MAPPIT: a versatile tool to study cytokine receptor signalling

MAPPIT (mammalian protein-protein interaction trap) is a cytokine receptor-based two-hybrid method that operates in intact mammalian cells. A bait is fused C-terminally to a STAT (signal transducer and activator of transcription) recruitment-deficient receptor, whereas the prey is linked to functional STAT-binding sites. When bait and prey interact a ligand-dependent complementation of the STAT recruitment deficiency occurs, leading to activation of a STAT-responsive reporter. MAPPIT is very well suited to study protein interactions involving activated cytokine receptors as the technique allows modification of the bait protein in a physiologically optimal environment

MAPPI-DAT : data management and analysis for protein-protein interaction data from the high-throughput MAPPIT cell microarray platform

Protein-protein interaction (PPI) studies have dramatically expanded our knowledge about cellular behaviour and development in different conditions. A multitude of high-throughput PPI techniques have been developed to achieve proteome-scale coverage for PPI studies, including the microarray based Mammalian Protein-Protein Interaction Trap (MAPPIT) system. Because such high-throughput techniques typically report thousands of interactions, managing and analysing the large amounts of acquired data is a challenge. We have therefore built the MAPPIT cell microArray Protein Protein Interaction-Data management & Analysis Tool (MAPPI-DAT) as an automated data management and analysis tool for MAPPIT cell microarray experiments. MAPPI-DAT stores the experimental data and metadata in a systematic and structured way, automates data analysis and interpretation, and enables the meta-analysis of MAPPIT cell microarray data across all stored experiments

Ryanodine receptors are targeted by anti-apoptotic Bcl-X-L involving its BH4 domain and Lys87 from its BH3 domain

Anti-apoptotic B-cell lymphoma 2 (Bcl-2) family members target several intracellular Ca2+-transport systems. Bcl-2, via its N-terminal Bcl-2 homology (BH) 4 domain, inhibits both inositol 1,4,5-trisphosphate receptors (IP(3)Rs) and ryanodine receptors (RyRs), while Bcl-X-L, likely independently of its BH4 domain, sensitizes IP3Rs. It remains elusive whether Bcl-XL can also target and modulate RyRs. Here, Bcl-X-L co-immunoprecipitated with RyR3 expressed in HEK293 cells. Mammalian protein-protein interaction trap (MAPPIT) and surface plasmon resonance (SPR) showed that Bcl-XL bound to the central domain of RyR3 via its BH4 domain, although to a lesser extent compared to the BH4 domain of Bcl-2. Consistent with the ability of the BH4 domain of Bcl-X-L to bind to RyRs, loading the BH4-Bcl-X-L peptide into RyR3-overexpressing HEK293 cells or in rat hippocampal neurons suppressed RyR-mediated Ca2+ release. In silico superposition of the 3D-structures of Bcl-2 and Bcl-XL indicated that Lys87 of the BH3 domain of Bcl-XL could be important for interacting with RyRs. In contrast to Bcl-X-L, the Bcl-X-L(K87D) mutant displayed lower binding affinity for RyR3 and a reduced inhibition of RyR-mediated Ca2+ release. These data suggest that Bcl-X-L binds to RyR channels via its BH4 domain, but also its BH3 domain, more specific Lys87, contributes to the interaction

Genome dynamics of the human embryonic kidney 293 lineage in response to cell biology manipulations

The HEK293 human cell lineage is widely used in cell biology and biotechnology. Here we use whole-genome resequencing of six 293 cell lines to study the dynamics of this aneuploid genome in response to the manipulations used to generate common 293 cell derivatives, such as transformation and stable clone generation (293T); suspension growth adaptation (293S); and cytotoxic lectin selection (293SG). Remarkably, we observe that copy number alteration detection could identify the genomic region that enabled cell survival under selective conditions (i.c. ricin selection). Furthermore, we present methods to detect human/vector genome breakpoints and a user-friendly visualization tool for the 293 genome data. We also establish that the genome structure composition is in steady state for most of these cell lines when standard cell culturing conditions are used. This resource enables novel and more informed studies with 293 cells, and we will distribute the sequenced cell lines to this effect

Bcl-xL acts as an inhibitor of IP3R channels, thereby antagonizing Ca2+-driven apoptosis

