Identification of novel reference genes using multiplatform expression data and their validation for quantitative gene expression analysis. - Wikidata - awgldk - TriplyDB

Identification of novel reference genes using multiplatform expression data and their validation for quantitative gene expression analysis.

Identification of novel reference genes using multiplatform expression data and their validation for quantitative gene expression analysis.

http://www.wikidata.org/entity/Q33479558

about

Cancer-associated splicing variant of tumor suppressor AIMP2/p38: pathological implication in tumorigenesis Neuronal Hyperactivity Disturbs ATP Microgradients, Impairs Microglial Motility, and Reduces Phagocytic Receptor Expression Triggering Apoptosis/Microglial Phagocytosis Uncoupling Identification of reference genes across physiological states for qRT-PCR through microarray meta-analysis High throughput screening for small molecule enhancers of the interferon signaling pathway to drive next-generation antiviral drug discovery Validation of reference genes aiming accurate normalization of qRT-PCR data in Dendrocalamus latiflorus Munro A sequence-based approach to identify reference genes for gene expression analysis Biomarker-based classification of bacterial and fungal whole-blood infections in a genome-wide expression study.The Orthology Clause in the Next Generation Sequencing Era: Novel Reference Genes Identified by RNA-seq in Humans Improve Normalization of Neonatal Equine Ovary RT-qPCR Data.Normalization with genes encoding ribosomal proteins but not GAPDH provides an accurate quantification of gene expressions in neuronal differentiation of PC12 cells.Identification of valid reference genes for gene expression studies of human stomach cancer by reverse transcription-qPCR Analysis of qPCR data by converting exponentially related Ct values into linearly related X0 values.Functional genomics of 5- to 8-cell stage human embryos by blastomere single-cell cDNA analysis RefGenes: identification of reliable and condition specific reference genes for RT-qPCR data normalization.Derepression of CLDN3 and CLDN4 during ovarian tumorigenesis is associated with loss of repressive histone modifications Lysosomal trafficking, antigen presentation, and microbial killing are controlled by the Arf-like GTPase Arl8b Microarray-driven validation of reference genes for quantitative real-time polymerase chain reaction in a rat vocal fold model of mucosal injury Selection of reference genes for quantitative gene expression studies in Platycladus orientalis (Cupressaceae) Using real-time PCR Low SP1 expression differentially affects intestinal-type compared with diffuse-type gastric adenocarcinoma Cross-platform microarray meta-analysis for the mouse jejunum selects novel reference genes with highly uniform levels of expression.Evidence based selection of commonly used RT-qPCR reference genes for the analysis of mouse skeletal muscle Selection of Reference Genes for Quantitative Gene Expression in Porcine Mesenchymal Stem Cells Derived from Various Sources along with Differentiation into Multilineages.PlantRGS: a web server for the identification of most suitable candidate reference genes for quantitative gene expression studies in plants.Do housekeeping genes exist?Reference Genes in the Pathosystem Phakopsora pachyrhizi/ Soybean Suitable for Normalization in Transcript Profiling.Inflammation Modulates RLIP76/RALBP1 Electrophile-Glutathione Conjugate Transporter and Housekeeping Genes in Human Blood-Brain Barrier Endothelial Cells.MeCP2 binds to nucleosome free (linker DNA) regions and to H3K9/H3K27 methylated nucleosomes in the brain.Expression of platelet-derived growth factor BB, erythropoietin and erythropoietin receptor in canine and feline osteosarcoma.A strategy to identify housekeeping genes suitable for analysis in breast cancer diseases.Identification of reference genes for qPCR analysis during hASC long culture maintenance.Expression of Ribonucleotide Reductase Subunit-2 and Thymidylate Synthase Correlates with Poor Prognosis in Patients with Resected Stages I-III Non-Small Cell Lung Cancer.Tob1 induces apoptosis and inhibits proliferation, migration and invasion of gastric cancer cells by activating Smad4 and inhibiting β‑catenin signaling Impaired in vivo binding of MeCP2 to chromatin in the absence of its DNA methyl-binding domain High-throughput identification of reference genes for research and clinical RT-qPCR analysis of breast cancer samples.Stem cell growth factor receptor in canine vs. feline osteosarcomas.Suppression of the Eag1 potassium channel sensitizes glioblastoma cells to injury caused by temozolomide Identification of reliable reference genes for qRT-PCR studies of the developing mouse mammary gland.A new molecular prognostic score for predicting the risk of distant metastasis in patients with HR+/HER2- early breast cancer.Systematic identification of human housekeeping genes possibly useful as references in gene expression studies.The involvement of Eag1 potassium channels and miR-34a in rotenone-induced death of dopaminergic SH-SY5Y cells.Interferon Gamma potentiates the injury caused by MPP(+) on SH-SY5Y cells, which is attenuated by the nitric oxide synthases inhibition.

