Selecting control genes for RT-QPCR using public microarray data - Wikidata - awgldk - TriplyDB

Selecting control genes for RT-QPCR using public microarray data

Selecting control genes for RT-QPCR using public microarray data

http://www.wikidata.org/entity/Q33404896

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Mll5 is required for normal spermatogenesis Identification of reference genes across physiological states for qRT-PCR through microarray meta-analysis Single cell profiling of circulating tumor cells: transcriptional heterogeneity and diversity from breast cancer cell lines MATE2 Expression Is Associated with Cancer Cell Response to Metformin Analysis of Gene Expression in an Inbred Line of Soft-Shell Clams (Mya arenaria) Displaying Growth Heterosis: Regulation of Structural Genes and the NOD2 Pathway Identification of condition-specific reference genes from microarray data for locusts exposed to hypobaric hypoxia.Selecting housekeeping genes as references for the normalization of quantitative PCR data in breast cancer.Identification of stably expressed reference genes for RT-qPCR data normalization in defined localizations of cyclic bovine ovaries.Normalization with genes encoding ribosomal proteins but not GAPDH provides an accurate quantification of gene expressions in neuronal differentiation of PC12 cells.Genome-wide identification of new Wnt/beta-catenin target genes in the human genome using CART method.Microarray analysis of relative gene expression stability for selection of internal reference genes in the rhesus macaque brain.Determination of reference genes for circadian studies in different tissues and mouse strains A pipeline to determine RT-QPCR control genes for evolutionary studies: application to primate gene expression across multiple tissues RefGenes: identification of reliable and condition specific reference genes for RT-qPCR data normalization.Selection of housekeeping genes for use in quantitative reverse transcription PCR assays on the murine cornea.Expectations, validity, and reality in gene expression profiling.Microarray-driven validation of reference genes for quantitative real-time polymerase chain reaction in a rat vocal fold model of mucosal injury How to perform RT-qPCR accurately in plant species? A case study on flower colour gene expression in an azalea (Rhododendron simsii hybrids) mapping population RNA-Seq reveals spliceosome and proteasome genes as most consistent transcripts in human cancer cells.Identification of novel reference genes based on MeSH categories.Discovery of a 29-gene panel in peripheral blood mononuclear cells for the detection of colorectal cancer and adenomas using high throughput real-time PCR.Cardiac proteasome activity in muscle ring finger-1 null mice at rest and following synthetic glucocorticoid treatment.Single-cell analysis of circulating tumor cells identifies cumulative expression patterns of EMT-related genes in metastatic prostate cancer.Identification and Validation of Reference Genes for RT-qPCR Studies of Hypoxia in Squamous Cervical Cancer Patients High-throughput identification of reference genes for research and clinical RT-qPCR analysis of breast cancer samples.Identification of genes with consistent methylation levels across different human tissues.Reference genes for measuring mRNA expression.Automated identification of reference genes based on RNA-seq data.Systematic identification of human housekeeping genes possibly useful as references in gene expression studies.Adrenodemedullation activates the Ca2+-dependent proteolysis in soleus muscles from rats exposed to cold.Effects of rehydration nutrients on H2S metabolism and formation of volatile sulfur compounds by the wine yeast VL3.Gene expression studies of reference genes for quantitative real-time PCR: an overview in insects.Effect of short-term cold exposure on skeletal muscle protein breakdown in rats.The Pathway Coexpression Network: Revealing pathway relationships.Identification of reference genes for gene expression studies during seed germination and seedling establishment in Ricinus communis L A minimal set of internal control genes for gene expression studies in head and neck squamous cell carcinoma

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P2860

Selecting control genes for RT-QPCR using public microarray data

http://www.wikidata.org/entity/Q33404896

description

2009 nî lūn-bûn

@nan

2009 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի փետրվարին հրատարակված գիտական հոդված

@hy

2009年の論文

@ja

2009年論文

@yue

2009年論文

@zh-hant

2009年論文

@zh-hk

2009年論文

@zh-mo

2009年論文

@zh-tw

2009年论文

@wuu

name

Selecting control genes for RT-QPCR using public microarray data

@ast

Selecting control genes for RT-QPCR using public microarray data

@en

type

label

Selecting control genes for RT-QPCR using public microarray data

@ast

Selecting control genes for RT-QPCR using public microarray data

@en

prefLabel

Selecting control genes for RT-QPCR using public microarray data

@ast

Selecting control genes for RT-QPCR using public microarray data

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BMC Bioinformatics

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Selecting control genes for RT-QPCR using public microarray data

@en

P2093

Darlene R Goldstein

http://www.w3.org/2001/XMLSchema#string

Janine Antonov

http://www.w3.org/2001/XMLSchema#string

Mauro Delorenzi

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Pratyaksha Wirapati

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Rolf Jaggi

http://www.w3.org/2001/XMLSchema#string

P2860

Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes

Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts.

A gene-expression signature as a predictor of survival in breast cancer

X chromosomal abnormalities in basal-like human breast cancer

A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer

Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets

Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer

Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments

Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis

The molecular portraits of breast tumors are conserved across microarray platforms.

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