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Oxidative Damage

Oxidative damage refers to the harmful effects of reactive oxygen species and other oxidants on the body's cells and tissues.
This process can lead to the dysfunction or destruction of important biomolecules like proteins, lipids, and DNA.
Oxidative damage has been linked to a variety of health conditions, including cancer, cardiovascular disease, neurodegenerative disorders, and aging.
Researchers studying oxidative damage may use advanced techniques like PubCompare.ai to identify the best protocols and products, saving time and improving the accuracy and reproducibility of their results.
This AI-driven tool analyzes the scientific literature, preprints, and patents to help researchers optimize their oxidative damage studies and experience the power of AI-driven reproducibility.

Most cited protocols related to «Oxidative Damage»

The adult brain slice method we have described has been successfully implemented in a variety of experimental contexts for analysis of diverse brain regions and cell types. However, we would encourage adopters to view this method as a work in progress, and we believe there is still substantial room for systematic improvement. As a case in point, we have observed that mature adult brain slices experience high levels of oxidative stress due in large part to rapid depletion of cellular antioxidants including ascorbate and reduced glutathione (GSH). This can lead to lipid peroxidation, neuronal membrane rigidity, and tissue deterioration. There appears to be a nonuniform susceptibility to this form of oxidative damage, for example, CA1 and CA3 pyramidal neurons are particularly vulnerable, making patch clamp recording of these cells difficult in brain slices from adult and aging animals in spite of the protective recovery method.
The specific restoration of intracellular pools of neuronal GSH (e.g. supplementation with the cell-permeable GSH-ethyl ester) is highly effective at curbing deterioration and prolonging slice viability under these circumstances. Thus, we have been able to further improve the NMDG recovery method by devising strategies for stimulating de novo synthesis of glutathione during acute brain slice preparation and incubation. This is most readily accomplished by adding the inexpensive GSH precursor N-acetyl-L-cysteine (NAC, 5–12 mM) to the NMDG aCSF and HEPES holding aCSF formulas, but not the recording aCSF (seeNote 14). NAC is cell-permeable and has been shown to specifically increase neuronal glutathione levels in brain tissue (26 (link)). Within 1–2 hours of slice preparation we are able to observe notable improvements in the general appearance of neurons and in the ease of patch clamp recording, and the slices are able to be maintained in a healthy state for extended time periods.
Although these more advanced methods are not absolutely required for successful adult brain slice patch clamp recordings (as demonstrated by the specific application we have described in this chapter), we include this information in hopes of providing more options to extend the versatility of our method for particularly challenging applications. Glutathione restoration is highly effective at maintaining healthy brain slices but may not be appropriate in every experimental context, e.g. investigations focusing on oxidative stress in the aging brain. On the other hand, without implementing the NMDG protective recovery method together with glutathione restoration strategy, targeted patch clamp analysis in brain slices from very old animals is prohibitively challenging.
Publication 2014
Acetylcysteine Adult Anabolism Animals Antioxidants Brain Cells Diet, Formula Esters Gastrin-Secreting Cells Glutathione HEPES Lipid Peroxidation Muscle Rigidity Neurons Oxidative Damage Oxidative Stress Permeability Protoplasm Pyramidal Cells Reduced Glutathione Susceptibility, Disease Tissue, Membrane Tissues
Immunofluorescence was used to observe mitochondrial fission and mitophagy using a mitochondria-specific Tom-20 antibody, a lysosome-specific LAMP1 antibody, and an LC3II antibody under laser scanning confocal microscopy (Nikon A1R, Japan). Western blot analysis of mitophagy-related proteins was also used to quantify mitophagy activity according to our previous studies.34 (link) The detail of other materials and methods, including histopathological analysis, immunohistochemistry, immunofluorescence, electron microscopy, qPCR, western blotting, coimmunoprecipitation, cellular apoptosis, oxidative injury, ATP production, mPTP opening, mitochondrial membrane potential (ΔΨm), and mtDNA copy/transcription detection, high-performance thin-layer chromatography analysis of cardiolipin, mitochondrial respiratory function evaluation, mitochondrial calcium ([Ca2+]m) detection, and RNA silencing are described in the Supplementary materials.
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Publication 2019
1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine Apoptosis Calcium Cardiolipins Cells Co-Immunoprecipitation DNA, Mitochondrial Electron Microscopy Immunofluorescence Immunoglobulins Immunohistochemistry lysosomal-associated membrane protein 1, human Lysosomes Membrane Potential, Mitochondrial Microscopy, Confocal, Laser Scanning Mitochondria Mitochondrial Fission Mitophagy Oxidative Damage Proteins Respiration Thin Layer Chromatography TOMM20 protein, human Transcription, Genetic Western Blot
For each sample, a PCR amplicon was created to serve as the template for Illumina sequencing. The steps used to generate the PCR amplicon for each of the seven sample types (fig. 2) are listed below. Once the PCR template was generated, for all samples the PCR amplicon was created using the amplicon PCR program described above in 50 μl reactions consisting of 25 μl of 2× KOD Hot Start Master Mix, 1.5 μl each of 10 μM of 5’-BsmBI-Aichi68-NP and 3’-BsmBI-Aichi68-NP, the indicated template, and ultrapure water. A small amount of each PCR reaction was run on an analytical agarose gel to confirm the desired band. The remainder was then run on its own agarose gel without any ladder (to avoid contamination) after carefully cleaning the gel rig and all related equipment. The amplicons were excised from the gels, purified over ZymoClean columns, and analyzed using a NanoDrop to ensure that the absorbance at 260 nm was at least 1.8 times that at 230 nm and 280 nm. The templates were as follows:

