Sentences with phrase «for gene expression analysis»

Affymetrix GeneChips are probably the most widely used platform for gene expression analysis.

For gene expression analysis, microarrays were performed by the DKFZ Genomics and Proteomics core facility (Heidelberg, Germany).

A quest to find good primers for gene expression analysis of Candida albicans from clinical samples — Gabriela C.Alonso — Journal of Microbiological Methods

F4 / 80 + and F4 / 80 — cells were collected into cooled FACS buffer, centrifuged at 500 g for 5 minutes, and immediately frozen for gene expression analysis.

The BioMark Dynamic Array microfluidic qPCR system (Fluidigm Corporation, San Francisco, CA) was used for gene expressions analysis of oocytes and cumulus cells.

Not exact matches

A new meta - analysis suggests that low expression levels of 10 related gene sets responsible for mitochondrial machinery play an important role in this disorder — all previously unlinked to Parkinson's.

First, they did a quantitative analysis of the anatomy of related fossils and extant animals to generate a hypothesis about the transition; next, they searched for possible shifts in gene expression that correlated with the transition.

Scientists from the Biogerontology Research Foundation (BGRF), a UK - based charity founded to support aging research and address the challenges of a rapidly aging population, propose a new concept for signalome - wide analysis of changes in intracellular pathways, called OncoFinder, which allows for accurate and robust cross-platform analysis of gene expression data.

Single - cell differential gene expression analysis revealed a spectrum of known transcripts, including several linked to cytotoxic and costimulatory function that are expressed at higher levels in the TEMRA (effector memory T cells expressing CD45RA) subset, which is highly enriched for CD4 - CTLs, compared with CD4 + T cells in the central memory (TCM) and effector memory (TEM) subsets.

«Gene analysis adds layers to understanding how our livers function: Tracking gene expression patterns for 20,000 gene in 1,500 cells revealed a mosaic of activities.&raGene analysis adds layers to understanding how our livers function: Tracking gene expression patterns for 20,000 gene in 1,500 cells revealed a mosaic of activities.&ragene expression patterns for 20,000 gene in 1,500 cells revealed a mosaic of activities.&ragene in 1,500 cells revealed a mosaic of activities.»

First, samples of leaves from these plants are collected for in vitro cultures to isolate the fungi; then the DNA and RNA of fungi are extracted to sequence them and, through bioinformatic analysis, the researcher can determine the expression, the presence or absence of genes in the genomes of a species against each other.

Indeed, the team identified high variation in adjacent «normal» tissue samples, which are typically used as control samples for comparison in analyses based on mean gene expression.

Dartmouth Institute for Quantitative Biomedical Sciences (iQBS) researchers developed a new gene expression analysis approach for identifying cancer genes.

MEGENA (for Multiscale Embedded Gene Co-expression Network Analysis) projects gene expression data onto a three dimensional sphere, allowing scientists to study hierarchical organization patterns in complex networks that are characteristic of diseases such as cancer, obesity, and AlzheimeGene Co-expression Network Analysis) projects gene expression data onto a three dimensional sphere, allowing scientists to study hierarchical organization patterns in complex networks that are characteristic of diseases such as cancer, obesity, and Alzheimegene expression data onto a three dimensional sphere, allowing scientists to study hierarchical organization patterns in complex networks that are characteristic of diseases such as cancer, obesity, and Alzheimer's.

The second tool, SuperExactTest, establishes the very first theoretical framework for assessing the statistical significance of multi-set intersections and enables users to compare very large sets of data, such as gene sets produced from genome - wide association studies (GWAS) and differential expression analysis.

Methanosaeta were the dominant methane - producing microorganisms in the digesters and known to convert acetate to methane, but analysis of the gene expression in the digester revealed that Methanosaeta were also highly expressing genes for converting carbon dioxide to methane.

Based on analyses of over 600 drug and breast cancer cell pairings, researchers showed that, for some cells, drug exposure can cause significant changes in gene expression — indicating the successful action of a drug on its target — without affecting cell growth or survival.

To begin to explore the cellular mechanisms that might be responsible for this response, histological analysis revealed less severe disruption of spermatogenesis and gene expression studies suggested that an interplay of ATP - binding cassette (ABC) efflux transporters and solute carrier (SLC) influx transporters in the testicular cells might be involved.

In the current study, the researchers used infradian cyclic locomotor activity in the mutant mice as a proxy for mood - associated changes, and examined their molecular basis in the brain by conducting prediction analyses of the gene expression data.

