Biology subjects

Van de Steene, T.

Publications and source records attributed to Van de Steene, T..

7 recordsLinked to original sources

bioRxiv2025

Rapid assay optimization by plug-and-play MAPPIT

Studying protein-protein interactions, which are crucial for all cellular processes in both health and disease, offers valuable insights into underlying mechanisms and reveals promising therapeutic targets. While efforts have been made to vastly increase the scale of MAPPIT assays, covering the full protein interactome remains challenging, in particular when considering the availability of different assay configurations. In this study, we expanded our Golden Gate modular cloning platform to enable rapid, customizable construct assembly for MAPPIT assays. We demonstrate the strength of this expanded toolbox for multiple distinct protein-protein interactions, including a MAPPIT assay for six different intracellular VHH targeting the anti-viral effector protein MXA.

synthetic biology↗

bioRxiv2025

Virotrap Reveals Salmonella SopB as A Ubiquitinated Cargo for Host ESCRT-0

The pathogenic bacterium Salmonella survives and replicates in host cells within a Salmonella-containing vacuole (SCV), a membranous niche it actively remodels via secreted effectors. The phosphoinositide phosphatase SopB is a key effector implicated in SCV biogenesis, yet its host protein interactome has remained incompletely defined. Using the mass spectrometry-based interactomics technology Virotrap, we identify a novel set of SopB-associated host proteins, including the ESCRT-0 subunit HGS and other membrane remodeling proteins. We demonstrate that SopB directly interacts with HGS via its ubiquitin-binding domains, and show that SopB promotes ESCRT-0 recruitment to the SCV, yet ultimately counteracts its anti-replicative effect. As the ESCRT machinery plays a central role in cargo sorting and membrane remodeling, we propose a new SopB-dependent strategy by which Salmonella hijacks host endosomal trafficking to build its intracellular niche.

microbiology↗

bioRxiv2025

A 96well ultrafiltration approach for the high-throughput proteome analysis of extracellular vesicles isolated from conditioned medium

1.Extracellular vesicles (EVs), nanoscale vesicles that are secreted by cells, are critical mediators of intercellular communication and play a crucial role in diverse pathologies such as cancer development. Therefore, EVs are regarded as having high potential in the clinic, both for diagnostic and therapeutic applications. Unfortunately, EVs reside in complex biofluids and their consistent isolation at sufficient purity for mass spectrometry-based proteomics has proven to be challenging, especially when increased high-throughput is required. Here, we describe the incorporation of our previously reported filter-aided EV enrichment (FAEVEr) strategy for the isolation of EVs from conditioned medium, from harvest to proteomic analysis completely to a streamlined 96well format. We compared our approach with ultracentrifugation, the most widely used method for EV enrichment, in terms of protein identifications, consistency, reproducibility and overall performance, including the invested time, resources and required expertise. In addition, our results show that including relative high percentages of TWEEN-20, a mild detergent, markedly improves the final purity of the EV proteome by removing the bulk of non-EV proteins (e.g. serum proteins) and significantly increases the number of identified transmembrane proteins. Moreover, our FAEVEr 96well strategy improves the overall reproducibility with a consistent number of protein identifications and decreased number of missing values across replicates. This promotes the validity and comparability between results, which is essential in both a clinical and research setting, where consistency is paramount. 3. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=115 SRC="FIGDIR/small/634668v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@b45d01org.highwire.dtl.DTLVardef@1460cd0org.highwire.dtl.DTLVardef@1f345fcorg.highwire.dtl.DTLVardef@77c223_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2023

Leveraging a self-cleaving peptide for tailored control in proximity labeling proteomics

Protein-protein interactions play an important biological role in every aspect of cellular homeostasis and functioning. Proximity labeling mass spectrometry-based proteomics overcomes challenges typically associated with other methods, and has quickly become the current state-of-the-art in the field. Nevertheless, tight control of proximity labeling enzymatic activity and expression levels is crucial to accurately identify protein interactors. Here, we leverage a T2A self-cleaving peptide and a non-cleaving mutant to accommodate the protein-of-interest in the experimental and control TurboID setup. To allow easy and streamlined plasmid assembly, we built a Golden Gate modular cloning system to generate plasmids for transient expression and stable integration. To highlight our T2A Split-link design, we applied it to identify protein interactions of the glucocorticoid receptor and SARS-CoV-2 nucleocapsid and NSP7 proteins by TurboID proximity labeling. Our results demonstrate that our T2A split-link provides an opportune control that builds upon previously established control requirements in the field. MotivationIn proximity labeling proteomics protein-protein interactions are identified by in vivo biotinylation. However, the current lack of a universally applicable negative control for differential analysis affects accurate mapping of the interactome. To bridge this gap, we conceptualized a system based on the T2A self-cleaving peptide to match expression levels between control and bait protein setups while using the same bait protein. In addition, we implemented a versatile modular cloning system to build mammalian expression vectors for, but not limited to, proximity labeling assays.

