Genomics Commons^™

Computational Approaches To Delineate Transcriptional And Functional Heterogeneity In Pancreatic Cancer, Sanjana Srinivasan

Dissertations & Theses (Open Access)

Pancreatic ductal adenocarcinoma (PDAC) is an incurable disease characterized by poor survival, dense desmoplastic stroma and activating mutations in KRAS (>90%). These tumors are highly complex ecosystems composed of molecularly distinct sub-populations that exhibit a spectrum of genetic features and associated phenotypes. Despite recent advances in the transcriptomic characterization of PDAC into at least two tumor subtypes, this alone has been insufficient to define more specific patterns of oncogenic dependency. To fully leverage advancements in next generation sequencing and functional genomics, we have sought to establish computational methodologies to aid in refined target discovery, and to develop a novel …

Using Multi-Omics Approaches To Study Flowering Time And Fruit Development In Perennial Fruit Species, Jiali Yu

Doctoral Dissertations

Perennial fruiting plants coordinate their reproductive activities with seasonal changes in the temperate climates, with a pattern of bud set, dormancy establishment, fulfillment of chilling, flowering, fruit set, and fruit ripening. These processes have been optimized for the production of orchard plants that reliably produce quality fruit for human consumption. The understanding of molecular controls of dormancy in fruit trees has grown rapidly in the past decade, however, the complex mechanisms remain largely unknown. This dissertation presents my findings on genetic and epigenetic changes in Prunus species from dormancy to flowering using transcriptomics and epigenomics approaches. First, I compared the …

Mixture Model Approaches To Integrative Analysis Of Multi-Omics Data And Spatially Correlated Genomic Data, Ziqiao Wang

Dissertations & Theses (Open Access)

Integrative genomic data analysis is a powerful tool to study the complex biological processes behind a disease. Statistical methods can model the interrelationships of the involved gene activities through jointly analyzing multiple types of genomic data from different platforms (vertical integration), or improve the power of a study through aggregating the same type of genomic data across studies (horizontal integration). In this dissertation, we propose statistical methods and strategies for integrative multi-omics data in association analysis of disease phenotypes, with an emphasis on cancer applications.

We develop a new strategy based on horizontal integration by leveraging publicly available datasets into …

Understanding The Genetics Of Schizophrenia, Matthew Toohey

Thinking Matters Symposium

Schizophrenia has been considered heritable for a long time, but only with the advent of new technologies such as whole-genome sequencing and genome-wide association studies can we begin to identify specific molecular causes of schizophrenia. This poster will review some of the genetic variants that research groups have associated with schizophrenia. Current research has indicated that schizophrenia is a polygenic disease and has been linked to many genes. Some of these common risk variants are in protein coding sections of the DNA. These proteins are often linked to neurological development or immune system function. Other variants that have been associated …

307— Cooperation Of Selfish Genetic Elements In Stalk-Eyed Flies, Suhani Patel, Ben Mcpherson

GREAT Day Posters

SGEs are selfish genetic elements that increase the likelihood of their own transmission regardless of the host’s best interest. Transposable elements (TEs) and meiotic drivers are both types of SGEs. SGEs subsequently result in genetic conflict as they disrupt functional elements in the genome. We are working to better understand the cooperation of selfish genetic elements in Stalk-Eyed flies. Transposable elements are counteracted by small non-coding RNA molecules called piRNA. These RNA molecules work by reducing the expression of TEs by degrading TE RNA transcripts. Prior work in stalk-eyed flies has shown that TEs are expressed at a higher rate …

Annotation Of The Genome Of Drosophilia Ananassae, Landon Kehr

Celebration of Scholarship 2021

This project involves the use of software to annotate the genome of D. ananassae in collaboration with the Genomics Education Partnership. Annotations include coding regions and transcription start sites for specific genes that are homologous to D. melanogaster genes.

Comparative Genomics For D. Ananassae, Hailey Chang, Tia Watkins

Celebration of Scholarship 2021

The purpose of this project is to utilize comparative genomics tools to characterize specific genes in D. Ananassae. This is done in collaboration with the Genomics Education Partnership.

