Biology subjects

De Spiegelaere, W.

Publications and source records attributed to De Spiegelaere, W..

5 recordsLinked to original sources

bioRxiv2026

Introducing the digital PCR data essentials standard to harmonize data structure for clinical and research use

Digital PCR (dPCR) is a powerful technology for absolute quantification of nucleic acids, valued for its accuracy, sensitivity, and repeatability. Yet, the commercialization of different instruments with proprietary software has introduced challenges to data analysis, interoperability, and comparability. Therefore, we present the Digital PCR Data Essentials Standard (DDES) - a lightweight, human- and machine-readable, and cross-platform data standard developed in collaboration with the dPCR community. The standard consists of three file types designed to enable both manual inspection and automated analysis: (i) a main file summarizing experiment and reaction-level (meta-)data; (ii) an assay file describing targets and detection chemistry, and (iii) intensity files capturing partition-level raw fluorescence data per reaction. DDES supports a wide range of current dPCR applications, including singleplex and multiplex assays, endpoint and real-time readouts, and will be curated to implement future dPCR developments. By harmonizing the data structure, DDES lays out the foundation for FAIR dPCR data practices and supports improved software compatibility, collaborative and reproducible research, and future dPCR data repositories.

bioinformatics↗

bioRxiv2025

Cross-platform digital PCR evaluation of bovine papilloma virus quantification: introducing PCR-ValiPal for Standardized guided assay validation

Digital Polymerase chain reaction (dPCR) enables precise and absolute quantification of nucleic acids by partitioning samples into thousands of individual PCR micro-reactions. While it minimizes the need for standard curves and enhances reproducibility compared to qPCR, thorough assay validation remains crucial. We introduce PCR-ValiPal, a user-friendly web application that standardizes dPCR assay validation steps and streamlines calculations of limit of blank (LOB), limit of detection (LOD), limit of quantification (LOQ), precision, trueness, and linearity in accordance with International Organization for Standardization (ISO) 20395:2019. To demonstrate PCR-ValiPals capabilities and the value of method-specific optimization, we use it to validate a novel three-color PCR assay for Bovine Papillomavirus (BPV) types 1 and 2, comparing four platforms: Naica (droplet dPCR), QIAcuity (microwell dPCR), LOAA (real-time dPCR), and CFX96 (qPCR). Using synthetic standards, we assess the platforms performance under identical assay conditions. Naica and QIAcuity showed lower LOB and LOQ values, along with minimal bias for BPV-1, while LOAA demonstrated stable but negative bias. Although qPCR exhibited the highest sensitivity for BPV-2, it was less sensitive at low concentrations for BPV-1. These results underscore the value of method-specific optimization and the usefulness of PCR-ValiPal.

molecular biology↗

bioRxiv2025

A laser capture microdissection-based method for high-sensitivity transcriptomics from archived FFPE tissue slides with single-cell resolution using LCM-FFPEseq

Understanding gene expression within its spatial context is essential for unravelling biological processes. Laser Capture Microdissection (LCM) has emerged as a transformative technology, enabling targeted isolation of individual cells or regions from tissue sections while preserving spatial context. However, its application to formalin-fixed, paraffin-embedded (FFPE) tissues has been limited by RNA degradation, leaving the vast repository of clinical FFPE samples underutilized. To address this, we introduce LCM-FFPEseq, a novel method combining LCM with the advanced Smart-seq3xpress protocol and FFPE-specific adaptations for spatial transcriptomics of FFPE sections. Unlike traditional protocols requiring thousands of cells to generate high-quality libraries, LCM-FFPEseq achieves high sensitivity, reproducibility, and transcript coverage. With as few as 30 FFPE-embedded K562 cells and Sertoli cells, we detected over 14,000 protein-coding genes per sample, with no substantial gains when a higher number of cells were isolated. Even individual LCM-isolated cells yielded an average of 7,353 or 6,490 protein-coding genes per K562 or Sertoli single cell, respectively. To demonstrate its clinical utility, we applied LCM-FFPEseq to archived testicular FFPE samples from transgender females receiving gender-affirming hormone therapy. Transcriptomic profiling of isolated seminiferous tubules revealed tubular hyalinization to be associated with greater upregulation of extracellular matrix remodelling and inflammatory pathways, alongside stronger downregulation of spermatogenesis-associated pathways. These findings suggest that testicular fibrosis and/or tubular hyalinization may contribute to germ cell loss following inappropriate hormonal exposure. By enabling high-resolution transcriptomics in archived FFPE samples, LCM-FFPEseq unlocks new possibilities for investigating rare cell types, spatial heterogeneity, and therapy-induced tissue remodelling in vast FFPE repositories.

