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Aconitate Hydratase

Aconitate hydratase, also known as aconitase, is an enzyme that catalyzes the reversible isomerization of citrate to isocitrate via the intermediate compound cis-aconitate.
This enzyme plays a crucial role in the tricarboxylic acid cycle, a key metabolic pathway in aerobic organisms.
Aconitate hydratase is found in the mitochondria of eukaryotic cells and the cytoplasm of prokaryotic cells.
Malfunction or deficiency of this enzyme can lead to various metabolic disorders, making it an important target for biomedical research.
Optimizing experimental protocols and identifiying optimal reagents for studyijng aconitate hydratase is crucial for enhancing reproducibility and accuracy in this field.

Most cited protocols related to «Aconitate Hydratase»

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Publication 2016
Aconitate Hydratase bicinchoninic acid Biological Assay Diptera Electricity isolation Mitochondria Oligonucleotide Primers Proteins Proteolysis Reducing Agents RNA, Messenger SDS-PAGE Tritium trizol Western Blot

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Publication 2012
Aconitate Hydratase Carbon fluoroacetic acid, sodium salt Gas Chromatography-Mass Spectrometry Glucose Glutamine Metabolism Parasites
The first assay measures succinyl-CoA ligase, SDH, glutamate dehydrogenase (GDH), fumarase, and malate dehydrogenase (MDH) (see below; Fig. 1). This assay is performed in 400 μl of medium A containing 50 mM KH2PO4 (pH 7.2) and 1 mg/ml BSA. The reduction of dichlorophenol indophenol (DCPIP) is measured using two wavelengths (600 nm and 750 nm) with various substrates and the electron acceptors decylubiquinone and phenazine methosulfate. The second assay measures α-ketoglutarate dehydrogenase (KDH), aconitase, and isocitrate dehydrogenase (IDG) activities. The same volume of the same medium is used, and pyridine nucleotide (NAD+/NADP+) reduction is measured with various substrates using wavelengths of 340 nm and 380 nm. In the third assay, citrate synthase is measured by monitoring dithionitrobenzene (DTNB; Ellman's reagent) reduction at wavelengths of 412 nm and 600 nm as previously described[19 (link)]. For this study, all measurements were carried out using a Cary 50 spectrophotometer (Varian Inc., Palo Alto, CA) equipped with an 18-cell holder maintained at 37°C. Protein was measured according to Bradford [31 (link)]. All chemicals were of the highest grade from Sigma Chemical Company (St Louis, MO).
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Publication 2010
2,3-dimethoxy-5-methyl-6-decyl-1,4-benzoquinone 2,6-Dichloroindophenol Aconitate Hydratase Biological Assay Cells Citrate (si)-Synthase Dithionitrobenzoic Acid Fumarate Hydratase Glutamate Dehydrogenase Isocitrate Dehydrogenase (NAD+) Ketoglutarate Dehydrogenase Complex Malate Dehydrogenase Methylphenazonium Methosulfate NADP Nucleotides Oxidants Proteins Pyridines Succinate-CoA Ligases
To determine phylogenetic relationships and estimate divergence times,
we obtained the public Wolbachia group-B genomes of:
wAlbB that infects Aedes albopictus (Mavingui et al. 2012 (link)),
wPip_Pel that infects Culex pipiens (Klasson et al. 2008 (link)),
wPip_Mol that infects Culex molestus (Pinto et al. 2013 (link)), wNo
that infects Drosophila simulans (Ellegaard et al. 2013 (link)), and wVitB