DNA: The templates for these amplicons were 10 ng of the unmutated independent plasmid preps used to create the codon mutant libraries.

mutDNA: The templates for these amplicons were 10 ng of the plasmid mutant libraries.

RNA: This amplicon quantifies the net error rate of transcription and reverse transcription. Because the viral RNA is initially transcribed from the reverse-genetics plasmids by RNA polymerase I, but the bidirectional reverse-genetics plasmids direct transcription of RNA by both RNA polymerases I and II (Hoffmann et al. 2000 (link)), the RNA templates for these amplicons were transcribed from plasmids derived from pHH21 (Neumann et al. 1999 (link)), which only directs transcription by RNA polymerase I. The unmutated WT and N334H NP genes were cloned into this plasmid to create pHH-Aichi68-NP and pHH-Aichi68-NP-N334H. Independent preparations of these plasmids were transfected into 293T cells, transfecting 2 μg of plasmid into 5 × 105 cells in six-well dishes. After 32 h, total RNA was isolated using Qiagen RNeasy columns and treated with the Ambion TURBO DNA-free kit (Applied Biosystems AM1907) to remove residual plasmid DNA. This RNA was used as a template for reverse transcription with AccuScript (Agilent 200820) using the primers 5’-BsmBI-Aichi68-NP and 3’-BsmBI-Aichi68-NP. The resulting cDNA was quantified by quantitative PCR (qPCR) specific for NP (see below), which showed high levels of NP cDNA in the reverse-transcription reactions but undetectable levels in control reactions lacking the reverse transcriptase, indicating that residual plasmid DNA had been successfully removed. A volume of cDNA that contained at least 2 × 106 NP cDNA molecules (as quantified by qPCR) was used as template for the amplicon PCR reaction. Control PCR reactions using equivalent volumes of template from the no reverse-transcriptase control reactions yielded no product.

virus-p1: This amplicon was derived from virus created from the unmutated plasmid and collected at the end of the first passage. Clarified virus supernatant was ultracentrifuged at 64,000 × g for 1.5 h at 4 °C, and the supernatant was decanted. Total RNA was then isolated from the viral pellet using a Qiagen RNeasy kit. This RNA was used as a template for reverse transcription with AccuScript using the primers 5’-BsmBI-Aichi68-NP and 3’-BsmBI-Aichi68-NP. The resulting cDNA was quantified by qPCR, which showed high levels of NP cDNA in the reverse-transcription reactions but undetectable levels in control reactions lacking the reverse transcriptase. A volume of cDNA that contained at least 107 NP cDNA molecules (as quantified by qPCR) was used as template for the amplicon PCR reaction. Control PCR reactions using equivalent volumes of template from the no reverse-transcriptase control reactions yielded no product.

virus-p2, mutvirus-p1, and mutvirus-p2: These amplicons were created as for the virus-p1 amplicons but used the appropriate virus as the initial template as outlined in figure 2.

