Amino Acid Residues In Proteins Research Articles

NMR Reveals Functionally Relevant Thermally Induced Structural Changes within the Native Ensemble of G-CSF.

Structure–function relationships in proteins refer to a trade-off between stability and bioactivity, molded by evolution of the molecule. Identifying which protein amino acid residues jeopardize global or local stability for the benefit of bioactivity would reveal residues pivotal to this structure–function trade-off. Here, we use 15N–1H heteronuclear single quantum coherence (HSQC) nuclear magnetic resonance (NMR) spectroscopy to probe the microenvironment and dynamics of residues in granulocyte colony-stimulating factor (G-CSF) through thermal perturbation. From this analysis, we identified four residues (G4, A6, T133, and Q134) that we classed as significant to global stability, given that they all experienced large environmental and dynamic changes and were closely correlated to each other in their NMR characteristics. Additionally, we observe that roughly four structural clusters are subject to localized conformational changes or partial unfolding prior to global unfolding at higher temperature. Combining NMR observables with structure relaxation methods reveals that these structural clusters concentrate around loop AB (binding site III inclusive). This loop has been previously implicated in conformational changes that result in an aggregation prone state of G-CSF. Residues H43, V48, and S63 appear to be pivotal to an opening motion of loop AB, a change that is possibly also important for function. Hence, we present here an approach to profiling residues in order to highlight their potential roles in the two vital characteristics of proteins: stability and bioactivity.

Two different protein corona formation modes on Soluplus® nanomicelles

Soluplus® nanomicelles have been widely reported in biomedical field for their excellent drug loading capacity and solubility enhancement ability. However, when administrated in vivo, the protein corona will be formed on Soluplus® nanomicelles, significantly affecting their drug delivery performance. Up to now, few studies examined the protein corona formation process and its impact factors of Soluplus® nanomicelles. The multiple proteins in biofluids may form protein corona in different modes due to their diversified properties. In this study, Bovine serum albumin (BSA), Lysozyme (Lyso) and Bovine hemoglobin (BHb) were chosen as model proteins to investigate the protein corona formation process of Soluplus® nanomicelles. By analyzing the polarity of the protein amino acid residues distributing microenvironments, the results showed that there were two different protein corona formation modes, i.e., surface adsorption and insertion, which were determined by the hydrophilicity of proteins. The hydrophobic BHb followed the insertion mode while hydrophilic BSA and Lyso followed the surface adsorption mode. Ultimately, upon protein corona formation, the size and surface chemistry of nanomicelles was significantly affected. We believe this study will provide a new research paradigm to the design and application of Soluplus® nanomicelles.

Chemoproteomics reveals berberine directly binds to PKM2 to inhibit the progression of colorectal cancer

SummaryColorectal cancer is one of the most serious tumors and berberine can inhibit the recurrence and transformation of colorectal adenoma into colorectal cancer. However, the direct binding target proteins of berberine in inhibiting colorectal cancer remain unclear. In this study, the chemical proteomics method was used and demonstrated that berberine is directly bound to pyruvate kinase isozyme type M2 (PKM2) in colorectal cancer cells. The triangular N-O-O triangular structure of berberine contributed to hydrophobic interaction with I119 amino acid residues and π-π interaction with F244 amino acid residues of PKM2 protein. Moreover, berberine was shown to inhibit the reprogramming of glucose metabolism and the phosphorylation of STAT3, down regulate the expression of Bcl-2 and Cyclin D1 genes, ultimately inhibiting the progression of colorectal cancer. This study uncovered the direct binding target protein and mechanism of berberine to improve metabolic reprogramming in colorectal cancer, which is helpful to guide the optimization of berberine.

Computational insights into missense mutations in HTT gene causing Huntington's disease and its interactome networks.