For expression analysis in mice, we used microarray data as described above to select two internal control genes, cyclophilin B (Cphn2) and ribosomal protein S3 (Rps3).

Topics for the scientific sessions are: Single cell genomics and gene expression Genetic interactions RNAi and somatic cell genetics Protein - DNA interactions Cancer The meeting also highlights existing opportunities for academic and industrial researchers to access automated cell - based and biochemical technologies based at the Karolinska High Throughput Center; home to one of the most sophisticated, state - of - the - art, ultra-high performance liquid handling and analysis platforms in Europe.

g (acceleration due to gravity) G (gravitational constant) G star G1.9 +0.3 gabbro Gabor, Dennis (1900 — 1979) Gabriel's Horn Gacrux (Gamma Crucis) gadolinium Gagarin, Yuri Alexeyevich (1934 — 1968) Gagarin Cosmonaut Training Center GAIA Gaia Hypothesis galactic anticenter galactic bulge galactic center Galactic Club galactic coordinates galactic disk galactic empire galactic equator galactic habitable zone galactic halo galactic magnetic field galactic noise galactic plane galactic rotation galactose Galatea GALAXIES galaxy galaxy cannibalism galaxy classification galaxy formation galaxy interaction galaxy merger Galaxy, The Galaxy satellite series Gale Crater Galen (c. AD 129 — c. 216) galena GALEX (Galaxy Evolution Explorer) Galilean satellites Galilean telescope Galileo (Galilei, Galileo)(1564 — 1642) Galileo (spacecraft) Galileo Europa Mission (GEM) Galileo satellite navigation system gall gall bladder Galle, Johann Gottfried (1812 — 1910) gallic acid gallium gallon gallstone Galois, Évariste (1811 — 1832) Galois theory Galton, Francis (1822 — 1911) Galvani, Luigi (1737 — 1798) galvanizing galvanometer game game theory GAMES AND PUZZLES gamete gametophyte Gamma (Soviet orbiting telescope) Gamma Cassiopeiae Gamma Cassiopeiae star gamma function gamma globulin gamma rays Gamma Velorum gamma - ray burst gamma - ray satellites Gamow, George (1904 — 1968) ganglion gangrene Ganswindt, Hermann (1856 — 1934) Ganymede «garbage theory», of the origin of life Gardner, Martin (1914 — 2010) Garneau, Marc (1949 ---RRB- garnet Garnet Star (Mu Cephei) Garnet Star Nebula (IC 1396) garnierite Garriott, Owen K. (1930 ---RRB- Garuda gas gas chromatography gas constant gas giant gas laws gas - bounded nebula gaseous nebula gaseous propellant gaseous - propellant rocket engine gasoline Gaspra (minor planet 951) Gassendi, Pierre (1592 — 1655) gastric juice gastrin gastrocnemius gastroenteritis gastrointestinal tract gastropod gastrulation Gatewood, George D. (1940 ---RRB- Gauer - Henry reflex gauge boson gauge theory gauss (unit) Gauss, Carl Friedrich (1777 — 1855) Gaussian distribution Gay - Lussac, Joseph Louis (1778 — 1850) GCOM (Global Change Observing Mission) Geber (c. 720 — 815) gegenschein Geiger, Hans Wilhelm (1882 — 1945) Geiger - Müller counter Giessler tube gel gelatin Gelfond's theorem Gell - Mann, Murray (1929 ---RRB- GEM «gemination,» of martian canals Geminga Gemini (constellation) Gemini Observatory Gemini Project Gemini - Titan II gemstone gene gene expression gene mapping gene pool gene therapy gene transfer General Catalogue of Variable Stars (GCVS) general precession general theory of relativity generation ship generator Genesis (inflatable orbiting module) Genesis (sample return probe) genetic code genetic counseling genetic disorder genetic drift genetic engineering genetic marker genetic material genetic pool genetic recombination genetics GENETICS AND HEREDITY Geneva Extrasolar Planet Search Program genome genome, interstellar transmission of genotype gentian violet genus geoboard geode geodesic geodesy geodesy satellites geodetic precession Geographos (minor planet 1620) geography GEOGRAPHY Geo - IK geologic time geology GEOLOGY AND PLANETARY SCIENCE geomagnetic field geomagnetic storm geometric mean geometric sequence geometry GEOMETRY geometry puzzles geophysics GEOS (Geodetic Earth Orbiting Satellite) Geosat geostationary orbit geosynchronous orbit geosynchronous / geostationary transfer orbit (GTO) geosyncline Geotail (satellite) geotropism germ germ cells Germain, Sophie (1776 — 1831) German Rocket Society germanium germination Gesner, Konrad von (1516 — 1565) gestation Get Off the Earth puzzle Gettier problem geyser g - force GFO (Geosat Follow - On) GFZ - 1 (GeoForschungsZentrum) ghost crater Ghost Head Nebula (NGC 2080) ghost image Ghost of Jupiter (NGC 3242) Giacconi, Riccardo (1931 ---RRB- Giacobini - Zinner, Comet (Comet 21P /) Giaever, Ivar (1929 ---RRB- giant branch Giant Magellan Telescope giant molecular cloud giant planet giant star Giant's Causeway Giauque, William Francis (1895 — 1982) gibberellins Gibbs, Josiah Willard (1839 — 1903) Gibbs free energy Gibson, Edward G. (1936 ---RRB- Gilbert, William (1544 — 1603) gilbert (unit) Gilbreath's conjecture gilding gill gill (unit) Gilruth, Robert R. (1913 — 2000) gilsonite gimbal Ginga ginkgo Giotto (ESA Halley probe) GIRD (Gruppa Isutcheniya Reaktivnovo Dvisheniya) girder glacial drift glacial groove