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Aguilar Rangel, M.

Publications and source records attributed to Aguilar Rangel, M..

3 recordsLinked to original sources

Translation fidelity mechanisms and their changes in aging

Protein errors (amino acid misincorporations) are associated to protein misfolding and misfunction, and lower levels correlate with longer lifespan. Despite their prevalence, proteome-wide tracking of misincorporations in eukaryotes is challenging, with most insights being recent and coming from the mining of extensive proteomics data sets. These experimental challenges have precluded the direct in vivo probing and full understanding of the bases of fidelity in higher eukaryotes, and their influence in complex processes such as aging. Here we measured proteome-wide misincorporation frequencies in two experimentally tractable eukaryotic systems, yeast and mouse, using mass spectrometry. We find translation fidelity is organism and organ specific. The measured error frequencies correlate with codon:anticodon pairing thermodynamics and tRNA pool composition, which can have synergistic or opposing effects on fidelity depending on organism or tissue type. Most identified protein errors carry a negative fitness burden. Aging experiments in our two systems reveal that, with age, error frequencies increase in post-mitotic cells, but not so in mitotic ones. These changes correlate with remodeling of the tRNA pool, which we identify as a crucial regulator of translation fidelity during lifespan.

molecular biology↗

Fragment-based computational design of antibodies targeting structured epitopes

De novo design methods hold the promise of reducing the time and cost of antibody discovery, while enabling the facile and precise targeting of predetermined epitopes. Here we describe a fragment-based method for the combinatorial design of antibody binding loops and their grafting onto antibody scaffolds. We designed and tested six single-domain antibodies targeting different epitopes on three antigens, including the receptor-binding domain of the SARS-CoV-2 spike protein. Biophysical characterisation showed that all designs are highly stable, and bind their intended targets with affinities in the nanomolar range without any in vitro affinity maturation. We further discuss how a high-resolution input antigen structure is not required, as our method yields similar predictions when the input is a crystal structure or a computer-generated model. This computational procedure, which readily runs on a laptop, provides a starting point for the rapid generation of lead antibodies binding to pre-selected epitopes. summaryA combinatorial method can rapidly design nanobodies for predetermined epitopes, which bind with KDs in the nanomolar range.

bioinformatics↗

Principles of dengue virus evolvability derived from genotype-fitness maps in human and mosquito cells

Dengue virus (DENV), an arbovirus infecting over 100 million annually, cycles between human and mosquito hosts1. Examining how DENV adapts to such different host environments could uncover principles of arbovirus transmission and emergence. Here we combine sequential passaging and ultra-deep sequencing to examine the sequence dynamics and fitness changes of DENV populations adapting to human and mosquito cells, identifying the contributions of beneficial and deleterious mutations in shaping the fitness landscape driving host-specific paths of viral adaptation. We find DENV phenotypic adaptation is best described by the collective fitness contributions of all the alleles present in the population. Accordingly, while increased fitness during adaptation to each host is driven by host-specific beneficial mutations, it is reduced by the consistently replenished genetic load of deleterious mutations. Of note, host-specific beneficial mutations are in discrete regions across the genome, revealing molecular mechanisms of adaptation. Some of these clusters comprise phenotypically redundant mutations that may provide evolutionary robustness to transmission bottlenecks. Our results also suggest DENV adaptation is facilitated through variation in intrinsically disordered protein regions while transmembrane and structured domains evolve under stronger biophysical constraints. Importantly, the adaptation strategies uncovered in our simple system mirror macro-evolutionary changes observed across DENV serotypes and Zika virus and may suggest general principles of evolvability in arbovirus evolution.

microbiology↗