bioRxiv Science⌕ Search

Biology subjects

Herrera, M. A.

Publications and source records attributed to Herrera, M. A..

4 recordsLinked to original sources

De novo acyl carrier proteins display structure-independent modification and sequence novelty

Acyl carrier proteins (ACPs) are dynamic, structurally conserved -helical proteins central to many primary and secondary metabolic processes. Whilst prior engineering efforts have focused on strategic mutagenesis and "helix swaps", much of the ACP sequence design space remains underexplored. Here, we create diverse variants of the archetypal ACP subclass - AcpP - using a bespoke sequence-generating algorithm (ALGO-CP), which utilises a combined evolutionary and physicochemical design approach. Using ALGO-CP, we generated two soluble candidates - ALGO-055 and ALGO-059 - that can undergo full post-translational modification from apo[->]holo[->]acyl forms in vitro, using recombinant modifying enzymes. Building on these successful designs, we further adapted ALGO-CP to produce several chimeras, two of which - chALGO-012 and chALGO-024 - also exhibit full modifiability. We explore the structural plasticity of our ALGO variants via robust molecular dynamic simulations, and we further reveal by circular dichroism spectroscopy that ALGO-055 and ALGO-059 lack the canonical -helical fold of an ACP, whilst remaining soluble and readily modifiable. Upon acylation of ALGO-055 and ALGO-059, we observe a marked increase in helicity indicative of partial restructuring. Of note, both ALGO-055 and ALGO-059 harbour several rare amino acid variations across their sequences, whilst preserving many important acidic "hotspots" involved in key protein-protein interactions. By testing the limits of the AcpP design space, our findings suggest that some key aspects of ACP behaviour (specifically post-translational modification) can be retained independently of the canonical structure. This work establishes a foundation for probing ACP sequence diversity through a hybrid computational-experimental approach. ALGO-CP is available under AGPL3.0 license: https://github.com/MAHerrera-94/ALGO_CP.

bioengineering↗

Mitochondrial Fatty Acid Oxidation is Stimulated by Red Light Irradiation

Keratinocytes are the primary constituents of sunlight-exposed epidermis. In these cells, UVA completely inhibited oxidative phosphorylation, while equivalent doses of blue and green light preserved metabolic fluxes, but reduced viability. In contrast, red light enhanced proliferation and elevated basal and maximal oxygen consumption rates for 48 h, without altering protein levels of the electron transport chain. Targeted flux analysis revealed that red light specifically activates AMPK-dependent mitochondrial fatty acid oxidation. This was accompanied by reduced the levels of free fatty acids and increased acetyl CoA carboxylase phosphorylation. Together, our results characterize wavelength- selective regulation of keratinocyte metabolism: UV/visible wavelengths induce damage, while red light triggers AMPK-dependent fatty acid oxidation, providing a mechanistic explanation for photobiomodulation in epidermal cells. HighlightsUVA (365 nm) abolishes oxidative phosphorylation, while blue/green light (450/517 nm) induce photosensitized toxicity, without metabolic disruption. Red light (660 nm) boosts keratinocyte proliferation and sustains elevated mitochondrial respiration for 48 h. Permeabilized cell electron transport remains unchanged, implicating cytosolic (not mitochondrial) regulation of fuel utilization. Red light activates AMPK and phosphorylates/inhibits acetyl CoA carboxylase (ACC). Photobiomodulation with red light occurs through AMPK/ACC-mediated lipid oxidation, not direct respiratory chain modulation.

biochemistry↗

APEX: Automated Protein EXpression in Escherichia coli

Heterologous protein expression is an indispensable strategy for generating recombinant proteins. Escherichia coli (E. coli) is the most widely used microbial host for recombinant protein production due to its rapid growth, well-characterised genetics, and ability to produce recombinant proteins in high yields using modern recombinant DNA technology. However, while there is a plethora of robust protein expression protocols for E. coli, these methods are often unsuitable for high-throughput screening due to their significant resource and time consumption; these protocols are also susceptible to operator error and inconsistency. To address these challenges, we have developed Automated Protein EXpression (APEX), a robust and automated protocol for recombinant protein production in E. coli. APEX leverages the accessible, open-source Opentrons OT-2 platform to automate microbial handling and protein expression with high precision and reproducibility. APEX can be configured to perform heat shock transformation, colony selection, colony sampling, microculturing and protein expression induction using a low-cost, minimal OT-2 hardware setup. We further demonstrate the efficacy of our automated transformation workflows using a variety of plasmids (2.7-17.7 kb), and exemplify the automated heterologous expression of a diverse array of proteins (27-222 kDa). Designed with customisation, modularity and user-friendliness in mind, APEX can be easily adapted to the operators needs without requiring any coding expertise. APEX is available at https://github.com/stracquadaniolab/apex-nf under the AGPL3 license.

synthetic biology↗

Designing human Sphingosine-1-phosphate lyases using a temporal Dirichlet variational autoencoder

Enzymatic deficiencies cause the accumulation of toxic levels of substrates in a cell and are associated with life-threatening pathologies. Restoring physiological enzymes levels by injecting a recombinant version of the defective enzyme could provide a viable therapeutic option. However, these enzyme replacement therapies have had limited success, as the recombinant enzymes are less catalytically active, cause immune response and are difficult to manufacture. Moreover, the vast sequence design space makes finding enzymes with desired therapeutic properties extremely challenging. Here, we present a new enzyme engineering framework, which builds on recent advances in deep learning, variational calculus and natural language processing, to design variants of human enzymes with biochemical features comparable to the wild type protein as a way to rapidly build targeted libraries for downstream screening. We applied our method to design variants of human Sphyngosine-1-phosphate lyase (HsS1PL) as potential therapeutic treatments for nephrotic syndrome type 14 (NPHS14), and characterized their biochemical properties through extensive sequence and molecular dynamics analyses.

bioinformatics↗