Biology subjects

D'Andrea, L.

Publications and source records attributed to D'Andrea, L..

6 recordsLinked to original sources

bioRxiv2026

Hippocampal Ring Finger Protein 10-dependent signaling supports cognitive flexibility

The ability to flexibly adapt behavior to changing environmental contingencies is a core component of brain function and relies on experience-dependent remodeling of neural circuits. While cognitive flexibility has been primarily attributed to prefrontal-striatal networks, the contribution of hippocampus and their underlying molecular substrates remains less understood. Here, we show that the dorsal hippocampus has a key role in cognitive flexibility. In particular, Ring Finger Protein 10 (RNF10)-mediated signaling, linking activation of synaptic NMDARs to specific transcriptional programs in the dorsal CA1, is necessary for cognitive flexibility. In fact, in vivo downregulation, through gene deletion and silencing of RNF10, resulting in impaired long-term synaptic plasticity, suppressed cognitive flexibility. This was reflected in the impaired ability to disengage from previously acquired contextual, visual, and spatial information and to adapt behavior to changed context. Overall, our results identified RNF10 as a key in vivo player necessary for the balance between cognitive stability and flexibility.

animal behavior and cognition↗

bioRxiv2023

MetPlast: an R package to evaluate Metabolic Plasticity using Information Theory statistical framework

MetPlast, is an R package that provides the functionalities necessary to analyze biological samples metabolic plasticity. This package takes advantage of the statistical framework provided by the Information Theory to quantify and defined metabolic plasticity parameters. Using previous implemented formula based on Shannon entropy we automatize the calculation and visualization of a set of metabolic plasticity indexes including metabolic diversity, metabolome specialization, and metabolite specialization. We use a publicly available metabolic data set on tomato domestication to demonstrate the power of the present tool to evaluate changes in metabolic plasticity parameters. Thus, MetPlast represents a new and invaluable member of the computational metabolomics toolbox, that will certainly help scientists to unveil hidden information in cell metabolomic landscape. Availability and implementationFreely available at https://github.com/danlucio86/MetPlast

bioinformatics↗

bioRxiv2022

The neoepitope of the complement C5b-9 Membrane Attack Complex is formed by proximity of adjacent ancillary regions of C9

The terminal C5b-9 complement complex (TCC) exists in two forms; the soluble sC5b-9 and the solid-phase inserted Membrane Attack Complex (MAC). The MAC is responsible for forming large {beta}-barrel channels in the membranes of pathogens and can target cells such as gram-negative bacteria. In addition, off-target MAC assembly on endogenous tissue is associated with inflammatory diseases and cancer. Accordingly, a human C5b-9 specific antibody, aE11, has been developed that detects a neoepitope exposed in C9 when it is incorporated into the C5b-9 complex and in polyC9, but not present in the plasma native C9. For nearly four decades aE11 has been routinely used to study complement, MACrelated inflammation, and pathophysiology. However, the identity of this C9 neoepitope remains unknown. Herein, we determined the cryo-EM structure of aE11 in complex with polyC9 at 3.2 [A]resolution. The aE11 binding site revealed that the neoepitope was formed by two separate surfaces on the pore periphery, rather than a conformational change in the protein structure, and is therefore a discontinuous quaternary epitope. These surfaces are contributed by portions of the adjacent TSP1, LDLRA and MACPF domains of two neighbouring C9 protomers. By substituting key antibody interacting residues to the murine orthologue, we validated the unusual binding modality of aE11. Furthermore, our observations indicated that aE11 can recognise a partial epitope in purified monomeric C9, albeit binding was two orders of magnitude weaker. Taken together, our results reveal the basis for MAC recognition by aE11 and that the C9 neoepitope can be formed without substantial conformational rearrangements adding insight into how aE11 is used to quantify MAC formation in disease.

biochemistry↗

bioRxiv2021

The cryo-EM structure of the neurofibromin dimer reveals the molecular basis for von Recklinghausen disease

