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Oxidoreductase

Oxidoreductases are a class of enzymes that catalyze oxidation-reduction reactions, playing a crucial role in various biological processes.
These enzymes transfer electrons or hydrogen atoms from one molecule (the reductant) to another (the oxidant), facilitating essential metabolic pathways.
Oxidoreductases are involved in a wide range of functions, including energy production, biosynthesis, and environmental detoxification.
Understanding the structure, function, and regulation of these enzymes is crucial for advancing research in fields such as biochemistry, molecular biology, and medicine.
Studying Oxidoreductases can lead to the development of new therapeutic interventions, improved industrial processes, and a better understanding of the complex mechanisms that sustain life.

Most cited protocols related to «Oxidoreductase»

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Publication 2016
Cuboid Bone dihydrofolate Diphosphates Electrostatics Friction glucosyltransferase D Halogens Homo sapiens Hydrogen Hydrogen Bonds inhibitors Ligands Mitogen-Activated Protein Kinase 10 NADP NADPH Dehydrogenase Oxidoreductase Pressure Proteins Sodium Chloride Staphylococcus aureus Tetrahydrofolate Dehydrogenase Thrombin Thymidine
A total of 15 candidate reference genes were evaluated. These genes were chosen based on their previous use in watermelon or their validation as best reference genes in other crops, including 18S ribosomal RNA (18SrRNA), β-actin (ACT), clathrin adaptor complex subunit (CAC), elongation factor 1-α (EF1α), glyceraldehy-3-phosphate-dehydrogenase (GAPDH), NADP-isocitrate dehydrogenase (IDH), leunig (LUG), protein phosphatase 2A regulatory subunit A (PP2A), polypyrimidine tract-binding protein 1 (PTB), ribosomal protein S (RPS2), SAND family protein (SAND), α-tubulin (TUA), ubiquitin-conjugating enzyme E2 (UBC2), ubiquitin carrier protein (UBCP), and yellow-leaf-specific proein8 (YLS8).
For each candidate reference gene, blastn was carried out in the Cucurbit Genomics Database (http://www.icugi.org) against watermelon coding DNA sequences (CDS) (v1) using Arabidopsis homolog as a query. The CDS of the best hit was retrieved and uploaded to Primer3Plus (http://primer3plus.com/cgi-bin/dev/primer3plus.cgi) for primer design. The product size was set at the range of 80 bp to 150 bp. The forward and reverse primers were intentionally targeted on the adjoining exons, which were separated by an intron. The generated primer pair for each gene was then aligned against all watermelon CDS to confirm its specificity in silico. The specificity of the PCR amplification product for each primer pair was further determined by electrophoresis in 2% agarose gel and melting curve analysis. Finally, the watermelon species name abbreviation of ‘Cl’ was added as a prefix to the specificity-validated gene to specify the watermelon orthologous gene. For more comparable results, the primer pair of 18SrRNA, which was previously published, was used in this study [2] (link). Data on the selected reference genes and their amplification characters are listed in Table 1.
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Publication 2014
Actins Agricultural Crops alpha-Tubulin Arabidopsis Character Clathrin Adaptors EEF1A2 protein, human Electrophoresis Exons Genes Genes, vif Introns Isocitrate Dehydrogenase (NAD+) Isocitrates NADP NADPH Dehydrogenase Oligonucleotide Primers Open Reading Frames Oxidoreductase Phosphates Phosphoric Monoester Hydrolases Plant Leaves Polypyrimidine Tract-Binding Protein PPP2R4 protein, human Protein S Proteins Protein Subunits Ribosomes RNA, Ribosomal, 18S Sepharose Staphylococcal Protein A Ubiquitin-Conjugating Enzymes Watermelon
