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54 results for “Oleic Acid”
CdSe Quantum Dots Sonochemically Synthesized in the Presence of Oleic Acid & Oleylamine at different concentrations- UV-Vis Spectra, Photoluminescence, SAXS
<p>Conntent Smmary: </p> <ul> <li>Data from experiments in which CdSe quantum dots and magic sized clusters were sonochemically synthesized in the presence of Oleic Acid and Oleylamine at different concentration. A total of 625 unique sample conditions were tested, in triplicates using an open-hardware sonochemical materials acceleration platform (Jubilee) and a liquid handling robot ( Opentrons)</li> <li>Notebooks for loading and plotting the data</li> </ul> <p>README: </p> <p><strong>/Spectral_Data</strong></p> <p>The primary portion of te experimental dataset. UV-Vis spectroscopy was collected on a Biotek Epoch 2 micropate spectrometer. The Photoluminescence data was collected on a Biotek Synergy H1 microplate spectrometer. Notebook to visualize the data can also be found in this folder. </p> <p>The<strong> "CdSe_sample_info.csv" </strong>contains all the sample information, including:</p> <ol> <li>Metal precursors and ligands concentration (M)</li> <li>Labware information- name, OT2 deck location, plate number</li> <li>Sample code- this is a combination of plate # and well position within the plate</li> </ol> <p>The "<strong>CdSe_Summary_Final.csv"</strong> contains all the sample information, along with the key parameters extracted from the UV-Vis and Photoluminescence data. These include, first peak position & peak intensity from both spectroscopic tecniques, particle diameter ( based on the UV-Vis peak position) for all 3 replicates. </p> <p>Finally,there are 3 notebooks to visualize the data in their spectral form, for both pre and post processing of the samples, as well as the notebook to recreate the scatterplot visualization of the summary parameters from the spectroscopic techniques implemented. </p> <p><strong>/Spectral_Data/Spectral_Data_Files</strong></p> <p>Folder containing all the raw data for the pre and post processing of the CdSe samples for UV-Vis spectroscopy and Photoluminescence spectroscopy. </p> <p><strong>/SAXS_Data</strong></p> <p>Folder containing all the data small-angle X-ray scattering data. This was collected on a Xenocs Xeuss 3.0 SAXS instrument. </p> <p>The "<strong>SAXS_Sample_Composition.csv" </strong> file contains the composition of precursors and ligands for the subset of samples tested using small-angle scattering. </p> <p>Notebooks to visualized the SAXS profiles obtained for all samples characterized, as well as their comparison with UV-Vis data can also be found in this folder. </p> <p><strong>/SAXS_Data/Reduced_Raw_Data</strong></p> <p>Folder containing the 1D data obtained from the reduction of the 2D dector data for each sample tested at three different dector distances ( 50, 370, and 900 nm). </p> <p><strong>/SAXS_Data/Processed_Data</strong></p> <p>Folder containing the final process SAXS data which includes merging of the data in the 3 tested instrumental configuration and subsequent background subtraction. </p> <p><strong>/SAXS_Data/McSAS_Fit_Data</strong></p> <p>Folder containing the results obtained form fitting the SAXS data from the diluted samples using the McSAS Python software. The fitting parameters used for the samples can be found in the <strong>"SAXS_Sample_McSAS_Fitting_Parameters.csv" </strong>file.</p> <p><strong>/SAXS_Data/UV-Vis_Data/ </strong></p> <p>Folder containing the UV-Vis data of the subset of samples characterized using SAXS. </p>
Lipidomic data of iRECs treated with palmitic acid and oleic acid
<p>In diabetic patients, dyslipidemia frequently contributes to organ damage such as diabetic kidney disease (DKD). DKD is associated with excessive renal deposition of triacylglycerol (TAG) in lipid droplets (LD). In order to identify the changes in the lipidome of proximal tubules exposed to high levels of fatty acids and the role that LDs formation play in this context, we treated induced Renal Epithalial Cells (iRECS) <span>with BSA, BSA-PA (Palmitic Acid), BSA-OA (Oleic Acid), BSA-PA/OA, BSA + DGAT1/2 inhibitors, BSA-PA + </span>DGAT1/2 inhibitors and BSA-PA/OA + DGAT1/2 inhibitors. </p>
RNAseq data of iRECs treated with palmitic acid and oleic acid
<p><span>In diabetic patients, </span><span>dyslipidemia </span><span>frequently contributes to organ damage such as </span><span>diabetic kidney disease (DKD). DKD is associated with excessive renal deposition of triacylglycerol (TAG) in lipid droplets (LD). In order to understand the biological processes ocurring in proximal tubules when exposed to fatty acids</span>, we performed a comparative transcriptomic study on BSA-, BSA-PA-, BSA-OA- and BSA-PA/OA-treated iRECs using RNA sequencing.</p>
GC-MS data corresponding to: Methanol-Based Esterification of Palm Oil Sludge – Preparation of Fatty Acids (Palmitic and Oleic) Ethyl Esters via Ethyl Acetate Transesterification by Javier Chaparro-Acosta and Juan-Manuel Urbina-González
<p>GC-MS data corresponding to:</p> <p>Methanol-Based Esterification of Palm Oil Sludge – Preparation of Fatty Acids (Palmitic and Oleic) Ethyl Esters via Ethyl Acetate Transesterification<br> by<br> Javier Chaparro-Acosta<sup>(1)</sup> and Juan-Manuel Urbina-González<sup>(2*)</sup></p> <p><sup>1</sup>Escuela de Ingeniería Química, Universidad Industrial de Santander, Bucaramanga, 680002, Colombia<br> <sup>2</sup>Escuela de Química, Universidad Industrial de Santander, Bucaramanga, 680002, Colombia<br> * Correspondence: jurbina@uis.edu.co<br> <br> <strong>Abstract</strong><br> Acid catalyzed Fischer esterification of fatty acids using methanol (as reagent and solvent) allow the preparation of long chain alkyl methyl esters. Transesterification of palm oil in basic media using methanol is also a known path to monoalkyl methyl ethers derived of fatty acids. In this work we report the Fischer esterification using methanol of a sample of local palm oil sludge (a fraction rich in fatty acids) and how during the extraction with ethyl acetate a transesterification reaction occurred, allowing the preparation of ethyl esters of oleic and palmitic acids as main compounds.</p> <p> </p>
RNAseq data of iRECs treated with palmitic acid and oleic acid
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Lipidomic data of iRECs treated with palmitic acid and oleic acid
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Fig. 4 in Characterization of the stearoyl-ACP desaturase gene (PoSAD) from woody oil crop Paeonia ostii var. lishizhenii in oleic acid biosynthesis
Fig. 4. Quantification of fatty acids in the developing endosperm of P. ostii var. lishizhenii. The FA contents (A) and composition (B) in the developing endosperm of P. ostii var. lishizhenii. The graph shows average values of three replicates with the respective error bars indicating standard deviations. Different letters above the columns indicate significant differences at P<0.05.