Huntington's disease is a rare neurodegenerative illness of the central nervous system that is inherited in an autosomal dominant pattern. Mutant huntingtin proteinis produced as a result of enlargement of CAG repeat in the N-terminal of the polyglutamine tract. Herein, we aim to investigate the mutations and their effects on the HTT gene and its genetic variants. Additionally, the protein-protein interaction of HTT with other proteins and receptor-ligand interaction with the three-dimensional structure of huntingtin proteinwere identified. A comprehensive analysis of the HTT interactome and protein-ligand interaction has been carried out to provide a global picture of structure-function analysis of huntingtin protein. Mutations were analyzed and mutation verification tools were used to check the effect of mutation on protein function. The results showed, mutations in a single gene are not only responsible for causing a particular disease but may also cause other hereditary disorders as well. Moreover, the modification at the nucleotide level also cause the change in the specific amino acid which may disrupt the function of HTT and its interacting proteins contributing in disease pathogenesis. Furthermore, the interaction between MECP2 and BDNF lowers the rate of transcriptional activity. Molecular docking further confirmed the strong interaction between MECP2 and BDNF with highest affinity. Amino acid residues of the HTT protein, involved in the interaction with tetrabenazine were N912, Y890, G2385, and V2320. These findings proved, tetrabenazine as one of the potential therapeutic agent for treatment of Huntington's disease. These results give further insights into the genetics of Huntington's disease for a better understanding of disease models which will be beneficial for the future therapeutic studies.

Phenolic compounds of Solanum xanthocarpum play an important role in anti-inflammatory effects

• 51 phenolic compounds including seven new compounds have been separated. • 40 known compounds were isolated from Solanum xanthocarpum for the first time. • The inhibitory activities of the NO release of LPS-induced RAW 264.7 cells were performed. • The possible mechanism of NO inhibition was investigated using molecular docking. • The bioinformatic analysis further revealed the potential anti-inflammatory targets. Solanum xanthocarpum is used for the treatment of rheumatic arthritis, toothache, sore throats, carbuncle, furuncle, and other inflammatory diseases in traditional Chinese medicine and Ayurvedic medical system, with the phenolic compounds being one of its principal components. In this study, 51 phenolic compounds including seven new compounds 1 , 2 , 9 , 13 , 17, 22 , and 40 were isolated from the fruits of Solanum xanthocarpum . 40 known compounds 3 – 8, 10 – 12, 14 – 16, 18 – 21, 23 – 25, 28 – 32, 35 – 39, 41 – 51 were firstly isolated from Solanum xanthocarpum . Their structures were determined by comprehensive spectroscopic analyses, X-ray crystallography, NMR calculations, chemical methods, and comparisons of spectroscopic data. The results of anti-inflammatory assays indicated that most isolated compounds ( 3 – 7 , 11 – 30 , 32 – 37 , 39 , 40 , 42 , 43 , 45 , and 48 – 51 ) possessed significant inhibitory activities of the NO release of LPS-induced RAW 264.7 cells, with IC 50 values ranging from 10.46 to 47.59 μM. Further analysis by molecular docking implied that most bioactive compounds could interact with the amino acid residues of iNOS proteins, supporting the anti-inflammatory activity of the compounds. Especially, compounds 17 – 20 , 26 – 27 , 32 , and 34 showed strong affinities with iNOS proteins. The bioinformatic analysis further revealed the potential anti-inflammatory targets of the phenolic compounds isolated from the fruits of Solanum xanthocarpum .

Oleuropein as a Potent Compound against Neurological Complications Linked with COVID-19: A Computational Biology Approach.

The association of COVID-19 with neurological complications is a well-known fact, and researchers are endeavoring to investigate the mechanistic perspectives behind it. SARS-CoV-2 can bind to Toll-like receptor 4 (TLR-4) that would eventually lead to α-synuclein aggregation in neurons and stimulation of neurodegeneration pathways. Olive leaves have been reported as a promising phytotherapy or co-therapy against COVID-19, and oleuropein is one of the major active components of olive leaves. In the current study, oleuropein was investigated against SARS-CoV-2 target (main protease 3CLpro), TLR-4 and Prolyl Oligopeptidases (POP), to explore oleuropein potency against the neurological complications associated with COVID-19. Docking experiments, docking validation, interaction analysis, and molecular dynamic simulation analysis were performed to provide insight into the binding pattern of oleuropein with the three target proteins. Interaction analysis revealed strong bonding between oleuropein and the active site amino acid residues of the target proteins. Results were further compared with positive control lopinavir (3CLpro), resatorvid (TLR-4), and berberine (POP). Moreover, molecular dynamic simulation was performed using YASARA structure tool, and AMBER14 force field was applied to examine an 100 ns trajectory run. For each target protein-oleuropein complex, RMSD, RoG, and total potential energy were estimated, and 400 snapshots were obtained after each 250 ps. Docking analyses showed binding energy as −7.8, −8.3, and −8.5 kcal/mol for oleuropein-3CLpro, oleuropein-TLR4, and oleuropein-POP interactions, respectively. Importantly, target protein-oleuropein complexes were stable during the 100 ns simulation run. However, an experimental in vitro study of the binding of oleuropein to the purified targets would be necessary to confirm the present study outcomes.

