Life Sciences Commons^™

Deep Learning Image Analysis To Isolate And Characterize Different Stages Of S-Phase In Human Cells, Kevin A. Boyd, Rudranil Mitra, John Santerre, Christopher L. Sansam

SMU Data Science Review

Abstract. This research used deep learning for image analysis by isolating and characterizing distinct DNA replication patterns in human cells. By leveraging high-resolution microscopy images of multiple cells stained with 5-Ethynyl-2′-deoxyuridine (EdU), a replication marker, this analysis utilized Convolutional Neural Networks (CNNs) to perform image segmentation and to provide robust and reliable classification results. First multiple cells in a field of focus were identified using a pretrained CNN called Cellpose. After identifying the location of each cell in the image a python script was created to crop out each cell into individual .tif files. After careful annotation, a CNN was …

Eco-Interoception: What Plants, Fungi And Protista Have Taught My Body, Sara Riley Dotterer

Art Theses and Dissertations

To me, ecology is the relational, full-body awareness that I am made up of and deeply connected to everything around me; and for better or worse, this is reciprocal. I form ecotones, an ecological transitional zone between two ecosystems, with the world around me. I use this ecotonal lens to blur binaries and dissolve boundaries between me and the world “outside my body.” During my Masters of Fine Arts at Southern Methodist University, I have continuously explored and represented the lives of various more-than-human species outside of my body, including plants, fungi and protista through an ecotonal lens. Although these …

Effect Of Resistance Training On White Blood Cell Count And Chemotherapy Efficacy In Triple-Negative Breast Cancer Patients During Adriamycin-Cyclophosphamide Chemotherapy Treatment, Mimi Wassef

The Larrie and Bobbi Weil Undergraduate Research Award

Triple-negative breast cancer (TNBC) is one of the most difficult subtypes of breast cancer to treat due to a lack of molecular targets. While chemotherapy (CT) has become the standard form of treatment, the administration of CT depends on adequate white blood cell (WBC) count. When WBC becomes too low, patients risk becoming ineligible for treatment. In the general population, WBC count has been shown to increase as a result of exercise, but little research has been done on the effects of exercise and WBC count in the TNBC population. The purpose of this study is to determine if 12 …

Roles Of Individual Protein In De Novo Polycomb Protein Recruitment, Piao Ye

Biological Sciences Theses and Dissertations

Polycomb Group (PcG) proteins are evolutionarily conserved epigenetic transcriptional regulators that maintain the transcriptional repression of silenced genes by maintaining heritable chromatin states. PcG proteins first discovered as repressors of Hox genes in Drosophila, later were shown to regulate a wide range of genes. In mammals, PcG proteins are involved in maintaining pluripotent state of stem cells and controlling cell differentiation. Misexpression of PcG protein leads to cancers like lymphoma and melanoma. PcG proteins maintain rather than initiate transcriptional repression, once PcG – mediated repression is established it can be maintained through an unlimited number of cycles. Most studies of …

Dissecting Interactions Across Gene Regulatory Layers In C. Elegans, Morgan Taylor

Biological Sciences Theses and Dissertations

The nematode Caenorhabditis elegans is a powerful tool for studying nervous system genetics. Though relatively simple compared to mammals, C. elegans boasts a remarkably well-conserved neuronal genome and proteome, and its utility in the characterization of neuronal genes has been well-established. However, gene expression is often controlled by complex interactions between multiple genes, and teasing apart the functions of individual genes within such networks remains a challenge. Dissecting these interaction networks is crucial in determining the multifaceted functions of important, conserved regulatory genes. Here we explore interactions between gene regulatory layers in the C. elegans nervous system, employing a synthetic …

Regulation And Function Of The Mec-8/Rbpms Rna Binding Protein In Vivo, Xiaoyu Liang

Biological Sciences Theses and Dissertations

Alternative splicing is a major form of post-transcriptional regulation of gene expression which plays a pivotal role in cell/tissue- specific identity, diversity, and function. The mechanisms of alternative splicing are well studied; however, the functional consequences of the spliced transcripts are relatively less demonstrated. Therefore, many efforts are needed to understand the physiological relevance of alternative splicing. RNA binding proteins are critical regulators of alternative splicing, their malfunction disrupt the normal networks, and further underlies many diseases. To understand how alternative splicing contributes to the physiological functions in the cells or tissues, we explored the regulatory networks of RNA binding …

Assembly Of The Peripheral Arm Subunits Of Escherichia Coli Complex I And Analysis Of Clinical Mutations, Hind Alkhaldi

