Biology subjects

Wilson, S. L.

Publications and source records attributed to Wilson, S. L..

9 recordsLinked to original sources

bioRxiv2026

Placental transcriptomics reveals alterations in metabolic and transport gene programs following prenatal cannabis smoke exposure

Background: Prenatal cannabis use is increasing, yet the effects of inhaled cannabis smoke on placental molecular function remain poorly defined. Objective: To characterize placental transcriptomic alterations following prenatal cannabis smoke exposure using a physiologically relevant murine inhalation model. Methods: Timed-pregnant CD-1 mice were exposed to cannabis cigarette smoke or room air from embryonic day (E)6.5 to 18.5. Placentae were collected at E18.5 for microarray-based transcriptomic profiling. Differential gene expression was assessed using fetal sex adjusted linear models and false discovery rate correction. Gene set variation and ranked pathway enrichment were performed to evaluate compartment-associated and biological transcriptional programs. Selected genes were validated by quantitative PCR. Results: Large-scale transcriptomic profiles revealed no clear visual clustering by exposure; however, 23 genes were differentially expressed (FDR <0.05, |log2 fold change| > 0.5). Labyrinth-associated transcriptional signatures were reduced, whereas junctional-associated signatures were increased in exposed placentae. Pathway analyses revealed negative enrichment of fatty acid metabolism, bioenergetic, and transmembrane transport pathways, alongside positive enrichment of RNA processing and transcriptional-regulatory pathways. Quantitative PCR confirmed altered expression of multiple transport-related genes. Electron transport chain-associated gene expression was altered despite preserved placental respiratory measurements. Conclusions: Prenatal cannabis smoke exposure is associated with subtle yet coordinated placental transcriptional alterations involving metabolic, transport-associated, and gene-regulatory pathways, alongside compartment-associated transcriptional shifts. These findings provide insight into placental responses to whole cannabis smoke exposure and identify pathways that may contribute to altered placental function during pregnancy.

physiology↗

bioRxiv2026

"Transcriptional and isoform-level regulation of lipid-candidate genes in preeclamptic placentas"

Preeclampsia (PE) is a hypertensive pregnancy-specific disorder and a leading cause of maternal and fetal mortality. A common feature of PE placentas and maternal plasma is dyslipidemia, or abnormal lipid levels, which can increase oxidative stress and endothelial dysfunction. However, the precise transcriptional, post-transcriptional, and epigenetic mechanisms underlying these abnormalities remain poorly characterized. Identifying such changes may clarify disease mechanisms and identify lipid-related PE biomarkers. We conducted a large-scale meta-analysis integrating public placental datasets from NCBI GEO, comprising four DNA methylation (DNAm) datasets (n = 172), three RNA-sequencing datasets (n = 92), and an independent RNA microarray validation cohort (n =146). We evaluated differential DNAm (limma), gene expression (DESeq2), transcript-level shifts (Swish), and alternative splicing (rMATS) in PE versus control placentas, with all analyses stratified by fetal sex via an interaction term model. We also performed placental cell-type deconvolution to quantify PE-associated cell-type proportion changes. Our results demonstrated that lipid-related regulation changes in PE placentas occur primarily at the gene and transcript level, with DNAm showing no changes. We also identified significant isoform switching in PE that were undetected by differential gene expression analysis, and primarily driven by alternative transcription initiation and termination sites rather than alternative splicing. A subset of these isoform switches mapped to pathways dysregulated in PE and were predicted to cause functional protein changes. An interaction term model identified several sex-specific differentially expressed genes (DEGs) in PE, including a subset of male-specific downregulated genes involved in oxidative metabolism. However, many of the remaining sex-specific DEGs across both sexes were previously uncharacterized in the literature. These findings suggest that transcriptional and isoform-level regulation play a role in PE-associated dyslipidemia, with certain regulatory pathways displaying fetal sex-specific patterns. Highlights- Preeclampsia-associated dyslipidemia manifests at the gene and transcript level - Reciprocal isoform switches were missed by standard gene-level analyses - Alternative transcript initiation and termination drove isoform switching - Sex-interaction modeling identified sex-specific transcriptional shifts in PE

