Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptome of tomato leaf tissue grown under OSC filters

ABSTRACT: Transcriptome of tomato leaf tissue grown under OSC filters

PROVIDER: PRJNA827793 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR18792400.fastq.gz	Fastqsanger.gz
	SRR18792401.fastq.gz	Fastqsanger.gz
	SRR18792402.fastq.gz	Fastqsanger.gz
	SRR18792403.fastq.gz	Fastqsanger.gz
	SRR18792404.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 31

Similar Datasets

Transcriptome of tomato leaf tissue grown under OSC filters

Project description:To characterize plant growth in net zero energy greenhouse models covered with semi-transparent organic solar cells (OSCs), RNA was extracted from tomato leaf tissue. Six experimental treatments were created with three OSC filters: FTAZ:IT-M, PTB7-Th:IEICO-4F, FTAZ:PCBM. Boxes with either a clear glass cover or a spectrally-neutral cover were used as the high light (HC) control and the comparative light intensity (PC) control, respectively. These treatments were divided into 2 experiments. 4 treatments (3 OSC boxes and control) had a consistent light intensity and were called the PPFD Controlled (PC) experiment. The other 4 treatments were the Height Controlled (HC) experiment and had more variation in light intensity between treatments due to a consistent distance from the growth chamber light source (height). Plants in the FP_PC treatment flowered one day later than the PC control. FI_PC flowered one day earlier. Gene expression in samples from the FP_PC treatment had a distinct pattern related to flowering initiation.

2022-04-21 | GSE200978 | GEO

Transcriptome of red oak leaf lettuce grown under OSC filters

Project description:To characterize plant growth in net zero energy greenhouse models with semi-transparent organic solar cell (OSC) filter roofs, RNA was extracted from red oak leaf lettuce leaves grown under 3 OPV filters (FTAZ:IT-M, PTB7-Th:IEICO-4F, FTAZ:PCBM) an clear and shaded glass controls. 2 light intensity experiments were used. PPPFD Controlled (PC) treatments had a constant light intensity and different light spectra created by the filters. Height Controlled (HC) treatments varied in both light intensity and spectra, according to the light transmission of each filter. When light intensity was controlled, plants grown under FTAZ:IT-M had a DEG profile distinct from plants grown under the other 2 filters. Key genes were up or down-regulated that indicate changes in anthocyanin accumulation, nitrogen metabolism and pest defense.

2021-07-17 | GSE180179 | GEO

Transcriptome of red oak leaf lettuce grown under OSC filters

Project description:Transcriptome of red oak leaf lettuce grown under OSC filters

| PRJNA746982 | ENA

Expression data from leaf tissues of 35S:AtHMA4 and wild-type tomato plants grown in the presence of Zn

Project description:Arabidopsis HMA4 transformation facilitates Zn root-to-shoot translocation, but in Zn-supply dependent manner. It implies that distinct effects of HMA4 expression on Zn root:shoot distribution in transgenics grown under different Zn supply regimes results from the interaction between the transgene activity and the molecular background of the host plant. Microarray analysis was performed to compare expression profiles in leaves of transgenic and WT-plants grown in the presence of 5 µM Zn to identify the molecular mechanism underlying the difference in Zn root:shoot distribution between 35S:AtHMA4-expressing and wild-type tomato. To recognize tissue specific alterations in gene transcription in tomato leaves invoked by AtHMA4 expression, spongy paerenchyma + lower epidermis and palisade paerenchyma + upper epidermis were isolated using LCM technique. Understanding the interplay between the transgene and the endogens is crucial for planning genetic modification for Zn-biofortification purpose. 10-day old tomato plant (35S:AtHMA4 expressing and WT) were subjected to 5 µM Zn (added as ZnSo4) for 15 days. Three independent experiments were performed. At the end of each experiment the 3rd and 4th leaf (counting upwards) were collected, 1-2 mm long and 2-3 mm wide fragments were cut out from between the vascular bundles in the middle part of each leaf, embedded in NEG-50 Frozen Section Medium (Thermo Scientific), and frozen in liquid nitrogen. Total RNA isolated from three batches of leaves was amplified and used for three independent microarray analysis.

2015-05-08 | E-GEOD-68640 | biostudies-arrayexpress

Response of tomato leaves to tobacco mosaic virus (TMV)

Project description:TMV-resistant (N), -susceptible (n), and enhanced susceptible mutant sun1-1 (N) tomato were grown in asceptic conditions in growth chambers (25º, 16hr/8hr light dark). 4-5 week old tomato were treated with TMV leaf sap or mock leaf sap, and leaf tissue was collected after 3, 9, and 27 hours. RNA was isolated from each sample (leaf tissue from one plant/one treatment/one timepoint), using standard TIGR protocols, and 25ug of total RNA was labeled using TIGR indirect labeling protocols. The experiment was repeated three times. Keywords: Direct comparison

2007-09-01 | GSE8233 | GEO

High-throughput single-cell transcriptome profiling of tomato leaf

Project description:The occurrence of Tomato chlorosis virus (ToCV) disease seriously damages tomato growth and yield, and there is no effective way to control ToCV transmission. So far, no studies have reported exploring the interaction between ToCV and tomato at the single cellular level. In this study, single cell RNA sequence was performed on a total of 26720 individual cells from healthy and ToCV-infected tomato leaves. We through identifying cell types, the first tomato leaf cell atlas was successfully constructed. In situ hybridization experiments identified specific marker genes that can be used to identify tomato cell types. Moreover, we have characterized transcription factors that may play a key role in tomato response to ToCV infection, and described the trichome differentiation trajectory during ToCV infection through pseudotime analysis. In conclusion, we proved the feasibility of single-cell sequencing to study the response of plants to biotic stress, and put forward new insights into the interaction between ToCV and tomato from the cellular level. Our data will lay the foundation for following studies between ToCV and plants, and will also provide a valuable reference for future research on non-model plant single cells.

2024-05-01 | GSE201931 | GEO

Tomato exocarp-specific promoter screen by RNA-seq of tomato cultivar Alisa Craig exocarp, mesocarp and leaf

Project description:In order to find the specific promoter of tomato exocarp, we extracted RNA extraction from the red ripe exocarp, red ripe mesocarp, mature green exocarp, mature green exocarp and leaf cells, and then performed RNA seq to find the differential genes from the Transcriptome data. Our data provides gene expression data for three tissues of tomato during the red ripe and mature green stages, laying the foundation for the search for differential genes

2023-06-20 | GSE235023 | GEO

Genome-wide high-throughput small RNA sequence analysis of B. cinerea-infected tomato leaf and fruit

Project description:We profiled small RNAs obtained from B. cinerea-infected tomato leaf and fruit during a time course.

2014-03-11 | GSE45321 | GEO

Genome-wide high-throughput small RNA sequence analysis of B. cinerea-infected tomato leaf and fruit

Project description:We profiled small RNAs obtained from B. cinerea-infected tomato leaf and fruit during a time course. Examination of small RNAs from B. cinerea-treated tomato leaf and fruit tissue over a time course.

2014-03-11 | E-GEOD-45321 | biostudies-arrayexpress

Sl2183 - Tomato metabolic model

Project description:Sl2183 is an updated version of the previous tomato metabolic model (iHY3410), with additional reactions and metabolites, IDs converted into the BiGG nomenclature and biomass reactions for leaf, stem and root, allowing to generate a multi-organ model (see Gerlin et al., Plant Physiol. for additional information).

2022-04-07 | MODEL2111120001 | BioModels

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data