A 16S rRNA gpkg was created from the 2013/08 public release of the Greengenes database (33 (link)). GraftM create was run using these sequences and the taxonomy-decorated phylogenetic tree for the 97% nucleotide identity representative OTU set (ftp://greengenes.microbio.me/greengenes_release/gg_13_8_otus). Ribosomal protein gpkgs. Gpkgs were created for ribosomal proteins by starting with the set of HMMs included with PhyloSift (20 (link)). These HMMs were used to search with HMMER, using an E-value cutoff of 1e–40, against the set of finished and permanent draft proteomes from the IMG (34 (link)) that were >90% complete and <5% contaminated according to CheckM v1.0.5 (35 (link)). To prevent contaminated genomes introducing error into the taxonomic annotations, only those genomes where a single hit was found were utilized. To limit the effect of taxonomic bias toward lineages with a greater number of sequenced genomes, only a single protein from each species (one representative per species, using a type strain where possible and including all those without species level taxonomic classification) were used. Proteomes were searched using GraftM graft using default parameters, after which 15 ribosomal markers were determined to be single copy on the basis of their being detected as having a single hit in >5900 of the 6215 genomes. GraftM packages for the 15 protein-coding genes were generated with GraftM create using those sequences found in single copy, a previously generated HMM and the corresponding IMG taxonomy for each genome. Functional and taxonomic McrA gpkgs. Two gpkgs were constructed for the alpha subunit of the methyl coenzyme M reductase (mcra) gene. Amino acid sequences for the McrA protein family and paralogous MrtA sequences were sourced from IMG (February 2014) using the BLASTP tool provided online. Spurious hit sequences were removed by manual inspection. Genes for the Bathyarchaeotal (36 (link)) and Vertrataearchaeotal (37 (link)) orthologues were sourced from NCBI. The first taxonomy-annotated gpkg was created using the default GraftM create pipeline using the sequences and their associated genome taxonomy. The second was created by re-decorating the McrA tree with functional, rather than taxonomic information. This second tree was annotated according to their substrate utilization: acetoclastic (from acetate) comprised of the order Methanosarcinales; hydrogenotrophic (from hydrogen, carbon dioxide and/or formate), comprised of the Methanomicrobiales, Methanocellales, Methanococcales and Methanobacteriales; methylotrophic (from methylated compounds) comprised of the Methanomassiliicoccales, Methanofastidiales and Vertrataearchaeota. Lineages within the Bathyarchaeota were recently found to encode mcra, though their metabolism is not yet confirmed. These sequences were included in the gpkg, but left unannotated. The McrA tree was curated with these functional groupings using ARB (38 (link)), with the exception of the Methanosarcina which are thought to be capable of producing methane from all three substrate groups (39 (link)). The Methanosarcinaceae were annotated as a clade separate to the exclusively acetoclastic Methanosaetaceae.
Publication 2018
Acetate Amino Acid Sequence Carbon dioxide formate Gene Products, Protein Genes Genome Glycoprotein Hormones, alpha Subunit Grafts Hydrogen Hypertelorism, Severe, With Midface Prominence, Myopia, Mental Retardation, And Bone Fragility Metabolism Methane Methanobacteriales Methanococcales Methanomicrobiales Methanosaetaceae Methanosarcina Methanosarcinaceae Methanosarcinales methyl coenzyme M reductase Nucleotides Oxidoreductase Proteins Protein Subunits Proteome Ribosomal Proteins Ribosomes RNA, Ribosomal, 16S Staphylococcal Protein A Strains Trees

