Devin C. Koestler

Brca1 heterozygosity leads to hepatic steatosis in male and female mice despite sexually dimorphic effects on systemic metabolism

This study shows that Brca1 heterozygosity causes hepatic steatosis in both male and female mice on a high-fat diet, despite sex differences in systemic metabolic outcomes.

Cellular stemness identifies high-risk ductal carcinoma in situ and offers a therapeutic interception opportunity

This study identifies stemness features in luminal hormone-responsive cells within DCIS that correlate with invasive progression and shows that targeting FOXA1 reduces tumor growth.

Inferring absolute counts from proportions by constraining multivariate normal distributions

This paper introduces MCI, a method to estimate absolute counts from proportional data using multivariate normal distributions, and demonstrates its effectiveness on white blood cell counts and single-cell mRNA data.

Proton FLASH Exposure Preserves Gut Commensal Microbiomes and Spares Intestinal Stem Cells

This study shows proton FLASH irradiation preserves gut microbiota and protects intestinal stem cells in mice, with specific microbial taxa linked to reduced radiation toxicity.

Reduced Liver Mitochondrial Energy Metabolism Impairs Food Intake Regulation Following Gastric Preloads and Fasting

Transcriptomic Gene Network Profiling and Weak Signal Detection for Prediction of Ovarian Cancer Occurrence, Survival, and Severity by Integrating Bulk and Single-cell RNAseq Data

The paper integrates bulk and single-cell RNAseq data to identify predictive gene networks and weak genes for ovarian cancer occurrence, survival, and clinical stage using netLDA, improving prediction performance.

Enhanced cell deconvolution of peripheral blood using DNA methylation for high-resolution immune profiling

The paper enhances cell deconvolution of peripheral blood using DNA methylation to provide high-resolution immune profiling by including 12 leukocyte subtypes and validated libraries.

Variation in Placental microRNA Expression Associates with Familial Cardiovascular Disease

The paper identifies microRNAs in placental tissue associated with familial cardiovascular disease using RNA sequencing and statistical modeling.

Placental microRNA Expression Associates with Birthweight through Control of Adipokines: Results from Two Independent Cohorts

The paper identifies miR-532 as a microRNA associated with birthweight percentile through regulation of adipokines in two independent cohorts.

Equivalent Change Enrichment Analysis: Assessing Equivalent and Inverse Change in Biological Pathways between Diverse Experiments

The paper introduces a statistical method to assess equivalent and inverse changes in biological pathways across different experiments, showing it provides robust results compared to ad hoc approaches.

Systematic evaluation and validation of reference and library selection methods for deconvolution of cord blood DNA methylation data

The paper evaluates and validates reference and library selection methods for deconvolving cord blood DNA methylation data, finding that the IDOL library outperforms automatic selection methods.

Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach

This study uses a crowdsourcing approach to stratify ALS patients, identifying four distinct clusters with unique predictors and improving outcome prediction.

Differences in DNA methylation of white blood cell types at birth and in adulthood reflect postnatal immune maturation and influence accuracy of cell type prediction

The paper examines DNA methylation differences in white blood cell types between newborn and adult blood, showing how these changes reflect immune maturation and affect cell type prediction accuracy.

A community-based collaboration to build prediction models for short-term discontinuation of docetaxel in metastatic castration-resistant prostate cancer

This paper presents a crowdsourced challenge to predict early discontinuation of docetaxel in mCRPC patients using clinical data from multiple trials, finding that ensemble models outperform individual models.

Correcting For Cell-Type Heterogeneity In Epigenome-Wide Association Studies: Premature Analyses And Conclusions

This paper critiques a study claiming ReFACTor improves EWAS by correcting cell-type heterogeneity, finding its claims lack rigorous statistical support.