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Iron

Iron is an essential mineral that plays a crucial role in various physiological processes within the human body.
It is a key component of hemoglobin, the protein in red blood cells responsible for transporting oxygen throughout the body.
Iron also assists in the production of enzymes and supports immune function.
Deficiencies in iron can lead to anemia, fatigue, and impaired cognitive abilities, while excess iron can cause organ damage.
Maintaining a balanced iron intake through dietary sources or supplements is important for overall health and wellbeing.
Reserarch into the role of iron in human physiology and disease is an active area of study.

Most cited protocols related to «Iron»

To reduce variation among microarrays, the intensity values for each microarray were rescaled by means of a quantile normalization method [19 (link)]. Gene expression values were log2-transformed and median-centered across samples. A hierarchical clustering algorithm, using the uncentered correlation coefficient as the measure of similarity and average linkage clustering, was applied as described in Eisen et al [20 (link)].
To select prognosis-related gene classifiers, individual analyses were performed based on tumor invasiveness (NMIBC and MIBC) and prognosis (recurrence, progression, cancer-specific survival and overall survival). Univariate Cox regression analysis for microarray was performed to select genes that correlated significantly with prognosis. In this analysis, we chose a cutoff (P < 0.001) to select candidate genes. Of the candidate prognosis-related gene signatures, genes in the top 10th percentile of gene expression ratios for each classifier were selected for the evaluation of their prognostic properties in the original cohort.
A patient's risk score was calculated as the sum of the levels of expression of each gene multiplied by the corresponding regression coefficients [9 ,16 (link),21 (link)-24 (link)]. Patients were classified as having a good-prognosis or poor-prognosis signature, with the 50th percentile (median) of the risk score as the cutoff value [21 (link),23 (link)].
To validate the results, RT-PCR analysis of selected genes in the original and independent cohorts was carried out. In the original cohort, genes with a Pearson correlation coefficient of greater than .6 between the microarray and RT-PCR data were selected for validation. Prognostic values were determined by the Kaplan-Meier method, and differences were assessed by log rank statistics. Statistical analysis was performed in R (version 2.6.2), and a P value of < 0.05 was considered statistically significant.
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Publication 2010
Disease Progression Gene Expression Genes Iron Malignant Neoplasms Microarray Analysis Neoplasm Invasiveness Non-Muscle Invasive Bladder Neoplasms Patients Prognosis Recurrence Reverse Transcriptase Polymerase Chain Reaction
A total of 55 pregnant women of over 34 weeks’ gestation were recruited to the intervention arm of the BabyGel study, from 5 villages. These villages were situated around Busiu Health Centre IV in Mbale District, Eastern Uganda and were selected to represent a variety of distances from each other, market areas and from the health centres. Participants were taught to use the hand rub at certain moments in their daily routine, as defined by the ‘Newborn Moments for Hand Hygiene’ poster. This was made available to all those in the intervention arm as a laminated colour poster in English or the dominant local language Lumasaba. The participants were taught verbally to use the ABHR at the moments specified in the poster and were supported by Village Health Workers.
At the end of the 3-month neonatal period, mothers from the intervention arm were invited to attend a focus group discussion (FGD) to offer their opinion on the acceptability and feasibility of the educational poster and ABHR. All 55 women in the BabyGel study intervention group were invited to participate, regardless of their level of education or literacy. A total of 35 women agreed to participate. Five focus groups were conducted throughout March and April 2016, each consisting of 6–8 participants, as summarised in Table 1.

