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Results: 1 to 20 of 71

Similar articles for PubMed (Select 17559651)

1.

A quantitative RT-PCR platform for high-throughput expression profiling of 2500 rice transcription factors.

Caldana C, Scheible WR, Mueller-Roeber B, Ruzicic S.

Plant Methods. 2007 Jun 8;3:7.

2.

Defining reference genes in Oryza sativa using organ, development, biotic and abiotic transcriptome datasets.

Narsai R, Ivanova A, Ng S, Whelan J.

BMC Plant Biol. 2010 Mar 31;10:56. doi: 10.1186/1471-2229-10-56.

3.

A community resource for high-throughput quantitative RT-PCR analysis of transcription factor gene expression in Medicago truncatula.

Kakar K, Wandrey M, Czechowski T, Gaertner T, Scheible WR, Stitt M, Torres-Jerez I, Xiao Y, Redman JC, Wu HC, Cheung F, Town CD, Udvardi MK.

Plant Methods. 2008 Jul 8;4:18. doi: 10.1186/1746-4811-4-18.

4.

Systematic sequence analysis and identification of tissue-specific or stress-responsive genes of NAC transcription factor family in rice.

Fang Y, You J, Xie K, Xie W, Xiong L.

Mol Genet Genomics. 2008 Dec;280(6):547-63. doi: 10.1007/s00438-008-0386-6. Epub 2008 Sep 24.

PMID:
18813954
5.

Validation of putative reference genes for gene expression studies in human hepatocellular carcinoma using real-time quantitative RT-PCR.

Cicinnati VR, Shen Q, Sotiropoulos GC, Radtke A, Gerken G, Beckebaum S.

BMC Cancer. 2008 Nov 27;8:350. doi: 10.1186/1471-2407-8-350.

6.

Transcript profiling reveals diverse roles of auxin-responsive genes during reproductive development and abiotic stress in rice.

Jain M, Khurana JP.

FEBS J. 2009 Jun;276(11):3148-62. doi: 10.1111/j.1742-4658.2009.07033.x. Epub 2009 Apr 28.

PMID:
19490115
7.

High-coverage profiling analysis of genes expressed during rice seed development, using an improved amplified fragment length polymorphism technique.

Suzuki K, Hattori A, Tanaka S, Masumura T, Abe M, Kitamura S.

Funct Integr Genomics. 2005 Apr;5(2):117-27. Epub 2004 Oct 13.

PMID:
15490295
8.

Sequence and expression analysis of the thioredoxin protein gene family in rice.

Nuruzzaman M, Gupta M, Zhang C, Wang L, Xie W, Xiong L, Zhang Q, Lian X.

Mol Genet Genomics. 2008 Aug;280(2):139-51. doi: 10.1007/s00438-008-0351-4. Epub 2008 May 20.

PMID:
18491141
9.

Setting up reverse transcription quantitative-PCR experiments.

Ambavaram MM, Pereira A.

Methods Mol Biol. 2011;678:45-54. doi: 10.1007/978-1-60761-682-5_4.

PMID:
20931371
10.

Expression analysis of calcium-dependent protein kinase gene family during reproductive development and abiotic stress conditions in rice (Oryza sativa L. ssp. indica).

Ray S, Agarwal P, Arora R, Kapoor S, Tyagi AK.

Mol Genet Genomics. 2007 Nov;278(5):493-505. Epub 2007 Jul 18.

PMID:
17636330
11.

Expression profiling of rice cultivars differing in their tolerance to long-term drought stress.

Degenkolbe T, Do PT, Zuther E, Repsilber D, Walther D, Hincha DK, Köhl KI.

Plant Mol Biol. 2009 Jan;69(1-2):133-53. doi: 10.1007/s11103-008-9412-7. Epub 2008 Oct 19.

12.

Peanut gene expression profiling in developing seeds at different reproduction stages during Aspergillus parasiticus infection.

Guo B, Chen X, Dang P, Scully BT, Liang X, Holbrook CC, Yu J, Culbreath AK.

BMC Dev Biol. 2008 Feb 4;8:12. doi: 10.1186/1471-213X-8-12.

13.

Selection of housekeeping genes for gene expression studies in larvae from flatfish using real-time PCR.

Infante C, Matsuoka MP, Asensio E, Cañavate JP, Reith M, Manchado M.

BMC Mol Biol. 2008 Mar 6;9:28. doi: 10.1186/1471-2199-9-28.

14.

Novel integrative methods for gene discovery associated with head and neck squamous cell carcinoma development.

Smith IM, Mithani SK, Liu C, Chang SS, Begum S, Dhara M, Westra W, Sidranksy D, Califano JA.

Arch Otolaryngol Head Neck Surg. 2009 May;135(5):487-95. doi: 10.1001/archoto.2009.43.

PMID:
19451471
15.

Identification of functional candidate genes for drought tolerance in rice.

Fu BY, Xiong JH, Zhu LH, Zhao XQ, Xu HX, Gao YM, Li YS, Xu JL, Li ZK.

Mol Genet Genomics. 2007 Dec;278(6):599-609. Epub 2007 Jul 31.

PMID:
17665216
16.

Genome-wide identification, classification, evolutionary expansion and expression analyses of homeobox genes in rice.

Jain M, Tyagi AK, Khurana JP.

FEBS J. 2008 Jun;275(11):2845-61. doi: 10.1111/j.1742-4658.2008.06424.x. Epub 2008 Apr 19.

PMID:
18430022
17.

Identification of precursor transcripts for 6 novel miRNAs expands the diversity on the genomic organisation and expression of miRNA genes in rice.

Lacombe S, Nagasaki H, Santi C, Duval D, Piégu B, Bangratz M, Breitler JC, Guiderdoni E, Brugidou C, Hirsch J, Cao X, Brice C, Panaud O, Karlowski WM, Sato Y, Echeverria M.

BMC Plant Biol. 2008 Dec 2;8:123. doi: 10.1186/1471-2229-8-123.

18.

The lack of a systematic validation of reference genes: a serious pitfall undervalued in reverse transcription-polymerase chain reaction (RT-PCR) analysis in plants.

Gutierrez L, Mauriat M, Guénin S, Pelloux J, Lefebvre JF, Louvet R, Rusterucci C, Moritz T, Guerineau F, Bellini C, Van Wuytswinkel O.

Plant Biotechnol J. 2008 Aug;6(6):609-18. doi: 10.1111/j.1467-7652.2008.00346.x. Epub 2008 Apr 22.

PMID:
18433420
19.

Expression profile of calcium-dependent protein kinase (CDPKs) genes during the whole lifespan and under phytohormone treatment conditions in rice (Oryza sativa L. ssp. indica).

Ye S, Wang L, Xie W, Wan B, Li X, Lin Y.

Plant Mol Biol. 2009 Jun;70(3):311-25. doi: 10.1007/s11103-009-9475-0. Epub 2009 Mar 5.

PMID:
19263224
20.

A genome-wide survey of HD-Zip genes in rice and analysis of drought-responsive family members.

Agalou A, Purwantomo S, Overnäs E, Johannesson H, Zhu X, Estiati A, de Kam RJ, Engström P, Slamet-Loedin IH, Zhu Z, Wang M, Xiong L, Meijer AH, Ouwerkerk PB.

Plant Mol Biol. 2008 Jan;66(1-2):87-103. Epub 2007 Nov 13.

PMID:
17999151
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