Neurofibromin (NF1) is a tumour suppressor mutated in neurofibromatosis type 1 (von Recklinghausen disease), one of the most common human genetic diseases(1). NF1 regulates cellular growth through suppressing the Rat Sarcoma (RAS) pathway and, accordingly, mutations in this protein drive numerous cancers, including melanoma, ovarian, breast and brain cancer(2, 3). Currently, however, the molecular basis for NF1 function remains to be understood. Here we address this problem and use cryogenic Electron Microscopy (cryo-EM) to determine the structure of fulllength NF1. The 640 kDa NF1 homodimer forms an extraordinary lemniscate ({infty}) shaped molecule that is ~30 nm in length and ~ 10 nm wide. Each NF1 monomer comprises an N-terminal HEAT-repeat domain (N-HEAT), a guanosine triphosphatase activating protein (GAP)-related domain (GRD), a Sec14 homologous and pleckstrin homologous module (SEC-PH), and a C-terminal HEAT domain (C-HEAT). The core NF1 scaffold is formed via a head-to-tail dimer of the N- and C-HEAT domains. This platform, which is responsible for interacting with more than 10 regulatory binding partners, comprises an extraordinary array of over 150 -helices. Analysis of these EM data revealed that the GRD and SEC-PH domain are highly mobile with respect to the core scaffold and could not initially be accurately placed in electron density. Strikingly, however, using 3D variability analysis we were able to identify a significant subpopulation of NF1 particles and determine the complete NF1 structure to 5.6 [A] resolution. These data revealed that the catalytic GRD and lipid binding SEC-PH domain are positioned against the core scaffold in a closed, autoinhibited conformation. We postulate that interaction with the plasma membrane may release the closed conformation in order to promote RAS inactivation. Our structural data further allow us to map the location of disease-associated NF1 variants and provide a long sought-after structural explanation for the extreme susceptibility of the molecule to loss-of-function mutations. Finally, it is suggested that approaches to combat NF1-linked diseases may include release of the autoinhibited state in order to improve NF1 catalytic efficiency.

biochemistry↗

bioRxiv2020

All is fish that comes to the net: metabarcoding for rapid fisheries catch assessment

Monitoring marine resource exploitation is a key activity in fisheries science and biodiversity conservation. Since research surveys are time-consuming and costly, fishery-dependent data (i.e. derived directly from fishing vessels) are increasingly credited with a key role in expanding the reach of ocean monitoring. Fishing vessels may be seen as widely ranging data-collecting platforms, which could act as a fleet of sentinels for monitoring marine life, in particular exploited stocks. Here, we investigate the possibility of assessing catch composition of single hauls carried out by trawlers by applying DNA metabarcoding to the "slush" collected from fishing nets just after the end of hauling operations. We assess the performance of this approach in portraying {beta}-diversity and examining the quantitative relationship between species abundances in the catch and DNA amount in the slush (reads counts generated by amplicon sequencing). We demonstrate that the assemblages identified using DNA in the slush mirror those returned by visual inspection of net content and detect a strong relationship between read counts and species abundances in the catch. We therefore argue that this approach could be upscaled to serve as a powerful source of information on the structure of demersal assemblages and the impact of fisheries.

ecology↗

bioRxiv2020

Structural analysis of the PTEN:P-Rex2 signalling node reveals how cancer-associated mutations coordinate to hyperactivate Rac1

The PTEN:P-Rex2 complex is one of the most commonly mutated signaling nodes in metastatic cancer. Assembly of the PTEN:P-Rex2 complex inhibits the activity of both proteins, and its dysregulation can drive PI3K-AKT signaling and cell proliferation. Here, using extensive crosslinking mass spectrometry and functional studies, we provide crucial mechanistic insights into PTEN:P-Rex2 complex assembly and co-inhibition. PTEN is anchored to P-Rex2 by interactions between the PTEN PDZ-BM tail and the second PDZ domain of P-Rex2. This interaction bridges PTEN across the P-Rex2 surface, occluding PTEN membrane-binding and PI(3,4,5)P3 hydrolysis. Conversely, PTEN both allosterically promotes an autoinhibited P-Rex2 conformation and occludes G{beta}{gamma} binding and GPCR activation. These insights allow us to define a new gain-of-function class of cancer mutations within the PTEN:P-Rex2 interface that uncouples PTEN inhibition of Rac1 signaling. These findings provide a mechanistic framework to understand the dysregulation of the PTEN:P-Rex2 signaling node in metastatic cancer.

biochemistry↗