An important note: It was found that the use of relatively new RNeasy kits with β-mercaptoethanol (a reducing agent), freshly added per the manufacturer’s instructions, was necessary to avoid what appeared to be oxidative damage to purified RNA.
The overall experiment only makes sense if the sequenced NP genes derive from a large diversity of initial template molecules. Therefore, qPCR was used to quantify the molecules produced by reverse transcription to ensure that a sufficiently large number were used as PCR templates to create the amplicons. The qPCR primers were 5’-Aichi68-NP-for (gcaacagctggtctgactcaca) and 3’-Aichi68-NP-rev (tccatgccggtgcgaacaag). The qPCR reactions were performed using the SYBR Green PCR Master Mix (Applied Biosystems 4309155) following the manufacturer’s instructions. Linear NP PCR-ed from the pHWAichi68-NP plasmid was used as a quantification standard—the use of a linear standard is important, because amplification efficiencies differ for linear and circular templates (Hou et al. 2010 (link)). The standard curves were linear with respect to the amount of NP standard over the range from 102 to 109 NP molecules. These standard curves were used to determine the absolute number of NP cDNA molecules after reverse transcription. Note that the use of only 25 thermal cycles in the amplicon PCR program provides a second check that there are a substantial number of template molecules, as this moderate number of thermal cycles will not lead to sufficient product if there are only a few template molecules.
To allow the Illumina sequencing inserts to be read in both directions by paired-end 50 nt reads (supplementary fig. S1, Supplementary Material online), it was necessary to us an Illumina library-prep protocol that created NP inserts that were roughly 50 nt in length. This was done via a modification of the Illumina Nextera protocol. First, concentrations of the PCR amplicons were determined using PicoGreen (Invitrogen P7859). These amplicons were used as input to the Illumina Nextera DNA Sample Preparation kit (Illumina FC-121-1031). The manufacturer’s protocol for the tagmentation step was modified to use 5-fold less input DNA (10 ng rather than 50 ng) and 2-fold more tagmentation enzyme (10 μl rather than 5 μl), and the incubation at 55 °C was doubled from 5 to 10 min. Samples were barcoded using the Nextera Index Kit for 96 indices (Illumina FC-121-1012). For index 1, the barcoding was DNA with N701, RNA with N702, mutDNA with N703, virus-p1 with N704, mutvirus-p1 with N705, virus-p2 with N706, and mutvirus-p2 with N707. After completion of the Nextera PCR, the samples were subjected to a ZymoClean purification rather than the bead cleanup step specified in the Nextera protocol. The size distribution of these purified PCR products was analyzed using an Agilent 200 TapeStation Instrument. If the NP sequencing insert is exactly 50 nt in size, then the product of the Nextera PCR should be 186 nt in length after accounting for the addition of the Nextera adaptors. The actual size distribution was peaked close to this value. The ZymoClean-purified PCR products were quantified using PicoGreen and combined in equal amounts into pools: A WT-1 pool of the seven samples for that library, a WT-2 pool of the seven samples for that library, etc. These pools were subjected to further size selection by running them on a 4% agarose gel versus a custom ladder containing 171 and 196 nt bands created by PCR from a GFP template using the forward primer gcacggggccgtcgccg and the reverse primers tggggcacaagctggagtacaac (for the 171 nt band) and gacttcaaggaggacggcaacatcc (for the 196 nt band). The gel slice for the sample pools corresponding to sizes between 171 and 196 nt was excised and purified using a ZymoClean column. A separate clean gel was run for each pool to avoid cross contamination.
Library QC and cluster optimization were performed using Agilent Technologies qPCR NGS Library Quantification Kit (Agilent Technologies, Santa Clara, CA). Libraries were introduced onto the flow cell using an Illumina cBot (Illumina, Inc., San Diego, CA) and a TruSeq Rapid Duo cBot Sample Loading Kit. Cluster generation and deep sequencing was performed on an Illumina HiSeq 2500 using an Illumina TruSeq Rapid PE Cluster Kit and TruSeq Rapid SBS Kit. A paired-end, 50 nt read-length (PE50) sequencing strategy was performed in rapid run mode. Image analysis and base calling were performed using Illumina’s Real Time Analysis v1.17.20.0 software, followed by demultiplexing of indexed reads and generation of FASTQ files, using Illumina’s CASAVA v1.8.2 software (http://www.illumina.com/software.ilmn, last accessed May 31, 2014). These FASTQ files were uploaded to the Sequence Read Archive (SRA) under accession SRP036064 (see http://www.ncbi.nlm.nih.gov/sra/?term=SRP036064, last accessed May 31, 2014).