An Ensemble Of The Icluster Method To Analyze Longitudinal Lncrna Expression Data For Psoriasis Patients, Suyan Tian, Chi Wang

Internal Medicine Faculty Publications

BACKGROUND: Psoriasis is an immune-mediated, inflammatory disorder of the skin with chronic inflammation and hyper-proliferation of the epidermis. Since psoriasis has genetic components and the diseased tissue of psoriasis is very easily accessible, it is natural to use high-throughput technologies to characterize psoriasis and thus seek targeted therapies. Transcriptional profiles change correspondingly after an intervention. Unlike cross-sectional gene expression data, longitudinal gene expression data can capture the dynamic changes and thus facilitate causal inference.

METHODS: Using the iCluster method as a building block, an ensemble method was proposed and applied to a longitudinal gene expression dataset for psoriasis, with the …

A Whole-Genome Scan For Association With Invasion Success In The Fruit Fly Drosophila Suzukii Using Contrasts Of Allele Frequencies Corrected For Population Structure, Laure Olazcuaga, Anne Loiseau, Hugues Parrinello, Mathilde Paris, Antoine Fraimout, Christelle Guedot, Lauren M. Diepenbrock, Marc Kenis, Jinping Zhang, Xiao Chen, Nicolas Borowiec, Benoit Facon, Heidrun Vogt, Donald K. Price, Heiko Vogel, Benjamin Prud'homme, Arnaud Estoup, Mathieu Gautier

Life Sciences Faculty Research

Evidence is accumulating that evolutionary changes are not only common during biological invasions but may also contribute directly to invasion success. The genomic basis of such changes is still largely unexplored. Yet, understanding the genomic response to invasion may help to predict the conditions under which invasiveness can be enhanced or suppressed. Here, we characterized the genome response of the spotted wing drosophila Drosophila suzukii during the worldwide invasion of this pest insect species, by conducting a genome-wide association study to identify genes involved in adaptive processes during invasion. Genomic data from 22 population samples were analyzed to detect genetic …

The Giant Axolotl Genome Uncovers The Evolution, Scaling, And Transcriptional Control Of Complex Gene Loci, Siegfried Schloissnig, Akane Kawaguchi, Sergej Nowoshilow, Francisco Falcon, Leo Otsuki, Pietro Tardivo, Nataliya Timoshevskaya, Melissa C. Keinath, Jeramiah J. Smith, S. Randal Voss, Elly M. Tanaka

Biology Faculty Publications

Vertebrates harbor recognizably orthologous gene complements but vary 100-fold in genome size. How chromosomal organization scales with genome expansion is unclear, and how acute changes in gene regulation, as during axolotl limb regeneration, occur in the context of a vast genome has remained a riddle. Here, we describe the chromosome-scale assembly of the giant, 32 Gb axolotl genome. Hi-C contact data revealed the scaling properties of interphase and mitotic chromosome organization. Analysis of the assembly yielded understanding of the evolution of large, syntenic multigene clusters, including the Major Histocompatibility Complex (MHC) and the functional regulatory landscape of the Fibroblast Growth …

Variation In The Genome And Transcriptome Associated With Beef Cattle Production And Investigation Of The Metabolic Consequences Of Beta-Adrenergic Agonist Supplementation, Renae L. Sieck

Department of Animal Science: Dissertations, Theses, and Student Research

Beta-adrenergic agonists (β-AA) are widely used supplements in livestock production to improve feed efficiency and increase lean muscle mass. Heat stress is one of the largest economic burdens to the livestock industry due to production efficiency losses and morbidity and mortality of animals. Both β-AA and catecholamines released in response to heat stress bind to β-adrenoceptors on the skeletal muscle cell surface to activate downstream signaling pathways. The purpose of this study was to determine if β-AA supplementation and heat stress have an additive effect on the skeletal muscle transcriptome. 3’ RNA sequencing of samples of the longissimus dorsiwas …

