Biology subjects

Pujols, J.

Publications and source records attributed to Pujols, J..

7 recordsLinked to original sources

bioRxiv2026

Systematic mapping of chimera-permissive sites by CRISPR-guided PAM scanning

Engineered protein chimeras enable new biological functions but remain difficult to design due to context-dependent constraints on insertion tolerance and the need to preserve host protein function. Here, we report CRISPR-guided protospacer adjacent motif (PAM) scanning in yeast to map chimera-permissive sites in living cells. We apply this approach to peptide and reporter insertions. In the first application, we generated 91 insertion chimeras encoding a defined protease cleavage sequence across six components of a model G protein-coupled receptor (GPCR) signaling pathway. Sixty-three percent of sites retain signaling, identifying positions that preserve host function and reveal broad, position-dependent tolerance. Coupling insertional scanning with cognate proteases enables site-resolved mapping of in-cell accessibility, distinguishing protected and exposed regions and defining EX1- and EX2-like regimes. These chimeras are responsive to proteolysis and pharmacological inhibition, enabling reversible control of protein activity. In a second application, we scanned 32 positions in yeast Ste2 and human A2A and MTNR1A receptors to engineer bi-functional chimeras that retain native function while incorporating reporter activity. Together, these results establish PAM scanning as a scalable, protein-agnostic framework for mapping insertion tolerance, interrogating protein accessibility in vivo, and enabling scalable ground-truth benchmarking of predictive chimera engineering.

synthetic biology↗

bioRxiv2023

The structural architecture of an α-synuclein toxic oligomer

Oligomeric species populated during -synuclein aggregation are considered key drivers of neurodegeneration in Parkinsons disease. However, the development of oligomer-targeting therapeutics is constrained by our limited knowledge of their structure and the molecular determinants driving their conversion to fibrils. PSM3 is a nanomolar peptide binder of -synuclein oligomers that inhibits aggregation by blocking oligomer to fibril conversion. Here, we investigate the binding of PSM3 to -synuclein oligomers to discover the mechanistic basis of this protective activity. We find that PSM3 selectively targets an -synuclein N-terminal motif (residues 36-61) that populates a distinct conformation in the monomeric and oligomeric states. This -synuclein region plays a pivotal role in oligomer to fibril conversion, as its absence renders the central NAC domain insufficient to prompt this structural transition. The hereditary mutation G51D, associated with early-onset Parkinsons disease, causes a conformational fluctuation in this region, leading to delayed oligomer to fibril conversion and an accumulation of oligomers that are resistant to remodeling by molecular chaperones. Overall, our findings unveil a new targetable region in -synuclein oligomers, advance our comprehension of oligomer to amyloid fibril conversion and reveal a new facet of -synuclein pathogenic mutations.

biophysics↗

bioRxiv2021

A3D Database: Structure-based Protein Aggregation Predictions for the Human Proteome

MotivationProtein aggregation is associated with highly debilitating human disorders and constitutes a major bottleneck for producing therapeutic proteins. Our knowledge of the human protein structures repertoire has dramatically increased with the recent development of the AlphaFold (AF) deep-learning method. This structural information can be used to understand better protein aggregation properties and the rational design of protein solubility. This article uses the Aggrescan3D (A3D) tool to compute the structure-based aggregation predictions for the human proteome and make the predictions available in a database form. ResultsHere, we present the A3D Database, in which we analyze the AF-predicted human protein structures (for over 17 thousand non-membrane proteins) in terms of their aggregation properties using the A3D tool. Each entry of the A3D Database provides a detailed analysis of the structure-based aggregation propensity computed with A3D. The A3D Database implements simple but useful graphical tools for visualizing and interpreting protein structure datasets. We discuss case studies illustrating how the database could be used to analyze physiologically relevant proteins. Furthermore, the database enables testing the influence of user-selected mutations on protein solubility and stability, all integrated into a user-friendly interface. Availability and implementationA3D Database is freely available at: http://biocomp.chem.uw.edu.pl/A3D2/hproteome

bioinformatics↗

bioRxiv2021

Estimated quantity of swine virus genomes based on quantitative PCR analysis in spray-dried porcine plasma samples collected from multiple manufacturing plants.

