Biology subjects

Potel, C.

Publications and source records attributed to Potel, C..

5 recordsLinked to original sources

bioRxiv2024

Evaluating signaling pathway inference from kinase-substrate interactions and phosphoproteomics data

Cellular signaling plays a vital role in how cells communicate and adapt to both environmental and internal cues. At the molecular level, signaling is largely driven by phosphorylation cascades controlled by kinases. Because of this, kinase-driven signaling pathways are used as a conceptual framework to interpret molecular data across biological contexts. However, signaling pathways were created using limited throughput technologies. As knowledge of kinase-substrate interactions grows through novel computational and experimental approaches, and phosphoproteomic methods improve their coverage and accuracy, traditional signaling pathways need to be revisited. In this study, we critically assess context-specific signaling pathway reconstruction using phosphoproteomics and kinase-substrate networks. We first integrate literature, protein language models, and peptide array data to create a state-of-the-art kinase-substrate network. Focusing on epidermal growth factor (EGF), we conduct a meta-analysis of recent short-term response phosphoproteomics studies, which we complement with three own datasets, representing the most comprehensive characterization of the EGF response available to date. Using three alternative computational methods, we infer kinase-driven pathways, which we compare to multiple ground truth sets, including the canonical pathway, experimentally validated interactions, and correlation supported interactions. Our findings reveal that literature-curated networks, when combined with network propagation, yield the best recovery of ground truth interactions. We found that up to 90% of data-supported direct interactions are absent from current ground truth sets, indicating many unexplored, but data supported kinase interactions. Our results challenge traditional views on signaling pathways and illustrate how to develop new mechanistic hypotheses using phosphoproteomics and network methods.

systems biology↗

bioRxiv2024

RNA-binding proteins identified by R-DeeP/TripepSVM are involved in heterocyst differentiation

RNA-binding proteins (RBPs) are central components of gene regulatory networks. The differentiation of heterocysts in filamentous cyanobacteria is an example of cell differentiation in prokaryotes. Although multiple non-coding transcripts are involved in this process, no RBPs have been implicated thus far. Here we used quantitative mass spectrometry to analyze the differential fractionation of RNA-protein complexes after RNase treatment in density gradients yielding 333 RNA-associated proteins, while a bioinformatic prediction yielded 311 RBP candidates in Nostoc sp. PCC 7120. We validated in vivo the RNA-binding capacity of 6 RBP candidates. Some participate in essential physiological aspects, such as photosynthesis (Alr2890), thylakoid biogenesis (Vipp1) or heterocyst differentiation (PrpA, PatU3), but their association with RNA was unknown. Validated RBPs Asl3888 and Alr1700 were not previously characterized. Alr1700 is an RBP with two OB-fold domains that is differentially expressed in heterocysts. Deletion of alr1700 led to complete deregulation of the cell differentiation process, a striking increase in the number of heterocyst-like cells, and was ultimately lethal in the absence of combined nitrogen. These observations characterize this RBP as a master regulator of the heterocyst patterning and differentiation process, leading us to rename Alr1700 to PatR. The data can be accessed at https://sunshine.biologie.uni-freiburg.de/R-DeeP-Nostoc/.

molecular biology↗

bioRxiv2023

Molecular profiling of sponge deflation reveals an ancient relaxant-inflammatory response

A hallmark of animals is the coordination of whole-body movement. Neurons and muscles are central to this, yet coordinated movements also exist in sponges that lack these cell types. Sponges are sessile animals with a complex canal system for filter-feeding. They undergo whole-body movements resembling "contractions" that lead to canal closure and water expulsion. Here, we combine 3D optical coherence microscopy, pharmacology, and functional proteomics to elucidate anatomy, molecular physiology, and control of these movements. We find them driven by the relaxation of actomyosin stress fibers in epithelial canal cells, which leads to whole-body deflation via collapse of the incurrent and expansion of the excurrent system, controlled by an Akt/NO/PKG/A pathway. A concomitant increase in reactive oxygen species and secretion of proteinases and cytokines indicate an inflammation-like state reminiscent of vascular endothelial cells experiencing oscillatory shear stress. This suggests an ancient relaxant-inflammatory response of perturbed fluid-carrying systems in animals. HighlightsO_LISponge deflation is driven by tension release in actomyosin stress fibers of epithelial pinacocytes C_LIO_LIAkt kinase/Nitric oxide/Protein kinase G/A regulate actomyosin relaxation C_LIO_LIAgitation-induced deflation coincides with an inflammatory state C_LIO_LIThe sponge relaxant-inflammatory response is evolutionary related to similar responses in the vertebrate vascular system C_LI

molecular biology↗

bioRxiv2022

Nudibranch predation boosts sponge silicon cycling

Sponges are singular players in the marine silicon cycle. They accumulate vast stocks of biogenic silica within their bodies and in the sediments beneath them over long periods. These silica stocks are recycled at slow rates, much slower than that of other silicon users such as diatoms. The observation of an abrupt change in sponge biomass in a temperate coastal ecosystem led us to study the effect of nudibranch (Doris verrucosa) predation on the silicon budget of a sponge (Hymeniacidon perlevis) population on an annual scale. Predation rates and the associated sponge silicon fluxes were determined. After 5 months of predation, the abundance of sponge individuals did not change but their biomass decreased by 95%, of which 48% can be explained by nudibranch predation. About 97% of sponge spicules ingested by nudibranchs while feeding was excreted, most of them unbroken, implying a high rate of sponge silica deposition in the surrounding sediments. After predation, sponges partially recovered their biomass stocks within 7 months. This involved a rapid growth rate and large consumption of dissolved silicon, with the highest rates ever recorded unexpectedly occurring when the dissolved silicon concentration was minimal in seawater (< 1.5 M). These findings reveal that the annual sponge predation-recovery cycle triggers unprecedented intra-annual changes in sponge silicon stocks and boosts nutrient cycling. They also highlight the need for intra-annual data collection to understand the dynamics and resilience of sponge ecosystem functioning.

ecology↗

bioRxiv2022

Protein-Peptide Turnover Profiling reveals wiring of phosphorylation during protein maturation

Post-translational modifications (PTMs) regulate various aspects of protein function, including degradation. Mass spectrometric methods that rely on pulsed metabolic labeling are very popular to quantify turnover rates on a proteome-wide scale. Such data have often been interpreted in the context of protein proteolytic stability. Here, we combine theoretical kinetic modeling with experimental pulsed stable isotope labeling of amino acids in cell culture (pSILAC) for the study of protein phosphorylation. We demonstrate that metabolic labeling combined with PTM-specific enrichment does not measure effects of PTMs on protein stability. Rather, it reveals the relative order of PTM addition and removal along a proteins lifetime--a fundamentally different metric. We use this framework to identify temporal phosphorylation sites on cell cycle-specific factors and protein complex assembly intermediates. Our results open up an entirely new aspect in the study of PTMs, by tying them into the context of a proteins lifetime.

biochemistry↗