A single amino acid residue in bank vole prion protein drives permissiveness to Nor98/atypical scrapie and the emergence of multiple strain variants.

Prions are infectious agents that replicate through the autocatalytic misfolding of the cellular prion protein (PrPC) into infectious aggregates (PrPSc) causing fatal neurodegenerative diseases in humans and animals. Prions exist as strains, which are encoded by conformational variants of PrPSc. The transmissibility of prions depends on the PrPC sequence of the recipient host and on the incoming prion strain, so that some animal prion strains are more contagious than others or are transmissible to new species, including humans. Nor98/atypical scrapie (AS) is a prion disease of sheep and goats reported in several countries worldwide. At variance with classical scrapie (CS), AS is considered poorly contagious and is supposed to be spontaneous in origin. The zoonotic potential of AS, its strain variability and the relationships with the more contagious CS strains remain largely unknown. We characterized AS isolates from sheep and goats by transmission in ovinised transgenic mice (tg338) and in two genetic lines of bank voles, carrying either methionine (BvM) or isoleucine (BvI) at PrP residue 109. All AS isolates induced the same pathological phenotype in tg338 mice, thus proving that they encoded the same strain, irrespective of their geographical origin or source species. In bank voles, we found that the M109I polymorphism dictates the susceptibility to AS. BvI were susceptible and faithfully reproduced the AS strain, while the transmission in BvM was highly inefficient and was characterized by a conformational change towards a CS-like prion strain. Sub-passaging experiments revealed that the main strain component of AS is accompanied by minor CS-like strain components, which can be positively selected during replication in both AS-resistant or AS-susceptible animals. These findings add new clues for a better comprehension of strain selection dynamics in prion infections and have wider implications for understanding the origin of contagious prion strains, such as CS.

Predicting Reaction Mechanisms for the Threonine-Residue Stereoinversion Catalyzed by a Dihydrogen Phosphate Ion.

The stereoinversion of amino acid residues in proteins is considered to trigger various age-related diseases. Serine (Ser) residues are relatively prone to stereoinversion. It is assumed that threonine (Thr) residues also undergo stereoinversion, which results in the formation of the d-allo-Thr residue, by the same mechanisms as those for Ser-residue stereoinversion; however, d-allo-Thr residues have not been detected in vivo. To date, although Ser-residue stereoinversion has been suggested to progress via enolization, plausible reaction mechanisms for Thr-residue stereoinversion have not been proposed. In this study, we investigated the pathway of Thr-residue enolization and successfully identified the three types of plausible reaction pathways of Thr-residue stereoinversion catalyzed by a dihydrogen phosphate ion. The geometries of reactant complexes, transition states, and enolized product complexes were optimized using B3LYP density functional methods, and single-point calculations were performed for all optimized geometries using Møller–Plesset perturbation theory to obtain reliable energies. As a result, the calculated activation energies of Thr-residue stereoinversion were 105–106 kJ mol–1, which were comparable with those of Ser-residue stereoinversion reported previously. The infrequency of Thr-residue stereoinversion may be due to other factors, such as the hydrophobicity and/or the steric hindrance of the γ-methyl group, rather than the high activation energies.

The roles of highly conserved, non-catalytic residues in class A β-lactamases.

Evolution minimizes the number of highly conserved amino acid residues in proteins to ensure evolutionary robustness and adaptability. The roles of all highly conserved, non‐catalytic residues, 11% of all residues, in class A β‐lactamase were analyzed by studying the effect of 146 mutations on in cell and in vitro activity, folding, structure, and stability. Residues around the catalytic residues (second shell) contribute to fine‐tuning of the active site structure. Mutations affect the structure over the entire active site and can result in stable but inactive protein. Conserved residues farther away (third shell) ensure a favorable balance of folding versus aggregation or stabilize the folded form over the unfolded state. Once folded, the mutant enzymes are stable and active and show only localized structural effects. These residues are found in clusters, stapling secondary structure elements. The results give an integral picture of the different roles of essential residues in enzymes.

