Literature DB >> 25304620

Keeping qRT-PCR rigorous and biologically relevant.

John Bennett1, David Hondred, James C Register.   

Abstract

Mesh:

Year:  2014        PMID: 25304620     DOI: 10.1007/s00299-014-1692-6

Source DB:  PubMed          Journal:  Plant Cell Rep        ISSN: 0721-7714            Impact factor:   4.570


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  8 in total

1.  The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments.

Authors:  Stephen A Bustin; Vladimir Benes; Jeremy A Garson; Jan Hellemans; Jim Huggett; Mikael Kubista; Reinhold Mueller; Tania Nolan; Michael W Pfaffl; Gregory L Shipley; Jo Vandesompele; Carl T Wittwer
Journal:  Clin Chem       Date:  2009-02-26       Impact factor: 8.327

2.  Genome-wide identification and testing of superior reference genes for transcript normalization in Arabidopsis.

Authors:  Tomasz Czechowski; Mark Stitt; Thomas Altmann; Michael K Udvardi; Wolf-Rüdiger Scheible
Journal:  Plant Physiol       Date:  2005-09       Impact factor: 8.340

3.  MIQE précis: Practical implementation of minimum standard guidelines for fluorescence-based quantitative real-time PCR experiments.

Authors:  Stephen A Bustin; Jean-François Beaulieu; Jim Huggett; Rolf Jaggi; Frederick S B Kibenge; Pål A Olsvik; Louis C Penning; Stefan Toegel
Journal:  BMC Mol Biol       Date:  2010-09-21       Impact factor: 2.946

4.  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.

Authors:  Ellen De Keyser; Laurence Desmet; Erik Van Bockstaele; Jan De Riek
Journal:  BMC Mol Biol       Date:  2013-06-24       Impact factor: 2.946

5.  Identification of potential target genes for the tomato fruit-ripening regulator RIN by chromatin immunoprecipitation.

Authors:  Masaki Fujisawa; Toshitsugu Nakano; Yasuhiro Ito
Journal:  BMC Plant Biol       Date:  2011-01-30       Impact factor: 4.215

6.  RefGenes: identification of reliable and condition specific reference genes for RT-qPCR data normalization.

Authors:  Tomas Hruz; Markus Wyss; Mylene Docquier; Michael W Pfaffl; Sabine Masanetz; Lorenzo Borghi; Phebe Verbrugghe; Luba Kalaydjieva; Stefan Bleuler; Oliver Laule; Patrick Descombes; Wilhelm Gruissem; Philip Zimmermann
Journal:  BMC Genomics       Date:  2011-03-21       Impact factor: 3.969

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

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

8.  Assessing reference genes for accurate transcript normalization using quantitative real-time PCR in pearl millet [Pennisetum glaucum (L.) R. Br].

Authors:  Prasenjit Saha; Eduardo Blumwald
Journal:  PLoS One       Date:  2014-08-29       Impact factor: 3.240

  8 in total
  12 in total

1.  Genes encoding membrane proteins showed stable expression in rice under aerobic condition: novel set of reference genes for expression studies.

Authors:  Amol S Phule; Kalyani M Barbadikar; M S Madhav; P Senguttuvel; M B B Prasad Babu; P Ananda Kumar
Journal:  3 Biotech       Date:  2018-08-23       Impact factor: 2.406

2.  A comparative transcriptome analysis of two sets of backcross inbred lines differing in lint-yield derived from a Gossypium hirsutum × Gossypium barbadense population.

Authors:  Wu Man; Liyuan Zhang; Xihua Li; Xiaobing Xie; Wenfeng Pei; Jiwen Yu; Shuxun Yu; Jinfa Zhang
Journal:  Mol Genet Genomics       Date:  2016-06-03       Impact factor: 3.291

3.  Comparative Transcriptome Analysis Reveals Effects of Exogenous Hematin on Anthocyanin Biosynthesis during Strawberry Fruit Ripening.

Authors:  Yi Li; Huayin Li; Fengde Wang; Jingjuan Li; Yihui Zhang; Liangju Wang; Jianwei Gao
Journal:  Int J Genomics       Date:  2016-12-15       Impact factor: 2.326

4.  Genome-wide survey indicates diverse physiological roles of the barley (Hordeum vulgare L.) calcium-dependent protein kinase genes.

Authors:  Yunqiang Yang; Qiuli Wang; Qian Chen; Xin Yin; Min Qian; Xudong Sun; Yongping Yang
Journal:  Sci Rep       Date:  2017-07-13       Impact factor: 4.379

5.  Selection of Reference Genes for qRT-PCR Analysis of Gene Expression in Stipa grandis during Environmental Stresses.

Authors:  Dongli Wan; Yongqing Wan; Qi Yang; Bo Zou; Weibo Ren; Yong Ding; Zhen Wang; Ruigang Wang; Kai Wang; Xiangyang Hou
Journal:  PLoS One       Date:  2017-01-05       Impact factor: 3.240

6.  The key regulator LcERF056 enhances salt tolerance by modulating reactive oxygen species-related genes in Lotus corniculatus.

Authors:  Dan Wang; Zhanmin Sun; Xinxu Hu; Junbo Xiong; Lizhen Hu; Yuandong Xu; Yixiong Tang; Yanmin Wu
Journal:  BMC Plant Biol       Date:  2021-12-29       Impact factor: 4.215

7.  A novel Ap2/ERF transcription factor from Stipa purpurea leads to enhanced drought tolerance in Arabidopsis thaliana.

Authors:  Yunqiang Yang; Chao Dong; Xiong Li; Jiancan Du; Min Qian; Xudong Sun; Yongping Yang
Journal:  Plant Cell Rep       Date:  2016-07-21       Impact factor: 4.570

8.  LEMming: A Linear Error Model to Normalize Parallel Quantitative Real-Time PCR (qPCR) Data as an Alternative to Reference Gene Based Methods.

Authors:  Ronny Feuer; Sebastian Vlaic; Janine Arlt; Oliver Sawodny; Uta Dahmen; Ulrich M Zanger; Maria Thomas
Journal:  PLoS One       Date:  2015-09-01       Impact factor: 3.240

9.  Recommendations for improving accuracy of gene expression data in bone and cartilage tissue engineering.

Authors:  Tao He; Yijiang Huang; Juy Chi Chak; Roland Manfred Klar
Journal:  Sci Rep       Date:  2018-10-05       Impact factor: 4.379

10.  Uncovering the role of a positive selection site of wax ester synthase/diacylglycerol acyltransferase in two closely related Stipa species in wax ester synthesis under drought stress.

Authors:  Yunqiang Yang; Zhili Zhou; Yan Li; Yanqiu Lv; Danni Yang; Shihai Yang; Jianshuang Wu; Xiong Li; Zhijia Gu; Xudong Sun; Yongping Yang
Journal:  J Exp Bot       Date:  2020-07-06       Impact factor: 6.992

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