that infects Nasonia vitripennis (Kent et al. 2011 (link)); in addition to group-A genomes of:
wMel that infects D. melanogaster (Wu et al. 2004 (link)), wSuz
that infects D. suzukii (Siozios et al. 2013 ), four Wolbachia that infect
Nomada bees (wNFe, wNPa,
wNLeu, and wNFa; Gerth and Bleidorn 2016 ), and three
Wolbachia that infect D. simulans(wRi, wAu and wHa; Klasson et al. 2009 ; Sutton et al. 2014 (link); Ellegaard et al. 2013 (link)).
The previously published genomes and the five wMau-infected
D. mauritiana genomes were annotated with Prokka v. 1.11,
which identifies homologs to known bacterial genes (Seemann 2014 (link)). To avoid pseudogenes and paralogs, we
used only genes present in a single copy, and with no alignment gaps, in all of
the genome sequences. Genes were identified as single copy if they uniquely
matched a bacterial reference gene identified by Prokka v. 1.11. By requiring
all homologs to have identical length in all of the draft
Wolbachia genomes, we removed all loci with indels. 153
genes, a total of 123,720 bp, met these criteria when comparing all of these
genomes. However, when our analysis was restricted to the five
wMau genomes, our criteria were met by 686 genes, totaling
696,312 bp. Including wNo with the five wMau
genomes reduced our set to 651 genes with 655,380 bp. We calculated the percent
differences for the three codon positions within wMau and
between wMau and wNo.
We estimated a Bayesian phylogram of the Wolbachiasequences with RevBayes 1.0.8 under the GTR + Γ model, partitioning by
codon position (Höhna et al.
2016
). Four independent runs were performed, which all agreed.
We estimated a chronogram from the Wolbachia sequences
using the absolute chronogram procedure implemented in Turelli et al. (2018) (link). Briefly, we generated a
relative relaxed-clock chronogram with the GTR + Γ model with the root
age fixed to 1 and the data partitioned by codon position. The relaxed clock
branch rate prior was Γ(2,2). We used substitution-rate estimates of
Γ(7,7) × 6.87×10−9substitutions/3rd position site/year to transform the relative
chronogram into an absolute chronogram. This rate estimate was chosen so that
the upper and lower credible intervals matched the posterior distribution
estimated by Richardson et al. (2012) (link),
assuming 10 generations/year, normalized by their median estimate of
6.87×10−9 substitutions/3rd position
site/year. Although our relaxed-clock analyses allow for variation in
substitution rates across branches, our conversion to absolute time depends on
the unverified assumption that the median substitution rate estimated by Richardson et al. (2012) (link) for
wMel is relevant across these broadly diverged
Wolbachia. (To assess the robustness of our conclusions to
model assumptions, we also performed a strict-clock analysis and a relaxed-clock
analysis with branch-rate prior Γ(7,7).) For each analysis, four
independent runs were performed, which all agreed. Our analyses all support
wNo as sister to wMau.
We also estimated a relative chronogram for the host species using the
procedure implemented in Turelli et al.
(2018)
. Our host phylogeny was based on the same 20 nuclear genes
used in Turelli et al. (2018) (link):
aconitase, aldolase, bicoid, ebony, enolase, esc, g6pdh, glyp, glys,
ninaE, pepck, pgi, pgm, pic, ptc, tpi, transaldolase, white,
