Browse
Submit Data
Databases
API
Help

Dataset Information

10 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

E-MTAB-4342

ABSTRACT: Transcription profiling by high throughput sequencing in different developmental stages of Zea mays subsp. mays tissues

PROVIDER: E-MTAB-4342 | ExpressionAtlas | 2019-05-15

REPOSITORIES: ExpressionAtlas

ACCESS DATA

Json Xml

Similar Datasets

Transcriptome of 3 developmental stages of Colletotrichum graminicola during infection of Zea mays leaf sheaths

Project description:Transcriptome of 3 developmental stages of Colletotrichum graminicola during infection of Zea mays leaf sheaths

2012-06-04 | GSE34632 | GEO

Whole transcriptome analysis of coding and non-coding RNAs associated with Spodoptera frugiperda feeding in Zea mays

Project description:We report the application of whole transcriptome sequencing technology for high-throughput profiling of coding and non-coding RNAs associated with Spodoptera frugiperda feeding in Zea mays. 4,366 mRNAs and 233 lncRNAs were differentially expressed during Spodoptera frugiperda feeding in Zea mays. Our data contribute to the understanding of the function of coding and non-coding RNAs in the regulation of plant-insect interactions.

2023-11-21 | GSE247976 | GEO

Maize proteome and transcriptome atlas

Project description:An atlas of RNA and protein expression maps across a diverse set of developmental tissues from Zea mays

2016-08-18 | GSE50191 | GEO

Zea mays Transcriptome or Gene expression

Project description:Maize (Zea mays) is an excellent cereal model for research on seed development because of its relatively large size for both embryo and endosperm. Despite the importance of seed in agriculture, the genome-wide transcriptome pattern throughout seed development has not been well characterized. Using high-throughput RNA sequencing, we developed a spatiotemporal transcriptome atlas of B73 maize seed development based on 53 samples from fertilization to maturity for embryo, endosperm, and whole seed tissues.

2014-08-09 | E-MTAB-4395 | biostudies-arrayexpress

MicroRNAs differential expression under submergence, drought and alternated stress in maize and teosinte

Project description:In this work, we performed high throughput sequencing of small RNA libraries in maize (Zea mays ssp. mays) and teosinte (Zea mays ssp. parviglumis) to investigate the response mediated by miRNAs in these plants under control conditions, submergence, drought and alternated drought-submergence or submergence-drought stress. After Illumina sequencing of 8 small RNA libraries, we obtained from 16,139,354 to 46,522,229 raw reads across the libraries. Bioinformatic analysis identified 88 maize miRNAs and 76 miRNAs from other plants differentially expressed in maize and/or in teosinte in response to at least one of the treatments, and revealed that a larger set of miRNAs were regulated in maize than in teosinte in response to submergence and drought stress.

2020-10-23 | GSE155050 | GEO

Transcriptome of 3 developmental stages of Colletotrichum graminicola during infection of Zea mays leaf sheaths

Project description:Transcriptome of 3 developmental stages of Colletotrichum graminicola during infection of Zea mays leaf sheaths 3 biological replicates per stage. The three stages are: pre-penetration appressoria (PA), early biotrophic phase (BP), and the switch from biotrophy to necrotrophy (NP). Each biological replicate of the first stage, the pre-penetration appressoria, was sequenced to a 2-fold greater depth due to its lower representation in the samples.

2012-06-04 | E-GEOD-34632 | biostudies-arrayexpress

E-MTAB-4297

Project description:Transcription profiling by high throughput sequencing in different primary root segments of Zea mays

2019-05-14 | E-MTAB-4297 | ExpressionAtlas

Solanum lycopersicum

Project description:High-throughput sequencing of small RNAs from different developmental stages of tomato fruits

| PRJNA119405 | ENA

Characterization of maize B73 transcriptome by hybrid sequencing

Project description:Zea mays is a leading model for elucidating transcriptional networks in plants, aided by increasingly refined studies of the transcriptome atlas across spatio-temporal, developmental, and environmental dimensions. Limiting this progress are uncertainties about the complete structure mRNA transcripts, particularly with respect to alternatively spliced isoforms. Although second-generation RNA-seq provides a quantitative assay for transcriptional and posttranscriptional events, the accurate reconstruction of full-length mRNA isoforms is challenging with short-read technologies. By producing much longer reads, third generation sequencing offers to solve the assembly problem, but can suffer from lower read accuracy and throughput. Here, we combine these complementary technologies to define and quantify high-confidence transcript isoforms in maize. Six tissues (root, pollen, embryo, endosperm, immature ear, and immature tassel) of the B73 inbred line were used for mRNA sequencing with the Illumina Hiseq2000 PE101 platform to comprehensively quantitate gene/isoform expression. In parallel, intact cDNAs from the same samples were sequenced using the PacBio RS II platform. The latter used six size fractionated libraries (<1kb, 1-2kb, 2-3kb, 3kb-5kb, 4-6kb,>5kb) to generate more than 2 million full length reads. Preliminary findings suggest that mechanisms of alternative splicing are differentially employed between different tissues. In addition, these data show promise to dramatically improve the status of maize genome annotation, with the detection of previously unidentified transcript isoforms, and uncovering previously unrecognized genes. This submission is data of Illumina Hiseq2000 PE101 reads.

2016-06-28 | E-MTAB-3826 | biostudies-arrayexpress

Zea mays Transcriptome or Gene expression

Project description:In this study RNA-sequencing was used to monitor gene expression changes in four tissues (meristematic zone, elongation zone, and cortex and stele of the mature zone) of maize (Zea mays L.) primary roots in response to water deficit to gain a better understanding of the mechanisms underlying drought tolerance.

2015-10-08 | E-MTAB-4297 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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