P2860

Q21563389-7B30552B-0612-4A06-8BCC-A4B2547727D5 Q27342713-3243F8B5-371E-483D-9151-86BD54CDE42B Q28386490-74043262-D089-40B4-87EC-D5C02B38EDD4 Q28483402-8E3CB65F-64E6-4FF5-BFB0-DB890EEEE4B3 Q30000656-972C64F7-46AD-4AEA-A7A7-4BAE812359A2 Q30496278-6A2418C4-A9F3-4532-9B48-6E1BF559E52C Q30917637-EB061521-3D8C-4526-98CB-54B536A1BE3F Q31017787-1CA265AB-2094-4E2E-9EE0-C8F6668EB6E7 Q33527544-EAE116FF-3722-4297-AE6E-56503A75BD67 Q33589557-2EE1AA2F-D265-497A-A66B-44428121924D Q33730484-4A8972C5-0F1D-42FA-A59D-FFF15C8AD1D8 Q33737671-5193C714-67D7-4D59-BC05-DB18366EAAB3 Q33850341-9239C15B-1ACC-474C-BDD1-9298CB7E55BE Q33884564-F1548A12-AA23-4BF7-8E6E-28BD57504620 Q33975912-E428EA00-49F6-4536-9C28-C6AE0F629D37 Q34182029-4CC4CD5C-309B-4A78-8668-4D94B8B315CB Q34221360-9B92A41E-5D27-48A8-A063-7ADD02DDB200 Q34598148-EF2B810B-A5DB-4FE9-97E6-AC2D99549141 Q34721006-1269F7F6-004B-4EFA-8C1E-19373CB04944 Q35093707-C8DD0A62-1F89-49D8-899A-5F9198C447AE Q35564086-E31EABB9-5616-43CC-A105-785241BF99D0 Q35570208-B1141F23-E1B5-446E-AF07-3EBCCBC615FE Q35603002-0A713FCB-1EC5-42DA-8B08-12FA6EC1557F Q35787220-C4E43BB6-28B4-4ECF-A710-177515426EC2 Q35787969-3D6966F0-BFC4-4A2E-957B-75BB1F90A6A7 Q35888788-DC5F07ED-3D97-41E5-8FB6-243474E2B656 Q36091444-938FD536-F3E2-4B56-B576-4F5584950503 Q36104381-B3A56DE8-FD1B-4B96-BBA5-50891FC424F6 Q36275460-184105B2-6F9B-445C-A72C-9C83CF6EBFA0 Q36333164-86C6A20D-8938-4BA7-9D97-C10AF1CB0F71 Q36639904-7E3BB5D9-0F5F-498F-9BC1-BB634495CB35 Q36814262-A27AAE1C-0AD1-4F1D-95B4-AAE9293558A9 Q37053690-24B4B2E8-3068-444D-BEE2-C18D365FBCAB Q37288229-F21EAF14-1475-412E-A402-B9899A848139 Q37288597-F20215A6-4879-48E1-832C-E2A597FB8C8B Q37345571-B0A9AE62-F78A-4511-BE82-50B1A5AB35D1 Q37723914-CA9712DE-3D53-4039-979D-E145A6C60EA8 Q38676373-29F6C506-3E5F-4FB1-A6D9-CB15C48757FD Q38713790-1F7EAAC1-A159-4517-BBBD-03171C0A1712 Q38949649-B1096498-9796-4845-B09C-656A033A0D10

P2860

Identification of novel reference genes using multiplatform expression data and their validation for quantitative gene expression analysis.

http://www.wikidata.org/entity/Q33479558

description

2009 nî lūn-bûn

@nan

2009 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի հուլիսին 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

Identification of novel refere ...... tive gene expression analysis.

@ast

Identification of novel refere ...... tive gene expression analysis.

