Bioinformatics Commons^™

Adrenocortical Attunement, Reactivity, And Potential Genetic Correlates Among Parent-Daughter Dyads From Low-Income Families, Jennifer Byrd-Craven, Michael M. Criss, Jessica L. Calvi, Lixian Cui, Amanda Baraldi, Amanda Sheffield Morris

Athletic Performance Research

Examining the multitude of influences on the development of adolescent stress responses, especially among low-income families, is a critical and understudied topic in the field. The current study examined cortisol attunement between adolescent girls and parents (mostly mothers) from predominantly low-income, single parent, ethnic minority families before and after an in-laboratory disagreement discussion task. The sample consisted of 118 adolescents (M_age = 13.79 years, 76.3% ethnic minorities, 23.7% European Americans) and primary caregivers (M_age = 40.62 years; Mdn yearly income = $24,000; 43.2% single parents; 50% living below poverty line). We investigated oxytocin receptor (OXTR rs53576) …

Untargeted Lipidomics Of Non-Small Cell Lung Carcinoma Demonstrates Differentially Abundant Lipid Classes In Cancer Vs. Non-Cancer Tissue, Joshua M. Mitchell, Robert M. Flight, Hunter N. B. Moseley

Molecular and Cellular Biochemistry Faculty Publications

Lung cancer remains the leading cause of cancer death worldwide and non-small cell lung carcinoma (NSCLC) represents 85% of newly diagnosed lung cancers. In this study, we utilized our untargeted assignment tool Small Molecule Isotope Resolved Formula Enumerator (SMIRFE) and ultra-high-resolution Fourier transform mass spectrometry to examine lipid profile differences between paired cancerous and non-cancerous lung tissue samples from 86 patients with suspected stage I or IIA primary NSCLC. Correlation and co-occurrence analysis revealed significant lipid profile differences between cancer and non-cancer samples. Further analysis of machine-learned lipid categories for the differentially abundant molecular formulas identified a high abundance sterol, …

Improved Radiation Expression Profiling In Blood By Sequential Application Of Sensitive And Specific Gene Signatures, Eliseos J. Mucaki, Ben C. Shirley, Peter K. Rogan

Biochemistry Publications

Purpose. Combinations of expressed genes can discriminate radiation-exposed from normal control blood samples by machine learning based signatures (with 8 to 20% misclassification rates). These signatures can quantify therapeutically-relevant as well as accidental radiation exposures. The prodromal symptoms of Acute Radiation Syndrome (ARS) overlap those present in Influenza and Dengue Fever infections. Surprisingly, these human radiation signatures misclassified gene expression profiles of virally infected samples as false positive exposures. The present study investigates these and other confounders, and then mitigates their impact on signature accuracy.

Methods. This study investigated recall by previous and novel radiation signatures independently derived …

Determining The Primary Dna Substrates Of Shld2'S Ob-Fold Domains, Hari Patchigolla

Holster Scholar Projects

Failure to repair DNA double-stranded breaks leads to cell death. Radiation therapy is commonly used to kill cancer cells by inducing these breaks. However resistance to radiation therapy, due to a hyperactive DNA double-stranded break repair pathway, is a common occurrence that makes cancer patients more prone to relapse. The Shieldin complex is shown to promote DNA-double stranded break repair by binding to DNA at sites of damage. Thus, the objective of this project is to understand the affinity and type of DNA that Shieldin binds to, through gel-shift assays, for the eventual creation of an inhibitor for this protein …

Hierarchical Harmonization Of Atom-Resolved Metabolic Reactions Across Metabolic Databases, Huan Jin, Hunter N. B. Moseley

Molecular and Cellular Biochemistry Faculty Publications

Metabolic models have been proven to be useful tools in system biology and have been successfully applied to various research fields in a wide range of organisms. A relatively complete metabolic network is a prerequisite for deriving reliable metabolic models. The first step in constructing metabolic network is to harmonize compounds and reactions across different metabolic databases. However, effectively integrating data from various sources still remains a big challenge. Incomplete and inconsistent atomistic details in compound representations across databases is a very important limiting factor. Here, we optimized a subgraph isomorphism detection algorithm to validate generic compound pairs. Moreover, we …

Functional Coordination Of Bet Family Proteins Underlies Altered Transcription Associated With Memory Impairment In Fragile X Syndrome, Seung Kyoon Kim, Xihui Liu, Jongmin Park, Dahun Um, Gokhul Kilaru, Cheng Ming Chiang, Mingon Kang, Kimberly M. Huber, Keunsoo Kang, Tae Kyung Kim

Computer Science Faculty Research

Bromodomain and extraterminal proteins (BET) are epigenetic readers that play critical roles in gene regulation. Pharmacologic inhibition of the bromodomain present in all BET family members is a promising therapeutic strategy for various diseases, but its impact on individual family members has not been well understood. Using a transcriptional induction paradigm in neurons, we have systematically demonstrated that three major BET family proteins (BRD2/3/4) participated in transcription with different recruitment kinetics, interdependency, and sensitivity to a bromodomain inhibitor, JQ1. In a mouse model of fragile X syndrome (FXS), BRD2/3 and BRD4 showed oppositely altered expression and chromatin binding, correlating with …

Identifying The Cell Composition And Clonal Diversity Of Supratentorial Ependymoma Using Single Cell Rna-Sequencing, James He

Honors Scholar Theses

Ependymoma is a primary solid tumor of the central nervous system. Supratentorial ependymoma (ST-EPN), a subtype of ependymomas, is driven by an oncogenic fusion between the ZFTA and RELA genes in 70% of cases. We introduced this fusion into neural progenitor cells of mice embryos via in utero electroporation of a non-viral binary piggyBac transposon system containing ZFTA-RELA. From preliminary data in the LoTurco lab, inducing the expression of ZFTA-RELA into different neural progenitor cells produces tumors of varying lethality and cellular composition. To define the cellular composition and subclonal diversity of ST-EPN tumors, we used single cell RNA-sequencing …

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 …

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 …

Structure Based Prediction Of A Novel Gpr120 Antagonist Based On Pharmacophore Screening And Molecular Dynamics Simulations, Ajay Pal Mr, James Curtin, Gemma K. Kinsella

Articles

The G-protein coupled receptor, GPR120, has ubiquitous expression and multifaceted roles in modulating metabolic and anti-inflammatory processes. Recent implications of its role in cancer progression have presented GPR120 as an attractive oncogenic drug target. GPR120 gene knockdown in breast cancer studies revealed a role of GPR120-induced chemoresistance in epirubicin and cisplatin-induced DNA damage in tumour cells. Higher expression and activation levels of GPR120 is also reported to promote tumour angiogenesis and cell migration in colorectal cancer. Some agonists targeting GPR120 have been reported, such as TUG891 and Compound39, but to date development of small-molecule inhibitors of GPR120 is limited. …