Biology subjects

Osborne, K.

Publications and source records attributed to Osborne, K..

4 recordsLinked to original sources

bioRxiv2023

Sub-Concussive Head Impacts From Heading Footballs Do Not Acutely Alter Brain Excitability As Compared to a Control Group

BackgroundRepeated sub-concussive head impacts are a growing brain health concern, but the possible mechanisms of trauma and plausible biomarkers remain elusive. One impediment is the lack of an experimental model to study the effects of sub-concussive head impacts on the brain. ObjectivesThis works objective was to provide an experimental model to study the acute effects of sub-concussive head impacts on the brain. To do so, this study aimed to replicate previous work from Di Virgilio et al. (2016) showing that head impacts from heading footballs acutely alter brain excitability by increasing corticomotor inhibition. MethodsScores from the Rivermead Post-Concussion Questionnaire and measurements of cortical silent period (CSP) duration - obtained using transcranial magnetic stimulation to assess corticomotor inhibition in the central nervous system - were taken before and after participants performed 20 football headings (Headings; n = 30) or control (Control; n = 30). ResultsThe results revealed increased headaches and dizziness symptoms in the Headings as compared to the Control group, revealing the qualitative experience of head impacts. The results then revealed that CSP duration similarly lengthened in both the Headings and Control groups, suggesting that head impacts did not cause the increased corticomotor inhibition. ConclusionsThe results show that head impacts from football headings did not acutely alter corticomotor inhibition as compared to a control group that did not experience head impacts, suggesting that excitability changes do not reflect acute sub-concussive brain injuries. Nonetheless, this work suggests that football headings can be used as an experimental model to study the effects of sub-concussive head impacts on brain health. Future work could use the present procedures to investigate additional biomarkers of brain injury.

neuroscience↗

bioRxiv2023

Cis-regulatory control of transcriptional timing and noise in response to estrogen

Cis-regulatory elements control transcription levels, temporal dynamics, and cell-cell variation or transcriptional noise. However, the combination of regulatory features that control these different attributes is not fully understood. Here, we used single cell RNA-seq during an estrogen treatment time course and machine learning to identify predictors of expression timing and noise. We find that genes with multiple active enhancers exhibit faster temporal responses. We verified this finding by showing that manipulation of enhancer activity changes the temporal response of estrogen target genes. Analysis of transcriptional noise uncovered a relationship between promoter and enhancer activity, with active promoters associated with low noise and active enhancers linked to high noise. Finally, we observed that co-expression across single cells is an emergent property associated with chromatin looping, timing, and noise. Overall, our results indicate a fundamental tradeoff between a genes ability to quickly respond to incoming signals and maintain low variation across cells.

genomics↗

bioRxiv2021

Dehalobium species implicated in 2,3,7,8-tetrachloro-p-dioxin dechlorination in the contaminated sediments of Sydney Harbour Estuary

Polychlorinated dibenzo-p-dioxins and furans (PCDD/F) are some of the most environmentally recalcitrant and toxic compounds. They are naturally occurring and by-products of anthropogenic activity. Sydney Harbour Estuary (Sydney, Australia), is heavily contaminated with PCDD/F. Analysis of sediment cores revealed that the contamination source in Homebush Bay continues to have one of the highest levels of PCDD/F contamination in the world (5207 pg WHO-TEQ g-1) with >50% of the toxicity attributed to 2,3,7,8-tetrachlorodibenzo-p-dioxin (2,3,7,8-TCDD) the most toxic and concerning of the PCDD/F congeners. Comparison of congener profiles at the contamination source with surrounding bays and historical data provided evidence for the attenuation of 2,3,7,8-TCDD and other congeners at the source. This finding was supported by the detection of di-, mono- and unchlorinated dibenzo-p-dioxin. Microbial community analysis of sediments by 16S amplicon sequencing revealed an abundance of lineages from the class Dehalococcoidia (up to 15% of the community), including the genus Dehalobium (up to 0.5%). Anaerobic seawater enrichment cultures using perchloroethene as a more amenable growth substrate enriched only the Dehalobium population by more than six-fold. The enrichment culture then proved capable of reductively dechlorinating 2,3,7,8-TCDD to 2,3,7-TCDD and octachlorodibenzo-p-dibenzodioxin to hepta and hexa congeners. This work is the first to show microbial reductive dehalogenation of 2,3,7,8-TCDD with a bacterium from outside the Dehalococcoides genus, and one of only a few that demonstrates PCDD/F degradation in a marine environment.

microbiology↗

bioRxiv2021

A Network Approach to Identify Biomarkers of Differential Chemotherapy Response Using Patient-Derived Xenografts of Triple-Negative Breast Cancer

Triple negative breast cancer (TNBC) is a highly heterogeneous set of diseases that has, until recently, lacked any FDA-approved, molecularly targeted therapeutics. Thus, systemic chemotherapy regimens remain the standard of care for many. Unfortunately, even combination chemotherapy is ineffective for many TNBC patients, and side-effects can be severe or lethal. Identification of predictive biomarkers for chemotherapy response would allow for the prospective selection of responsive patients, thereby maximizing efficacy and minimizing unwanted toxicities. Here, we leverage a cohort of TNBC PDX models with responses to single-agent docetaxel or carboplatin to identify biomarkers predictive for differential response to these two drugs. To demonstrate their ability to function as a preclinical cohort, PDX were molecularly characterized using whole-exome DNA sequencing, RNAseq transcriptomics, and mass spectrometry-based total proteomics to show proteogenomic consistency with TCGA and CPTAC clinical samples. Focusing first on the transcriptome, we describe a network-based computational approach to identify candidate epithelial and stromal biomarkers of response to carboplatin (MSI1, TMSB15A, ARHGDIB, GGT1, SV2A, SEC14L2, SERPINI1, ADAMTS20, DGKQ) and docetaxel (ITGA7, MAGED4, CERS1, ST8SIA2, KIF24, PARPBP). Biomarker panels are predictive in PDX expression datasets (RNAseq and Affymetrix) for both taxane (docetaxel or paclitaxel) and platinum-based (carboplatin or cisplatin) response, thereby demonstrating both cross expression platform and cross drug class robustness. Biomarker panels were also predictive in clinical datasets with response to cisplatin or paclitaxel, thus demonstrating translational potential of PDX-based preclinical trials. This network-based approach is highly adaptable and can be used to evaluate biomarkers of response to other agents.

cancer biology↗