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Publication 2014
2-Mercaptoethanol cDNA Library Cells Codon DNA, Complementary Enzymes Genes HEK293 Cells Hyperostosis, Diffuse Idiopathic Skeletal NP 10 Oligonucleotide Primers Oxidative Damage PicoGreen Plasmids Reducing Agents Reverse Transcription RNA, Viral RNA-Directed DNA Polymerase RNA Polymerase I Sepharose SYBR Green I Transcription, Genetic Virus
The first main procedure, Procedure Alpha (α), models collagen denaturation due to direct or osmotic effects, as well as oxidative damage and excessive reactivity. Depending on the pre-screen solubility and H-buffering scores, one of the following α assays may be selected:
Procedure Delta (Δ) measures denaturation of a water-insoluble polymer and excessive reactivity, including reactive oxidation chemistry. This procedure models ocular damage to membranes and determines whether the test chemical is an oxidant or excessive reactant.
The final main procedure, Procedure Eta (H), is performed for chemicals with extreme buffering capacity (i.e., El-buffering score ≥100). This procedure determines whether the test chemical will cause a significant shift in ocular pH, since extremes in ocular pH are inconsistent with tissue function.
Publication 2020
Biological Assay Collagen Eye Osmosis Oxidants Oxidative Damage Polymers Tissue, Membrane Tissues
Mut-seq was performed on two independently generated libraries, as previously described29 (link). In brief, PCR mutagenesis of the rodA open reading frame was performed using GeneMorph II Random Mutagenesis Kit (Stratagene) under conditions yielding ~1.4 mut/kb with primers oDR1067 and oDR1068 and PY79 genomic DNA. A mutant library was constructed using isothermal assembly of PCR-mutagenized rodA with upstream and downstream homology regions and a spectinomycin resistance cassette generated by high-fidelity PCR (upstream region: primers oDR1069 and oDR1070 and PY79 genomic DNA; downstream region and spec(R) gene: oDR1071 and oDR1072 and BDR2702 genomic DNA). The assembled products were transformed directly into competent Bacillus subtilis PY79 selecting for Spec(R) and RodA function. >50,000 transformants were pooled, aliquoted, and frozen. Genomic DNA was extracted from each replicate and the rodA locus amplified by PCR (primers oDR1081 and oDR1082). PCR products were column purified and fragmented by sonication to an average size of 200 bp. Libraries were constructed using the NEBNext DNA Library Mastermix kit and amplified with primers for Illumina sequencing. 50 bp single-end sequencing was carried out on the Illumina HiSeq 2000 platform. Reads were mapped to the B. subtilis PY79 genome reference sequence (GenBank accession: CP006881) and filtered using CLC-Genomics Workbench software. Reads with a single mismatch were quality-filtered by applying a CASAVA 1.8 quality score filter of 38 or higher. On average, we detected 143,000 quality-filtered SNPs, corresponding to approximately 120 SNPs per nucleotide in the RodA coding sequence. The number of mutations at each nucleotide position and their corresponding amino acid changes were tabulated (Supplementary Table 1). Both G->T and C->A transversions were overrepresented when compared to all other classes of mutations and the average counts did not substantially differ between synonymous and nonsense mutations. These are among the most predominant rare mutations in deep-sequence DNA libraries and are thought to be generated by oxidative damage to DNA generated before and after DNA isolation by processes such as sonication-based shearing. We excluded these two mutation types from our analysis. The complete raw dataset is available on sheets 2–4 of Supplementary Table 1. For all other classes of nucleotide changes, the mean number of synonymous and nonsense mutations (when applicable) were used as thresholds to assess whether or not a missense mutation was permissive.
Publication 2016
Amino Acids Bacillus subtilis DNA Library DNA Replication Freezing Genes, vpr Genome isolation Missense Mutation Mutagenesis Mutation Mutation, Nonsense Nucleotides Oligonucleotide Primers Open Reading Frames Oxidative Damage Single Nucleotide Polymorphism Spectinomycin

