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Brubaker, L.

Publications and source records attributed to Brubaker, L..

2 recordsLinked to original sources

BCM PDX Portal: An Intuitive Web-based Tool for Patient-Derived Xenograft Collection Management, as well as Visual Integration of Clinical and Omics Data

ObjectiveMouse Patient-Derived Xenograft (PDX) models are essential tools for evaluating experimental therapeutics. Baylor College of Medicine (BCM) established a PDX Core to provide technical support and infrastructure for PDX-based research. To manage PDX collections effectively, de-identified patient clinical and omics data, as well as PDX-related information and omics data, must be curated and stored. Data must then be analyzed and visualized for each case. To enhance PDX collection management and data dissemination, the BCM Biomedical Informatics Core created the BCM PDX Portal (https://pdxportal.research.bcm.edu/). Materials and MethodsPatient clinical data are abstracted from medical records for each PDX and stored in a central database. Annotations are reviewed by a clinician and de-identified. PDX development method and biomarker expression are annotated. DNAseq, RNAseq, and proteomics data are processed through standardized pipelines and stored. PDX gene expression (mRNA/protein), copy number alterations, and mutations can be searched in combination with clinical markers to identify models potentially useful as a PDX cohort. ResultsPDX collection management and PDX selection of models for drug evaluation are facilitated using the PDX Portal. DiscussionTo improve the translational effectiveness of PDX models, it is beneficial to use a tool that captures and displays multiple features of the patient clinical and molecular data. Selection of models for studies should be representative of the patient cohort from which they originated. ConclusionThe BCM PDX Portal is a highly effective PDX collection management tool allowing data access in a visual, intuitive manner thereby enhancing the utility of PDX collections.

cancer biology↗

Effects of Variation in Urine Sample Storage Conditions on 16S Urogenital Microbiome Analyses

Replicability is a well-established challenge in microbiome research with a variety of contributing factors at all stages, from sample collection to code execution. Here, we focus on voided urine sample storage conditions for urogenital microbiome analysis. Using urine samples collected from 10 healthy adult women, we investigated the microbiome preservation efficacy of AssayAssure(R) Genelock (as opposed to no preservative) under different temperature conditions. We varied temperature over 48 hours in order to examine the impact of conditions samples may experience with home voided urine collection and shipping to a central biorepository. The following common lab and shipping conditions were investigated: -20C, ambient temperature, 4C, a freeze-thaw cycle, and a heat cycle. At 48 hours, all samples were stored at -80C until processing. After generating 16S rRNA gene amplicon sequencing data using the highly sensitive KatharoSeq protocol, we observed individual variation in both alpha and beta diversity metrics below interhuman differences, corroborating reports of individual microbiome variability in other specimen types. While there was no significant difference in beta diversity when comparing AssayAssure(R) Genelock vs. no preservative, we did observe a higher concordance with AssayAssure samples shipped at colder temperatures (-20C and 4C) when compared to the samples shipped at -20C without preservative. Our results indicate that AssayAssure does not introduce a significant amount of microbial bias when used on a range of temperatures but is most effective at colder temperatures. ImportanceThe urogenital microbiome is an understudied yet important human microbiome niche. Research has been stimulated by the relatively recent discovery that urine is not sterile: urinary tract microbes have been linked to health problems including urinary infections, incontinence, and cancer. The quality of life and economic impact of UTIs and urgency incontinence alone are enormous, with $3.5 billion and $82.6 billion respectively spent in the U.S. annually. Given the low biomass of urine, novelty of the field, and well-established replicability bias in microbiome studies, it is critical to study storage conditions on urine samples to minimize microbial biases. Efficient and reliable preservation methods permit home self-sample collection and shipping, increasing the accessibility of larger-scale studies. Here, we examined both buffer and temperature variation effects on 16S rRNA gene amplicon sequencing results from urogenital samples, providing data on the consequences of common storage methods on urogenital microbiome results.

microbiology↗