Anti-apoptotic Bcl-2-family members not only act at mitochondria but also at the endoplasmic reticulum, where they impact Ca dynamics by controlling IP receptor (IPR) function. Current models propose distinct roles for Bcl-2 vs. Bcl-xL, with Bcl-2 inhibiting IPRs and preventing pro-apoptotic Ca release and Bcl-xL sensitizing IPRs to low [IP] and promoting pro-survival Ca oscillations. We here demonstrate that Bcl-xL too inhibits IPR-mediated Ca release by interacting with the same IPR regions as Bcl-2. Via in silico superposition, we previously found that the residue K87 of Bcl-xL spatially resembled K17 of Bcl-2, a residue critical for Bcl-2’s IPR-inhibitory properties. Mutagenesis of K87 in Bcl-xL impaired its binding to IPR and abrogated Bcl-xL’s inhibitory effect on IPRs. Single-channel recordings demonstrate that purified Bcl-xL, but not Bcl-xL, suppressed IPR single-channel openings stimulated by sub-maximal and threshold [IP]. Moreover, we demonstrate that Bcl-xL-mediated inhibition of IPRs contributes to its anti-apoptotic properties against Ca-driven apoptosis. Staurosporine (STS) elicits long-lasting Ca elevations in wild-type but not in IPR-knockout HeLa cells, sensitizing the former to STS treatment. Overexpression of Bcl-xL in wild-type HeLa cells suppressed STS-induced Ca signals and cell death, while Bcl-xL was much less effective in doing so. In the absence of IPRs, Bcl-xL and Bcl-xL were equally effective in suppressing STS-induced cell death. Finally, we demonstrate that endogenous Bcl-xL also suppress IPR activity in MDA-MB-231 breast cancer cells, whereby Bcl-xL knockdown augmented IPR-mediated Ca release and increased the sensitivity towards STS, without altering the ER Ca content. Hence, this study challenges the current paradigm of divergent functions for Bcl-2 and Bcl-xL in Ca-signaling modulation and reveals that, similarly to Bcl-2, Bcl-xL inhibits IPR-mediated Ca release and IPR-driven cell death. Our work further underpins that IPR inhibition is an integral part of Bcl-xL’s anti-apoptotic function.The work was supported by Grants from the Research Foundation—Flanders (FWO) (G.0901.18N), by the Research Council of the KU Leuven (OT14/101, C14/19/099, C14/19/101, and AKUL/19/34), the Interuniversity Attraction Poles Program (Belgian Science Policy; IAP-P7/13), the Central European Leuven Strategic Alliance (CELSA/18/040), and the Canadian Institutes Health Research (FDN143312). NR and HI are recipient of postdoctoral fellowships of the FWO; HI obtained a travel grant from the FWO to perform work in DIY’s laboratory. GB, JBP and DIY are part of the FWO Scientific Research Network CaSign (W0.019.17N). Work in DIY’s lab is supported by NIH (NIDCR) grant DE014756. DWA holds the Tier 1 Canada Research Chair in Membrane Biogenesis. The Switch laboratory was supported by the Flanders institute for Biotechnology (VIB), the University of Leuven, the Fund for Scientific Research Flanders (Hercules Foundation/FWO AKUL/15/34—G0H1716N). NL is funded by the Stichting Alzheimer Onderzoek (SAO-FRA 2020/0013) and is recipient of FWO postdoctoral fellowships (12P0919N and 12P0922N to NL)

Host-pathogen interactome mapping for HTLV-1 and -2 retroviruses

Human T-cell leukemia virus type 1 (HTLV-1) and type 2 both target T lymphocytes, yet induce radically different phenotypic outcomes. HTLV-1 is a causative agent of Adult T-cell leukemia (ATL), whereas HTLV-2, highly similar to HTLV-1, causes no known overt disease. HTLV gene products are engaged in a dynamic struggle of activating and antagonistic interactions with host cells. Investigations focused on one or a few genes have identified several human factors interacting with HTLV viral proteins. Most of the available interaction data concern the highly investigated HTLV-1 Tax protein. Identifying shared and distinct host-pathogen protein interaction profiles for these two viruses would enlighten how they exploit distinctive or common strategies to subvert cellular pathways toward disease progression.Comparative StudyJournal ArticleResearch Support, N.I.H. ExtramuralResearch Support, Non-U.S. Gov'tSCOPUS: ar.jinfo:eu-repo/semantics/publishe

Student Success at the University of Pretoria, 2009-2019: A Systemic, Intentional and Data-Informed Strategy

Preface: In essence, the publication provides an exposé of the evolution of an increasingly complex and comprehensive student success strategy developed by a South African university (viz the University of Pretoria). The problem facing the University in 2009 was common across the higher education sector in South Africa: the phenomenon of student success. This publication is a case study or series of case studies of how the University of Pretoria intentionally integrated its student support and development programmes between 2009 and 2019, and how it innovated and improved the holistic programme over the decade. The outcome was a gradual increase in the student success rate as measured by both module pass percentage (defined as the number of students who passed v the number who enrolled for the module) and minimum time to completion of individual cohorts (‘cohort’ defined as a group of first-time entering students followed through to graduation). The chapter reflects on contextualised approaches to student success initiatives that are similar to those found at other institutions, nationally and internationally. Using case studies shows how initiatives develop over time within a unique context, as well as challenges and successes. This publication has both a descriptive and exploratory approach in its case studies. Existing but siloed initiatives within the University were uncovered, interrogated, improved and integrated into a broader programme between 2009 and 2019. The cases might provide some insights into the phenomenon of student success that other South African institutions could contextualise

Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism

Increased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases

A reference map of the human binary protein interactome.

Global insights into cellular organization and genome function require comprehensive understanding of the interactome networks that mediate genotype-phenotype relationships(1,2). Here we present a human 'all-by-all' reference interactome map of human binary protein interactions, or 'HuRI'. With approximately 53,000 protein-protein interactions, HuRI has approximately four times as many such interactions as there are high-quality curated interactions from small-scale studies. The integration of HuRI with genome(3), transcriptome(4) and proteome(5) data enables cellular function to be studied within most physiological or pathological cellular contexts. We demonstrate the utility of HuRI in identifying the specific subcellular roles of protein-protein interactions. Inferred tissue-specific networks reveal general principles for the formation of cellular context-specific functions and elucidate potential molecular mechanisms that might underlie tissue-specific phenotypes of Mendelian diseases. HuRI is a systematic proteome-wide reference that links genomic variation to phenotypic outcomes