Most recents protocols related to «Oxidative Damage»

Example 5

To determine whether the ZFP3 constructs increase Klotho expression in mice, the ZFP3 constructs were transfected into a N2a knock-in line which comprises NLuc inserted into 3′-UTR of the Klotho gene (Chen et al., 2018. J. Mol. Neurosci. 64(2): 175-184). Referring to FIG. 5, both ZFP3_Egr1_site3 and ZFP3 VPR increased Klotho gene expression.

Next, a glutamate toxicity assay was performed using a HT-22 hippocampal cell line as a model for neuronal death by oxidative damage. Cytotoxicity was assayed as described by Zeldich et al. (2014. J. Biol. Chem. 289: 24700-15). Transfection of HT-22 cells with ZFP3_VPR significantly increased cell viability in the presence of either 3 mM or 4 mM glutamate as measured by CellTiter-Glo (FIG. 6). Over-expression of the extracellular domain of Klotho (KL980 construct) also increased cell viability, but the effects were not as substantial (FIG. 6).

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Patent 2024
Cell Lines Cells Cell Survival Cytotoxin DNA-Binding Proteins EGR1 protein, human Gene Expression Genes Glutamate KL protein, human Mus Neurons Oxidative Damage Transfection
HepG2 cells were cultured in Dulbecco's Modified Eagle's Medium (DMEM) supplemented with 10% fetal bovine serum (FBS), 100 U/ml penicillin, and 100 μg/ml streptomycin. The cells were grown at 37°C under a humidified 5% CO2 atmosphere. The CCK-8 method was used to determine cell viability (18 (link)). The HepG2 cells were seeded in 96-well plates at a density of 1.0 × 104 cells/well and incubated for 24 h. Then, the cells were exposed to 10–300 μg/ml of the EAF or PBS for 24 h, and the cell viability was measured by a CCK-8 kit.
For oxidative damage protection analysis, the blank group, the control group, and the EAF group were set after 24 h of adherent incubation. The EAF and control groups were treated with 10–300 μg/ml of EAF and serum-free DMEM for 24 h, followed by the exposure of H2O2 for another 4 h. The blank group was treated with serum-free DMEM for 28 h. Finally, the cell viability was measured by a CCK-8 kit.
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Publication 2023
Atmosphere Cells Cell Survival Fetal Bovine Serum Hep G2 Cells Oxidative Damage Penicillins Peroxide, Hydrogen Serum Sincalide Streptomycin
A selection of
sublethal end points related to, e.g., neurological impacts, lipid
metabolism, and oxidative responses of shrimp were addressed in the
study. Validated protocols were used to analyze the following parameters:
acetylcholinesterase activity (AChE) in gills and muscle tissues to
assess neurotoxicity; AcylCoA (acyl coenzyme A) oxidase activity (ACOX),
involved in different aspects of lipid homeostasis in the digestive
gland; antioxidant response and oxidative damage in digestive gland
by total oxyradical scavenging capacity (TOSC assay toward peroxyl
and hydroxyl radicals); and lipid peroxidation (malondialdehyde levels).
The parameters described above were analyzed in tissues at the end
of exposure (day 4) and at the end of the recovery period (day 14).
Analytical methods are described in the SI.
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Publication 2023
Acetylcholinesterase Acyl CoA Oxidase Acyl Coenzyme A Antioxidants Biological Assay Digestive System Gills Homeostasis Hydroxyl Radical Lipid Peroxidation Lipids Malondialdehyde Muscle Tissue Neurotoxicity Syndromes Oxidative Damage Pain Tissues
After the establishment of oxidative damage in H2O2-induced HepG2 cells as described in section “2.5.2. Cytoprotective effect on H2O2-induced cell damage,” cells were lysed and centrifuged, the supernatant was used to measure antioxidant enzyme activities. The antioxidant activities of PRA extracts on HepG2 cells were detected using SOD, MDA, CAT, and GSH-Px assay kits (Jiancheng Bioengineering Institute, Nanjing, China) according to the instructions. The protein content of HepG2 cells was detected by the BCA assay kit (Jiancheng Bioengineering Institute, Nanjing, China).
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Publication 2023
Antioxidant Activity Biological Assay Cells Enzymes Hep G2 Cells Oxidative Damage Peroxide, Hydrogen Proteins
After incubation in a 96-well plate (8.0 × 103 cells/well) for 24 h, HepG2 cells were pre-treated with PRA extracts (37.5, 75, and 150 μg/ml) for 24 h, followed by incubation with H2O2 (600 μM) for 6 h. Cells only treated with H2O2 were used as model group (oxidative stress). The CCK-8 assay kit was used to determine the cytoprotective effects of PRA extracts against H2O2-induced oxidative damage.
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Publication 2023
Biological Assay Cells Hep G2 Cells Oxidative Damage Oxidative Stress Peroxide, Hydrogen Sincalide

