دورية أكاديمية
Time-course gene expression profiling data of Triticum aestivum treated by supercritical CO2 garlic extract encapsulated in nanoscale liposomes
| العنوان: | Time-course gene expression profiling data of Triticum aestivum treated by supercritical CO2 garlic extract encapsulated in nanoscale liposomes |
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| المؤلفون: | Barbara Kutasy, Kincső Decsi, Márta Kiniczky, Géza Hegedűs, Eszter Virág |
| المصدر: | Data in Brief, Vol 42, Iss , Pp 108287- (2022) |
| بيانات النشر: | Elsevier, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Science (General) |
| مصطلحات موضوعية: | Illumina sequencing, Allium sativum, Nanotechnology, Whole-genome transcriptional profiling, Defense response, Biostimulant, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390 |
| الوصف: | The biostimulant phytochemicals as alternatives to synthetic chemicals are gaining ground in sustainable agricultural production nowadays. The medicinal herb, garlic (Allium sativum) has a spectacular therapeutic reputation due to its antimicrobial properties. The effectiveness of supercritical carbon dioxide (SC-CO2) extraction of A. sativum could help preserve bioactive compounds and be used as a biostimulant agent. The SC-CO2 garlic was formulated in liposomes and used as a nanoscale drug delivery system to reach better efficiency of penetration and translocation. The SC-CO2 garlic extracts were used in Triticum aestivum time-course experiments to monitor conditioning effects such as improving crop quality and priming its defense responses against different pathogens. Fresh leaves were collected after SC-CO2 garlic exposure at 15 min, 24, and 48 hours for QuantSeq 3′ mRNA sequencing at Illumina NextSeq 550 platform. RNA quantification datasets are presented. Raw data such as Illumina 85bp single-end read sequences and reconstructed transcripts were deposited in the NCBI SRA and TSA databases under the BioProject PRJNA808851. Functional annotation of transcripts and time-course expression data are presented here to support gene expression analysis experiments. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2352-3409 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2352340922004899; https://doaj.org/toc/2352-3409 |
| DOI: | 10.1016/j.dib.2022.108287 |
| URL الوصول: | https://doaj.org/article/591d856ee17d42fbab4cbcd2c78aaa9c |
| رقم الأكسشن: | edsdoj.591d856ee17d42fbab4cbcd2c78aaa9c |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 23523409 |
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| DOI: | 10.1016/j.dib.2022.108287 |