous studies have identified sensory adaptations in cavefish, including the increase in size and number of mechanoreceptors. Sinocyclocheilus are hearing specialists, and it is possible that cave species of this genus have increased reliance on hearing …

Changes In Morphology During The Development Of The Horn And Hump Of The Chinese Cavefish Sinocyclocheillus Furcodorsalis, Michelle Pluviose

Theses

The genus Sinocyclocheilus endemic to southern China and contains many cavefish species. There are approximately sixty species, of which roughly forty are cave-adapted. Cave Sinocyclocheilus are characterized not only by lack of pigmentation and eyes depending on the species, but also by a unique prominent horn on the top of the skull and dorsal hump rostral under the dorsal fin. The horn and the hump are generally considered troglomorphic characteristics, although their functions are still elusive. Here, the development of these distinctive structures in the species, S. furcodorsalis, was examined by using micro CT scans. The horn of the …

Multisensory Integration In Weakly Electric Fish, Andrea Roeser

Theses

Animals integrate information from across sensory systems, such as vision and hearing, to improve perception. To understand how neural circuits in the central nervous system integrate information from different senses, the responses of midbrain neurons to two categories of electrosensory stimuli in Eigenmannia virescens were studied. The first category of stimulus is electrical signals with frequencies below 50 Hz that are encoded in the activity of ampullary receptors. The second category is amplitude modulations of the electric organ discharge, which are encoded by p-type tuberous receptors. Six multisensory neurons were found that responded to both categories of stimuli. However, when …

Uusing The Kdj As A Trading Strategy On Biotech Companies, Shijie Zha

Theses

Mean Reversion is the most commonly used model in quantitative trading. This model is associated with several factors, like ma5 and ma10 line. These factors are the most significant in stock markets. However, the disadvantages of this model are lag and inaccuracy.

In this research, we get the historical and current stock data by web crawler, analyze the quantitative data and build a new model involved with the KDJ. Taking biotech companies marketed in the United States and B-share marketed in China as the research subjects, the result shows increased profits compared with the Mean Reversion model. It also shows …

Gene Network Understanding And Analysis, Maria E. Somoza

Theses

Gene regulatory network (GRN) is a collection of regulators that interact with each other in the cell to govern the gene expression levels of mRNA and proteins. These regulators can either be DNA, RNA, protein and their complex. Transcriptional gene regulation is an important mechanisms in which an in-depth study can lead to various practical applications, and a greater understanding of how organisms control their cellular behavior. One of the most widely studied organisms in gene regulatory networks are the Mycobacterium tuberculosis and Corynebacterium glutamicum ATCC 13032.

Gene co-expression networks are of biological interests due to co-expressed genes which are …

Moths Fight Back: Arms Race In The Cloud Forest, Diana Pamela Rivera

Theses

Moths and bats engage in a coevolutionary arm race, where the same signals bats use to find moths are being used by moths to avoid bats. Moths evolve not only behavioral but acoustic responses to avoid predation by bats. This research examines one small component of a complex, multispecies arm race between moths and bats. In this study we found that the moth Amastus hyalina displayed both flight and acoustic responses to ultrasonic stimuli.

In tethered flight the tiger moth Amastus hyalina (Arctiinae) exhibits a complex array of reactions to ultrasonic tones that includes changes in flight and production of …

The Role Of Electronsensory Signals On The Locomotor Performance Of The Weakly Electric Fish Apteronotus Albifrons, Oswaldo Gil-Guevara

Theses

Animal locomotion performance responds to different ecological factors that shape relevant aspects of behavior. Conspecific signals is one of these factors and operates in a wide range of contexts. In schooling fish, coordinated movement is based on visual or mechanical cues and signals. In contrast, most gymnotiforms and mormyriforms are nocturnal or live in dark waters and use electric signals for social communication. However, the effect of conspecific electric signals on locomotion and group movement is largely unknown.