wingless
and yellow.
Publication 2019
Aconitate Hydratase Aedes Bees Codon Culex Diospyros Drosophila melanogaster Drosophila simulans Enolase Fructosediphosphate Aldolase Genes Genes, Bacterial Genome Host Specificity INDEL Mutation Phosphoenolpyruvate Carboxylase Pseudogenes Renal Glycosuria Transaldolase Wolbachia
All procedures were approved by the Animal Care and Use Committee of Boston Children’s Hospital. We performed complete blood count and Wright-Geimsa analyses on peripheral blood recovered from adult pnt. Genetic mapping and positional cloning were utilized to identify zgc: 162207 (atpif1a) as the candidate gene for the pnt locus on zebrafish Chr. 19. We employed qRT-PCR using TaqMan gene expression assays (Applied Biosystems, Carlsbad, CA) to measure levels of atpif1a and atpif1b mRNA. Morpholinos (Gene Tools, Philomath, OR) against splice-site of atpif1a and atpif1b were designed and injected in WT embryos to verify loss-of-function phenotype. The cRNA for atpif1a, atpif1a-E26A, and atpif1b were injected in pnt embryos for complementation. The cDNA prepared from WT and pnt embryos was sequenced, and the polymorphism in the 3′UTR of the atpif1a sequence was verified using SSCP gels.
We silenced Atpif1 in hCD34+, MPFL and MEL using shRNAs. The Atpif1-silenced, differentiated hCD34+ and MEL cells were stained with o-dianisidine to measure hemoglobinized cells, while MPFL cells were treated with Drabkin’s reagent to measure relative hemoglobin content. The loss of Atpif1 protein and the state of mitochondrial structural proteins in MEL cells were verified using western and electron microscopic analyses. We analyzed fluorescent intensities of TMRE as a function of mitochondrial membrane potential, Mg green as a function of ATP levels, and ratio of carboxy SNARF-1 to Mitotracker green as a function of the mitochondrial matrix pH8 (link), 12 (link).
We prepared 59Fe-saturated transferrin, and measured 59Fe incorporated in mitochondria and complexed in heme using a gamma counter. We examined PPIX levels and the catalytic efficiency of Fech in MEL cells using spectrophotometric analysis. The MEL cells were treated with FCCP and 2,4-DNP, followed by analysis for hemoglobinized cells. Human and yeast Fech were treated with DTN, and subsequently their catalytic efficiency were measured. Aconitase activity was determined as a measure of [2Fe-2S] cluster levels29 (link). The cRNA for zebrafish Fech or yeast Fech was injected in pnt embryos, and their efficiency to rescue the anemia in pnt was measured using o-dianisidine staining and verified by using SSCP analysis10 (link). Statistical analyses were performed by paired or un-paired t-test. Significance was set at p<0.05.
Publication 2012
Aconitate Hydratase Adult Anemia Animals Biological Assay Carbonyl Cyanide p-Trifluoromethoxyphenylhydrazone carboxy-seminaphthorhodaminefluoride Catalysis Cells Complementary RNA Complete Blood Count Dianisidine DNA, Complementary Electron Microscopy Embryo Gamma Rays Gels Gene Expression Genes Genetic Loci Genetic Polymorphism Hematologic Tests Heme Hemoglobin Homo sapiens Membrane Potential, Mitochondrial Mitochondria Mitochondrial Proteins Morpholinos Phenotype Proteins protoporphyrin IX RNA, Messenger Saccharomyces cerevisiae Short Hairpin RNA Single-Stranded Conformational Polymorphism Spectrophotometry Transferrin Zebrafish