Purification, identification, and antioxidative mechanism of three novel selenium-enriched oyster antioxidant peptides

Natural organic selenium (Se) has multiple physiological health benefits and has become a hotspot of research in recent years. In this study, the Se-enriched antioxidant peptides were purified from Se-enriched oyster hydrolysate. Three novel Se-enriched antioxidant peptides LLVSeMY (685.2953 Da), MMDSeML (687.1875 Da) and VSeMDSeML (703.1599 Da) were identified from fraction F6-4, which all exhibited strong cellular antioxidant activity (CAA) with EC50 values of 0.739, 0.423, and 0.395 μg/mL, respectively. These three Se-enriched antioxidant peptides (0.025 mg/mL) could significantly enhanced cell viability to 84.60 ± 3.32% ∼ 86.18 ± 1.36% compared with the AAPH injury group (75.99 ± 0.79%), and the cytoprotective effects were even better than that of GSH (80.47 ± 2.78%). Moreover, these three Se-enriched peptides also significantly protected HepG2 cells from AAPH-induced oxidative injury by inhibiting ROS production and enhancing the activities of antioxidant enzymes. The molecular docking results showed that these three Se-enriched peptides can form stable hydrogen and hydrophobic bonds with key amino acid residues of Keap1 protein, thereby potentially regulating the Keap1-Nrf2 pathway. In conclusion, the three novel Se-enriched oyster antioxidant peptides are expected to be used in medicine or functional food, providing a new theoretical basis for the high-value utilization of natural organic Se.

Randomizing of Oligopeptide Conformations by Nearest Neighbor Interactions between Amino Acid Residues.

Flory’s random coil model assumes that conformational fluctuations of amino acid residues in unfolded poly(oligo)peptides and proteins are uncorrelated (isolated pair hypothesis, IPH). This implies that conformational energies, entropies and solvation free energies are all additive. Nearly 25 years ago, analyses of coil libraries cast some doubt on this notion, in that they revealed that aromatic, but also β-branched side chains, could change the 3J(HNHCα) coupling of their neighbors. Since then, multiple bioinformatical, computational and experimental studies have revealed that conformational propensities of amino acids in unfolded peptides and proteins depend on their nearest neighbors. We used recently reported and newly obtained Ramachandran plots of tetra- and pentapeptides with non-terminal homo- and heterosequences of amino acid residues to quantitatively determine nearest neighbor coupling between them with a Ising type model. Results reveal that, depending on the choice of amino acid residue pairs, nearest neighbor interactions either stabilize or destabilize pairs of polyproline II and β-strand conformations. This leads to a redistribution of population between these conformations and a reduction in conformational entropy. Interactions between residues in polyproline II and turn(helix)-forming conformations seem to be cooperative in most cases, but the respective interaction parameters are subject to large statistical errors.

Identification of Potential Vaccine Candidates Against SARS-CoV-2 to Fight COVID-19: Reverse Vaccinology Approach.

BackgroundThe recent emergence of COVID-19 has caused an immense global public health crisis. The etiological agent of COVID-19 is the novel coronavirus SARS-CoV-2. More research in the field of developing effective vaccines against this emergent viral disease is indeed a need of the hour.ObjectiveThe aim of this study was to identify effective vaccine candidates that can offer a new milestone in the battle against COVID-19.MethodsWe used a reverse vaccinology approach to explore the SARS-CoV-2 genome among strains prominent in India. Epitopes were predicted and then molecular docking and simulation were used to verify the molecular interaction of the candidate antigenic peptide with corresponding amino acid residues of the host protein.ResultsA promising antigenic peptide, GVYFASTEK, from the surface glycoprotein of SARS-CoV-2 (protein accession number QIA98583.1) was predicted to interact with the human major histocompatibility complex (MHC) class I human leukocyte antigen (HLA)-A*11-01 allele, showing up to 90% conservancy and a high antigenicity value. After vigorous analysis, this peptide was predicted to be a suitable epitope capable of inducing a strong cell-mediated immune response against SARS-CoV-2.ConclusionsThese results could facilitate selecting SARS-CoV-2 epitopes for vaccine production pipelines in the immediate future. This novel research will certainly pave the way for a fast, reliable, and effective platform to provide a timely countermeasure against this dangerous virus responsible for the COVID-19 pandemic.

Synthesis of New Spiro-Cyclopropanes Prepared by Non-Stabilized Diazoalkane Exhibiting an Extremely High Insecticidal Activity.

The synthesis of new insecticidal gem-dimethyspiro-cyclopropanes derived from pyrrolidine-2,3-dione have been described, and their biological effect against different insect species has been evaluated. The presented results demonstrate the excellent insecticidal activity of cyclopropane 5c against Aedes aegypti and Musca domestica. Cyclopropane 5c showed the quickest knockdown and the best killing against Aedes aegypti and Musca domestica compared to trans-chrysanthemic acid and pyrethrin. The biological results of the high insecticidal activity were confirmed by the results of docking. This is evident in the binding affinity obtained for cyclopropane 5c, indicating good binding with an important active amino acid residue of the 5FT3 protein.

