A quantitative RT-PCR platform for high-throughput expression profiling of 2500 rice transcription factors
about
A novel pathogenicity gene is required in the rice blast fungus to suppress the basal defenses of the hostAssessing reference genes for accurate transcript normalization using quantitative real-time PCR in pearl millet [Pennisetum glaucum (L.) R. Br]Action of gibberellins on growth and metabolism of Arabidopsis plants associated with high concentration of carbon dioxideA salicylic acid-induced rice (Oryza sativa L.) transcription factor OsWRKY77 is involved in disease resistance of Arabidopsis thaliana.DATFAP: a database of primers and homology alignments for transcription factors from 13 plant speciesTranscript profiling of crown rootless1 mutant stem base reveals new elements associated with crown root development in rice.EBE, an AP2/ERF transcription factor highly expressed in proliferating cells, affects shoot architecture in Arabidopsis.Identification of CROWN ROOTLESS1-regulated genes in rice reveals specific and conserved elements of postembryonic root formation.Transcription Factor Arabidopsis Activating Factor1 Integrates Carbon Starvation Responses with Trehalose Metabolism.Analysis of knockout mutants reveals non-redundant functions of poly(ADP-ribose)polymerase isoforms in ArabidopsisDynamic patterns of expression for genes regulating cytokinin metabolism and signaling during rice inflorescence developmentCritical evaluation of methods used to determine amplification efficiency refutes the exponential character of real-time PCR.QuantPrime--a flexible tool for reliable high-throughput primer design for quantitative PCR.Identification and validation of reference genes for quantitative RT-PCR normalization in wheat.Normalization of qRT-PCR data: the necessity of adopting a systematic, experimental conditions-specific, validation of references.Large-scale analysis of putative soybean regulatory gene expression identifies a Myb gene involved in soybean nodule development.Defining reference genes in Oryza sativa using organ, development, biotic and abiotic transcriptome datasets.Stable Internal Reference Genes for Normalizing Real-Time Quantitative PCR in Baphicacanthus cusia under Hormonal Stimuli and UV Irradiation, and in Different Plant Organs.Transpositional reactivation of the Dart transposon family in rice lines derived from introgressive hybridization with Zizania latifolia.Common and distinct organ and stress responsive transcriptomic patterns in Oryza sativa and Arabidopsis thaliana.Expression of the Aeluropus littoralis AlSAP Gene Enhances Rice Yield under Field Drought at the Reproductive Stage.Salt stress and senescence: identification of cross-talk regulatory components.Reference genes for quantitative reverse transcription-polymerase chain reaction expression studies in wild and cultivated peanutValidation of a set of reference genes to study response to herbicide stress in grasses.Rice ORMDL controls sphingolipid homeostasis affecting fertility resulting from abnormal pollen developmentGenome-wide analysis of the complex transcriptional networks of rice developing seeds.Egg laying of cabbage white butterfly (Pieris brassicae) on Arabidopsis thaliana affects subsequent performance of the larvaeGlobal expression profiling of transcription factor genes provides new insights into pathogenicity and stress responses in the rice blast fungusExtensive modulation of the transcription factor transcriptome during somatic embryogenesis in Arabidopsis thalianaEvaluation and validation of reference genes for normalization of quantitative real-time PCR based gene expression studies in peanutGenome-wide identification of regulatory elements and reconstruction of gene regulatory networks of the green alga Chlamydomonas reinhardtii under carbon deprivation.Global expression profiling of low temperature induced genes in the chilling tolerant japonica rice Jumli MarshiEvaluation and validation of reference genes for qRT-PCR normalization in Frankliniella occidentalis (Thysanoptera: Thripidae)Transcriptional profiling of Medicago truncatula during Erysiphe pisi infection.Selection of Reference Genes for Gene Expression Normalization in Peucedanum praeruptorum Dunn under Abiotic Stresses, Hormone Treatments and Different Tissues.Transcription factor OsHsfC1b regulates salt tolerance and development in Oryza sativa ssp. japonica.Expression of ROS-responsive genes and transcription factors after metabolic formation of H(2)O(2) in chloroplasts.Tissue specificity and differential expression of transcription factors in tomato provide hints of unique regulatory networks during fruit ripening.A community resource for high-throughput quantitative RT-PCR analysis of transcription factor gene expression in Medicago truncatula.The development of a phosphite-mediated fertilization and weed control system for rice.