Most recents protocols related to «Aconitate Hydratase»

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
Blood and urine samples were collected from each subject after INS diagnosis and before steroid treatment. A total of 87 variables were collected (Supplementary Table 1). Demographic characteristics were collected, including age, sex, and weight. By hematological tests, 43 variables were analyzed, including white blood cell counts, percentage of neutrophils, percentage of lymphocytes, hemoglobin, platelet, C-reactive protein, ESR, total protein, albumin, globulin, alanine aminotransferase, aspartate aminotransferase, serum creatinine, urea, serum cystatin c, serum β2-MG, triglyceride, cholesterol, antistreptococcal hemolysin O, prolonged prothrombin time, fibrinogen, prolonged activated partial thromboplastin time, prolonged thrombin time, D-dimer, IgG, IgA, IgM, C3, C4, retinol conjugated protein, total IgE, IL-2, IL-4, IL-6, IL-10, TNF, IFN-γ, CD19%, CD3%, CD4%, CD8%, CD3-CD16+CD56+%, and CD4/CD8. By urine tests, 25 variables were analyzed, including urine occult blood, urine protein, urine specific gravity, urinary RBC, urinary WBC, urinary microprotein, 24-hour urine protein, urinary microalbumin, urinary α1-MG, urinary β2-MG, urinary transferrin, urinary retinol conjugated protein, urinary IgG, uric acid, 24-hour uric acid, urinary protein/creatinine, urinary calcium, 24-hour urinary calcium, urinary calcium/creatinine, urinary microalbumin/creatinine, urinary α1-MG/creatinine, urinary β2-MG/creatinine, urinary transferrin/creatinine, urinary retinol conjugated protein/creatinine, and urinary IgG/creatinine. A total of 17 autoantibodies to podocyte proteins were detected, including talin-1 (Tln1), moesin (Msn), myosin light chain 1 (Myh1), vinculin (Vcl), aconitate hydratase, mitochondrial (Aco2), cytoskeleton-associated protein 4 (Ckap4), desmoglein 1 (Dsg1), proteasome subunit alpha type-1 (Psma1), F-actin-capping protein subunit beta (Capzb), filamin-A (Flna), plectin (Plec), heat shock protein HSP 90-beta (Hs90a), peptidyl-prolyl cis-trans isomerase D (Ppid), peroxiredoxin-1 (Prdx1), alpha-enolase (Eno1), neuroblast differentiation-associated protein AHNAK (Ahnak), and serine/arginine-rich splicing factor 9 (Sfrs).
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Publication 2023
Aconitate Hydratase Activated Partial Thromboplastin Time Albumins Arginine Aspartate Transaminase Autoantibodies beta-Actin BLOOD Blood, Occult Blood Platelets Calcium Cholesterol C Reactive Protein Creatinine Cytoskeletal Proteins D-Alanine Transaminase Desmoglein 1 Diagnosis ENO1 protein, human Factor IX fibrin fragment D Fibrinogen Filamin A Globulins Hematologic Tests Hematuria Hemoglobin Hemolysin Hsp90beta protein, human IL10 protein, human Interferon Type II Leukocyte Count Lymphocyte Mitochondria moesin Multicatalytic Endopeptidase Complex Myosin Light Chains Neutrophil Peroxiredoxin I Plectin Podocytes Post-gamma-Globulin PPID protein, human Proteins Protein Subunits Serine Serum Steroids Talin Times, Prothrombin Times, Reptilase Transferrin Triglycerides Urea Uric Acid Urinalysis Urine Vinculin Vitamin A
Aconitase activities of YG8JR and Y47JR heart and cerebellum tissues (n = 8 each group) were determined using the Aconitase assay kit (Cayman Chemical Company, MI, United States) and normalized to citrate synthase activities determined using a Citrate Synthase assay kit (Sigma, MO, United States), as previously described (Sandi et al., 2014 (link); Anjomani Virmouni et al., 2015b (link)). All experiments were performed in triplicates and protein concentrations were determined using Pierce BCA assay (Thermo Fisher). The absorbance detection was carried out using CLARIOstar Microplate Reader (BMG LABTECH, Aylesbury, United Kingdom).
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Publication 2023
Aconitate Hydratase Biological Assay Caimans Cerebellum Citrate (si)-Synthase Heart Proteins Tissues

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Publication 2023
Aconitate Hydratase Biological Assay Bromphenol Blue Buffers Cells Cerebral Hemispheres Cytoplasm Dura Mater Edetic Acid Egtazic Acid Freezing GAPDH protein, human Gels Glycerin HEPES Immunoglobulins Mannitol Milk, Cow's Mitochondria Mus Nitrocellulose Nonidet P-40 Pellets, Drug Post-Translational Protein Processing Proteins Rabbits Saline Solution SERPINA1 protein, human Sodium Chloride Sucrose Tissue, Membrane Tissues Tromethamine Tween 20
An aconitase-340 assay kit (OxisResearch, Portland, OR, USA) was used to detect NADPH formation during the oxidation of isocitrate to α-ketoglutarate. Mitochondria (50 μl) were thoroughly blended with the substrate (50 μl of trisodium citrate, pH 7.4), enzyme (50 μl of isocitrate dehydrogenase), and NADP+ reagent (50 μl). The mixture was cultivated at 37 °C for 15 min, and the absorbance at 340 nm was then measured23 (link).
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Publication 2023
Aconitate Hydratase alpha-Ketoglutaric Acid Biological Assay Enzymes Isocitrate Dehydrogenase (NAD+) Isocitrates Mitochondria NADP trisodium citrate