Demographics of FGD Participants

VillageNumber of participantsMean age of participant (range)
Namakye822.6 (18–30)
Bulwalasi Toma827.9 (19–37)
Namunyu627.5 (19–39)
Makhonje 1723.1 (19–30)
Makhonje 2630.3 (19–36)
Most participants were married and described their occupation as a housewife or peasant farmer. Most had only primary education. The typical house was made from mud with an iron sheet roof. Most had non-ventilated pit latrines without handwashing facilities.
The FGDs were arranged by telephone call during the participants’ 90-day follow-up survey. On the day of the focus group, a research assistant from the Sanyu Africa Research Institute (SAfRI) formalised the participants’ consent prior to the discussion.
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Publication 2019
Farmers Infant, Newborn Iron Mothers Pregnancy Pregnant Women Teaching Village Health Workers Woman
The standard PhyloSift database includes a set of 37 “elite” gene families previously identified as nearly universal and present in single-copy. These 37 gene families are a subset of the 40 previously reported (Wu, Jospin & Eisen, 2013 (link)), with three families excluded because they frequently have partial length homologs in some lineages. These “elite” families represent about 1% of an average bacterial genome, as estimated from current genome databases. In other work we have demonstrated that phylogenetic trees reconstructed on individual genes in this set are generally congruent with each other (Lang, Darling & Eisen, 2013 (link); Rinke et al., 2013 (link)), suggesting that concatenating alignments of these families will yield a valid and more powerful estimate of their phylogenetic history. Other groups have also demonstrated that trees inferred from concatenate alignments demonstrate the least conflict with trees inferred separately from other microbial amino acid sequences (Abby et al., 2012 (link)). During the database update process (described below), these gene families are automatically extended to include putative homologs from eukarya and some viruses with large genomes such as the Mimivirus. Most small viral genomes lack homologs of these gene families.
In addition to the elite 37 families, the PhyloSift database also includes four additional sets of gene families:
Combined, this yields a set of approximately 800 gene families in the standard PhyloSift database, most of which are viral.
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Publication 2014
Acanthamoeba polyphaga mimivirus Amino Acid Sequence Eukaryota Genes Genes, vif Genome Genome, Bacterial Iron Trees Viral Genome
The relative popularity of normalization methods was assessed by querying the GEO [2 (link)] and ArrayExpress [3 (link)] websites on June 28th, 2012 for the following keywords: RMA, MAS5, dChip, GCRMA, PLIER, VSN. ArrayExpress queries were limited to RNA assays. Both sets of queries resulted in the following top-four ordering: RMA > MAS5 > dChip > GCRMA.
Figure 1 was created in Microsoft PowerPoint 2003 (Microsoft Corporation, Redmond, WA, USA). All results pertaining to MAS5 and RMA were derived from data processed with the Affymetrix Power Tools software, v1.12.0 (Affymetrix, Inc., Santa Clara, CA, USA). All results pertaining to dChip were derived from data processed with the December 17th, 2010 Windows binary. All plots and PCA analyses were generated with Evince, v2.5.5 (UmBio AB, Umeå, Sweden). Final figures were composited using Inkscape, v0.48 (http://inkscape.org/).
The data for Figures 2, 3, Additional file 1: Figure S1, and Additional file 2: Figure S2 were generated using GEO [2 (link)] dataset GSE18864, after excluding GSM467575 as a bad chip. Both IRON and non- background-subtracted quantile normalization were performed using libaffy. IRON normalization was performed versus chip GSM467598. dChip normalization was performed against GSM467598 for Figure 3, Additional file 1: Figure S1, and Additional file 2: Figure S2, and against the default median brightness chip for all other analyses. The data for Figure 4 was generated from ArrayExpress [3 (link)] dataset E-MTAB-37, using the subset of adenocarcinoma and small-cell lung tumor-derived cell line chips. IRON normalization was performed versus sample NCI-H1437-Rep3. Three samples (NCI-H1355-Rep1, NCI-H1792-Rep2, NCI-H2107-Rep1), denoted with ‘X’ symbols in the figure, were outlier technical replicates. Three technical replicates were run for most cell lines, and these three samples were unlike the other two replicates for their respective cell lines. These outlier replicates were left in the analysis to highlight the effect of choice of post-processing algorithm on the behavior of the principle component analysis. Removal of the outliers prior to PCA analysis does not noticeably impact the behavior of the non-outliers (data not shown).
Normalized expression data for Figure 5 was loaded into R 2.15.1. The GoldenSpike package (v0.5) was used and modified to evaluate spike-in probesets. Briefly, cyberT was used to identify differentially expressed probesets, and the statistic was used as the score for ROC analysis. ROC and AUC analysis was performed using the pROC package [19 (link)], using spike-in probesets as positives (cases), background / not spiked-in probesets as negatives (controls), requiring cases to have larger scores than controls.
Table 1 was generated by submitting MAS5, RMA, and IRON results to the Affycomp III web-server [10 (link),20 ], then entering the results into Microsoft Excel 2007 (Microsoft Corporation, Redmond, WA, USA). dChip results were taken directly from the Affycomp III competition results webpage.
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Publication 2013
Adenocarcinoma Biological Assay Cell Lines DNA Chips Iron Lung Neoplasms
The WASH Benefits Bangladesh study was a cluster-randomised trial conducted in rural villages in Gazipur, Kishoreganj, Mymensingh, and Tangail districts of Bangladesh (appendix p 2). We grouped pregnant women who lived near enough to each other into a cluster to allow delivery of interventions by a single community promoter. We hypothesised that the interventions would improve the health of the index child in each household. Each measurement round lasted about 1 year and was balanced across treatment arms and geography to minimise seasonal or geographical confounding when comparing outcomes across groups. We chose areas with low groundwater iron and arsenic (because these affect chlorine demand) and where no major water, sanitation, or nutrition programmes were ongoing or planned by the government or large non-government organisations. The study design and rationale have been published previously.10
The latrine component of the sanitation intervention was a compound level intervention. The drinking water and handwashing interventions were household level interventions. The nutrition intervention was a child-specific intervention. We assessed the diarrhoea outcome among all children in the compound who were younger than 3 years at enrolment, which could underestimate the effect of interventions targeted only to index households (drinking water, and handwashing) or index children (nutrition). After the study results were unmasked, we analysed diarrhoea prevalence restricted to index children (ie, children directly targeted by each intervention).
The study protocol was approved by the Ethical Review Committee at The International Centre for Diarrhoeal Disease Research, Bangladesh (PR-11063), the Committee for the Protection of Human Subjects at the University of California, Berkeley (2011-09-3652), and the institutional review board at Stanford University (25863).
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Publication 2018
Arm, Upper Arsenic Child Children's Health Chlorine Diarrhea Dietary Modification Ethical Review Ethics Committees, Research Homo sapiens Households Iron Obstetric Delivery Pregnant Women Youth