genomics↗

bioRxiv2024

Newly discovered base barrier cells provide compartmentalization of choroid plexus, brain and CSF

The choroid plexus (ChP) is a highly understudied structure of the central nervous system (CNS). The structure hangs in the brain ventricles, is composed of an epithelial cell layer, which produces the cerebrospinal fluid (CSF) and forms the blood-CSF barrier. It encapsulates a stromal mix of fenestrated capillaries, fibroblasts and a broad range of immune cells. Here, we report that the ChP base region harbors unique fibroblasts that cluster together, are connected by tight junctions and seal the ChP stroma from brain and CSF, thereby forming ChP base barrier cells (ChP BBCs). ChP BBCs are derived from meningeal mesenchymal precursors, arrive early during embryonic development, are maintained throughout life and are conserved across species. Moreover, we provide transcriptional profiles and key markers to label ChP BBCs and observe a striking transcriptional similarity with meningeal arachnoid barrier cells (ABCs). Finally, we provide evidence that this fibroblast cluster functions as a barrier to control communication between CSF and the ChP stroma and between the latter and the brain parenchyma. Moreover, loss of barrier function was observed during an inflammatory insult. Altogether, we have identified a novel barrier that provides functional compartmentalization of ChP, brain and CSF. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=146 SRC="FIGDIR/small/601696v1_ufig1.gif" ALT="Figure 1"> View larger version (47K): org.highwire.dtl.DTLVardef@181e787org.highwire.dtl.DTLVardef@1875f33org.highwire.dtl.DTLVardef@7b2bcdorg.highwire.dtl.DTLVardef@78baa6_HPS_FORMAT_FIGEXP M_FIG Newly discovered base barrier cells provide compartmentalization of choroid plexus, brain and CSF The choroid plexus (ChP) hangs in the brain ventricles and is composed of an epithelial cell layer which produces the cerebrospinal fluid (CSF) and forms the blood-CSF barrier. The ChP epithelial cells are continuous with the ependymal cells lining the ventricle wall. At this base region, we identified and characterized a novel subtype of fibroblasts coined the ChP base barrier cells (BBCs). ChP BBCs express tight junctions (TJs), cluster together and seal the ChP stroma from CSF and brain parenchyma. The subarachnoid space (SAS) CSF penetrates deep into choroid plexus invaginations where it is halted by ChP BBCs. Abbreviations: E9-16.5 (embryonic day 9-16.5); P1-4 (postnatal day 1-4). C_FIG

neuroscience↗

bioRxiv2023

Flexible Methods for Standard Error Calculation in digital PCR Experiments

Digital PCR (dPCR) is a highly accurate and precise technique for the quantification of target nucleic acid(s) in a biological sample. This digital quantification relies on the binomial or Poisson distribution to estimate the amount of target molecules based on positive and negative partitions. However, the implementation of these distributions require adherence to underlying assumptions that are often neglected, leading to a suboptimal (too optimistic) variance estimation of the target concentration, especially when considering the multiple sources of variation in experimental dPCR setups. Moreover, these parametric methods cannot be easily used for downstream statistical inference when more advanced analysis are required, such as for copy number variation. We evaluated the performance of three new statistical methods (BootsVar, NonPVar, BinomVar) in both simulations and real-life datasets for target and variance estimation in dPCR setups while taking into account a combination of commonly observed sources of experimental variability that can interfere with the underlying assumptions of the current parametric methods. The results demonstrate the capability of the new methods for variance estimation and present a more accurate reflection of the true variability over the classical binomial approach. In addition, these statistical methods are flexible and generic in the way that they work well for the variance estimation of non-linear statistics that work with ratios (e.g. CNV) and for multiplex dPCR setups. In this study, we provide guidelines when to use the binomial-assumption based methods and when the non-parametric one is better to achieve more accurate variance estimates.

bioinformatics↗