Symphony Orchestra, Student Concerto and Compostition Winners Concert

Kennesaw State University School of Music presents the Student Concerto and Composition Winners Concert with the Symphony Orchestra.https://digitalcommons.kennesaw.edu/musicprograms/1360/thumbnail.jp

Myometrial transcriptional signatures of human parturition

The process of parturition involves the transformation of the quiescent myometrium (uterine smooth muscle) to the highly contractile laboring state. This is thought to be driven by changes in gene expression in myometrial cells. Despite the existence of multiple myometrial gene expression studies, the transcriptional programs that initiate labor are not known. Here, we integrated three transcriptome datasets, one novel (NCBI Gene Expression Ominibus: GSE80172) and two existing, to characterize the gene expression changes in myometrium associated with the onset of labor at term. Computational analyses including classification, singular value decomposition, pathway enrichment, and network inference were applied to individual and combined datasets. Outcomes across studies were integrated with multiple protein and pathway databases to build a myometrial parturition signaling network. A high-confidence (significant across all studies) set of 126 labor genes were identified and machine learning models exhibited high reproducibility between studies. Labor signatures included both known (interleukins, cytokines) and unknown (apoptosis, , cell proliferation/differentiation) pathways while cyclic AMP signaling and muscle relaxation were associated with non-labor. These signatures accurately classified and characterized the stages of labor. The data-derived parturition signaling networks provide new genes/signaling interactions to understand phenotype-specific processes and aid in future studies of parturition

Developing a Predictive Model for Chemical Excretion in Urine

Presentation to ISES on September 25-29, 2022 Search for CCTE records in EPA’s Science Inventory by typing in the title at this link. https://cfpub.epa.gov/si/si_public_search_results.cfm?advSearch=true&showCriteria=2&keyword=CCTE&TIMSType=&TIMSSubTypeID=&epaNumber=&ombCat=Any&dateBeginPublishedPresented=07/01/2017&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&DEID=&personName=&personID=&role=Any&journalName=&journalID=&publisherName=&publisherID=&sortBy=pubDate&count=25 </p

Structural Basis of Pan-Ebolavirus Neutralization by an Antibody Targeting the Glycoprotein Fusion Loop

Summary: Monoclonal antibodies (mAbs) with pan-ebolavirus cross-reactivity are highly desirable, but development of such mAbs is limited by a lack of a molecular understanding of cross-reactive epitopes. The antibody ADI-15878 was previously identified from a human survivor of Ebola virus Makona variant (EBOV/Mak) infection. This mAb demonstrated potent neutralizing activity against all known ebolaviruses and provided protection in rodent and ferret models against three ebolavirus species. Here, we describe the unliganded crystal structure of ADI-15878 as well as the cryo-EM structures of ADI-15878 in complex with the EBOV/Mak and Bundibugyo virus (BDBV) glycoproteins (GPs). ADI-15878 binds through an induced-fit mechanism by targeting highly conserved residues in the internal fusion loop (IFL), bridging across GP protomers via the heptad repeat 1 (HR1) region. Our structures provide a more complete description of the ebolavirus immunogenic landscape, as well as a molecular basis for how rare but potent antibodies target conserved filoviral fusion machinery. : The threat of another major filoviral outbreaks looms, underlined by the current lack of approved vaccines or therapeutics. Murin et al. describe the molecular nature of neutralization by the human survivor pan-ebolavirus antibody ADI-15878. Their structures collectively provide a blueprint that can aid in the development of more potent pan-ebolavirus therapeutics. Keywords: Ebola virus, Bundibugyo virus, pan-filoviral, filovirus, antibody, glycoprotei

Developing Chemical Signatures for Categories of Household Consumer Products Using Suspect Screening Analysis

Poster for SOT on March 10-14, 2024 in Salt Lake City, UtahScience Inventory, CCTE products: https://cfpub.epa.gov/si/si_public_search_results.cfm?advSearch=true&showCriteria=2&keyword=CCTE&TIMSType=&TIMSSubTypeID=&epaNumber=&ombCat=Any&dateBeginPublishedPresented=07/01/2017&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&DEID=&personName=&personID=&role=Any&journalName=&journalID=&publisherName=&publisherID=&sortBy=pubDate&count=25</p

Labour classified by cervical dilatation &amp; fetal membrane rupture demonstrates differential impact on RNA-seq data for human myometrium tissues

High throughput sequencing has previously identified differentially expressed genes (DEGs) and enriched signalling networks in human myometrium for term (≥37 weeks) gestation labour, when defined as a singular state of activity at comparison to the non-labouring state. However, transcriptome changes that occur during transition from early to established labour (defined as ≤3 and >3 cm cervical dilatation, respectively) and potentially altered by fetal membrane rupture (ROM), when adapting from onset to completion of childbirth, remained to be defined. In the present study, we assessed whether differences for these two clinically observable factors of labour are associated with different myometrial transcriptome profiles. Analysis of our tissue (‘bulk’) RNA-seq data (NCBI Gene Expression Omnibus: GSE80172) with classification of labour into four groups, each compared to the same non-labour group, identified more DEGs for early than established labour; ROM was the strongest up-regulator of DEGs. We propose that lower DEGs frequency for early labour and/or ROM negative myometrium was attributed to bulk RNA-seq limitations associated with tissue heterogeneity, as well as the possibility that processes other than gene transcription are of more importance at labour onset. Integrative analysis with future data from additional samples, which have at least equivalent refined clinical classification for labour status, and alternative omics approaches will help to explain what truly contributes to transcriptomic changes that are critical for labour onset. Lastly, we identified five DEGs common to all labour groupings; two of which (AREG and PER3) were validated by qPCR and not differentially expressed in placenta and choriodecidua