Most recents protocols related to «Iron»

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 2

A mixture obtained by mixing 100 parts by mass of granular coal pitch having a softening point of 280° C. as an organic material with 0.9 part by mass of tris(2,4-pentanedionato)iron(III) (metal species: Fe) was fed into a melt extruder, where it was melted and mixed at a melting temperature of 320° C., and spun at a discharge rate of 16 g/min to obtain a pitch fiber. The pitch fiber was subjected to an infusibilization treatment by heating for 54 minutes, to 354° C. from ambient temperature in the air at a rate of 1 to 30° C./minute, to obtain an infusibilized pitch fiber as an activated carbon precursor. The iron (Fe) content in the activated carbon precursor was 0.11% by mass.

The activated carbon precursor was activated by conducting a heat treatment at an atmospheric temperature of 950° C. for 40 minutes, while continuously introducing a gas having a CO2 concentration of 100% by volume into an activation furnace, to obtain an activated carbon of Example 2. In the activated carbon, the pore volume A of pores with a size of 1.0 nm or less was 0.396 cc/g, the pore volume B of pores with a size of 3.0 nm or more and 3.5 nm or less was 0.016 cc/g, the iron content was 0.251% by mass, and the average fiber diameter was 13.6 μm.

Granular coal pitch having a softening point of 280° C. as an organic material was fed into a melt extruder, where it was melted and mixed at a melting temperature of 320° C., and spun at a discharge rate of 20 g/min, to obtain a pitch fiber. The pitch fiber was subjected to an infusibilization treatment by heating for 54 minutes, to 354° C. from ambient temperature in the air at a rate of 1 to 30° C./minute, to obtain an infusibilized pitch fiber as an activated carbon precursor. The iron content in the activated carbon precursor was 0% by mass.

The activated carbon precursor was activated by conducting a heat treatment at an atmospheric temperature of 875° C. for 40 minutes, while continuously introducing a gas having an H2O concentration of 100% by volume into an activation furnace, to obtain an activated carbon of Comparative Example 2. In the activated carbon, the pore volume A of pores with a size of 1.0 nm or less was 0.401 cc/g, the pore volume B of pores with a size of 3.0 nm or more and 3.5 nm or less was 0.000 cc/g, the iron content was 0% by mass, and the average fiber diameter was 16.7 μm.

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Patent 2024
Carbon Fiber Charcoal, Activated Coal Fibrosis Iron Metals Patient Discharge Tromethamine
Not available on PMC !

Example 13

The effect of normal annealing and stress annealing on nitriding an iron-based material was evaluated. FIGS. 19A and 19B are diagrams illustrating XRD spectra of example iron nitride compositions with normal annealing and with stress annealing, respectively. The intensity of Fe16N2 phase was observed to enhance by strained workpiece annealing. The workpiece was subject to tensile stresses of up to 800 MPa at temperatures of 160° C. to 200° C.