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Publication 2020
Adrenal Cortex Hormones COVID 19 Fever Heart Injuries Hospitalization Hyperglycemia Infection Lactose Leukocyte Count lopinavir-ritonavir drug combination Oxidoreductase Patients Pharmacotherapy umifenovir
In this phase 3, multicenter, randomized, double-blind, placebo-controlled trial, patients with SLE on SOC therapy were assigned to receive placebo, or belimumab 1 or 10 mg/kg by intravenous (IV) infusion over 1 hour on days 0, 14, and 28, and every 28 days through week 72. While the initiation of an immunosuppressive (IS) drug was prohibited during the trial, the addition of a new antimalarial (AM) drug and dose increases of concomitant IS or AM drugs were permitted until week 16. After week 16, however, the maximum doses of IS or AM drugs could be no greater than the higher of the baseline or week-16 dose. For corticosteroids, any dose was permitted through week 24; thereafter through week 44, the dose had to be within 25% or 5 mg of baseline. Between weeks 44 and 52, no increase over the higher of the baseline or week-44 dose was permitted. From weeks 52 through 68, the dose had to be within 25% or 5 mg of baseline, and an increase over the higher of the baseline or week-68 dose was prohibited after week 68. Prednisone could be reduced at the discretion of the investigator. As in the companion phase 3 BLISS-52 trial, the addition of a new biologic agent at any time, an inhibitor of the renin-angiotensin system after 4 months, or a new 3-hydroxy-3-methylglutaryl-coenzyme A reductase inhibitor after 6 months was prohibited; other antihypertensive or lipid-lowering agents were allowed during the study (17 (link)). The Safety of Estrogens in Lupus Erythematosus National Assessment–SLE Disease Activity Index (SELENA-SLEDAI) (18 (link)), Physician’s Global Assessment (PGA) (18 (link)), British Isles Lupus Assessment Group (BILAG) (19 (link),20 (link)), and SLE Flare Index (SFI) (21 (link)) were evaluated every 4 weeks (except weeks 56 and 64), as were AEs, vital signs, concomitant medications, and laboratory and pregnancy tests.
Publication 2011
Adrenal Cortex Hormones Angiotensins Antihypertensive Agents Antimalarials belimumab Biological Factors Coenzyme A Estrogens Hypolipidemic Agents Immunosuppressive Agents Intravenous Infusion Lupus Vulgaris Oxidoreductase Patients Pets Pharmaceutical Preparations Physicians Placebos Prednisone Pregnancy Tests Renin Inhibitors Safety Signs, Vital Therapeutics

Most recents protocols related to «Oxidoreductase»

Example 2

The next experiments asked whether inhibition of the same set of FXN-RFs would also upregulate transcription of the TRE-FXN gene in post-mitotic neurons, which is the cell type most relevant to FA. To derive post-mitotic FA neurons, FA(GM23404) iPSCs were stably transduced with lentiviral vectors over-expressing Neurogenin-1 and Neurogenin-2 to drive neuronal differentiation, according to published methods (Busskamp et al. 2014, Mol Syst Biol 10:760); for convenience, these cells are referred to herein as FA neurons. Neuronal differentiation was assessed and confirmed by staining with the neuronal marker TUJ1 (FIG. 2A). As expected, the FA neurons were post-mitotic as evidenced by the lack of the mitotic marker phosphorylated histone H3 (FIG. 2B). Treatment of FA neurons with an shRNA targeting any one of the 10 FXN-RFs upregulated TRE-FXN transcription (FIG. 2C) and increased frataxin (FIG. 2D) to levels comparable to that of normal neurons. Likewise, treatment of FA neurons with small molecule FXN-RF inhibitors also upregulated TRE-FXN transcription (FIG. 2E) and increased frataxin (FIG. 2F) to levels comparable to that of normal neurons.

It was next determined whether shRNA-mediated inhibition of FXN-RFs could ameliorate two of the characteristic mitochondrial defects of FA neurons: (1) increased levels of reactive oxygen species (ROS), and (2) decreased oxygen consumption. To assay for mitochondrial dysfunction, FA neurons an FXN-RF shRNA or treated with a small molecule FXN-RF inhibitor were stained with MitoSOX, (an indicator of mitochondrial superoxide levels, or ROS-generating mitochondria) followed by FACS analysis. FIG. 3A shows that FA neurons expressing an NS shRNA accumulated increased mitochondrial ROS production compared to EZH2- or HDAC5-knockdown FA neurons. FIG. 3B shows that FA neurons had increased levels of mitochondrial ROS production compared to normal neurons (Codazzi et al., (2016) Hum Mol Genet 25(22): 4847-485). Notably, inhibition of FXN-RFs in FA neurons restored mitochondrial ROS production to levels comparable to that observed in normal neurons. In the second set of experiments, mitochondrial oxygen consumption, which is related to ATP production, was measured using an Agilent Seahorse XF Analyzer (Divakaruni et al., (2014) Methods Enzymol 547:309-54). FIG. 3C shows that oxygen consumption in FA neurons was ˜60% of the level observed in normal neurons. Notably, inhibition of FXN-RFs in FA neurons restored oxygen consumption to levels comparable to that observed in normal neurons. Collectively, these preliminary results provide important proof-of-concept that inhibition of FXN-RFs can ameliorate the mitochondrial defects of FA post-mitotic neurons.