biochemistry↗

bioRxiv2023

Filter-aided extracellular vesicle enrichment (FAEVEr)

AbstractExtracellular vesicles (EVs), membrane-delimited nanovesicles that are secreted by cells into the extracellular environment, are gaining substantial interest due to their involvement in cellular homeostasis and their contribution to disease pathology. The latter in particular has led to an exponential increase in interest in EVs as they are considered to be circulating packages containing potential biomarkers and are also a possible biological means to deliver drugs in a cell-specific manner. However, several challenges hamper straightforward proteome analysis of EVs as they are generally low abundant and reside in complex biological matrices. These matrices typically contain abundant protein concentrations that vastly exceed those of the EV proteome. Therefore, extensive EV isolation and purification protocols are imperative and many have been developed, including (density) ultracentrifugation, size-exclusion and precipitation methods. Here, we describe filter-aided extracellular vesicle enrichment (FAEVEr) as an approach based on 300 kDa MWCO filtration that allows the processing of multiple samples in parallel within a reasonable timeframe and at moderate cost. We demonstrate that FAEVEr is capable of quantitatively retaining EV particles on filters, whilst allowing extensive washing with the mild detergent TWEEN-20 to remove interfering non-EV proteins. The retained particles are directly lysed on the filter for a complete recovery of the EV protein cargo towards proteome analysis. Here, we validate and optimize FAEVEr on recombinant EV material and apply it on conditioned medium as well as on complex serum. Our results indicate that EVs isolated from MCF7 cells cultured with or without serum have a drastic different proteome because of nutrient deprivation.

cell biology↗

bioRxiv2023

N-terminal proteoforms may engage in different protein complexes

Alternative translation initiation and alternative splicing may give rise to N-terminal proteoforms, proteins that differ at their N-terminus compared to their canonical counterparts. Such proteoforms can have altered localizations, stabilities and functions. While proteoforms generated from splice variants can be engaged in different protein complexes, it remained to be studied to what extent this applies to N-terminal proteoforms. To address this, we mapped the interactomes of several pairs of N-terminal proteoforms and their canonical counterparts. First, we generated a catalogue of N-terminal proteoforms found in the HEK293T cellular cytosol from which 22 pairs were selected for interactome profiling. Additionally, we provide evidence for the expression of several N-terminal proteoforms, identified in our catalogue, across different human tissues as well as tissue-specific expression, highlighting their biological relevance. Protein-protein interaction profiling revealed that the overlap of the interactomes for both proteoforms is generally high, showing their functional relation. We also showed that N-terminal proteoforms can be engaged in new interactions and/or lose several interactions compared to their canonical counterpart, thus further expanding the functional diversity of proteomes.

systems biology↗

bioRxiv2021

Limited, but potentially functional translation of non-coding transcripts in the HEK293T cellular cytosol

Ribosome profiling has revealed translation outside of canonical coding sequences (CDSs) including translation of short upstream ORFs, long non-coding RNAs, overlapping ORFs, ORFs in UTRs or ORFs in alternative reading frames. Studies combining mass spectrometry, ribosome profiling and CRISPR-based screens showed that hundreds of ORFs derived from non-coding transcripts produce (micro)proteins, while other studies failed to find evidence for such types of non-canonical translation products. Here, we attempted to discover translation products from non-coding regions by strongly reducing the complexity of the sample prior to mass spectrometric analysis. We used an extended database as the search space and applied stringent filtering of the identified peptides to find evidence for novel translation events. Theoretically, we show that our strategy facilitates the detection of translation events of transcripts from non-coding regions, but experimentally only find 19 peptides (less than 1% of all identified peptides) that might originate from such translation events. Virotrap based interactome analysis of two N-terminal proteoforms originating from non-coding regions finally showed the functional potential of these novel proteins.

molecular biology↗