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Time series single cell RNA sequencing analysis of smooth muscle cell (SMC) to mesenchymal cell transition process in TGFβR2iSMC-Apoe-/- and Apoe-/- mice. Chromatin immunoprecipitation DNA sequencing was done to identify the potential binding sites of DNA-associated proteins in human aortic smooth muscle cells treated with TGFb or PBS.
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Characterization of TGFβR2iSMC-Apoe-/- mice after 1 month of high cholesterol high fat by histology, imaging mass cytometry (IMC), histoCAT, CyTOF, and immunocytochemistry. Aortic smooth muscle cells from TGFβR2iSMC-Apoe-/- express stem cell markers (CD105, CD73, CD90, Sca-1, CD44), mesenchymal cell markers (Osteopontin, Aggrecan, Adiponectin). To show clonal origin of smooth muscle cell-derived mesenchymal cells in TGFβR2iSMC-Apoe mice-/-, we replaced mTmG reporter strain TGFβR2iSMC-Apoe mice generating Myh11CreERT2;Tgfbr2f/f;Apoe-/-;Confettif/f and Myh11CreERT2;Apoe-/-:Confettif/f (control) lines.
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Test
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Data Related to Fig 2. A mouse line carrying floxed Tgfbr2 and SMC lineage-tracing mT/mG alleles under control of a myosin heavy chain (Myh11) promoter on an Ldlr null background (Ldlr-/-;Myh11CreERT2;mT/mGf/f;Tgfbr2f/f) hereafter called TGFβR2iSMC-Ldlr. These mice were treated with Tamoxifen at 6 week of age and fed high cholesterol high fat diet for 4 months. Ascending aorta smooth muscle cells from these mice express macrophage, chondrocyte, adipocyte, and osteoblast lineage markers as shown by immunocytochemistry and qRT-PCT from laser micro dissection tissues compared to controls.
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In the current data article, we present detailed characteristics of voids in carbon/epoxy composite laminates as well as the original image stacks, obtained via X-ray micro-Computed Tomography (micro-CT) . Five different lay-ups are produced with altering the recommended cure cycle in order to intentionally induce voids in the material. For each lay-up, an image stack (consisting of tomographic slices) and a dataset are provided. The image slices are in 8-bit TIF format. The datasets (spreadsheets) include the volume, size parameters, shape parameters, orientation, and location of all the detected voids in the specimen. The segmentation of the images and quantification of voids are performed in VoxTex, an in-house software for processing of micro-CT results. The data is linked to a Data in Brief article "A dataset of voids’ characteristics in multidirectional carbon fiber/epoxy composite laminates, obtained using X-ray micro-computed tomography" and linked to the article "Mehdikhani et al. Detailed characterization of voids in multidirectional carbon fiber/epoxy composite laminates using X-ray micro-computed tomography. Comp Part A. in press.".
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Raw data for experimentation of photosensitivity of fungal substrates
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Smooth muscle cell (SMC) TGFb signaling and expression of relevant genes in the media of normal human aortas and non-Marfan atherosclerotic ascending aorta aneurysms by bulk RNAseq and immunocytochemistry. Related To Fig 1. SMC aneurysms samples show a reduction in TGFb signaling and increased expression of inflammation-related genes compared to normal aortas SMCs.
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This data is associated with a submitted manuscript, where processing parameters for Ti6Al4V with and without copper addition is investigated. The two samples are both with 3% copper with different process parameters. The data format is described below and will be of interest to readers of the paper (in Additive Manufacturing journal) for visualization of pores inside the metal samples. Data is in processed format and can be opened using the free software myVGL obtainable from Volume Graphics GmbH, or the compressed image stacks can be opened, which then contains no analysis and only raw data. Voxel size is 0.015 mm isotropic. Cuboids are 10x10x4 mm and analysis region of interest is the central 6x6x2 mm of each sample. The two samples are two different process parameters with power 170 W and scan speed 0.9 m/s, and 340 W with 1.1 m/s
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Study aim: To study Gamma-enhancing neurofeedback learning process and evaluate its efficacy on visual feature binding and fluid intelligence Sample size: 18 healthy female students (mean age: 24.24 ± 1.94 years) Dataset: ----------- 1- Demographics: 18 subjects, Age, BMI, Weight, Height, Handedness, GPA 2- IQ measure: 18 subjects, Pretest and posttest sessions 3- Visual feature binding measure: 18 subjects, Pretest and posttest sessions, Response time and Error rate 4- 4 activity baseline EEG: 18 subjects, Pretest and posttest sessions, Tasks: Eyes open, Eyes closed, Auditory sensory attentiveness, Cognitive effort 5- Neurofeedback training EEG: 8 subjects, 8 training sessions, Eyes closed baseline EEG recorded before and after training in each session, EEG recorded during training in each session
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This research calculates the Herfindahl-Hirschman Index (HHI) and the Five Major Concentration Ratio, as well as estimates the Lerner Indicator of the Brazilian credit market, between 2000 and 2019. For this purpose, public accounting information from financial institutions was used. This information is available on the website of the Central Bank of Brazil, in the database called IF.data (https://www3.bcb.gov.br/ifdata/). The names of the accounting items used as proxies for the variables are shown in Table 2 of the paper. The concentration and competition indices include isolated financial institutions belonging to the banking segment, type b1 and b2, and non-banking institutions, type n1 and b3S. The banking segment type b1 is represented, according to the monetary authority, by commercial banks, multiples with commercial portfolios and savings banks. Multiple banks with no commercial portfolio and investment banks make up the type b2 banking segment. Individual credit unions and non-bank credit institutions are represented by b3S and n1, respectively.
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