Real-time RT-PCR profiling of over 1400 Arabidopsis transcription factors: unprecedented sensitivity reveals novel root- and shoot-specific genes.
By Tomasz Czechowski, Rajendra Bari, Mark Stitt, W. Scheible, Michael K. Udvardi. The Plant Journal, 2004
642 citations recorded by the source corpus.
Subfields: Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/4afcf6d8b7deeb917a79a588015f1e078249deb7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- D. Hincha
- Michaela Hundertmark
- W. Scheible
- Mark Stitt
- N. V. van Dam
- Marc Güell
- Diego Mauricio Riaño-Pachón
- B. Mueller‐Roeber
In Plant Science
- C. Pieterse
- M. Pozo
- D. Hincha
- L. C. van Loon
- Michaela Hundertmark
- N. V. van Dam
- M. Dicke
- W. Scheible
Citations in the corpus
- MYC2 Differentially Modulates Diverse Jasmonate-Dependent Functions in Arabidopsis[W] (2007, background): “The sequences of the primer pairs have been published (Anderson et al., 2004; Czechowski et al., 2004; McGrath et al., 2005) or can be found in Supplemental Table 3 online.”
- Genome-Wide Identification and Testing of Superior Reference Genes for Transcript Normalization in Arabidopsis1[w] (2005, methodology): “This is especially the case for quantitative reverse transcription (qRT)-PCR studies, which are growing in importance as a means to validate data from whole-genome oligonucleotide arrays and as a primary source of expression data for smaller sets of genes (Czechowski et al., 2004; Gachon et al., 200”
- Identification of Four Soybean Reference Genes for Gene Expression Normalization (2008, methodology): “…that DNA microarray hybridizations are not as sensitive as qRTPCR and are less accurate at measuring low abundance mRNA (Coker and Davies, 2003; Czechowski et al., 2004). h erefore, we recommend cons15 as a reference control for experiments focused on measuring the expression of genes…”
- Comparison of reference genes for quantitative real-time polymerase chain reaction analysis of gene expression in sugarcane (2007, methodology): “The transcript abundance ratio of target gene to reference gene was determined by the following equation: relative expression = (Eref)Ctref/(Etarget) Cttarget (Pfaffl , 2001; Czechowski et al., 2004), where Ere f and Etarget are the efficiencies of the primers for the reference and target gene, resp”
- Salt stress-induced Ca2+ waves are associated with rapid, long-distance root-to-shoot signaling in plants (2014, methodology): “The Arabidopsis UBQ10 gene was used as an internal reference for standardization as described previously (35).”
- Reference genes in real-time PCR (2013, positive): “A set of genes for validation is often selected with the use of tools that enable global analysis of transcripts, such as chips and microarrays (Czechowski et al. 2004).”
- LEA (Late Embryogenesis Abundant) proteins and their encoding genes in Arabidopsis thaliana (2008, methodology): “PCR conditions were those described in detail recently [ 117 ] and data were expressed as the cycle number necessary to reach a threshold fluorescence value (CT).”
- Correlation of mRNA and protein in complex biological samples (2009, positive): “Similar results have been found for other systems and platforms [73,74].”
- The MYB Transcription Factor Superfamily of Arabidopsis: Expression Analysis and Phylogenetic Comparison with the Rice MYB Family (2005, positive): “In 14-day-old Arabidopsis plants, 35 transcriptional factor genes were identified by realtime RT-PCR as root-specific (Czechowski et al., 2004).”
- Signal signature and transcriptome changes of Arabidopsis during pathogen and insect attack. (2005, methodology): “Although fold induction in gene expression, especially for low abundant mRNAs, has been shown to differ between the two methods (Czechowski et al. 2004), the relative expression patterns of the five attacker-specific genes were highly similar, indicating that the relative expression levels of the…”
- QuantPrime – a flexible tool for reliable high-throughput primer design for quantitative PCR (2008, background): “[2,3], especially for the quantification of transcripts of low abundance (e.”