ArticleGenetica2013
Comparative transcriptional analysis reveals differential gene expression between Sand Daffodil tissues.
Article in Genetica, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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
3 citing papers in PubMed, 9 citations in OpenAlex.
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- Transcriptome and metabolome profiling of Narcissus pseudonarcissus 'King Alfred' reveal components of Amaryllidaceae alkaloid metabolism.Scientific reports · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sand Daffodil (Pancratium maritimum) is a world-wide endangered Amayllidaceae species and represents an important anti-cancer medicinal resource due to alkaloids production. Despite its increasing pharmaceutical importance, there are not molecular resources that can be utilized toward improving genetic traits. In our research, the suppression subtractive hybridization (SSH) method conducted to generate large-scale expressed sequence tags (EST), was designed to identify gene candidates related to the morphological and physiological differences between the two tissues, leaves and bulbs, since lycorine, the main anti-cancer compound, is there synthesized. We focused on identification of transcripts in different tissues from Sand Daffodil using PCR-based suppression SSH to identify genes involved in global pathway control. Sequencing of 2,000 differentially screened clones from the SSH libraries resulted in 136 unigenes. Functional annotation and gene ontology analysis of up-regulated EST libraries showed several known biosynthetic genes and novel transcripts that may be involved in signaling, cellular transport, or metabolism. Real time RT-PCR analysis of a set of 8 candidate genes further confirmed the differential gene expression.
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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.