genomics↗

bioRxiv2026

Enrichment of methylated cell-free placental DNA

Abstract. Introduction: Preterm birth drives adverse perinatal maternal and infant health outcomes through heterogeneous symptoms, severity, and etiologies. Delivery prior to reaching 37 weeks of gestation may result from medically indicated intervention for pregnancy complications or spontaneously in the absence of prior symptoms. Placental tissue collected following preterm birth exhibits differential DNA methylation compared to full-term placentas and may indicate pregnancy health during gestation. Placental DNA currently has limited utility for assessing health of ongoing pregnancy, as sampling placental tissue during gestation increases the risk of infection and miscarriage. Risks associated with placental sampling during pregnancy limit the use of DNA methylation in clinical preterm birth prediction. Assessing preterm birth risk during gestation requires non-invasive methods for characterizing placental DNA methylation. Results: We quantified genome-wide DNA methylation patterns of hypermethylated cell-free DNA in pregnant (n = 99) and non-pregnant (n = 93) plasma using cell-free methylated DNA immunoprecipitation sequencing (cfMeDIP-seq). In each sample, we assessed DNA methylation status in 300-bp genomic windows, examining both sequencing read counts and calculated absolute molar DNA amount. Known hypermethylated placental regions, including RASSF1, STAT5A, and ERG promoters showed significantly increased odds of detection in pregnant samples, suggesting enrichment of cell-free placental DNA. Of the 536,444 300-bp windows examined, 173,071 (32%) showed significant enrichment in pregnant plasma. Linear modeling identified 107,505 differentially methylated regions (DMRs) associated with pregnancies later diagnosed with intrauterine growth restriction (IUGR) (n = 22). Alu elements showed increased representation in these DMRs than expected, while other repetitive elements exhibited underrepresentation. Discussion: These results demonstrate cfMeDIP-seq's ability to enrich for cell-free placental DNA and characterize cell-free DNA methylation signatures of pregnancies complicated by IUGR. Enrichment of cell-free placental DNA enables non-invasive profiling of placental DNA methylation from maternal plasma. Detectable epigenetic signatures in maternal plasma may identify pregnancies at elevated risk for preterm birth before clinical symptoms appear. Our findings further highlight the potential of cell-free placental DNA for monitoring pregnancy health.

genomics↗

bioRxiv2024

Distinct DNA Methylation Signatures in Maternal Blood Reveal Unique Immune Cell Shifts in Preeclampsia and the Pregnancy-Postpartum Transition

1.0Preeclampsia (PE) is a hypertensive disorder of pregnancy characterized by immune dysregulation and significant risks to maternal and fetal health. While current management relies on high-risk patient monitoring and early diagnosis, these methods are costly and burdensome, especially for low-risk pregnancies. There is a pressing need for non-invasive tools to predict and monitor PE. DNA methylation (DNAm) is a type of DNA modification that influences gene expression, and has been associated with immune cell dynamics and PE pathogenesis. This study explores whether DNAm-based immune cell composition profiling can provide insights into PE-related immune dysregulation. We conducted a search in the Gene Expression Omnibus (GEO) for DNA methylation datasets using Illumina 27K, 450K, and EPIC arrays from maternal blood in both healthy and PE pregnancies. We found two studies that met our criteria, involving a total of 24 healthy pregnancies and 14 with PE. To estimate the composition of immune cells (including CD8T, CD4T, Monocytes, Natural Killer, Neutrophils, Eosinophils, and B cells) based on DNA methylation data, we employed the R package EpiDISH. We used a linear model to compare statistical differences in the proportions of immune cells between PE cases and the control group. Longitudinal trends were also examined to capture immune cell shifts from pregnancy to postpartum. We found that monocyte proportions were significantly reduced in preeclamptic pregnancies compared to normotensive pregnancies (p=0.013). No significant differences were observed in other immune cell types, including T cells, B cells, neutrophils, eosinophils, and natural killer cells. Longitudinal analyses revealed substantial immune cell shifts in the postpartum period, including increased monocytes, B cells, CD4+ T cells, and CD8+ T cells, emphasizing the importance of gestational age in immune dynamics. These findings support DNAm profiling as a valuable tool for understanding immune cell dynamics in PE. Reduced monocyte proportions in PE highlight the role of immune dysregulation in its pathogenesis. Longitudinal sampling provides additional insights into the evolution of immune changes throughout pregnancy and postpartum, offering potential for developing predictive and monitoring tools for PE. Future studies with larger, more diverse cohorts are essential to refine the utility of DNAm in pregnancy complications.

genomics↗

bioRxiv2024

Examining Sex-Specific DNA Methylation and Variability Post In Vitro Fertilization