Apteronotus albifrons is a well-known model in neuroethological studies of signal processing and locomotion control that relies mostly on visual inputs but …

Unsupervised Gene Regulatory Network Inference On Microarray Data, Nidhi Radia

Theses

Obtaining gene regulatory networks (GRNs) from expression data is a challenging and crucial task. Many computational methods and algorithms have been developed to infer gene networks for gene expression data, which are usually obtained from microarray experiments. A gene network is a method to depict the relation among clusters of genes. To infer gene networks, the unsupervised method is used in this study. The two types of data used are time-series data and steady-state data. The data is analyzed using various tools containing different algorithms and concepts. GRNs from time-series data tools are obtained using the Time-delayed Algorithm for the …

Exact Genome Alignment, Nandini Ghosh

Theses

The increase in the volume of genomic data due to the decrease in the cost of whole genome sequencing techniques has opened up new avenues of research in the field of Bioinformatics, like comparative genomics and evolutionary dynamics. The fundamental task in these studies is to align the genome sequences accurately. Sequence alignment helps to identify regions of similarity between the sequences to establish their functional, evolutionary and structural relationship. The thesis investigates the performance of two sequence alignment programs LASTZ, a hash table based faster method and SSEARCH, a slower but more rigorous Smith-Waterman based approach, on whole genome …

Identifying Modifier Genes In Sma Model Mice, Weiting Xu

Theses

Spinal Muscular Atrophy (SMA) involves the loss of nerve cells called motor neurons in the spinal cord and is classified as a motor neuron disease, it affects 1 in 5000-10000 newborns, one of the leading genetic causes of infant death in USA. Mutations in the SMN1, UBA1, DYNC1H1 and VAPB genes cause spinal muscular atrophy. Extra copies of the SMN2 gene modify the severity of spinal muscular atrophy. Mutations in SMN1 (Motor Neuron 1) mainly causes SMA (Autosomal recessive inheritance). SMN1 gene mutations lead to a shortage of the SMN protein and SMN protein forms SMN complex …

Rice And Mouse Quantitative Phenotype Prediction In Genome-Wide Association Studies With Support Vector Regression, Abdulrhman Fahad M. Aljouie

Theses

Quantitative phenotypes prediction from genotype data is significant for pathogenesis, crop yields, and immunity tests. The scientific community conducted many studies to find unobserved quantitative phenotype high predictive ability models. Early genome-wide association studies (GWAS) focused on genetic variants that are associated with disease or phenotype, however, these variants manly covers small portion of the whole genetic variance, and therefore, the effectiveness of predictions obtained using this information may possibly be circumscribed [ 1 ].

Instead, this study shows prediction ability from whole genome single nucleotide polymorphisms (SNPs) data of 1940 genotyped stoke mouse with - 12k SNPs, and 413 …

Cancer Risk Prediction With Next Generation Sequencing Data Using Machine Learning, Nihir Patel

Theses

The use of computational biology for next generation sequencing (NGS) analysis is rapidly increasing in genomics research. However, the effectiveness of NGS data to predict disease abundance is yet unclear. This research investigates the problem in the whole exome NGS data of the chronic lymphocytic leukemia (CLL) available at dbGaP. Initially, raw reads from samples are aligned to the human reference genome using burrows wheeler aligner. From the samples, structural variants, namely, Single Nucleotide Polymorphism (SNP) and Insertion Deletion (INDEL) are identified and are filtered using SAMtools as well as with Genome Analyzer Tool Kit (GATK). Subsequently, the variants are …

Translation And Transcription Are Required For Endogenous Bursting After Long Term Removal Of Neuromodulators, Stefanie Eisenbach

Theses

Motor pattern-generating networks depend on neuromodulatory inputs to regulate the network activity. The pyloric network of the Cancer borealis stomatogastric ganglion (STG), a rhythmic motor pattern-generating network, requires modulatory inputs to generate this activity. When neuromodulatory inputs are removed, the pyloric network falls silent. However, patterned pyloric activity recovers spontaneously in about 24 hours in organ culture. To determine if synthesis of new proteins are involved in the recovery of pyloric activity after prolonged elimination of neuromodulators, translation inhibitors are tested on the recovery process of pyloric activity in C. borealis. In vitro experiments are conducted; the STG is …