Mitochondrial dysfunction results in reduced levels of several mitochondrial Fe-S proteins, such as aconitase 2 (ACO2), iron-sulfur cluster assembly enzyme (ISCU) and NADH:ubiquinone oxidoreductase core subunit S3 (NDUFS3), and lipoic acid-containing proteins, such as pyruvate dehydrogenase (PDH) and 2-oxoglutarate dehydrogenase (OGDH), as well as elevated levels of mitochondria superoxide dismutase (SOD2) (Urrutia et al., (2014) Front Pharmacol 5:38). Immunoblot analysis is performed using methods known in the art to determine whether treatment with an FXN-RF shRNA or a small molecule FXN-RF inhibitor restores the normal levels of these mitochondrial proteins in FA neurons.

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Patent 2024
Aconitate Hydratase Biological Assay Cells Cloning Vectors Enzymes EZH2 protein, human frataxin Genets HDAC5 protein, human Histone H3 Immunoblotting Induced Pluripotent Stem Cells inhibitors Iron Ketoglutarate Dehydrogenase Complex Mitochondria Mitochondrial Inheritance Mitochondrial Proteins MitoSOX NADH NADH Dehydrogenase Complex 1 NEUROG1 protein, human Neurons Oxidoreductase Oxygen Consumption Proteins Protein Subunits Psychological Inhibition Pyruvates Reactive Oxygen Species Repression, Psychology Seahorses Short Hairpin RNA Sulfur sulofenur Superoxide Dismutase Superoxides Thioctic Acid Transcription, Genetic

Example 5

Three tobacco lines, FC401 wild type (Wt); FC40-M207 mutant line fourth generation (M4) and FC401-M544 mutant line fourth generation (M4) were used for candidate gene screening. Low anatabine traits were confirmed for the two tobacco mutant lines (M207 and M544) in root and leaf before screening (see FIG. 3).

RNA was extracted from root tissues of wild type (Wt) FC401, M207 and M544 with RNeasy Plus Mini kit from Quiagen Inc. following the manufacturer's protocol. cDNA libraries were prepared from the RNAs using In-Fusion® SMARTer® Directional cDNA Library Construction Kit from Clontech Inc. cDNA libraries were diluted to 100 ng/μl and used as the template for candidate gene PCR screening.

PCR amplifications were performed in 50 μl final volumes that contained 50-100 ng of template DNA (i.e., the cDNA library) and 0.2 μM of primers (Fisher Scientific) using the Platinum® Taq DNA Polymerase High Fidelity kit (Life Technology Inc.). Thermocycling conditions included a 5 min incubation at 94° C.; followed by 34 cycles of 30 seconds at 94° C., 30 seconds at 58° C., 1 min 30 seconds at 68° C.; with a final reaction step of 68° C. for 7 mins. The PCR products were evaluated by agarose gel electrophoresis, and desired bands were gel purified and sequenced using an ABI 3730 DNA Analyzer (ABI).

51 candidate genes (listed in Table 4) were cloned from F401, Wt, M207 and M544 lines, and sequenced for single nucleotide polymorphism (SNP) detection.