Implementation of residue-level coarse-grained models in GENESIS for large-scale molecular dynamics simulations.

Residue-level coarse-grained (CG) models have become one of the most popular tools in biomolecular simulations in the trade-off between modeling accuracy and computational efficiency. To investigate large-scale biological phenomena in molecular dynamics (MD) simulations with CG models, unified treatments of proteins and nucleic acids, as well as efficient parallel computations, are indispensable. In the GENESIS MD software, we implement several residue-level CG models, covering structure-based and context-based potentials for both well-folded biomolecules and intrinsically disordered regions. An amino acid residue in protein is represented as a single CG particle centered at the Cα atom position, while a nucleotide in RNA or DNA is modeled with three beads. Then, a single CG particle represents around ten heavy atoms in both proteins and nucleic acids. The input data in CG MD simulations are treated as GROMACS-style input files generated from a newly developed toolbox, GENESIS-CG-tool. To optimize the performance in CG MD simulations, we utilize multiple neighbor lists, each of which is attached to a different nonbonded interaction potential in the cell-linked list method. We found that random number generations for Gaussian distributions in the Langevin thermostat are one of the bottlenecks in CG MD simulations. Therefore, we parallelize the computations with message-passing-interface (MPI) to improve the performance on PC clusters or supercomputers. We simulate Herpes simplex virus (HSV) type 2 B-capsid and chromatin models containing more than 1,000 nucleosomes in GENESIS as examples of large-scale biomolecular simulations with residue-level CG models. This framework extends accessible spatial and temporal scales by multi-scale simulations to study biologically relevant phenomena, such as genome-scale chromatin folding or phase-separated membrane-less condensations.

In Silico Study of Secondary Metabolites in Dendrobium spp. as SARS-CoV-2 Antivirus on Main Protease (Mpro)

Infection and deaths cases by SARS-CoV-2 still increase and have not decreased significantly. Main protease (Mpro) is playing an important role in the replication of SARS-CoV-2 life cycle and causes of rapid transmission. Natural compounds are potential to be antiviral candidates with high bioavailability and low cytotoxicity. Orchids of Dendrobium genus have high diversity in Indonesia. Dendrobium has been used as traditional Chinese medicine and contains a group of secondary metabolites with antiviral activity. This study aimed to determine the potential of secondary metabolites of Dendrobium orchids as antiviral candidates against Mpro SARS-CoV-2 with in silico molecular docking. Secondary metabolites obtained from the KNApSAck and PubChem act as ligands. N3 inhibitors as native ligands were obtained from the RCSB. Mpro SARS-CoV-2 (6LU7) as a target macromolecule. Molecular docking was carried out using the online Covid-19 Docking Server using AutoDock Vina device. The most negative binding affinity value for each ligand compared to the native ligand binding affinity. Visualization with Discovery Studio software has been used to observe the protein amino acid residues contact for each ligand. The binding affinity of the native ligand inhibitor N3 is -7.5 kcal/mol. Based on the results of Mpro docking, three phytochemicals from Dendrobium spp., i.e., dendrocandin B, denthyrsinone, and denthyrsinol compounds have binding affinities of -7.7 kcal/mol, -7.9 kcal/mol, and -8.1 kcal/mol, respectively. It can be concluded that in Dendrobium orchid, denthyrsinol has the highest chance of binding so it has the potential to inhibit the Mpro SARS-CoV-2 activity.

Structure-Based Modeling of the Mechanical Behavior of Cross-Linked Enzyme Crystals

Because of their high volumetric catalytic activity, in addition to their high chemical and thermal resistances, enzymes in the form of protein crystals are an excellent choice for application as immobilized biocatalysts. However, mechanical stability is a requirement for the processability of immobilisates, in addition to the protein crystals retaining their enzymatic activity, and this is closely related to the crystal structure. In this study, the influence of protein engineering on the mechanical stability of cross-linked enzyme crystals (CLECs) was investigated using a genetically modified model protein in which additionally cysteines were introduced on the protein surface for targeted cross-linking. The results showed that the mechanical stability of crystals of the mutant proteins in the native form was decreased compared to native wild-type crystals. However, specific cross-linking of the introduced amino acid residues in the mutant proteins resulted in their increased mechanical stability compared to wild-type CLECs. In order to determine the correlation between the crystal structure and the resulting mechanical properties of CLECs to enable targeted cross-linking, a previously developed model was revised and then used for the two model proteins. This model can explain the mechanically investigated relationships, such as the anisotropic crystal behavior and the influence of a linker or mutation on the micromechanical properties and, hence, can be helpful for the tailor-made production of CLECs.