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Fetal Bovine Serum (FBS) is a cell culture supplement derived from the blood of bovine fetuses. FBS provides a source of proteins, growth factors, and other components that support the growth and maintenance of various cell types in in vitro cell culture applications.
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The TBARS assay kit is a laboratory tool used to measure the levels of thiobarbituric acid reactive substances (TBARS) in biological samples. TBARS are commonly used as a biomarker for oxidative stress and lipid peroxidation. The kit provides the necessary reagents and protocols to perform this analysis.
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The OxyBlot Protein Oxidation Detection Kit is a laboratory tool used to detect and analyze oxidative modifications in proteins. It provides a method for the identification and quantification of carbonyl groups introduced into protein side chains as a result of oxidative processes.
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The DNA/RNA Oxidative Damage ELISA kit is a laboratory tool designed to quantify the levels of oxidative damage to DNA and RNA molecules within a sample. It utilizes an enzyme-linked immunosorbent assay (ELISA) technique to detect and measure specific oxidative damage markers.
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The MDA assay kit is a laboratory tool used to measure the levels of malondialdehyde (MDA), a biomarker for oxidative stress. The kit provides the necessary reagents and protocols to quantify MDA in various biological samples.
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Thiobarbituric acid is a chemical compound used in various laboratory applications. It is a white to pale yellow crystalline solid that is soluble in water and organic solvents. Thiobarbituric acid is commonly used as a reagent in analytical techniques to detect the presence of certain compounds, particularly those related to lipid peroxidation.
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More about "Oxidative Damage"

Oxidative stress, reactive oxygen species (ROS), free radicals, lipid peroxidation, protein oxidation, DNA damage, antioxidants, PubCompare.ai, FBS, TBARS assay kit, OxyBlot Protein Oxidation Detection Kit, Infinite M200 PRO Multimode Microplate Reader, DMEM, DNA/RNA Oxidative Damage ELISA kit, MDA assay kit, Thiobarbituric acid, Alexa Fluor 594-conjugated goat anti-rabbit IgG secondary antibody.
Oxidative damage refers to the harmful effects of reactive oxygen species (ROS) and other oxidants on the body's cells and tissues.
This process can lead to the dysfunction or destruction of important biomolecules like proteins, lipids, and DNA.
Oxidative damage has been linked to a variety of health conditions, including cancer, cardiovascular disease, neurodegenerative disorders, and aging.
Researchers studying oxidative damage may utilize advanced techniques like PubCompare.ai to identify the best protocols and products, saving time and improving the accuracy and reproducibility of their results.
This AI-driven tool analyzes the scientific literature, preprints, and patents to help researchers optimize their oxidative damage studies and experience the power of AI-driven reproducibility.
To measure oxidative damage, researchers may employ assays like the TBARS assay kit, OxyBlot Protein Oxidation Detection Kit, and DNA/RNA Oxidative Damage ELISA kit.
These tools can quantify levels of lipid peroxidation, protein oxidation, and DNA damage, respectively.
Additionally, the Infinite M200 PRO Multimode Microplate Reader can be used to measure fluorescence and absorbance in these assays.
Cell culture models, such as those using DMEM media, are commonly used to study the effects of oxidative stress on cells.
The MDA assay kit and Thiobarbituric acid can be used to measure lipid peroxidation in these systems.
Immunocytochemistry, using the Alexa Fluor 594-conjugated goat anti-rabbit IgG secondary antibody, can also be employed to visualize oxidative damage in cells.
By leveraging the insights and tools available for oxidative damage research, scientists can optimize their studies, improve the quality of their results, and advance our understanding of the role of oxidative stress in various health conditions.