Top products related to «Aconitate Hydratase»

Sourced in United States
The Aconitase Assay Kit is a laboratory tool designed to measure the activity of the enzyme aconitase, which is involved in the citric acid cycle. The kit provides the necessary reagents and protocols to quantify the enzymatic activity of aconitase in various sample types.
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The Aconitase Activity Assay Kit is a laboratory equipment product designed to measure the activity of the enzyme aconitase. Aconitase is a key enzyme in the citric acid cycle, which is a central metabolic pathway. The kit provides the necessary reagents and protocols to quantify aconitase activity in a variety of sample types, including cell lysates, tissue homogenates, and purified enzyme preparations.
Sourced in United States
The Citrate Synthase Assay Kit is a laboratory instrument designed to measure the activity of the enzyme citrate synthase. Citrate synthase is a key enzyme involved in the citric acid cycle, a metabolic pathway that plays a crucial role in cellular energy production. The assay kit provides the necessary reagents and protocols to quantify citrate synthase activity in various biological samples.
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The Aconitase Assay Kit is a laboratory tool designed to measure the activity of the enzyme aconitase. Aconitase is a key enzyme in the citric acid cycle, which is a crucial metabolic pathway. The kit provides reagents and a protocol to quantify aconitase levels in biological samples.
The MAK051 is a laboratory equipment product manufactured by Merck Group. It is designed for conducting specific analytical procedures in a research or testing environment. The core function of the MAK051 is to perform tasks related to the analysis and measurement of samples, but a detailed description of its intended use cannot be provided without the risk of bias or extrapolation.
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The Aconitase Activity Colorimetric Assay Kit is a laboratory tool designed to measure the activity of the enzyme aconitase. Aconitase is an important enzyme involved in the citric acid cycle, a key metabolic pathway. This kit provides a colorimetric-based method to quantify aconitase activity in biological samples.
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The Aconitase Assay Kit is a laboratory tool designed to measure the activity of the enzyme aconitase. Aconitase is an essential component of the citric acid cycle, playing a crucial role in cellular energy production. The kit provides reagents and protocols to quantify aconitase activity in various sample types, enabling researchers to study this important enzyme and its function in biological systems.
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Isocitrate dehydrogenase is an enzyme that catalyzes the oxidative decarboxylation of isocitrate to 2-oxoglutarate. It plays a key role in the citric acid cycle, which is a central metabolic pathway in various organisms.
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More about "Aconitate Hydratase"

Aconitate hydratase, also known as aconitase, is a crucial enzyme that plays a pivotal role in the tricarboxylic acid (TCA) cycle, a fundamental metabolic pathway in aerobic organisms.
This enzyme catalyzes the reversible isomerization of citrate to isocitrate, with the intermediate compound cis-aconitate.
Aconitate hydratase is found in the mitochondria of eukaryotic cells and the cytoplasm of prokaryotic cells.
Malfunction or deficiency of this enzyme can lead to various metabolic disorders, making it an important target for biomedical research.
Optimizing experimental protocols and identifying optimal reagents for studying aconitate hydratase is crucial for enhancing reproducibility and accuracy in this field.
Aconitase Assay Kits and Aconitase Activity Assay Kits are valuable tools for measuring the activity of this enzyme, while Citrate Synthase Assay Kits can provide additional insights into the TCA cycle.
The compound MAK051 has been used to study aconitate hydratase, and Aconitase Activity Colorimetric Assay Kits offer a convenient way to quantify enzyme activity.
Isocitrate dehydrogenase, another key enzyme in the TCA cycle, is often studied in conjunction with aconitate hydratase.
Additionally, Image Lab software can be used to analyze and visualize experimental data related to aconitate hydratase.
By leveraging the power of PubCompare.ai, researchers can optimize their aconitate hydratase studies by identifying the best protocols, reagents, and approaches from the literature, preprints, and patents.
This AI-driven platform enables enhanced reproducibility and accuracy, taking your aconitate hydratase research to new heights.