ArticleGenetica2011
New approaches to Prunus transcriptome analysis.
Article in Genetica, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 45 citations in OpenAlex.
- Review
- State-of-the-Art Molecular Plant Biology Research in Spain.International journal of molecular sciences · 2023Article
- Production of Haploid and Doubled Haploid Lines in Nut Crops: Persian Walnut, Almond, and Hazelnut.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Molecular Bases of Fruit Quality inInternational journal of molecular sciences · 2020Review
- UFGT: The Key Enzyme Associated with the Petals Variegation in Japanese Apricot.Frontiers in plant science · 2017Article
- Transcriptome analysis of seed dormancy after rinsing and chilling in ornamental peaches (Prunus persica (L.) Batsch).BMC genomics · 2016Article
- In silico search, characterization and validation of new EST-SSR markers in the genus Prunus.BMC research notes · 2016Article
- Transcriptional Responses in Root and Leaf ofFrontiers in plant science · 2016Article
- Analysis of gene expression changes in peach leaves in response to Plum pox virus infection using RNA-Seq.Molecular plant pathology · 2015Article
- Prunus transcription factors: breeding perspectives.Frontiers in plant science · 2015Review
- Gene Expression Analysis of Plum pox virus (Sharka) Susceptibility/Resistance in Apricot (Prunus armeniaca L.).PloS one · 2015Article
- Transcriptomic analysis of fruit stored under cold conditions using controlled atmosphere in Prunus persica cv. "Red Pearl".Frontiers in plant science · 2015Article
- Recent advancements to study flowering time in almond and other Prunus species.Frontiers in plant science · 2014Review
- Genomics and bioinformatics resources for translational science in Rosaceae.Plant biotechnology reports · 2014Review
- Deep RNA-Seq uncovers the peach transcriptome landscape.Plant molecular biology · 2013Article
- Transcriptomic analysis of 'Suli' pear (Pyrus pyrifolia white pear group) buds during the dormancy by RNA-Seq.BMC genomics · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recent sequencing of the complete genome of the peach offers new opportunities for further transcriptomic studies in Prunus species in the called post-genomics era. First works on transcriptome analysis in Prunus species started in the early 2000s with the development of ESTs (expressed sequence tags) and the analysis of several candidate genes. Later, new strategies of massive analysis (high throughput) of transcriptomes have been applied, producing larger amounts of data in terms of expression of a large number of genes in a single experiment. One of these systems is massive transcriptome analysis using cDNA biochips (microarrays) to analyze thousands of genes by hybridization of mRNA labelled with fluorescence. However, the recent emergence of a massive sequencing methodology ("deep-sequencing") of the transcriptome (RNA-Seq), based on lowering the costs of DNA (in this cases complementary, cDNA) sequencing, could be more suitable than the application of microarrays. Recent papers have described the tremendous power of this technology, both in terms of profiling coverage and quantitative accuracy in transcriptomic studies. Now this technology is being applied to plant species, including Prunus. In this work, we analyze the potential in using this RNA-Seq technology in the study of Prunus transcriptomes and the development of genomic tools. In addition, the strengths and limitations of RNA-Seq relative to microarray profiling have been discussed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.