A Tissue Specific Transcriptomic, Proteomic And Phospho-Proteomic Atlas Of The Translational Machinery Of Arabidopsis Thaliana, 2021 University of Tennessee, Knoxville
A Tissue Specific Transcriptomic, Proteomic And Phospho-Proteomic Atlas Of The Translational Machinery Of Arabidopsis Thaliana, Abdullah Salim
EURēCA: Exhibition of Undergraduate Research and Creative Achievement
Gene expression encompasses the flow of genetic information from DNA to mRNA (transcription) and from mRNA to protein (translation) along with the regulatory mechanisms underlying these processes. Omics technologies offer a powerful toolset with which to study gene expression at each of these stages. A recently published dataset integrating transcriptomic, proteomic and phospho-proteomic measurements from 30 Arabidopsis thaliana tissues provides a unique resource to explore gene expression.1 The translational machinery (the ribosome, and its initiation, elongation, and termination factors) are a core component in gene expression. Defects in translation can be lethal or lead to major developmental defects and ...
Understanding The Effect Of Adaptive Mutations On The Three-Dimensional Structure Of Rna, 2021 Duquesne University
Understanding The Effect Of Adaptive Mutations On The Three-Dimensional Structure Of Rna, Justin Cook
Undergraduate Research and Scholarship Symposium
Single-nucleotide polymorphisms (SNPs) are variations in the genome where one base pair can differ between individuals.1 SNPs occur throughout the genome and can correlate to a disease-state if they occur in a functional region of DNA.1According to the central dogma of molecular biology, any variation in the DNA sequence will have a direct effect on the RNA sequence and will potentially alter the identity or conformation of a protein product. A single RNA molecule, due to intramolecular base pairing, can acquire a plethora of 3-D conformations that are described by its structural ensemble. One SNP, rs12477830, which ...
Trunctrimmer: A First Step Towards Automating Standard Bioinformatic Analysis, 2021 University of Arkansas, Fayetteville
Trunctrimmer: A First Step Towards Automating Standard Bioinformatic Analysis, Z. Gunner Lawless, Dana Dittoe, Dale R. Thompson, Steven C. Ricke
Computer Science and Computer Engineering Undergraduate Honors Theses
Bioinformatic analysis is a time-consuming process for labs performing research on various microbiomes. Researchers use tools like Qiime2 to help standardize the bioinformatic analysis methods, but even large, extensible platforms like Qiime2 have drawbacks due to the attention required by researchers. In this project, we propose to automate additional standard lab bioinformatic procedures by eliminating the existing manual process of determining the trim and truncate locations for paired end 2 sequences. We introduce a new Qiime2 plugin called TruncTrimmer to automate the process that usually requires the researcher to make a decision on where to trim and truncate manually after ...
Investigating The Relationship Between Power Plant Type And Regional Climate, 2021 Illinois Mathematics and Science Academy
Investigating The Relationship Between Power Plant Type And Regional Climate, Christian Cline '23, Sarah Wheeler '23, Sanjana Nekkanti '23
Student Leadership Exchange (SLX)
Climate change (UNSDG Goal 13) is one of the most pressing issues of our lifetime. Though recent years have given the world hope for the Earth’s future, we still rely on fossil fuels to produce a vast majority of our energy. Power plants, the “creator” of said energy, are found around the world, everywhere from Afghanistan to Zimbabwe. However, there are multiple types of power plants each of which leave different effects on the environment. At the same time, the world has wildly different climates. The cold winters of Northern Canada could not be more different than the tropical ...
Book Review: Foundations Of Artificial Intelligence In Healthcare And Bioscience, 2021 University of the Incarnate Word
Book Review: Foundations Of Artificial Intelligence In Healthcare And Bioscience, Paul B. Freeman Od
Optometric Clinical Practice
Catania LJ. Foundations of Artificial Intelligence in Healthcare and Bioscience. Cambridge: Academic Press; 2020, $150.00, 524 pages, Paperback ISBN:9780128244777, e-book ISBN: 9780323860055.