Reduction in Phosphoribulokinase Amount and Re-Routing Metabolism in Chlamydomonas reinhardtii CP12 Mutants.

The chloroplast protein CP12 is involved in the dark/light regulation of the Calvin–Benson–Bassham cycle, in particular, in the dark inhibition of two enzymes: glyceraldehyde−3-phosphate dehydrogenase (GAPDH) and phosphoribulokinase (PRK), but other functions related to stress have been proposed. We knocked out the unique CP12 gene to prevent its expression in Chlamydomonas reinhardtii (ΔCP12). The growth rates of both wild-type and ΔCP12 cells were nearly identical, as was the GAPDH protein abundance and activity in both cell lines. On the contrary, the abundance of PRK and its specific activity were significantly reduced in ΔCP12, as revealed by relative quantitative proteomics. Isolated PRK lost irreversibly its activity over-time in vitro, which was prevented in the presence of recombinant CP12 in a redox-independent manner. We have identified amino acid residues in the CP12 protein that are required for this new function preserving PRK activity. Numerous proteins involved in redox homeostasis and stress responses were more abundant and the expressions of various metabolic pathways were also increased or decreased in the absence of CP12. These results highlight CP12 as a moonlighting protein with additional functions beyond its well-known regulatory role in carbon metabolism.

Protonation of model ionizable sidechains in transmembrane protein domains

The ionization states of individual amino acid residues of membrane proteins in lipid membrane environment are difficult to decipher or assign directly. The effective pK(a) values of protein groups are determined by a complex interplay between local polarity, Coulomb interactions, and structural reorganizations. The analysis is further complicated by the dearth of information about gradients in polarity, electric potentials, and hydration at the protein-membrane interface. In this work we report on a spin-labeling EPR method for assessing effects of membrane surface potential, local environment at the protein-membrane interface, and water penetration along this interface on effective pK(a) of membrane-buried ionizable groups.

Analyses of experiment based ramachandran plots of tri-, tetra- and pentapeptides reveal residue dependent interactions between neighbors

Flory's canonical random coil model is based on the assumption that conformational fluctuations of amino acid residues in unfolded poly(oligo)peptides and proteins are uncorrelated (isolated pair hypothesis, IPH). It implies that conformational energies, entropies, and solvation free energies are all additive. Nearly 25 years ago, analyses of coil libraries casted some doubt on this notion in that they revealed that aromatic residues could change the 3J(HNHCα) coupling of their neighbors. Since then multiple lines of bioinformatical, computational and lately also experimental evidence indicate that the conformational propensities of amino acids in unfolded peptides and proteins depend on their nearest neighbors and possibly even on the nature of the second neighbor.

CDNA Characterization and Expression of Selenium-Dependent CqGPx3 Isoforms in the Crayfish Cherax quadricarinatus under High Temperature and Hypoxia.

Glutathione peroxidase 3 (GPx3) is the only extracellular selenoprotein (Sel) that enzymatically reduces H2O2 to H2O and O2. Two GPx3 (CqGPx3) cDNAs were characterized from crayfish Cherax quadricarinatus. The nerve cord CqGPx3a isoform encodes for a preprotein containing an N-terminal signal peptide of 32 amino acid residues, with the mature Sel region of 192 residues and a dispensable phosphorylation domain of 36 residues. In contrast, the pereiopods CqGPx3b codes for a precursor protein with 19 residues in the N-terminal signal peptide, then the mature 184 amino acid residues protein and finally a Pro-rich peptide of 42 residues. CqGPx3 are expressed in cerebral ganglia, pereiopods and nerve cord. CqGPx3a is expressed mainly in cerebral ganglia, antennulae and nerve cord, while CqGPx3b was detected mainly in pereiopods. CqGPx3a expression increases with high temperature and hypoxia; meanwhile, CqGPx3b is not affected. We report the presence and differential expression of GPx3 isoforms in crustacean tissues in normal conditions and under stress for high temperature and hypoxia. The two isoforms are tissue specific and condition specific, which could indicate an important role of CqGPx3a in the central nervous system and CqGPx3b in exposed tissues, both involved in different responses to environmental stressors.