Biological Sciences Theses and Dissertations

Respiratory Complex I from E. coli is a proto-type of the mitochondrial enzyme, consisting of a 6-subunit peripheral arm (B-CD-E-F-G-I) and a 7-subunit membrane arm. When subunits E-F-G (N-module), were expressed alone they formed an active complex as determined by co-immunoprecipitation and native gel electrophoresis. When co-expressed with subunits B and CD, only a complex of E-F-G was found. When these five subunits were co-expressed with subunit I and two membrane subunits, A and H, a complex of B-CD-E-F-G-I was membrane-bound, constituting the N- and Q-modules. Assembly of Complex I was also followed by splitting the genes between two plasmids, …

Activation Of P53-Regulated Pro-Survival Signals And Hypoxia-Independent Mitochondrial Targeting Of Tigar By E6 Oncoproteins Of High-Risk Hpvs, Lacin Yapindi

Biological Sciences Theses and Dissertations

The high-risk human papillomaviruses are small, non-enveloped double-stranded DNA viruses that infect the basal epithelial keratinocytes. The majority of HPV infections are self-limiting and asymptomatic; however, in 2-4% of all infected individuals, persistent infections with high-risk HPVs lead to malignancies, including head-and-neck cancers and anogenital carcinomas, particularly cervical cancers. The HPV life cycle is strongly tied to the normal differentiation process of the epithelial tissue. Upon cell entry, the viral genome is maintained as episomal DNA within the nuclei of HPV-infected basal keratinocytes and amplified to a low copy number as the cells divide. As a part of the self-renewing …

Closed-Loop Brain-Computer Interfaces For Memory Restoration Using Deep Brain Stimulation, David Xiaoliang Wang

Electrical Engineering Theses and Dissertations

The past two decades have witnessed the rapid growth of therapeutic brain-computer interfaces (BCI) targeting a diversity of brain dysfunctions. Among many neurosurgical procedures, deep brain stimulation (DBS) with neuromodulation technique has emerged as a fruitful treatment for neurodegenerative disorders such as epilepsy, Parkinson's disease, post-traumatic amnesia, and Alzheimer's disease, as well as neuropsychiatric disorders such as depression, obsessive-compulsive disorder, and schizophrenia. In parallel to the open-loop neuromodulation strategies for neuromotor disorders, recent investigations have demonstrated the superior performance of closed-loop neuromodulation systems for memory-relevant disorders due to the more sophisticated underlying brain circuitry during cognitive processes. Our efforts are …

The Roles Of Individual Proteins In De Novo Recruitment Of Pcg Repressive Complexes To Giant, Anni Kum

Biological Sciences Theses and Dissertations

Epigenetic gene regulation is the process by which external factors regulate the genome. This research studies Polycomb Group (PcG) proteins which function as epigenetic agents that work together in complexes to maintain gene silencing for multiple cellular generations. Drosophila melanogaster PcG proteins can be organized into three canonical complexes: Pho-RC, PRC1, and PRC2. Though there are multiple proposed models for the order of recruitment, it is generally accepted that PhoRC, PRC1, and PRC2 interact with each other to stably recruit to a target gene. Since these proteins are highly conserved, this project studies PcG proteins in the model organism, Drosophila …

Making Forests, Making Communities: An Ethnography Of Reforestation In Monteverde, Costa Rica, Megan Brown

Anthropology Theses and Dissertations

Reforestation is not just planting trees in the ground. More than net increase in forest cover, reforestation is a complex political endeavor undertaken by both humans and non-humans and a popular climate change mitigation tactic. However, little research has examined the dynamics between selection of specific reforestation strategies, health, and community resilience, particularly with attention to entanglements between the lives of both human and non-human forest dwellers. This ethnographic work, based on six months of in-person fieldwork and six months of digital ethnography, examines reforestation and forest relations in Costa Rica’s Monte Verde zone, a region which experienced widespread deforestation, …

Clinical Diagnosis Support With Convolutional Neural Network By Transfer Learning, Spencer Fogleman, Jeremy Otsap, Sangrae Cho

SMU Data Science Review

Breast cancer is prevalent among women in the United States. Breast cancer screening is standard but requires a radiologist to review screening images to make a diagnosis. Diagnosis through the traditional screening method of mammography currently has an accuracy of about 78% for women of all ages and demographics. A more recent and precise technique called Digital Breast Tomosynthesis (DBT) has shown to be more promising but is less well studied. A machine learning model trained on DBT images has the potential to increase the success of identifying breast cancer and reduce the time it takes to diagnose a patient, …

Identification And Characterization Of Forest Fire Risk Zones Leveraging Machine Learning Methods, Joshua Balson, Matt Chinchilla, Cam Lu, Jeff Washburn, Nibhrat Lohia

SMU Data Science Review

Across the United States, record numbers of wildfires are observed costing billions of dollars in property damage, polluting the environment, and putting lives at risk. The ability of emergency management professionals, city planners, and private entities such as insurance companies to determine if an area is at higher risk of a fire breaking out has never been greater. This paper proposes a novel methodology for identifying and characterizing zones with increased risks of forest fires. Methods involving machine learning techniques use the widely available and recorded data, thus making it possible to implement the tool quickly.