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Patent 2024
Figs Iron
Not available on PMC !

Example 1

Preparation of AgNPs@CMC, FeNPs@CMC and AgNPs@Fe@CMC Nanocomposites

The AgNPs@CMC, FeNPs@CMC and AgNPs@Fe@CMC were separately prepared via the reduction co-precipitation method. In this method, 100 mL of an aqueous solution of metal salt (0.05M) was prepared and 2 g of CMC extract was added. The system was kept under stirring (500 rpm) at room temperature for 30 min. Thereafter, 0.5M of sodium borohydride was added to the solution containing the metal ion-loaded CMC under continuous stirring for 1 hour. The metal oxide loaded CMC was isolated, washed with distilled water, and dried in an oven at 60° C. for 24 hour. The silver nanoparticle-loaded CMC was labeled as AgNPs@CMC and iron nanoparticle CMC was labeled as FeNPs@CMC.

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Patent 2024
Hydrogels hydroxypropylcellulose Iron Metals Oxides Phoenix dactylifera Silver sodium borohydride Sodium Chloride

Example 7

A composition including iron foil, 2 wt. % Boron, 3 wt. % copper, and 25 wt % urea was annealed by heating at 700° C. for 0.5 hours and about 10 hours, followed by quenching at room temperature in cold water. The composition was then annealed in a urea environment at 160° C., followed by a second quenching to promote phase transformation from Fe3-4N to Fe8N. Finally, the composition was stress annealed at 160° C. for periodic intervals of 5 hours.

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Patent 2024
Boron Cold Temperature Copper Iron Urea

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Iron(III) chloride hexahydrate is a chemical compound with the formula FeCl3·6H2O. It is a crystalline solid that is soluble in water and other polar solvents. The compound is commonly used in various laboratory applications, serving as a source of iron(III) ions and as a flocculating agent.
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Sodium hydroxide is a chemical compound with the formula NaOH. It is a white, odorless, crystalline solid that is highly soluble in water and is a strong base. It is commonly used in various laboratory applications as a reagent.
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Hydrochloric acid is a commonly used laboratory reagent. It is a clear, colorless, and highly corrosive liquid with a pungent odor. Hydrochloric acid is an aqueous solution of hydrogen chloride gas.
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Gallic acid is a naturally occurring organic compound that can be used as a laboratory reagent. It is a white to light tan crystalline solid with the chemical formula C6H2(OH)3COOH. Gallic acid is commonly used in various analytical and research applications.
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The Iron Assay Kit is a laboratory product designed to quantify the iron content in a variety of sample types, including biological samples. The kit provides the necessary reagents and protocols to perform this analysis accurately and efficiently.
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Iron (III) chloride is a chemical compound with the formula FeCl3. It is a crystalline solid that is soluble in water and has a variety of laboratory and industrial applications. The core function of iron (III) chloride is as a coagulant and flocculating agent, which is used in water treatment processes to remove suspended particles and impurities.
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Iron(II) chloride tetrahydrate is a chemical compound with the formula FeCl2·4H2O. It is a green crystalline solid that is soluble in water and alcohol. The compound is commonly used as a laboratory reagent and in various industrial applications.
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Ethanol is a clear, colorless liquid chemical compound commonly used in laboratory settings. It is a key component in various scientific applications, serving as a solvent, disinfectant, and fuel source. Ethanol has a molecular formula of C2H6O and a range of industrial and research uses.
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DPPH is a chemical compound used as a free radical scavenger in various analytical techniques. It is commonly used to assess the antioxidant activity of substances. The core function of DPPH is to serve as a stable free radical that can be reduced, resulting in a color change that can be measured spectrophotometrically.
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Methanol is a clear, colorless, and flammable liquid that is widely used in various industrial and laboratory applications. It serves as a solvent, fuel, and chemical intermediate. Methanol has a simple chemical formula of CH3OH and a boiling point of 64.7°C. It is a versatile compound that is widely used in the production of other chemicals, as well as in the fuel industry.

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iron, mineral, hemoglobin, oxygen, enzymes, immune function, anemia, fatigue, cognitive abilities, organ damage, dietary sources, supplements, physiiology, disease, Iron(III) chloride hexahydrate, Sodium hydroxide, Hydrochloric acid, Gallic acid, Iron Assay Kit, Iron (III) chloride, Iron(II) chloride tetrahydrate, Ethanol, DPPH, Methanol, research, reproducibility, accuracy, PubCompare.ai