Infertility impacts up to 17.5% of reproductive-aged couples worldwide. To aid in conception, many couples turn to assisted reproductive technology, such as in vitro fertilization (IVF). IVF can introduce both physical and environmental stressors that may alter DNA methylation regulation, an important and dynamic process during early fetal development. This meta-analysis aims to assess the differences in the placental DNA methylome between spontaneous and IVF pregnancies. We identified three studies from NCBI GEO that measured DNA methylation with an Illumina Infinium Microarray in post-delivery placental tissue from both IVF and spontaneous pregnancies with a total of 575 samples for analysis (n = 96 IVF, n = 479 spontaneous). While there were no significant or differentially methylated CpGs in mixed or female stratified populations, we identified 9 CpGs that reached statistical significance (FDR <0.05) between IVF (n = 56) and spontaneous (n = 238) placentae. 7 autosomal CpGs and 1 X chromosome CpG was hypermethylated and 2 autosomal CpGs were hypomethylated in the IVF placentae compared to spontaneous. Autosomal CpGs closest to LIPJ, EEF1A2, and FBRSL1 also met our criteria to be classified as biologically differentially methylated CpGs (FDR <0.05, |{Delta}{beta}|>0.05). When analyzing variability differences in {Delta}{beta} values between IVF females, IVF males, spontaneous females and spontaneous males, we found a significant shift to greater variability in the both IVF males and females compared to spontaneous (p <2.2e-16, p <2.2e-16). Trends of variability were further analyzed in the biologically differentially methylated autosomal CpGs near LIPJ EEF1A2, and FBRSL1, and while these regions were statistically significant in males, the female {Delta}{beta}s and {Delta}CoVs followed a similar trend that differed in magnitude. In males and females there was a statistically significant difference in proportions of endothelial cells, hofbauer cells, stromal cells and syncytiotrophoblasts between spontaneous and in vitro Fertilization (IVF) populations. We also observed significant differences between sex within reproduction type in syncytiotrophoblasts and trophoblasts. The results of this study are critical to further understand the impact of IVF on tissue epigenetics which may help to investigate the connections between IVF and negative pregnancy outcomes. Additionally, our study supports sex specific differences in placental DNA methylation and cell composition should be considered as factors for future placental DNA methylation analyses.

genomics↗

bioRxiv2021

Exogenous pigments shield microorganisms from spaceflight-induced changes

Research has indicated that pigments commonly produced by microorganisms may be protective against the environmental stresses inherent to spaceflight. However, few studies have directly tested the protective capabilities of microbial pigments applied externally as shielding materials. In this study, liquid cultures of Bacillus subtilis were shielded by various pigment solutions, and solid media cultures of Bacillus subtilis were co-inoculated with the highly pigmented microorganisms Aspergillus niger and Neurospora crassa. These experiments were conducted in a compact, automated payload aboard the International Space Station (ISS) interior for 30 days. Post-flight phenotypic analyses of liquid cultures showed that solutions of carotenoid pigments were effective at minimizing detrimental effects of spaceflight. Elevated growth rate was observed for solid cultures, and distinct morphology changes were identified in both liquid and solid samples and quantified as markers of spaceflight-induced stress. These findings collectively progress our understanding of microbial pigments for the development of space-related applications.

microbiology↗

bioRxiv2021

Characterization of methylation signatures in spontaneous preterm birth

Preterm birth is a global public health crisis which results in significant neonatal and maternal mortality. Yet little is known regarding the molecular mechanisms of idiopathic spontaneous preterm birth, and we have few diagnostic markers for adequate assessment of placental development and function. Previous studies of placental pathology and our transcriptomics studies suggest a role for placental maturity in idiopathic spontaneous preterm birth. It is known that placental DNA methylation changes over gestation. We hypothesized that if placental hypermaturity is present in our samples, we would observe a unique idiopathic spontaneous preterm birth DNA methylation profile potentially driving the gene expression differences we previously identified in our placental samples. Our results indicate the idiopathic spontaneous preterm birth DNA methylation pattern mimics the term birth methylation pattern suggesting hypermaturity. Only seven significant differentially methylated regions fitting the idiopathic spontaneous preterm birth specific (relative to the controls) profile were identified, indicating unusually high similarity in DNA methylation between idiopathic spontaneous preterm birth and term birth samples. We identified an additional 1,718 significantly methylated regions in our gestational age matched controls were the idiopathic spontaneous preterm birth DNA methylation pattern mimics the term birth methylation pattern, again indicating a striking level of similarity between the idiopathic spontaneous preterm birth and term birth samples. Pathway analysis of these regions revealed differences in genes within the WNT and Cadherin signaling pathways, both of which are essential in placental development and maturation. Taken together, these data demonstrate that the idiopathic spontaneous preterm birth samples are molecularly more mature than expected given their respective gestational age which likely impacts birth timing.

physiology↗

bioRxiv2021

Sensitive and reproducible cell-free methylome quantification with synthetic spike-in controls