Biochemical Evaluation Of Drug Inhibition Of Abc Transporters, Maisa Correa De Oliveira

Biological Sciences Theses and Dissertations

Multidrug resistant (MDR) cancers often become resistant to pharmacologically and structurally diverse drugs by overexpressing members of the family of ATP Binding Cassette (ABC) transporters. These membrane pumps protect normal cells by actively exporting a large range of toxins out of the cells. Classic MDR is often correlated with the overexpression of three well-studied mammalian ABC transporters: P-glycoprotein (P-gp), Breast Cancer Resistant Protein (BCRP), and Multidrug Resistant Protein 1 (MRP1).

P-gp is the most studied ABC transporter, and the search for P-gp inhibitors as co-therapeutics to combat MDR has had little success after decades of studies. We previously used high-throughput …

Application Of Artificial Intelligence And Machine Learning In Chemistry, Niraj Verma

Chemistry Theses and Dissertations

In the last four years, I have been exposed to various topics in scientific research under the supervision of Dr. Kraka in the CATCO group. Numerous involved chemistry projects were undertaken to gain an understanding of the basic laws of nature involving vibrational spectroscopy, molecular acidity, and catalysts based on transition metals for halogen chemistry. The insights from computational chemistry were then applied to model and predict various complicated problems in chemistry via artificial intelligence. With the help of classical artificial intelligence, the non-covalent interactions governing the properties of proteins and water properties were analyzed. Significant improvements were made in …

Bayesian Statistical Modeling Of Metagenomics Sequencing Data, Shuang Jiang

Statistical Science Theses and Dissertations

Microbiome count data are high-dimensional and usually suffer from uneven sampling depth, over-dispersion, and zero-inflation. In this thesis, we develop specialized analytical models for analyzing such count data. In Chapter 2, I develop a bi-level Bayesian hierarchical framework for microbiome differential abundance analysis. The bottom level is a multivariate count-generating process that links the observed counts to their latent normalized abundances. The top level is a mixture of Gaussian distributions with a feature selection scheme for differential abundance analysis. A simulation study on both simulated and synthetic data is conducted. A colorectal cancer case study demonstrates that a resulting diagnostic …

Mechanistic Studies Of Drug-Like Inhibitors Of P-Glycoprotein Using Atpase Assays, Electron Spin Resonance Spectroscopy And Cancer Cell Models, Gang Chen

Biological Sciences Theses and Dissertations

Multidrug resistance (MDR) in cancer and other diseases is frequently associated with transmembrane efflux proteins, one of which is P-glycoprotein (P-gp). Over-expression of P-gp in cancer cells increases the efflux of therapeutic drugs rendering them ineffective. In order to re-sensitize multidrug resistant cancers to chemotherapy, we have found potential inhibitors of P-gp by in silico screening methods, and several of these inhibitors were shown to successfully overcome MDR in the drug resistant DU145TXR prostate cancer cell line. The best of the identified hit compounds were further investigated with regard to the mechanism of inhibition using ATPase activity assays and electron …

Dynamic Mechanisms Of Multidrug Resistance In Human Cancers And Gram Negative Pathogens, Lauren Ammerman

Biological Sciences Theses and Dissertations

This dissertation focuses upon dynamic agents of multidrug resistance (MDR). We used a combination of in silico and in vitro techniques to investigate two membrane transporters that confer MDR – P-glycoprotein, which confers MDR in human cancers, and MtrD, which confers MDR in Neisseria gonorrhoeae. Inhibitors targeting both proteins have tremendous potential for use as co-therapeutics in the treatment of multidrug resistant cancers, or of multidrug resistant infections. However, previously identified inhibitors of P-gp have failed clinical trials due to off-target effects and associated toxicities. Furthermore, the molecular mechanism of antibiotic transport by MtrD is poorly understood, and this dearth …

Black Apollo Of Science: The Life Of Ernest Everett Just - Summarizing Timeline, Sumitography And Concept Poster, Lillie R. Jenkins

