Search bioRxiv⌕ Search

Biology subjects

Bertoni, B.

Publications and source records attributed to Bertoni, B..

3 recordsLinked to original sources

Targeted Long-Read Bisulfite Sequencing for Promoter Methylation Analysis in Severe Preterm Birth

DNA methylation plays a critical role in the dynamics of gene expression regulation and the development of various disorders. Whole-genome bisulfite sequencing can provide single base resolution of CpG methylation levels and is the "gold standard" for DNA methylation quantification, but it also has a high cost. In contrast, targeted sequencing is optimal when focusing on specific candidate regions, while providing sufficient sequencing depth. Here, we present a targeted bisulfite sequencing approach to study the methylation status of regions of interest. We amplify selected regions from bisulfite-treated DNA and sequence them using Nanopore sequencing. In this work, we applied this workflow to candidate gene promoters for severe premature labor in a Latin American population. We successfully amplified fragments over 1 Kb in length using long PCR conditions for 12 genes that were barcoded per sample and pooled to be sequenced on MinION flow cells. This approach achieved high sequencing depths, ensuring reliable DNAm estimation. We found significant hypomethylation of the MIR155HG gene promoter in severe preterm birth samples, which is concordant with reported gene expression changes. We demonstrate that combining bisulfite DNA treatment with pooled long-read sequencing is a cost- and time-effective method to evaluate DNAm in several targeted regions and several samples in parallel. This study provides proof-of-concept for larger studies, demonstrating the applicability and high scalability of our assay to any locus of interest. Our experience suggests that this approach can be easily transferred to other diagnostic questions.

genetics↗

Investigating DNA methylation as a potential mediator between pigmentation genes, pigmentary traits and skin cancer

BackgroundIncidence rates for melanoma and non-melanoma skin cancer (NMSC), which includes basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), have been steadily increasing in all populations. Populations of European ancestry exhibit the highest rates and therefore, have been widely studied. Pigmentation characteristics are well-known risk factors for skin cancer, particularly fair skin, red hair, blue eyes and the inability to tan. Polymorphisms in established pigmentation-related genes have been associated with these traits and with an increased risk of malignancy. However, the functional relationship between genetic variation and disease is still unclear, with the exception of red hair colour variants in the melanocortin 1 receptor (MC1R) gene. ObjectivesThe aim of this study was to explore the possibility that non-coding pigmentation SNPs are associated with pigmentary traits and skin cancer via DNA methylation (DNAm). Methods and ResultsUsing a meta-GWAS of whole blood DNAm from 36 European cohorts (N=27,750; the Genetics of DNA Methylation Consortium, GoDMC), we found that 19 out of 27 pigmentation-associated SNPs distributed within 10 genes (ASIP, BNC2, IRF4, HERC2, MC1R, OCA2, SLC24A4, SLC24A5, SLC45A2, TYR) were associated with 391 DNAm sites across 30 genomic regions. We selected 25 DNAm sites for further analysis. We examined the effect of the chosen DNAm sites on pigmentation traits, sun exposure phenotypes, and skin cancer, and on gene expression in whole blood. We found an association of decreased DNAm at cg07402062 with red hair in the Avon Longitudinal Study of Parents and Children (ALSPAC), and a strong positive association of DNAm at this and correlated sites with higher expression of SPIRE2. Additionally, we investigated the association of gene expression in skin with pigmentation traits and skin cancer. The expression of ASIP, FAM83C, NCOA6, CDK10, and EXOC2 was associated with hair colour, whilst that of ASIP and CDK10 also had an effect on melanoma and BCC. ConclusionsOur results indicate that DNAm and expression of genes in the 16q24.3 and 20q11.22 regions, deserve to be further investigated as potential mediators of the relationship between genetic variants, pigmentation/sun exposure phenotypes, and some types of skin cancer.

genetics↗

Transcriptomic analysis of fetal membranes reveals pathways involved in preterm birth

Preterm birth (PTB), defined as infant delivery before 37 weeks of completed gestation, results of the interaction of both genetic and environmental components and constitutes a complex multifactorial syndrome. Transcriptome analysis of PTB has proved challenging because of the multiple causes of PTB and the numerous maternal and fetal gestational tissues that must interact to facilitate parturition. A common pathway of labor and PTB may be the activation of fetal membranes. In this work, chorioamnion membranes from severe preterm and term fetus were analyzed using RNA sequencing. A total of 270 genes were differentially expressed (DE): 252 were up-regulated and 18 were down-regulated in the severe preterm compared to the term births. We found great gene expression homogeneity in the control samples, and not in severe preterm samples. In this work, we identified up-regulated pathways that were previously suggested as leading to PTB like immunological and inflammatory paths. New pathways that were not identified in preterm like the hemopoietic path appeared up-regulated in preterm membranes. A group of 18 down-regulated genes discriminates between term and severe preterm cases. These genes potentially characterize a severe preterm transcriptome pattern and therefore are candidate genes for understanding the syndrome. Some of the down-regulated genes are involved in the nervous system, morphogenesis (WNT-1, DLX5, PAPPA2) and ion channel complexes (KCNJ16, KCNB1), making them good candidates as biomarkers of PTB.\n\nThe identification of this DE gene pattern may help to develop a multi-gene disease classifier. These markers were generated in an admixtured South American population where PTB has a high incidence. Since genetic background may impact differentially in different populations it is mandatory to include populations like South American and African ones that are usually excluded from high throughput approaches. These classifiers should be compared to those in other populations to get a global landscape of PTB.

genetics↗