BackgroundCell-free methylated DNA immunoprecipitation-sequencing (cfMeDIP-seq) identifies genomic regions with DNA methylation, using a protocol adapted to work with low-input DNA samples and with cell-free DNA (cfDNA). This method allows for DNA methylation profiling of circulating tumour DNA in cancer patients blood samples. Such epigenetic profiling of circulating tumour DNA provides information about in which tissues tumour DNA originates, a key requirement of any test for early cancer detection. In addition, DNA methylation signatures provide prognostic information and can detect relapse. For robust quantitative comparisons between samples, immunoprecipitation enrichment methods like cfMeDIP-seq require normalization against common reference controls. MethodsTo provide a simple and inexpensive reference for quantitative normalization, we developed a set of synthetic spike-in DNA controls for cfMeDIP-seq. These controls account for technical variation in enrichment efficiency due to biophysical properties of DNA fragments. Specifically, we designed 54 DNA fragments with combinations of methylation status (methylated and unmethylated), fragment length (80 bp, 160 bp, 320 bp), G+C content (35%, 50%, 65%), and fraction of CpG dinucleotides within the fragment (1/80 bp, 1/40 bp, 1/20 bp). We ensured that the spike-in synthetic DNA sequences do not align to the human genome. We integrated unique molecular indices (UMIs) into cfMeDIP-seq to control for differential amplification after enrichment. To assess enrichment bias according to distinct biophysical properties, we conducted cfMeDIP-seq solely on spike-in DNA fragments. To optimize the amount of spike-in DNA required, we added varying quantities of spike-in control DNA to sheared HCT116 colon cancer genomic DNA prior to cfMeDIP-seq. To assess batch effects, three separate labs conducted cfMeDIP-seq on peripheral blood plasma samples from acute myeloid leukemia (AML) patients. ResultsWe show that cfMeDIP-seq enriches for highly methylated regions, capturing [≥] 97% of methylated spike-in control fragments with [≤] 3% non-specific binding and preference for both high G+C content fragments and fragments with more CpGs. The use of 0.01 ng of spike-in control DNA in each sample provided sufficient sequencing reads to adjust for variance due to fragment length, G+C content, and CpG fraction. Using the known amount of each spiked-in fragment, we created a generalized linear model that absolutely quantifies molar amount from read counts across the genome, while adjusting for fragment length, G+C content, and CpG fraction. Employing our spike-in controls greatly mitigates batch effects, reducing batch-associated variance to [≤] 1% of the total variance within the data. DiscussionIncorporation of spike-in controls enables absolute quantification of methylated cfDNA generated from methylated DNA immunoprecipitation-sequencing (MeDIP-seq) experiments. It mitigates batch effects and corrects for biases in enrichment due to known biophysical properties of DNA fragments and other technical biases. We created an R package, spiky, to convert read counts to picomoles of DNA fragments, while adjusting for fragment properties that affect enrichment. The spiky package is available on Bioconductor (https://bioconductor.org/packages/spiky) and GitHub (https://github.com/trichelab/spiky). Contactmichael.hoffman@utoronto.ca

genomics↗

bioRxiv2017

The value of DNA methylation profiling in characterizing preeclampsia and intrauterine growth restriction

Placental health is a key component to healthy pregnancy. Placental insufficiency (PI), inadequate nutrient delivery to the fetus, is associated with preeclampsia (PE), a maternal hypertensive disorder, and intrauterine growth restriction (IUGR), pathologically poor fetal growth. PI is more common in early-onset PE (EOPE) than late-onset PE (LOPE). However, the relationship between these disorders remains unclear. While DNA methylation (DNAm) alterations have been identified in PE and IUGR, these entities can overlap and few studies have analyzed these separately. This study aims to identify altered DNAm in EOPE, LOPE, and normotensive IUGR, validate these alterations, and use them to better understand the relationships between these related disorders.\n\nPlacental samples from a discovery cohort (43 controls, 22 EOPE, 18 LOPE, 11 IUGR) and validation cohort (15 controls, 22 EOPE, 11 LOPE) were evaluated using the Illumina HumanMethylation450 array. To minimize gestational age (GA) effects, EOPE samples were compared to pre-term controls (GA <37 weeks), while LOPE and IUGR were compared to term controls (GA >37 weeks). There were 1703 differentially methylated (DM) sites (FDR<0.05, {Delta}{beta}>0.1) in EOPE, 5 in LOPE, and 0 in IUGR. Of the 1703 EOPE sites, 599 were validated in the second cohort. These sites cluster samples from both cohorts into 3 distinct methylation clusters. Interestingly, LOPE samples diagnosed between 34-36 weeks with co-occurring IUGR clustered with the EOPE methylation cluster. DNAm profiling may provide an independent tool to refine clinical diagnoses into subgroups with more uniform pathology. The challenges in reproducing genome-wide DNAm studies are also discussed.

genomics↗