GEO DataSets

(Submitter supplied) Plant-based diets could be a key source of microRNAs in animals. Plant microRNAs are cross-kingdom gene expression regulators that could modulate mammalian gene expression, influencing their physiology. Therefore, it is important to identify the microRNA expression profile of plant foods in order to identify potential target genes and biological functions in the mammalian host. Next-generation sequencing was applied to identify microRNAs in RNA samples derived from nuts (walnut and almond), vegetables (spinach) and fruits (orange, apple, olive, pear, and tomato). more...

Organism:

Solanum lycopersicum; Olea europaea; Pyrus communis; Citrus sinensis; Prunus dulcis; Juglans regia; Spinacia oleracea; Malus domestica

Type:

Non-coding RNA profiling by high throughput sequencing

8 related Platforms

8 Samples

Download data: XLSX

(Submitter supplied) Using 3' RACE-seq method, we analyzed global 3’ terminal RNA uridylation profiles for representatives of the main families of positive single-stranded RNA phytoviruses.

Organism:

Chenopodium quinoa; Nicotiana benthamiana; Nicotiana obtusifolia; Spinacia oleracea; Arabidopsis thaliana; Vitis vinifera

Type:

Expression profiling by high throughput sequencing

9 related Platforms

27 Samples

Download data: TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Chenopodium quinoa; Nicotiana benthamiana; Nicotiana obtusifolia; Spinacia oleracea; Arabidopsis thaliana; Vitis vinifera

Type:

Expression profiling by high throughput sequencing

12 related Platforms

140 Samples

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(Submitter supplied) Purpose: The goals of this study are to compare differentially expressed transcripts in roots and leaves of spinach cultivars with distinct oxalate contents using transcriptome profiling (RNA-seq)

Organism:

Spinacia oleracea

Type:

Expression profiling by high throughput sequencing

Platform:

GPL28198

12 Samples

Download data: XLSX

(Submitter supplied) Spinach (Spinacia oleracea L.) is an economically important and globally consumed popular leafy vegetable that is heat-sensitive. Heat stress caused by global climate change is one of the primary deleterious elements limiting spinach production worldwide. Little work has been done to explore the heat-responsive mechanisms of spinach under high temperature-induced stress. In the present study, we used iTRAQ-based proteomic and transcriptomic approaches to investigate physiological, metabolic, and proteomic responses of spinach in response to day / night temperature of 35°C / 25°C compared to 20°C / 15°C for 4 days. more...

Organism:

Spinacia oleracea

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20901

6 Samples

Download data: XLS

(Submitter supplied) Purpose: The goals of this study are to compare differentially expressed transcripts in roots and leaves of spinach plants grown under nitrogen replete and deplete conditions using transcriptome profiling (RNA-seq)

Organism:

Spinacia oleracea

Type:

Expression profiling by high throughput sequencing

Platform:

GPL28198

12 Samples

Download data: TXT

(Submitter supplied) Cacao, spinach and carrot are three important crops with high valuable markets. For these species there isn't already an available genome-wide annotation of small rna. Here, for the first time, we sequenced and annotated small RNAs.

Organism:

Daucus carota; Spinacia oleracea; Theobroma cacao

Type:

Non-coding RNA profiling by high throughput sequencing

Platforms:

GPL24091 GPL24089 GPL24090

5 Samples

Download data: TXT

(Submitter supplied) Purpose: To examine the gene expression within the spinach root tissues as a response to exposure to nanoparticles. Methods: Sequenced reads were processed using CLC Genomics Workbench 7.0. The reads were trimmed based on quality, length and ambiguity. Resulting reads were assembled into transcript assemblies. Sequence reads were mapped back to the constructed transcriptome. TAs were BLAST searched against a local blast database of coding sequences of Arabidopsis thaliana. more...

Organism:

Spinacia oleracea

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20901

6 Samples

Download data: FA, TXT