P2860
Q28475356-69EC0B2D-8CF0-42BC-91CC-64302413F4BAQ28656289-F3BBE698-CCEB-49A8-A3CD-A9B2BFC03C45Q28710473-0AABDDFA-75E2-4435-BC3E-4DF616D61056Q30422301-4FEE8696-660A-4280-B801-8266AE3C1EB5Q33325749-A6F1B8C4-B6B2-48AE-955C-5955943540FCQ33351899-692C9A6D-09C3-407D-9744-AADF2CD1F626Q33355736-CD78D206-F95A-4D4D-A5A7-276AFA85471AQ33359519-C526785B-E57D-4A91-8B2E-C5D02731B0A7Q33361083-DA72EFF3-2C4B-4A7B-94E1-7A3098308FA2Q33361642-07A93C7C-DA03-4508-85AE-04FE1842AE0CQ33365233-F9D7A6E0-4EDB-4F63-B76A-AF17ACDA176BQ33381374-203A4869-0985-4F24-A334-7BF10321F3CEQ33381878-BDACA9F3-C290-4045-BC15-21A37228628CQ33411039-585FF0E4-657D-4A6B-9286-A93F12EAAEEAQ33415275-710FFCDB-D2AA-491A-A56F-375160711813Q33503508-00B0C475-330E-4AF9-AC9E-C3BF20081CF6Q33547734-98D1D437-EB32-49BA-BFAD-8426E6B24F24Q33627725-43247F71-B9A2-46BB-8B95-69DD71A34319Q33675473-FD2C074B-785B-4EDF-AB69-9D3AADE5F23DQ33755395-C210397B-81F6-4064-9CEE-89CED26475B9Q33785763-469E1D73-19CA-47CE-A719-D3CD142C3213Q33931718-AA3B9442-441C-46DB-8DD1-27293F81C144Q34015277-95275EAA-9961-4D96-A9C3-76761C1D46A2Q34123033-2BF06ABC-D3A4-40E8-AE2F-23832FC5B335Q34142159-74F6A889-E24B-4EB9-B97C-45878B5374A8Q34170498-BE12AEBC-1E52-4629-9001-A36A5D1EF351Q34635391-07E9E5FC-6C6B-47B4-8181-0E53290C4EFDQ34769257-CD38E134-D21E-49BB-AF36-4C4451031A61Q34853600-17682EE5-F8F5-4281-88F7-ACA4A56DC19FQ35027971-FBDAF097-486F-4A0C-940F-57D95D7963ECQ35041536-157BF462-25C9-4EC2-840A-00BB333DC8B5Q35069753-62CFE0B1-DC2E-4471-8575-3C395A3FF5C6Q35377290-CBB93275-431A-466B-8CF3-0D42A3F9E7FFQ35833675-D8C0FB94-3414-43BA-AC22-7CADDD2D3524Q35972516-24A287F3-D0D4-43FF-9BFB-331EECAD9B8DQ35975603-BF29241E-66A1-4319-B73D-D954F7001260Q36361275-4DA8E910-A0A6-426F-B776-1F6F89187723Q36628194-12481639-FD5B-46B2-BAFC-477D4A4EF221Q36798583-BA9632F2-D224-42E5-A210-0A900B45889DQ36830279-6E721CAA-FBBD-46A3-80F8-0DAA8E55036A
P2860
A quantitative RT-PCR platform for high-throughput expression profiling of 2500 rice transcription factors
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
A quantitative RT-PCR platform ...... 500 rice transcription factors
@ast
A quantitative RT-PCR platform ...... 500 rice transcription factors
@en
type
label
A quantitative RT-PCR platform ...... 500 rice transcription factors
@ast
A quantitative RT-PCR platform ...... 500 rice transcription factors
@en
prefLabel
A quantitative RT-PCR platform ...... 500 rice transcription factors
@ast
A quantitative RT-PCR platform ...... 500 rice transcription factors
@en
P2093
P2860
P356
P1433
P1476
A quantitative RT-PCR platform ...... 500 rice transcription factors
@en
P2093
Bernd Mueller-Roeber
Camila Caldana
Slobodan Ruzicic
P2860
P2888
P356
10.1186/1746-4811-3-7
P577
2007-06-08T00:00:00Z
P5875
P6179
1013018295