Formation Of Branching Angles At Bifurcations Of Ant Trail Networks, Subash Kusum Ray

Theses

Ants form dendritic trail networks around the nest to search for and exploit food sources located at the periphery of the network. Studies found these trail networks to be very efficient for the ants in terms of time and energy, which later was found stored in the bifurcation angle (θ) of the branches of these trail networks. It has been observed, that bifurcations are symmetrical when moving from the nest to the food source, while are asymmetrical when moving back towards the nest. The mean bifurcation angles have been found to be 50° - 80° for networks radiating out from …

Risk Prediction With Genomic Data, Bharati Jadhav

Theses

Genome wide association study (GWAS) is widely used with various machine learning algorithms to predict disease risk. This thesis investigates this widely used approach of GWAS using Single Nucleotide Polymorphism (SNP) genotype data and a novel approach of disease risk prediction with whole exome sequencing data, namely Whole Exome Wide Association Study (WEWAS). It further applies a discriminating machine learning algorithm, namely a Support Vector Machine (SVM) with different Kernel functions. For this study, only SNPs generated using genotyping technology, which focuses more on common variants, are used initially for disease prediction. Later, the whole exome data generated using Next …

Comparison Of Different Differential Expression Analysis Tools For Rna-Seq Data, Junfei Zhu

Theses

In molecular biology research, RNA-seq is a relatively new method for transcriptome profiling. It utilizes the next generation sequencing technology to provide huge amount information about the variety and abundance of RNA present in an organism of interest at a specific state and a given time. One of the most important tasks of RNA-seq analysis is finding genes that are expressed differently in different subject groups. A lot of differential expression analysis tools for RNA-seq have been developed, but there is no golden standard in this field. In this research, four commonly used tools (DESeq, edgeR, limma, and cuffdiff) are …

Performance Comparison Of Five Rna-Seq Alignment Tools, Yuanpeng Lu

Theses

Aligning millions of short reads to a reference genome is a critical task in high throughput sequencing. In recent years, a large number of mapping algorithms have been developed, all of which have in common that they align a vast number of reads to genomic or transcriptomic sequences. RNA-Seq data is discrete in nature, therefore with reasonable gene models and comparative metrics RNA-Seq data can be simulated to sufficient accuracy to enable meaningful benchmarking of alignment algorithms. To provide guidance in the choice of alignment algorithms, five different alignment tools for RNA-Seq data are evaluated. In order to compare the …

Polyaseeker: A Computational Framework For Identifying Polyadenylation Cleavage Site From Rna-Seq, Xiao Ling

Theses

Alternative polyadenylation (APA) of mRNA plays a crucial role for post-transcriptional gene regulation. Recently, advances in next generation sequencing technology have made it possible to efficiently characterize the transcriptome and identify the 3’end of polyadenylated RNAs. However, no comprehensive bioi nformatic pipelines have fulfilled this goal. The PolyASeeker, a computational framework for identifying polyadenylation cleavage sites from RNA-Seq data is proposed in this thesis. By using the simulated RNA-seq dataset, a novel method is developed to evaluate the performance of the proposed framework versus the traditional A-stretch approach, and compute accurate Precisions and Recalls that previous estimation could not get. …

A Gpu Program To Compute Snp-Snp Interactions In Genome-Wide Association Studies, Srividya Ramakrishnan

Theses

With the recent advances in the next generation sequencing technologies, short read sequences of human genome are made more accessible. Paired end sequencing of short reads is currently the most sensitive method for detecting somatic mutations that arise during tumor development. In this study, a novel approach to optimize the detection of structural variants using a new short read alignment program is presented.

Pairwise interaction effects of the Single Nucleotide Polymorphisms (SNPs) have proven to uncover the underlying complex disease traits. Computing the disease risk based on the interaction effects of SNPs on a case - control study is a …