Perkins Faculty Research and Special Events

This two-part chronology is based on Kenneth R. Manning’s biography, Black Apollo of Science: The Life of Ernest Everett Just (1983). Like other such timelines, this one details Just’s life and pioneering research work. Additionally, and distinctively, this timetable lays out Just’s pioneering fund-seeking and his work mentoring African American female co-researchers (Part 1). A sumitography featuring the United States Postal Service’s postage stamp (1996) recognizes Just’s innovative thinking in biology (Part 2). Following this logic, the author includes a proof-of-concept poster commending E.E. Just’s work as a forward-thinking administrator. This timeline summarizes, chronicles, and aims to re-frame Just’s …

Rela/P65 Blocks Histone Deacetylase-3 Neurotoxicity And Protects Neurons Against Neuronal Death Induced By Polyq-Expanded Huntingtin And Ataxin-1 In A P65 Phospho S276 Dependent Manner, Yiyu Zhang

Biological Sciences Theses and Dissertations

Neurodegenerative diseases have a large negative impact to human society. Symptoms of neurodegenerative diseases includes memory loss, impaired recognition, motor dysfunction due to dysregulated neuronal loss in different brain regions. However, the neurobiological basis of these brain diseases is not fully understood and there are no cures or effective treatments. Polyglutamine (Poly-Q) disorders is a class of neurodegenerative diseases that are caused by polyglutamine expansion within the protein coding regions of specific genes. Huntington’s disease (HD), Spinal Cerebellar Ataxia Type 1 (SCA1) and Spinal Cerebellar Ataxia Type 3 (SCA3) are three common diseases among Poly-Q disorders. To better understand the …

Evolutionary Bioethics Advanced By Ernest Everett Just: Implications For Biology, Ethics, And Theology, Theodore Walker

Perkins Faculty Research and Special Events

Ernest Everett Just (1883-1941) is an acknowledged “pioneer” in biology, being honored with a Black Heritage postage stamp in 1996. Here we discover that Just also made pioneering contributions to general evolutionary bioethics (distinct from special medical bioethics) by advancing a cell-biology-rooted theory of the origin and continuing evolution of ethical behavior influenced by the “law of environmental dependence.”

See especially “The Origin of Man’s Ethical Behavior (1941, unpublished book manuscript) by Ernest Everett Just and Hedwig Schnetzler Just, discovered in 2018 among the collected papers of E.E. Just at the Moorland-Spingarn Research Center at Howard University.

Accordingly, evolution is …

Stationary Exercise Classification Using Imus And Deep Learning, Andrew M. Heroy, Zackary Gill, Samantha Sprague, David Stroud, John Santerre

SMU Data Science Review

In the current market, successful fitness tracking devices utilize heart rate and GPS to determine performance. These devices are useful, but don't extensively classify stationary exercise. This paper proposes a modern approach for tuning and investigating optimal neural network types on stationary exercises using Inertial Measurement Units (IMUs). Using three IMUs located on the ankle, waist, and wrist, data is collected to map the body as it moves during the stationary physical activity. A novel five-stage deep learning tuning system was written and deployed to classify user movement as one of three classes: air squats, jumping jacks, and kettlebell swings. …

Martin Luther King Jr. And Ernest Everett Just - On Evolution Of Ethical Behavior, Theodore Walker

Perkins Faculty Research and Special Events

Rev. Martin Luther King Jr. prescribed an evolutionary advance in ethical behavior: the total “abolition of poverty” and the abolition of war throughout “the world house.” Cell biologist Ernest Everett Just advanced the idea that human ethical behavior evolved from cellular origins.

Also, astrobiologists Chandra Wickramasinghe and Sir Fred Hoyle advanced the idea of cosmic biology, including stellar evolution and cosmic evolution. From cells to humans to stars and cosmology, evolutionary natural science converges with natural theology.

Peroxiredoxin 6 And Inflammation In Alzheimer's Disease, Jared Ferrell-Penniman

Biological Sciences Theses and Dissertations

Alzheimer’s disease (AD) is known for its debilitating symptoms and poor prognosis. However, despite intense research into neurodegenerative diseases, there are few therapies targeted at the underlying mechanisms of the disease. Oxidative stress (OS) and inflammation are cellular phenomena thought to be key to the progression of the disease. Critically, peroxiredoxin 6 (Prx6), an antioxidant protein with multiple functions, has been identified from mammalian studies as a potential regulator of both OS and inflammation that may have a specific effect on AD. This project seeks to elucidate the role of Prx6 in AD as well as the underlying mechanisms. Drosophila …