glacier gland Glaser, Donald Arthur (1926 — 2013) Glashow, Sheldon (1932 ---RRB- glass GLAST (Gamma - ray Large Area Space Telescope) Glauber, Johann Rudolf (1607 — 1670) glaucoma glauconite Glenn, John Herschel, Jr. (1921 ---RRB- Glenn Research Center Glennan, T (homas) Keith (1905 — 1995) glenoid cavity glia glial cell glider Gliese 229B Gliese 581 Gliese 67 (HD 10307, HIP 7918) Gliese 710 (HD 168442, HIP 89825) Gliese 86 Gliese 876 Gliese Catalogue glioma glissette glitch Global Astrometric Interferometer for Astrophysics (GAIA) Global Oscillation Network Group (GONG) Globalstar globe Globigerina globular cluster globular proteins globule globulin globus pallidus GLOMR (Global Low Orbiting Message Relay) GLONASS (Global Navigation Satellite System) glossopharyngeal nerve Gloster E. 28/39 glottis glow - worm glucagon glucocorticoid glucose glucoside gluon Glushko, Valentin Petrovitch (1908 — 1989) glutamic acid glutamine gluten gluteus maximus glycerol glycine glycogen glycol glycolysis glycoprotein glycosidic bond glycosuria glyoxysome GMS (Geosynchronous Meteorological Satellite) GMT (Greenwich Mean Time) Gnathostomata gneiss Go Go, No - go goblet cell GOCE (Gravity field and steady - state Ocean Circulation Explorer) God Goddard, Robert Hutchings (1882 — 1945) Goddard Institute for Space Studies Goddard Space Flight Center Gödel, Kurt (1906 — 1978) Gödel universe Godwin, Francis (1562 — 1633) GOES (Geostationary Operational Environmental Satellite) goethite goiter gold Gold, Thomas (1920 — 2004) Goldbach conjecture golden ratio (phi) Goldin, Daniel Saul (1940 ---RRB- gold - leaf electroscope Goldstone Tracking Facility Golgi, Camillo (1844 — 1926) Golgi apparatus Golomb, Solomon W. (1932 — 2016) golygon GOMS (Geostationary Operational Meteorological Satellite) gonad gonadotrophin - releasing hormone gonadotrophins Gondwanaland Gonets goniatite goniometer gonorrhea Goodricke, John (1764 — 1786) googol Gordian Knot Gordon, Richard Francis, Jr. (1929 — 2017) Gore, John Ellard (1845 — 1910) gorge gorilla Gorizont Gott loop Goudsmit, Samuel Abraham (1902 — 1978) Gould, Benjamin Apthorp (1824 — 1896) Gould, Stephen Jay (1941 — 2002) Gould Belt gout governor GPS (Global Positioning System) Graaf, Regnier de (1641 — 1673) Graafian follicle GRAB graben GRACE (Gravity Recovery and Climate Experiment) graceful graph gradient Graham, Ronald (1935 ---RRB- Graham, Thomas (1805 — 1869) Graham's law of diffusion Graham's number GRAIL (Gravity Recovery and Interior Laboratory) grain (cereal) grain (unit) gram gram - atom Gramme, Zénobe Théophile (1826 — 1901) gramophone Gram's stain Gran Telescopio Canarias (GTC) Granat Grand Tour grand unified theory (GUT) Grandfather Paradox Granit, Ragnar Arthur (1900 — 1991) granite granulation granule granulocyte graph graph theory graphene graphite GRAPHS AND GRAPH THEORY graptolite grass grassland gravel graveyard orbit gravimeter gravimetric analysis Gravitational Biology Facility gravitational collapse gravitational constant (G) gravitational instability gravitational lens gravitational life gravitational lock gravitational microlensing GRAVITATIONAL PHYSICS gravitational slingshot effect gravitational waves graviton gravity gravity gradient gravity gradient stabilization Gravity Probe A Gravity Probe B gravity - assist gray (Gy) gray goo gray matter grazing - incidence telescope Great Annihilator Great Attractor great circle Great Comets Great Hercules Cluster (M13, NGC 6205) Great Monad Great Observatories Great Red Spot Great Rift (in Milky Way) Great Rift Valley Great Square of Pegasus Great Wall greater omentum greatest elongation Green, George (1793 — 1841) Green, Nathaniel E. Green, Thomas Hill (1836 — 1882) green algae Green Bank Green Bank conference (1961) Green Bank Telescope green flash greenhouse effect greenhouse gases Green's theorem Greg, Percy (1836 — 1889) Gregorian calendar Grelling's paradox Griffith, George (1857 — 1906) Griffith Observatory Grignard, François Auguste Victor (1871 — 1935) Grignard reagent grike Grimaldi, Francesco Maria (1618 — 1663) Grissom, Virgil (1926 — 1967) grit gritstone Groom Lake Groombridge 34 Groombridge Catalogue gross ground, electrical ground state ground - track group group theory GROUPS AND GROUP THEORY growing season growth growth hormone growth hormone - releasing hormone growth plate Grudge, Project Gruithuisen, Franz von Paula (1774 — 1852) Grus (constellation) Grus Quartet (NGC 7552, NGC 7582, NGC 7590, and NGC 7599) GSLV (Geosynchronous Satellite Launch Vehicle) g - suit G - type asteroid Guericke, Otto von (1602 — 1686) guanine Guiana Space Centre guidance, inertial Guide Star Catalog (GSC) guided missile guided missiles, postwar development Guillaume, Charles Édouard (1861 — 1938) Gulf Stream (ocean current) Gulfstream (jet plane) Gullstrand, Allvar (1862 — 1930) gum Gum Nebula gun metal gunpowder Gurwin Gusev Crater gut Gutenberg, Johann (c. 1400 — 1468) Guy, Richard Kenneth (1916 ---RRB- guyot Guzman Prize gymnosperm gynecology gynoecium gypsum gyrocompass gyrofrequency gyropilot gyroscope gyrostabilizer Gyulbudagian's Nebula (HH215)

