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3,272 results for “microarray”
Proteome-wide microarray-based screening of PAR-binding proteins
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microarray data in manuscript 559478
<p>microarray data in manuscript 559478,"H3K4me3 Mediated Upregulation of lncRNA-HEIPP in Preeclampsia Placenta Affected Invasion of Trophoblast Cells".</p>
Data from: Genomics of Compositae weeds: EST libraries, microarrays, and evidence of introgression
PREMISE OF THE STUDY: Weeds cause considerable environmental and economic damage. However, genomic characterization of weeds has lagged behind that of model plants and crop species. Here we report on the development of genomic tools and resources for 11 weeds from the Compositae family that will serve as a basis for subsequent population and comparative genomic analyses. Because hybridization has been suggested as a stimulus for the evolution of invasiveness, we also analyze these genomic data for evidence of hybridization. METHODS: We generated 22 expressed sequence tag (EST) libraries for the 11 targeted weeds using Sanger, 454, and Illumina sequencing, compared the coverage and quality of sequence assemblies, and developed NimbleGen microarrays for expression analyses in five taxa. Where possible, we also compared the distributions of Ks values between orthologs of congeneric taxa to detect and quantify hybridization and introgression. RESULTS: Gene discovery was enhanced by sequencing from multiple tissues, normalization of cDNA libraries, and especially greater sequencing depth. However, assemblies from short sequence reads sometimes failed to resolve close paralogs. Substantial introgression was detected in Centaurea and Helianthus, but not in Ambrosia and Lactuca. CONCLUSIONS: Transcriptome sequencing using next generation platforms has greatly reduced the cost of genomic studies of non-model organisms, and the ESTs and microarrays reported here will accelerate evolutionary and molecular investigations of Compositae weeds. Our study also shows how ortholog comparisons can be used to quantify the genome-wide extent of introgression and to identify genes that have been exchanged between hybridizing taxa.
An Integrated Protocol for Exploring Molecular Mechanisms of Schizophrenia Using DNA Microarray Datasets
<p>The gene expression matrices, annotation information of probes and sample descriptions for GSE87610, GSE92538, GSE93577 and GSE93987. </p>
FIGURE 4 in MIDTAL (Microarrays for the Detection of Toxic Algae)
FIGURE 4: Average RNA amounts (pg/cell) over a three-day period for three different strains of Prymnesium parvum N. Carter (1937: 40) cultures grown under three levels of four environmental stressors: light (top left), nutrients (top right), salinity (bottom left) and temperature (bottom right). In each treatment, the optimal value for the growth of P. parvum is shown in red and the stress conditions tested are in blue and green.
FIGURE 6 in MIDTAL (Microarrays for the Detection of Toxic Algae)
FIGURE 6: Scan image of a portion of one of the grids (left panel, see also the lower panel in Fig. 2) in the first generation MIDTAL microarray after hybridization with Cy5-labelled RNA extracted from a field sample collected in the Skagerrak coast (Gullmarnfjord, Sweden) in the beginning of August 2009. An analysis of the hybridisation was performed with the PhyloChip program, and a portion of this analysis is presented in the histogram (right panel). Each cluster of four dots in the left panel represents the same probe spotted four times as shown in Fig. 2 lower panel. Fluorescence values in the right panel are arranged from lowest to highest signal strength. The red line across the intensity values marks the threshold over which a positive signal is recorded. Stars indicate a significant signal for species level probe of two toxic species Karenia brevis (Davis) G. Hansen et Moestrup in Daugbjerg et al. (2000: 308) (KB5) and Pseudo-nitzschia multistriata (Takano) Takano (1995: 73) (mD3) present in the sample, seen both with the microarray and traditional counts. Other high signals include the probes for the positive control Dunaliella and other higher group level probes, such as EUK1209, a probe for all eukaryotes and HETERO01, a probe for all heterokonts. Error bars represent duplicate hybridisation of the same field sample (two grids hybridised at the same time and signals averaged).
FIGURE 3 in MIDTAL (Microarrays for the Detection of Toxic Algae)
FIGURE 3: Hybridization of fragmented RNA to 16 probes (x axis) on the microarray with increasing hybridisation temperature as compared to non fragmented RNA hybridised at 37°C. Probes with low signals are enhanced by fragmentation. The signal to noise ratio values above the background cut-off of 1 are shown.
FIGURE 5 in MIDTAL (Microarrays for the Detection of Toxic Algae)
FIGURE 5: Comparison of RNA yields extracted from three filters of field material collected at eight stations in the Irish Sea at Galway, Ireland by PTR 5 NUIG with (av spiked = red) and without (av crudeblue = blue) the addition of cells of Dunaliella as the internal control prior to the extraction.
FIGURE 1 in MIDTAL (Microarrays for the Detection of Toxic Algae)
FIGURE 1: Scheme detailing the stress experiments performed on three strains of each species to obtain RNA for the calibration experiments using F/2 seawater media. N = nitrogen and P = phosphate.
FIGURE 2 in MIDTAL (Microarrays for the Detection of Toxic Algae)
FIGURE 2: Spotting scheme for the first generation MIDTAL microarray. In the upper panel the supergrid arrangement on each slide is shown. Each supergrid is composed of four grids. In the lower panel each grid is shown in more detail. Only two of the grids in each supergrid are hybridised in each experiment. Each probe is spotted four times, hence the four colors adjacent to one another. Each box in the cluster of four colors in the grid represents a spot of c. 50 µm in diameter where a given probe is immobilized. This generation of the microarray has 960 spots, covering 112 probes for toxic algal species and higher taxon levels, and various positive and negative control probes.
Microarray Analysis of microRNA Expression in Basal Cell Carcinoma
ClinicalTrials.gov study NCT01498250. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Genetic Expression Alteration Affect on Lateral Neck Node Metastasis of Thyroid Papillary Microcarcinoma : Microarray Analysis
ClinicalTrials.gov study NCT01384669. IPD Sharing: Not stated. Countries: 1. Publications: 20.
Microarray Analysis of Gene Expression in Idiopathic Pulmonary Fibrosis (IPF)
ClinicalTrials.gov study NCT00258544. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Diagnostic and Therapeutic Applications in Microarrays in Organ Transplantation
ClinicalTrials.gov study NCT01299168. IPD Sharing: NO. Countries: 14. Publications: 32.
Microarray Analysis of Scalp Biopsies After Minoxidil Treatment
ClinicalTrials.gov study NCT01309191. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Microarray Analysis of IFN-Induced Gene Expression in Obese and Non-Obese Patients With Chronic Hepatitis C
ClinicalTrials.gov study NCT00322179. IPD Sharing: Not stated. Countries: 1. Publications: 5.
The Eshre Study Into The Evaluation of Oocyte Euploidy by Microarray Analysis
ClinicalTrials.gov study NCT01532284. IPD Sharing: UNDECIDED. Countries: 6. Publications: 2.
Microarray Analysis of microRNA Expression Profiles in Cutaneous Squamous Cell Carcinoma
ClinicalTrials.gov study NCT01500954. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Microarray Application in Newborns With Multiple Congenital Anomalies
ClinicalTrials.gov study NCT06694896. IPD Sharing: NO. Countries: 1. Publications: 2.
Diagnostic and Therapeutic Applications of Microarrays in Heart Transplantation
ClinicalTrials.gov study NCT02670408. IPD Sharing: NO. Countries: 8. Publications: 11.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.