ArticlePlant methods2007
A quantitative RT-PCR platform for high-throughput expression profiling of 2500 rice transcription factors.
Article in Plant methods, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.
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Who cites it
110 citing papers in PubMed, 227 citations in OpenAlex.
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- Flavor profiling and gene expression studies of indigenous aromatic rice variety (Mushk Budiji) grown at different altitudes of Highland Himalayan regions.Scientific reports · 2024Article
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- Photoperiod and gravistimulation-associated Tiller Angle Control 1 modulates dynamic changes in rice plant architecture.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Evaluating and Validating Sunflower Reference Genes for Q-PCR Studies Under High Temperature Condition.Iranian journal of biotechnology · 2023Article
- OsDPE2 Regulates Rice Panicle Morphogenesis by Modulating the Content of Starch.Rice (New York, N.Y.) · 2023Article
- Gene Expression Analysis by Quantitative Real-Time PCR for Floral Tissues.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Natural alleles of CIRCADIAN CLOCK ASSOCIATED1 contribute to rice cultivation by fine-tuning flowering time.Plant physiology · 2022Article
- NAC transcription factors ATAF1 and ANAC055 affect the heat stress response in Arabidopsis.Scientific reports · 2022Article
- CROWN ROOTLESS1 binds DNA with a relaxed specificity and activates OsROP and OsbHLH044 genes involved in crown root formation in rice.The Plant journal : for cell and molecular biology · 2022Article
- Article
- Carbon Nanotube-Mediated Plasmid DNA Delivery in Rice Leaves and Seeds.International journal of molecular sciences · 2022Article
- Transcriptional and physiological data revealed cold tolerance in a photo-thermo sensitive genic male sterile line Yu17S.BMC plant biology · 2022Article
- Physiological and metabolic bases of increased growth in the tomato ethylene-insensitive mutant Never ripe: extending ethylene signaling functions.Plant cell reports · 2021Article
- Modulation of Rice Leaf Angle and Grain Size by ExpressingInternational journal of molecular sciences · 2021Article
- DNA hypomethylation in tetraploid rice potentiates stress-responsive gene expression for salt tolerance.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- A fast, efficient and high-throughput procedure involving laser microdissection and RT droplet digital PCR for tissue-specific expression profiling of rice roots.BMC molecular and cell biology · 2020Article
50 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundQuantitative reverse transcription - polymerase chain reaction (qRT-PCR) has been demonstrated to be particularly suitable for the analysis of weakly expressed genes, such as those encoding transcription factors. Rice (Oryza sativa L.) is an important crop and the most advanced model for monocotyledonous species; its nuclear genome has been sequenced and molecular tools are being developed for functional analyses. However, high-throughput methods for rice research are still limited and a large-scale qRT-PCR platform for gene expression analyses has not been reported.
resultsWe established a qRT-PCR platform enabling the multi-parallel determination of the expression levels of more than 2500 rice transcription factor genes. Additionally, using different rice cultivars, tissues and physiological conditions, we evaluated the expression stability of seven reference genes. We demonstrate this resource allows specific and reliable detection of the expression of transcription factor genes in rice.
conclusionMulti-parallel qRT-PCR allows the versatile and sensitive transcriptome profiling of large numbers of rice transcription factor genes. The new platform complements existing microarray-based expression profiling techniques, by allowing the analysis of lowly expressed transcription factor genes to determine their involvement in developmental or physiological processes. We expect that this resource will be of broad utility to the scientific community in the further development of rice as an important model for plant science.
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