TABLE 4
Listing of Candidate Genes for Screening
Quinolinate Synthase A-1Pathogenesis related protein 1
Allene oxide synthaseAllene oxide cyclase
ET861088.1 Methyl esteraseFH733463.1 TGACG-sequence specific transcription factor
FH129193.1 Aquaporin-TransportFH297656.1 Universal stress protein
Universal stress protein Tabacum sequenceFH077657.1 Scarecrow-like protein
FH864888.1 EIN3-binding F-box proteinFH029529.1 4,5 DOPA dioxygenase
FI010668.1 Ethylene-responsive transcription EB430189 Carboxylesterase
factor
DW001704 Glutathione S transferaseEB683763 Bifunctional inhibitor/lipid transfer protein/seed
storage 2S albumin
DW002318 Serine/threonine protein kinaseDW004086 Superoxide dismutase
DW001733 Lipid transfer protein DIRIDW001944 Protein phosphatase 2C
DW002033EB683763 Bifunctional inhibitor/lipid transfer protein/seed
storage 2S albumin
DW002318 Serine/threonine protein kinaseDW002576 Glycosyl hydrolase of unknown function DUF1680
EB683279EB683763
EB683951FG141784 (FAD Oxidoreductase)
BBLa-Tabacum sequencesBBLb
BBLeBBLd
PdrlPdr2
Pdr3Pdr5a
Pdr5bNtMATEl
NtMATE2NtMATE3
WRKY8EIG-I24
WRKY3WRKY9
EIG-E17AJ748263.1 QPT2 quinolinate phosphoribosyltransferase
AJ748262.1 QPT1

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Patent 2024
Albumins allene oxide cyclase allene oxide synthase Amino Acid Sequence anatabine Carboxylesterase cDNA Library Dioxygenases Dopa Electrophoresis, Agar Gel Esterases Ethylenes Genes Glutathione S-Transferase Heat Shock Proteins Histocompatibility Testing Hydrolase lipid transfer protein Neoplasm Metastasis Nicotiana Nicotinate-nucleotide pyrophosphorylase (carboxylating) NOS1 protein, human Oligonucleotide Primers Oxidoreductase pathogenesis Plant Leaves Plant Roots Platinum Protein-Serine-Threonine Kinases Protein-Threonine Phosphatase Protein Kinases protein methylesterase Protein Phosphatase Protein Phosphatase 2C Proteins Quinolinate RNA Single Nucleotide Polymorphism Superoxide Dismutase Synapsin I Taq Polymerase Transcription, Genetic Transcription Factor Transfer Factor Water Channel
Not available on PMC !

Example 2

This example demonstrates that statins alleviate LS membrane remodeling phenotypes.

Statins decrease cholesterol (Cho) biosynthesis by inhibiting 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase (FIG. 2A and McFarland et al., Int J Mol Sci 15: 20607-20637 (2014)); consequently, they also down-modulate the downstream synthesis of two intermediates (farnesyl-pyrophosphate and geranyl-geranyl-pyrophosphate) required for RhoA prenylation, which in turn is essential for GTPase membrane anchoring and activation (del Real et al., J Exp Med 200: 541-547 (2004); Demierre et al., Nat Rev Cancer 5: 930-942 (2005); and FIG. 2A). They also have been shown to be active against the RhoA hyperactivation observed in certain cancers (Zhong et al., Cancer Treat Rev 41: 554-567 (2015)).

Several generation statins (Maji et al., Indian J Endocrinol Metab 17: 636-646 (2013)), including fluvastatin, atorvastatin, pitavastatin and rosuvastatin, were tested for their ability to ameliorate LS spreading defects. All statins mitigated to a certain extent the LS spreading phenotype; however, rosuvastatin produced the best results (rosuvastatin>pitavastatin>>>simvastatin and others) in terms of maximizing rescue effect over needed dose and toxicity (FIG. 2B and data not shown).