Recruitment Of Polycomb-Group Proteins At Giant In Drosophila Embryos, Elnaz Ghotbi Ravandi

Biological Sciences Theses and Dissertations

Polycomb Group (PcG) proteins are evolutionarily conserved epigenetic transcriptional regulators that maintain the transcriptional repression of silenced genes. PcG mediated silencing is divided into two phases: initiation and maintenance. During the initiation phase, PcG proteins initially recognize and bind to their target genes. Once PcG proteins are recruited to their target genes, they can maintain transcriptional repression through an unlimited number of cell cycles. Most studies on PcG proteins have been focused on the maintenance phase of PcG silencing, and the molecular mechanisms by which PcG proteins are initially recruited to their target genes remained unknown. Two models have been …

Using Machine Learning For Antimicrobial Resistant Dna Identification, Jason I. Lingle, John Santerre

SMU Data Science Review

In this paper, we present a novel machine learning-based methodology for identifying bacteria DNA sub-sequences that are associated with antimicrobial resistance. The dramatic rise in cases of antibiotic resistant bacteria has been an increasing threat across the globe as the existing treatments are rendered ineffective in treating most of these cases due to mutations of their DNA. Among the most recent bacteria to display antimicrobial resistance (AMR) is Neisseria Gonorrhea with the first global treatment failure taking place in 2016. In 2018, new cases of resistance to multiple, high levels of antibiotics were reported in the United Kingdom and Australia. …

Investigation Of The Electrode Polarization Effect For Biosensor Applications, Anil Koklu

Mechanical Engineering Research Theses and Dissertations

My research focuses on electrokinetic transport. Particularly, in this dissertation, we focus on fabrication and testing of micro electrodes with nanostructured surfaces to minimize the electrode polarization (EP) effects for biosensor applications. In the first study, electrochemical deposition of gold nanoparticles on to planar gold electrodes was used to generate rough surfaces. Dendritic nanostructures that reduced EP up to two orders of magnitude was obtained by optimizing the deposition conditions. These structures also enhanced dielectrophoresis (DEP) response of our bio-chips, making them usable in physiological buffers. In further studies we discovered a universal scaling of EP in the frequency domain, …

Parallel Multipole Expansion Algorithms And Their Biology Applications, Jiahui Chen

Mathematics Theses and Dissertations

N-body pairwise interactions are ubiquitous in scientific areas such as astrophysics, fluids mechanics, electrical engineering, molecular biology, etc. Computing these interactions using direct sum of an O(N) cost is expensive, whereas multipole expansion methods, such as the fast multipole method (FMM) or treecode, can reduce the cost to O(N) or O(N log N). This thesis focuses on developing numerical algorithms of Cartesian FMM and treecode, as well as using these algorithms to directly or implicitly solve biological problems involving pairwise interactions. This thesis consists of the following topics. 1) A cyclic parallel scheme is developed to handle the load balancing …

The ‘Law Of Environmental Dependence’ - Biology And Ethics In The Work Of Ernest Everett Just: + Found – Some 251 Mostly Typed Pages, Theodore Walker

Perkins Faculty Research and Special Events

Abstract-

“The Origin of Man’s Ethical Behavior” (circa October 1941) by Ernest Everett Just and Hedwig A. Schnetzler Just - is an unpublished book manuscript about the biological origins and evolution of ethical behavior, and about “the law of environmental dependence.” Missing since Just’s death in October 1941, it was found and identified in May 2018 among the collected papers of Ernest Everett Just preserved at the Howard University Moorland-Spingarn Research Center in Washington, DC. In addition to the 1996 US postage with the caption “Ernest E. Just, Biologist,” we now have reason to add two new postage stamps with …

Htlv-1 Latency-Maintenance Factor P30ii Modulates Tax-Induced Nf-Kappa B Signaling Through A P53-Regulated Mechanism, Aditi Malu

Biological Sciences Theses and Dissertations

The human T-cell leukemia virus type-1 (HTLV-1) infects CD4+ T-cells and is the etiological agent of adult T-cell leukemia/lymphoma (ATL), an aggressive and often-fatal lymphoproliferative neoplastic disease. The major transactivator protein, Tax, drives proviral gene expression and replication and plays a key role during the early-stage immortalization of T-cells by HTLV-1. Tax has also been shown to regulate many host cellular signaling pathways, including CREB/ATF, SRF, and NFκB. Another accessory viral protein p30_II acts as a latency-maintenance factor and negatively regulates proviral gene expression and replication. The p30^II protein counters Tax-dependent gene expression at the transcriptional and posttranscriptional …