For instance, our «activity centers» analysis requires translation from protein or gene identifiers in a pathway database to Affymetrix probe set identifiers or other gene expression array platform identifiers.

Our technological expertise ranges from the most fundamental approaches to study membrane transport in lymphocytes and dendritic cells (subcellular compartmentalization, intravital microscopy, phagosomal functions), the systematic analysis of gene expression and it regulation (RNAseq, Chip Seq, proteomics) and physiological and pathological immune responses (mouse models for cancer immunity, immunomodulation / vaccination, human clinical studies in cancer).

Inspired by the knowledge - based analysis methods developed for gene expression data analysis, we implemented methods for examining functionally - related SNPs as a group.

Using gene expression profile (GEP) tests like Oncotype DX to inform treatment decision - making for breast cancer is likely to be less cost - effective in community oncology practice than previous estimates had suggested, according to an economic simulation analysis published in the Journal of Clinical Oncology.

Deeper analyses, revealed that the RNA expression pattern of a rare variant of the NCAN gene was highly correlated with that of the previously suggested susceptibility genes for developmental dyslexia.

As mRNA isolation is simple and since DNA microarrays are a proven genomics reagent for monitoring differential gene expression, a genome - wide expression analysis may be the fastest and most efficient method for identifying additional candidate effectors of colony queen number.

We have developed new BN algorithms and tools for analysis of gene interaction networks using high throughput gene expression data.