Phenotype alleviation was observed following the use of an acute rosuvastatin dose (100 μM for 1 h), but similar effect was also evident using lower concentrations (1-10 μM) sustained over longer periods of time (≥72 h; FIG. 2B). Importantly, the latter usage scheme better emulated currently approved treatment conditions with statins that render an effective concentration of free drug in plasma of up to 10 μM (Bjorkhem-Bergman et al., Br J Clin Pharmacol 72: 164-165 (2011)). Following exposure to statins, viability and stress-induced changes in morphology were determined for LS cells (FIG. 2C). Our results showed that rosuvastatin had minimal toxicity, while other statins including pitavastatin and cerivastatin were substantially toxic (FIG. 2C, D). It should be noted that the latter was recalled from the market due to severe rhabdomyolysis effects (Maji et al. (2013), supra). In addition, and to monitor the magnitude of the statins' effects on HMG-CoA reductase in LS cells, we incubated patient fibroblasts in Cho-free media supplemented with vehicle or statins and determined the uptake of fluorescently labeled Cho. While vehicle-treated cells had normal production of endogenous Cho, the ones exposed to statins (due to their HMG-CoA reductase inhibitory activity) were Cho-depleted at a different extent as evidenced by a substantial increase in the uptake of exogenous, fluorescently labeled Cho (FIG. 2E). Our results suggested that rosuvastatin in addition to being less toxic at the chronic dose, led to a less acute inhibition of cholesterol biosynthesis (and consequently to a lower demand of exogenous, fluorescent-analog uptake). However, in contrast with the relatively innocuous chronic exposure (10 μM for ≥72 h), we observed that acute doses of rosuvastatin (100 μM) induced toxicity when exposure time≥15 h (data not shown).

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Patent 2024
Anabolism Atorvastatin Cells cerivastatin Cholesterol cholesterol reductase Coenzyme A farnesyl pyrophosphate Fibroblasts Fluvastatin geranylgeranyl pyrophosphate Guanosine Triphosphate Phosphohydrolases Lanugo Malignant Neoplasms Oculocerebrorenal Syndrome Oxidoreductase Patients Pharmaceutical Preparations Phenotype pitavastatin Plasma Prenylation Psychological Inhibition Rhabdomyolysis RHOA protein, human Rosuvastatin Simvastatin Tissue, Membrane Training Programs
Total RNA was extracted from LSCC specimens and cell lines of AMC-HN-8 and TU177 with Eastep®Super Total RNA Extraction Kit (Promega, USA) following the experimental instructions. RNA reverse transcription into cDNA was performed with Transcriptor First Strand cDNA Synthesis Kit (Roche, Germany). A GoTaq®qPCR Master Mix (Promega, USA) was used for the quantitative real-time PCR (qRT-PCR). Relative expression was normalized using the 2−∆∆Ct method and the glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was assigned into the endogenous control. Primer sequences were as follows:
PRAME, forward: 5′-CAGGACTTCTGGACTGTATGGT-3′;
reverse: 5′-CTACGAGCACCTCTACTGGAA-3′.
GAPDH, forward: 5′-CTCACCGGATGCACCAATGTT-3′;
reverse: 5′-CGCGTTTCACAATGTTCAT-3′.
All the samples were run in triplicate.
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Publication 2023
Anabolism Cell Lines DNA, Complementary Glyceraldehyde-3-Phosphate Dehydrogenases Glyceraldehyde 3-Phosphate glyceraldehyde reductase Oligonucleotide Primers Oxidoreductase Phosphates Promega Real-Time Polymerase Chain Reaction Reverse Transcription
A total of five genes were investigated in this study, namely: 1- vitellogenin (Vg), 2- major royal jelly protein 1 (mrjp1), 3- acetylcholine esterase 2 (AChE-2), 4- superoxide dismutase-like (Rsod) and 5- thioredoxin 1 (Trx-1). Sequences of the primers and their amplicon sizes are given in Table 1. Two-step reverse transcription quantitative PCR (RT-qPCR) using BioRad iTaq SYBER Green Supermix 2X was conducted on three biological and technical replicates per sample on five time points enabling a greater longitudinal analysis of gene regulation. cDNA was synthesized from RNA extractions using BioRad iScript Kit following the manufacturer’s protocol. Target genes were normalized against two housekeeping genes (GAPDH, RPS18) known for their stability in honey bee tissues38 (link),62 (link).