Nanopore Guided Regional Assembly, Eleni Adam, Desh Ranjan, Harold Riethman

College of Sciences Posters

The telomeres are the “caps” of the chromosomes and their vital role is to protect them. Possible telomere dysfunction caused by telomere rearrangements can be fatal for the cell and result in age-related diseases, including cancer. The telomeres and subtelomeres are regions that are hard to investigate. The current technology cannot provide their complete sequence, instead the DNA is given in multiple pieces. Current methods of assembling the pieces of these regions are not accurate enough due to the region’s high variability and complex repeated patterns. We propose a hybrid assembly method, the NPGREAT, which utilizes two of the latest …

Genomic Studies Of Beaf-32 In Drosophila, John Keller Mckowen Iii

LSU Doctoral Dissertations

Compared to humans, the model organism Drosophila melanogaster is particularly gene dense and encodes several insulator binding proteins (IBP) to aid in its genome organization. Our focus of research is a particular IBP, Boundary Element-Associated Factor of 32kD (BEAF). BEAF primarily binds near the promoters of constitutively active housekeeping genes. It is thought to help maintain the active state of these genes by preventing the spread of repressive chromatin. Additionally, the enhancer blocking activity of BEAF is thought to prevent aberrant activation or silencing of genes. BEAF appears to be ubiquitously expressed among cells and tissues, albeit at varying levels. …

16s Rrna Gene Sequence Analysis Of Acetic And Lactic Acid Bacteria Isolated From Philippine Sugarcane Wine (Basi) [Research Note], John Russel G. Sevilla, Michael Angelo S. Esteban, Honey Bhabes R. Iñigo, Audrey May V. Orillaza, Baby Richard R. Navarro

The Philippine Agricultural Scientist

Basi, a traditional sugarcane wine of the Philippines, was studied. Here, we used molecular- and cultural-based methods to isolate, identify and characterize acid-producing bacteria, specifically acetic and lactic acid bacteria, from basi. Acid producers were focused on owing to the rapid spoilage of basi via acidification with air exposure. Two strains each of acetic and lactic acid bacteria were isolated. DNA was extracted from these isolates. PCR-amplified DNA products were subjected to 16S rRNA gene sequencing. The sequences of the isolates were then aligned with BLAST database sequences and found to have high similarities to Acetobacter malorum (99%), …

Phenotypic Characters And Expression Of Cytokinin Oxidase 2 (Osckx2) Gene In Rice Genotypes With Enhanced Grain Filling Traits, Cielo Luz C. Mondejar, Maria Genaleen Q. Diaz, Teresita H. Borromeo, Tonette P. Laude, Arlen A. Dela Cruz, Roel Rodriguez Suralta

The Philippine Agricultural Scientist

Poor grain filling is still a major problem in rice production. Recent attention in crop varietal improvement is focused on heritable delayed foliar senescence, enhanced root system, and fast-synchronous grain filling pattern. Nine genotypes were characterized for these three enhanced grain-filling traits to determine the role of these traits on grain yield. Based on heritable delayed foliar senescence, NSIC Rc436 and NSIC Rc512 were characterized as Type A, while PSB Rc18 and NSIC Rc514 as Type B. These genotypes had a significantly higher yield than IR64, owing to their high spikelets number. Data suggested a positive correlation between the delayed …

Micro- And Macroevolution Of Drab Plumage Color In Birds, Rafael Marcondes

LSU Doctoral Dissertations

I address the evolution of drab bird colors at micro- and macroevolutionary scales. I use as a study system the Furnariida, a clade of >600 Neotropical passerine species that, despite tremendous ecological and morphological diversity, are colored almost exclusively in shades of brown and grey produced by melanin pigments.