@en

type

label

Identification of novel refere ...... tive gene expression analysis.

@ast

Identification of novel refere ...... tive gene expression analysis.

@en

prefLabel

Identification of novel refere ...... tive gene expression analysis.

@ast

Identification of novel refere ...... tive gene expression analysis.

@en

P1433

Q33479558-D7FE986C-2F1F-49CB-97A0-D7267B56EDD8

P1476

Q33479558-B613009E-508A-463A-B3CB-F89CC6EC4D70

P2093

Q33479558-15CCC7B1-BF3D-462E-AE06-EA1570599B37

Q33479558-2BC542A4-FC16-48BB-A299-F6B39E9386B9

Q33479558-35E66AA8-1085-4F05-92BA-FCF421E2AEE3

Q33479558-3B254033-84B6-42A9-BED3-2CE3B923A87A

Q33479558-6946354F-B7E3-4A0A-8301-817A5D20081A

Q33479558-767185FA-B959-4608-B134-C0E4BF9058D3

Q33479558-8E24EF46-0496-4BEA-B46E-1F69502EFE6D

Q33479558-A4DD970C-772E-45FC-8927-50571D72F649

Q33479558-BB914A77-EE73-4D96-8126-130A2161434E

Q33479558-E010BA46-5F68-48C7-A245-5A1B4B91DE42

P2860

Q33479558-0C5B9C34-0EBA-4212-BBA4-CACB526F8484

Q33479558-0CFBBDF1-D5A0-4BB3-A604-E24FDACF45FC

Q33479558-158D3A7B-58F2-47CD-BD8D-90A391467D98

Q33479558-1C4A833D-B387-4E3A-8B4A-A7D44A754458

Q33479558-24DE5BFA-C06D-45CD-AC91-C897A2A8D440

Q33479558-2B063E02-8D5D-47DC-8F3E-AEC463D1A77A

Q33479558-2BA54E1B-CD5E-49B3-9D84-79BBDF5FE9D1

Q33479558-2BEF5AA8-8039-4D52-8099-2B7309F3A166

Q33479558-34393A0D-0A19-40AF-8E9E-338A40C67A3C

Q33479558-3822AF98-0BB5-45D6-8C08-045830BF71A7

P304

Q33479558-385E4227-97A2-42DC-B382-6F981099ED38

P31

Q33479558-E22701E8-E2B9-43E2-8474-685D705FCA3F

P356

Q33479558-09440DCE-7B91-49DE-8B36-ECB851D1C72C

P407

Q33479558-53E1C917-0791-4E07-A618-A3D4B7DEA3E6

P433

Q33479558-45C3AD77-D2DE-46C7-99FE-CC64492CD62D

P478

Q33479558-D52A50F8-DF68-4F22-8A79-9063ABC9F711

P577

Q33479558-D3E74296-A7AC-48F4-BC5D-F2BB3C052BBA

P5875

Q33479558-6F093656-3619-4BC4-AF21-039E8C1EBEC5

P698

Q33479558-C30DE0EA-1D94-4599-B307-921A7E8BBDFC

P932

Q33479558-74294789-2458-4B33-85BF-56F34F8C8B14

P356

JOURNAL.PONE.0006162

P1433

P1476

Identification of novel refere ...... tive gene expression analysis.

@en

P2093

Ensel Oh

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

Mi Jeong Kwon

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

Mi Ra Roh

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

Sang Seok Koh

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

Seungmook Lee

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

Si Eun Kim

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

Taesung Park

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

Yangsoon Lee

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

Yong-Ho In

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

Yoon-La Choi

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

The FunCat, a functional annotation scheme for systematic classification of proteins from whole genomes

Statistical modeling for selecting housekeeper genes

SAGE is far more sensitive than EST for detecting low-abundance transcripts

Selection and validation of endogenous reference genes using a high throughput approach

Evaluation of the similarity of gene expression data estimated with SAGE and Affymetrix GeneChips

Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays

Guideline to reference gene selection for quantitative real-time PCR

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

Housekeeping genes as internal standards: use and limits

P304

e6162

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

P31

scholarly article

P356

10.1371/JOURNAL.PONE.0006162

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

P407

P433

7

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

P478

4

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

P577

2009-07-07T00:00:00Z

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

P5875

26654391

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

P698

19584937

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

P932

2703796

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