Target genes investigated in this study, housekeeping genes, primer sequences, amplicon size and NCBI accession numbers.

GeneDescriptionF/RbpNCBI Accession
Target
AChE-2Acetylcholinesterase-2

GACGCGAAGACCATATCCGT

TCTGTGTCCTTGAAGTCCGC

140NM_001040230.1
Mrjp1Major royal jelly protein 1

TGACCAATGGCATGATAAG

GACCACCATCACCGACCT

98NM_001011579.1
VgVitellogenin

AACGCTTTTACTGTTCGCGG

TATGCACGTCCGACAGATCG

128NM_001011578.1
RsodSuperoxide dismutase-like

GGAGCAGTATCTGCAATGGGA

CGCTACAAAACGTGGTGGTT

141XM_006558333.2
Trx-1Thioredoxin-1

AATGCACCGGCTCAAGAACA

CATGCGACAAGGATTGCACC

138XM_393603.7
Housekeeping
GAPDHGlyceraldehyde-3-phosphate dehydrogenase 2

TACCGCTTTCTGCCCTTCAA

GCACCGAACTCAATGGAAGC

142XM_393605.7
RPS1840S ribosomal protein S18

AATTATTTGGTCGCTGGAATTG

TAACGTCCAGCAGAATGTGGTA

238XM_625101.6
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Publication 2023
Acetylcholinesterase Biopharmaceuticals DNA, Complementary GAPDH protein, human Gene Expression Regulation Genes Genes, Housekeeping Genes, vif Honey Oligonucleotide Primers Oxidoreductase Phosphates Proteins Reverse Transcription Ribosomal Proteins royal jelly Superoxide Dismutase Thioredoxin 1 Vitellogenins

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More about "Oxidoreductase"

Oxidoreductases are a class of enzymes that play a crucial role in various biological processes.
These enzymes, also known as redox enzymes, catalyze oxidation-reduction reactions by transferring electrons or hydrogen atoms from one molecule (the reductant) to another (the oxidant).
This process facilitates essential metabolic pathways, including energy production, biosynthesis, and environmental detoxification.
Oxidoreductases are involved in a wide range of functions and can be further classified into different subgroups based on the specific reactions they catalyze.
For example, dehydrogenases catalyze the transfer of hydrogen, oxygenases incorporate oxygen into their substrates, and peroxidases utilize hydrogen peroxide as an oxidant.
Understanding the structure, function, and regulation of oxidoreductases is crucial for advancing research in fields such as biochemistry, molecular biology, and medicine.
Studying these enzymes can lead to the development of new therapeutic interventions, improved industrial processes, and a better understanding of the complex mechanisms that sustain life.
To study oxidoreductases, researchers often utilize various experimental techniques and reagents, such as the TRIzol reagent for RNA extraction, the MTT or Cell Counting Kit-8 (CCK-8) assays for cell viability and proliferation, and the RNeasy Mini Kit for RNA purification.
Additionally, microplate readers are commonly used to measure absorbance, fluorescence, or luminescence in these experiments.
The High-Capacity cDNA Reverse Transcription Kit is also often employed to convert RNA into cDNA for further analysis.
Dimethyl sulfoxide (DMSO) is another important reagent used in oxidoreductase research, as it can be used as a solvent for various compounds and can also modulate cellular responses.
TRIzol, a guanidinium thiocyanate-phenol-chloroform solution, is a widely used reagent for the isolation and purification of total RNA from a variety of sample types.
By leveraging the power of AI-driven platforms like PubCompare.ai, researchers can optimize their oxidoreductase studies by easily locating the best protocols from literature, preprints, and patents, enhancing reproducibility and accuracy.
This allows them to experience the future of oxidoreductase research and make new discoveries that can have a significant impact on our understanding of these crucial enzymes and their role in sustaining life.