In chapters two and three, I took a macroevolutionary approach and showed that (1) plumage colors in the Furnariida evolve at similar rates in a monochromatic clade, males of a dichromatic clade, and females of a dichromatic clade; (2) ventral plumage color evolves faster than dorsal; (3) bird species that occupy …

Growth Of Diatom Fistulifera Alcalina In Bacterial Co-Culture And Comparative Mitogenomics Of Fistulifera Species, Erwin David Berthold

FIU Electronic Theses and Dissertations

Diatoms are excellent biological models of growth and intracellular oil generation. The productivity and compounds of diatoms, especially oils, support aquatic food chains and human medical and industrial needs. The qualities that made diatoms prolific producers, specifically diatom physiological features such as growth rates with intracellular lipid storage in alkaline environments, are however poorly understood. Another physiological aspect that remains unexplored is the effects of bacteria on the growth and lipid production of alkaliphilic diatoms. More studies, especially co-cultures, are needed for advances in diatom biology and strain performance for the algal biotechnological field. Besides physiology, diatom genetics using next-generation …

Stategra: Multi-Omics Data Integration - A Conceptual Scheme With A Bioinformatics Pipeline, Nuria Planell, Vincenzo Lagani, Patricia Sebastian-Leon, Frans Van Der Kloet, Ewoud Ewing, Nestoras Karathanasis, Arantxa Urdangarin, Imanol Arozarena, Maja Jagodic, Ioannis Tsamardinos, Sonia Tarazona, Ana Conesa, Jesper Tegner, David Gomez-Cabrero

Computational Medicine Center Faculty Papers

Technologies for profiling samples using different omics platforms have been at the forefront since the human genome project. Large-scale multi-omics data hold the promise of deciphering different regulatory layers. Yet, while there is a myriad of bioinformatics tools, each multi-omics analysis appears to start from scratch with an arbitrary decision over which tools to use and how to combine them. Therefore, it is an unmet need to conceptualize how to integrate such data and implement and validate pipelines in different cases. We have designed a conceptual framework (STATegra), aiming it to be as generic as possible for multi-omics analysis, combining …

Machine Learning Approaches For The Prediction Of Bone Mineral Density By Using Genomic And Phenotypic Data Of 5130 Older Men, Qing Wu, Fatma Nasoz, Jongyun Jung, Bibek Bhattarai, Mira V. Han, Robert A. Greenes, Kenneth G. Saag

School of Medicine Faculty Publications

The study aimed to utilize machine learning (ML) approaches and genomic data to develop a prediction model for bone mineral density (BMD) and identify the best modeling approach for BMD prediction. The genomic and phenotypic data of Osteoporotic Fractures in Men Study (n = 5130) was analyzed. Genetic risk score (GRS) was calculated from 1103 associated SNPs for each participant after a comprehensive genotype imputation. Data were normalized and divided into a training set (80%) and a validation set (20%) for analysis. Random forest, gradient boosting, neural network, and linear regression were used to develop BMD prediction models separately. Ten-fold …

Multimodal Single-Cell/Nucleus Rna Sequencing Data Analysis Uncovers Molecular Networks Between Disease-Associated Microglia And Astrocytes With Implications For Drug Repurposing In Alzheimer’S Disease, Jielin Xu, Pengyue Zhang, Yin Huang, Yadi Zhou, Yuan Hou, Lynn M. Bekris, Justin Lathia, Chien-Wei Chiang, Lang Li, Andrew A. Pieper, James B. Leverenz, Jeffrey Cummings, Feixiong Cheng

School of Medicine Faculty Publications

Because disease-associated microglia (DAM) and disease-associated astrocytes (DAA) are involved in the pathophysiology of Alzheimer's disease (AD), we systematically identified molecular networks between DAM and DAA to uncover novel therapeutic targets for AD. Specifically, we develop a network-based methodology that leverages single-cell/nucleus RNA sequencing data from both transgenic mouse models and AD patient brains, as well as drug-target network, metaboliteenzyme associations, the human protein-protein interactome, and large-scale longitudinal patient data. Through this approach, we find both common and unique gene network regulators between DAM (i.e., PAK1, MAPK14, and CSF1R) and DAA (i.e., NFKB1, FOS, and JUN) that are significantly enriched …