Keap1 Is Required For Artesunate Anticancer Activity In Non-Small-Cell Lung Cancer, 2021 University of Kentucky
Keap1 Is Required For Artesunate Anticancer Activity In Non-Small-Cell Lung Cancer, Kristen S. Hill, Anthony Mcdowell Jr., J. Robert Mccorkle, Erin Schuler, Sally R. Ellingson, Rina Plattner, Jill M. Kolesar
Pathology and Laboratory Medicine Faculty Publications
Artesunate is the most common treatment for malaria throughout the world. Artesunate has anticancer activity likely through the induction of reactive oxygen species, the same mechanism of action utilized in Plasmodium falciparum infections. Components of the kelch-like ECH-associated protein 1 (KEAP1)/nuclear factor erythroid 2-related factor 2 (NRF2) pathway, which regulates cellular response to oxidative stress, are mutated in approximately 30% of non-small-cell lung cancers (NSCLC); therefore, we tested the hypothesis that KEAP1 is required for artesunate sensitivity in NSCLC. Dose response assays identified A549 cells, which have a G333C-inactivating mutation in KEAP1, as resistant to artesunate, with an IC50 ...
B32: Identifying New G Protein Coupled Receptor Kinase 6 Substrates Among Proteins Closely Linked To Prognoses Of Liver Cancer, 2021 Roseman University of Health Sciences
B32: Identifying New G Protein Coupled Receptor Kinase 6 Substrates Among Proteins Closely Linked To Prognoses Of Liver Cancer, Rav Jericho Uy
Annual Research Symposium
No abstract provided.
Toward The Discovery Of Biological Functions Associated With The Mechanosensor Mtl1p Of Saccharomyces Cerevisiae Via Integrative Multi-Omics Analysis, Nelson Martínez-Matías, Nataliya Chorna, Sahily González-Crespo, Lilliam Villanueva, Ingrid Montes-Rodríguez, Loyda M. Melendez-Aponte, Abiel Roche-Lima, Kelvin Carrasquillo-Carrión, Ednalise Santiago-Cartagena, Brian C. Rymond, Mohan Babu, Igor Stagljar, José R. Rodríguez-Medina
Biology Faculty Publications
Functional analysis of the Mtl1 protein in Saccharomyces cerevisiae has revealed that this transmembrane sensor endows yeast cells with resistance to oxidative stress through a signaling mechanism called the cell wall integrity pathway (CWI). We observed upregulation of multiple heat shock proteins (HSPs), proteins associated with the formation of stress granules, and the phosphatase subunit of trehalose 6-phosphate synthase which suggests that mtl1Δ strains undergo intrinsic activation of a non-lethal heat stress response. Furthermore, quantitative global proteomic analysis conducted on TMT-labeled proteins combined with metabolome analysis revealed that mtl1Δ strains exhibit decreased levels of metabolites of carboxylic acid metabolism, decreased ...
Biological Activity And Solubility Of 5-Methoxy-1,4-Benzoquinone Having Bromoheptyl And Bromodecyl Substituents In The N-Octanol/Water System, 2021 Chemistry Department, Faculty of Science, Universitas Brawijaya, Malang 65145, Indonesia
Biological Activity And Solubility Of 5-Methoxy-1,4-Benzoquinone Having Bromoheptyl And Bromodecyl Substituents In The N-Octanol/Water System, Siti Mariyah Ulfa, Fath Dwisari, Laras Pangesti, Mohammad Farid Rahman
Makara Journal of Science
The biological activity and solubility of compounds are influenced by its chemical structure. These properties can be improved by substituting alkyl, alkoxy, and/or haloalkane in the parent skeleton. In this research, the synthesis of 3-(7-bromoheptyl)-2-methyl-5-methoxy-1,4-benzoquinone (3a) and 3-(10-bromodecyl)-2-methyl-5-methoxy-1,4-benzoquinone (3b) was achieved through the decarboxylation reaction. The solubility and biological activity of 3a and 3b were compared with that of thymoquinone (TQ), which acts as an anti-inflammatory agent. Compounds 3a and 3b were successfully synthesized and analyzed using Fourier Transform Infra-Red (FTIR) and Nuclear Magnetic Resonance (NMR). The FTIR spectrum showed the increasing intensity ...
A Comparison Of Intertidal Metazoan Biodiversity Between Previously Oiled Sheared And Intact Marsh Margins And Between Multiple Salinity Zones In The Coastal Marshes Of Louisiana, 2021 Louisiana State University and Agricultural and Mechanical College
A Comparison Of Intertidal Metazoan Biodiversity Between Previously Oiled Sheared And Intact Marsh Margins And Between Multiple Salinity Zones In The Coastal Marshes Of Louisiana, Patrick M. Rayle
LSU Master's Theses
Marshes in Louisiana are under threat from numerous natural and anthropogenic sources. A consequence of these threats are sheared marsh margins, which result from the impact of storm surge on previously oiled, weakened marsh. These conditions occurred in Louisiana marshes after Hurricane Isaac in 2012 followed the Deepwater Horizon oil spill in 2010, particularly in the shorelines surrounding Bay Jimmy. The second and third chapters of this thesis focus on the differences in biodiversity between the sheared and intact marsh margins in impacted sites in Bay Jimmy. Metabarcoding methods were used to determine community composition of the sediment within marsh ...