This survey was conducted to estimate the incidence and level of potential viral contamination in commercially collected porcine plasma. Samples of spray dried porcine plasma (SDPP) were collected over a 12-month period from eight spray drying facilities in Spain, England, Northern Ireland, Brazil, Canada, and the United States. In this survey, viral load for several porcine pathogens including SVA, TGEV, PRRSV (EU and US strains), PEDV, PCV2, SIV, SDCoV and PPV were determined by qPCR. Regression of Ct on TCID50 of serial diluted stock solution of each virus allowed the estimate of potential viral level in SDPP and unprocessed liquid plasma (using typical solids content of commercially collected porcine plasma). In this survey SVA, TGEV or SDCoV were not detected in any of the SDPP samples. Brazil SDPP samples were free of PRRSV and PEDV. Samples of SDPP from North America primarily contained the PRRSV-US strain while the European samples contained the PRRSV-EU strain (except for one sample from each region containing a low estimated level of the alternative PRRSV strain). Estimated viral level tended to be low ranging from <1.0 log10 TCID50 to <2.5 log10 TCID50. Estimated level of SIV was the exception with a very low incidence rate but higher estimated viral load <3.9 log10 TCID50. In summary, the incidence of potential viral contamination in commercially collected porcine plasma was variable and estimated virus level in samples containing viral DNA/RNA was low.

microbiology↗

bioRxiv2021

A3D 2.0 update for the prediction and optimization of protein solubility

Protein aggregation propensity is a property imprinted in protein sequences and structures, being associated with the onset of human diseases and limiting the implementation of protein-based biotherapies. Computational approaches stand as cost-effective alternatives for reducing protein aggregation and increasing protein solubility. AGGRESCAN 3D (A3D) is a structure-based predictor of aggregation that takes into account the conformational context of a protein, aiming to identify aggregation-prone regions exposed in protein surfaces. Here we inspect the updated 2.0 version of the algorithm, which extends the application of A3D to previously inaccessible proteins and incorporates new modules to assist protein redesign. Among these features, the new server includes stability calculations and the possibility to optimize protein solubility using an experimentally validated computational pipeline. Finally, we employ defined examples to navigate the A3D RESTful service, a routine to handle extensive protein collections. Altogether, this work is conceived to train and assist A3D non-experts in the study of aggregation-prone regions and protein solubility redesign.

bioinformatics↗

bioRxiv2021

α-Helical peptidic scaffolds to target α-synuclein pathogenic species with high affinity and selectivity.

-Synuclein aggregation is a key driver of neurodegeneration in Parkinsons disease and related syndromes. Accordingly, obtaining a molecule that targets -synuclein pathogenic assemblies with high affinity and selectivity is a long-pursued objective. Here, we have exploited the biophysical properties of toxic oligomers and amyloid fibrils to identify a family of -helical peptides that bind selectively to these -synuclein species with low nanomolar affinity, without interfering with the monomeric functional protein. This activity is translated into an unprecedented anti-aggregation potency and the ability to abrogate the oligomers toxicity. With a structure-function relationship in hand, we identified a human peptide expressed in the brain and in the gastrointestinal tract with exceptional binding, antiaggregation, and detoxifying properties, which suggests it might play a protective role against synucleinopathies. The chemical entities we describe here represent a new therapeutic paradigm and are promising tools to assist diagnosis by selectively detecting -synuclein pathogenic species in biofluids.

biophysics↗

bioRxiv2020

Protocols for rational design of protein solubility and aggregation properties using Aggrescan3D standalone

Protein aggregation is a major hurdle in the development and manufacturing of protein-based therapeutics. Development of aggregation-resistant and stable protein variants can be guided by rational redesign using computational tools. Here, we describe the architecture and functionalities of the Aggrescan3D (A3D) standalone package for the rational design of protein solubility and aggregation properties based on three-dimensional protein structures. We present the case studies of the three therapeutic proteins, including antibodies, exploring the practical use of the A3D standalone tool. The case studies demonstrate that protein solubility can be easily improved by the A3D prediction of non-destabilizing amino acid mutations at the protein surfaces.

bioinformatics↗