Fig. 5 in Characterization of the stearoyl-ACP desaturase gene (PoSAD) from woody oil crop Paeonia ostii var. lishizhenii in oleic acid biosynthesis
Fig. 5. The fatty acid contents (A) and the ratios of PA/POA and SA/OA (B) in pYES2-PoSAD and pYES2 transgenic INVSc1. The graph shows average values of three replicates with the respective error bars indicating standard deviations. Different letters above the columns indicate significant differences at P <0.05.
Fig. 3 in Characterization of the stearoyl-ACP desaturase gene (PoSAD) from woody oil crop Paeonia ostii var. lishizhenii in oleic acid biosynthesis
Fig. 3. Relative expression levels of PoSAD by qRT-PCR. The data show the relative gene expression of PoSAD in Paeonia ostii var. lishizhenii roots, leaves, shoots, stems, petals, stamens and seven development stages of endosperm (S1~S7). The graph shows average values of three replicates with the respective error bars indicating standard deviations.
Fig. 2 in Characterization of the stearoyl-ACP desaturase gene (PoSAD) from woody oil crop Paeonia ostii var. lishizhenii in oleic acid biosynthesis
Fig. 2. Phylogenetic analysis of plant stearoyl-ACP desaturase. The position of PoSAD is marked by a bold black dot. Plant species included in the phylogenetic tree are: Arabidopsis thaliana, Camellia sinensis, Camellia oleifera, Citrus clementina, Corchorus capsularis, Citrus sinensis, Citrus unshiu, Coffea arabica, Herrania umbratica, Manihot esculenta, Macadamia tetraphylla, Nelumbo nucifera, Oryza sativa, Paeonia lactiflora, Paeonia ludlowii, Panicum miliaceum, Populus alba, Populus euphratica, Populus trichocarpa, Ricinus communis, Setaria italica, Theobroma cacao, Triticum aestivum, Vernicia montana, Vitis vinifera, Zea mays and Ziziphus jujube.
Fig. 6 in Characterization of the stearoyl-ACP desaturase gene (PoSAD) from woody oil crop Paeonia ostii var. lishizhenii in oleic acid biosynthesis
Fig. 6. Fatty acid analysis of A. thaliana seeds. (A) FA contents in the seeds of wild-type, empty and three different PoSAD overexpressing transgenic A. thaliana lines. (B) FA composition in the seed oils of wild-type, empty and three different PoSAD overexpressing transgenic A. thaliana lines. The graph shows average values of three replicates with the respective error bars indicating standard deviations. Different letters above the columns indicate significant differences at P<0.05.
Energy Dense Oleic Acid Formula to Geriatric Patients
ClinicalTrials.gov study NCT01042340. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Fatty Acid Taste Thresholds: Caproic, Lauric, Oleic, Linoleic, Linolenic
ClinicalTrials.gov study NCT01996566. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Composition dependence of gel behaviour in oleic acid - sodium oleate oleogels".
<p>Composition dependence of gel behaviour in oleic acid - sodium oleate oleogels”. </p>
RNA Sequencing Analysis of Human Ovarian Cancer Cell Line OVCAR5 Treated with Stearic Acid, Oleic Acid, and CAY10566
GEO Series GSE248408. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
RNA sequencing of SiHa cells treated with oleic acid and radiation
GEO Series GSE214501. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Resting CD4+ T cells exposed to oleic acid upregulate genes involved in immunometabolism resulting in increased IL-9+ frequencies post-activation [RNA-seq]
GEO Series GSE231458. Homo sapiens. 90 samples. Type: Expression profiling by high throughput sequencing.
Oleic Acid Induces Tissue-Resident FOXP3 Regulatory T Cell Suppressive Functions
GEO Series GSE152543. Homo sapiens. 2958 samples. Type: Expression profiling by high throughput sequencing.
Dietary oleic acid drives obesogenic adipogenesis via modulation of LXRasignaling
GEO Series GSE273569. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Oleic Acid Induces Tissue-Resident FOXP3 Regulatory T Cell Suppressive Functions (single-cell RNA)
GEO Series GSE152197. Homo sapiens. 2931 samples. Type: Expression profiling by high throughput sequencing.
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