Along with the cellular genes emphasized from the microarray analysis, two genes that are suspected to be involved in the scleractinian coral calcification process were tested for expression (Figs. 5A and 5B).

The final set of covariates used for regression analysis of PMI and gene expression is presented in Supplementary Table 5.

PromoKine offers a wide range of well proven products for cell biology research such as kits and reagents for cell analysis, apoptosis research, cell transfection, fluorescent labeling, gene cloning & expression, mycoplasma detection and elimination as well as numerous antibodies, ELISAs, cytokines and growth factors.

Comparison of mRNA and protein expression revealed distinct expression profiles for many genes and underscores the importance of multi-omic analysis in single cells.

The idea behind our work in bioinformatics is to build on existing methodologies regarding large - scale data analysis and to develop novel algorithms for processing and merging complex biological data from multiple sources such as gene expression data, sequence information, protein - to - protein interaction data, clinico - pathological data etc..

10x Genomics» Chromium Solutions are the industry standard for single cell digital gene expression and cellular heterogeneity analysis.

Proteomic analysis to profile protein abundance resulted in the identification and relative quantification for 912 proteins with two or more unique peptides and 86 proteins with significant abundance changes after treatment with the neurotoxins, while microarray analyses to profile gene expression revealed 181 genes with significant changes in mRNA after treatment.

Dr Gilchrist said: «This study suggests that we may improve significantly on the widely used analysis methods for determining gene expression levels from high throughput sequence data: absolute quantitation offers a much sounder basis for determining changes in gene expression level, a measure widely used to determine the consequence of genetic, chemical or physical disturbances in living systems.»

For analyses of gene expression in embryos, cryopreserved day 3 embryos and day 6 blastocysts from 10 IVF / ICSI patients were thawed via an embryo thawing kit (Cooper Surgical) or a blastocyst thawing kit (Cooper Surgical), respectively, according to manufacturer's protocol.

The differential expression analysis between males and females for all genes in each tissue is provided in Dataset S3.

For some applications, a qPCR wil... Keywords: Amplification, Cancer, Capillary electrophoresis, Cell culture, Degradations, Detection methods, Electrophoresis, Gene expression, Growth factors, Indicators, Microarray Analysis, Polymerase chain reaction, Polymerase chain reaction - quantitative, Purification, RNA purification, Sample preparations, Transcription

Thus, we turned to the laboratory animal model, the mouse, for an in - depth gene expression and functional analysis.

However, a systematic analysis addressing their requirements for the temporal regulation of mitotic gene expression has yet to be performed.

There's also a lot of work under way for TCGA, not just the 6K capture project, but also adjunct analyses of gene expression, DNA copy number, microRNA, and DNA methylation data being generated on TCGA samples.

Because both IRF - 1 and the complex IRF - 9 / STAT2 could bind the RIG - G gene, we therefore conducted a detailed functional analysis on RIG - G promoter to precise the molecular basis for RIG - G expression.

We therefore focused our analysis of differential gene expression on those genes that have at least a 25 % probability of being within the highly - expressed distribution: 17,698 genes in the VNO and 17,983 in the OM (see Materials and methods for details).

Epistatic and Cross Tissue Analysis for Human Gene Expression Traits $ 594,000 (2 years) Jonathan K. Pritchard, Ph.D., University of Chicago Statistical Analysis of Gene eQTLs $ 676,000 (2 years) Ivan Rusyn, M.D., Ph.D., Andrew B. Nobel, Ph.D. and Fred A. Wright, Ph.D., University of North Carolina at Chapel Hill Facilitating GTEx, disease and Gene - Environment Analyses via Fast Expression eQTL $ 659,000 (2 years)

Cultures of unfixed ES cells were sorted into four populations for parallel analysis of gene expression and development in cell culture.

Over the next decade, he authored key papers predicting the number of genetic markers required for GWAS in humans, and pioneered the field of genetics of global gene expression (eQTL analysis).

For the analysis of gene expression in blastocysts, total RNA was isolated and purified from three pools of 10 blastocysts produced in vivo or in vitro (KSOM supplemented with 10 % FCS or in the presence of 1 g / L BSA) using the RNeasy Micro Kit (Qiagen)[18].

Li W, Turner A, Aggarwal P, Matter A, Storvick E, Arnett DK, Broeckel U. Comprehensive evaluation of AmpliSeq transcriptome, a novel targeted whole transcriptome RNA sequencing methodology for global gene expression analysis.