The Mwtab Python Library For Restful Access And Enhanced Quality Control, Deposition, And Curation Of The Metabolomics Workbench Data Repository, Christian D. Powell, Hunter N. B. Moseley
Markey Cancer Center Faculty Publications
Deep Active Learning For Classifying Cancer Pathology Reports, 2021 Oak Ridge National Lab
Deep Active Learning For Classifying Cancer Pathology Reports, Kevin De Angeli, Shang Gao, Mohammed Alawad, Hong‑Jun Yoon, Noah Schaeferkoetter, Xiao‑Cheng Wu, Eric B. Durbin, Jennifer Doherty, Antoinette Stroup, Linda Coyle, Lynne Penberthy, Georgia Tourassi
Kentucky Cancer Registry Faculty Publications
Background: Automated text classification has many important applications in the clinical setting; however, obtaining labelled data for training machine learning and deep learning models is often difficult and expensive. Active learning techniques may mitigate this challenge by reducing the amount of labelled data required to effectively train a model. In this study, we analyze the effectiveness of 11 active learning algorithms on classifying subsite and histology from cancer pathology reports using a Convolutional Neural Network as the text classification model.
Results: We compare the performance of each active learning strategy using two differently sized datasets and two different classification tasks ...
Sociality Sculpts Similar Patterns Of Molecular Evolution In Two Independently Evolved Lineages Of Eusocial Bees, Wyatt A. Shell, Michael A. Steffen, Hannah K. Pare, Arun S. Seetharam, Andrew J. Severin, Amy L. Toth, Sandra M. Rehan
Genome Informatics Facility Publications
While it is well known that the genome can affect social behavior, recent models posit that social lifestyles can, in turn, influence genome evolution. Here, we perform the most phylogenetically comprehensive comparative analysis of 16 bee genomes to date: incorporating two published and four new carpenter bee genomes (Apidae: Xylocopinae) for a first-ever genomic comparison with a monophyletic clade containing solitary through advanced eusocial taxa. We find that eusocial lineages have undergone more gene family expansions, feature more signatures of positive selection, and have higher counts of taxonomically restricted genes than solitary and weakly social lineages. Transcriptomic data reveal that ...
Real World Clinicopathologic Observations Of Patients With Metastatic Solid Tumors Receiving Immune Checkpoint Inhibitor Therapy: Analysis From Kentucky Cancer Registry, Aasems Jacob, Jianrong Wu, Jill M. Kolesar, Eric B. Durbin, Aju Mathew, Susanne Arnold, Aman Chauhan
Biostatistics Faculty Publications
The state of Kentucky has the highest cancer incidence and mortality in the United States. High‐risk populations such as this are often underrepresented in clinical trials. The study aims to do a comprehensive analysis of molecular landscape of metastatic cancers among these patients with detailed evaluation of factors affecting response and outcomes to immune checkpoint inhibitor (ICI) therapy. We performed a retrospective analysis of metastatic solid tumor patients who received ICI and underwent molecular profiling at our institution.
Sixty nine patients with metastatic solid tumors who received ICI were included in the study. Prevalence of smoking and secondhand tobacco ...
The Look Ahead Trace Back Optimizer For Genomic Selection Under Transparent And Opaque Simulators, 2021 Iowa State University
The Look Ahead Trace Back Optimizer For Genomic Selection Under Transparent And Opaque Simulators, Fatemeh Amini, Felipe Restrepo Franco, Guiping Hu, Lizhi Wang
Industrial and Manufacturing Systems Engineering Publications
Recent advances in genomic selection (GS) have demonstrated the importance of not only the accuracy of genomic prediction but also the intelligence of selection strategies. The look ahead selection algorithm, for example, has been found to significantly outperform the widely used truncation selection approach in terms of genetic gain, thanks to its strategy of selecting breeding parents that may not necessarily be elite themselves but have the best chance of producing elite progeny in the future. This paper presents the look ahead trace back algorithm as a new variant of the look ahead approach, which introduces several improvements to further ...
Yap And Taz Are Transcriptional Co-Activators Of Ap-1 Proteins And Stat3 During Breast Cellular Transformation [Preprint], Lizhi He, Henry E. Pratt, Fengxiang Wei, Mingshi Gao, Zhiping Weng, Kevin Struhl
University of Massachusetts Medical School Faculty Publications
The YAP and TAZ paralogues are transcriptional co-activators recruited to target sites, primarily by TEAD proteins. Here, we show that YAP and TAZ are also recruited by JUNB and STAT3, key factors that mediate an epigenetic switch linking inflammation to cellular transformation. YAP and TAZ directly interact with JUNB and STAT3 via a WW domain important for transformation, co-occupy many target sites in vivo via AP-1 and (to a lesser extent) STAT3 sequence motifs, and stimulate transcriptional activation by AP-1 proteins. A few target sites are YAP- or TAZ-specific, and they are associated with different sequence motifs and gene classes ...
Machine Intelligence Identifies Soluble Tnfa As A Therapeutic Target For Spinal Cord Injury, 2021 University of California, San Francisco
Machine Intelligence Identifies Soluble Tnfa As A Therapeutic Target For Spinal Cord Injury, J. R. Huie, A. R. Ferguson, N. Kyritsis, J. Z. Pan, K.-A. Irvine, J. L. Nielson, P. G. Schupp, M. C. Oldham, John C. Gensel, A. Lin, M. R. Segal, R. R. Ratan, J. C. Bresnahan, M. S. Beattie
Spinal Cord and Brain Injury Research Center Faculty Publications
Traumatic spinal cord injury (SCI) produces a complex syndrome that is expressed across multiple endpoints ranging from molecular and cellular changes to functional behavioral deficits. Effective therapeutic strategies for CNS injury are therefore likely to manifest multi-factorial effects across a broad range of biological and functional outcome measures. Thus, multivariate analytic approaches are needed to capture the linkage between biological and neurobehavioral outcomes. Injury-induced neuroinflammation (NI) presents a particularly challenging therapeutic target, since NI is involved in both degeneration and repair. Here, we used big-data integration and large-scale analytics to examine a large dataset of preclinical efficacy tests combining five ...
Mining Selected Metagenomes/Metatranscriptomes For Biosynthetic Gene Clusters And Antimicrobial Resistance Genes, 2021 American University in Cairo
Mining Selected Metagenomes/Metatranscriptomes For Biosynthetic Gene Clusters And Antimicrobial Resistance Genes, Ahmed Yamany
Theses and Dissertations
Antimicrobial resistance is one of the serious global challenges in the current century. The fact that resistance genes transfer between bacteria, coupled with the fact that the world is connected through complex dynamics. Studying microbial behavior and understanding the different factors coffering microbial resistance to a broad spectrum of the available drug classes, parallel with a comprehensive analysis of the natural microbial products as the primary source of the novel antibiotics, might shed some light on solutions for this problem. Microbial environments harbor a wide range of secondary metabolites (SM) with different functional groups. SMs are not directly involved in ...
A Benchmark And An Algorithm For Detecting Germline Transposon Insertions And Measuring De Novo Transposon Insertion Frequencies, Tianxiong Yu, Xiao Huang, Shengqian Dou, Xiaolu Tang, Shiqi Luo, William E. Theurkauf, Jian Lu, Zhiping Weng
University of Massachusetts Medical School Faculty Publications
Transposons are genomic parasites, and their new insertions can cause instability and spur the evolution of their host genomes. Rapid accumulation of short-read whole-genome sequencing data provides a great opportunity for studying new transposon insertions and their impacts on the host genome. Although many algorithms are available for detecting transposon insertions, the task remains challenging and existing tools are not designed for identifying de novo insertions. Here, we present a new benchmark fly dataset based on PacBio long-read sequencing and a new method TEMP2 for detecting germline insertions and measuring de novo 'singleton' insertion frequencies in eukaryotic genomes. TEMP2 achieves ...
Pfred: A Computational Platform For Sirna And Antisense Oligonucleotides Design, Simone Sciabola, Hualin Xi, Dario Cruz, Qing Cao, Christine Lawrence, Tianhong Zhang, Sergio Rotstein, Jason D. Hughes, Daniel R. Caffrey, Robert V. Stanton
Open Access Publications by UMMS Authors
PFRED a software application for the design, analysis, and visualization of antisense oligonucleotides and siRNA is described. The software provides an intuitive user-interface for scientists to design a library of siRNA or antisense oligonucleotides that target a specific gene of interest. Moreover, the tool facilitates the incorporation of various design criteria that have been shown to be important for stability and potency. PFRED has been made available as an open-source project so the code can be easily modified to address the future needs of the oligonucleotide research community. A compiled version is available for downloading at https://github.com/pfred ...