Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-seq sequencing of the transgenic plants seeds

ABSTRACT: To analyze influence of ZmDWF4 on seed development, we we chose 10DAP and 15DAP from the transgenic line L100 seed to RNA-seq sequence. Total RNA was extracted from the seeds (10 days after pollination, 10DAP, 15 days after of pollination,15DAP) of transgenic line L100 and wild type Q319. cDNA library was builded in the BIOMARKER, original reads were sequenced based on Illumina HiSeq2000, and through rRNA, low quality fragment DNA of filtering, ultimately, we obtained 99.30Gb high quality clean reads. Compared with reference gene sequence(AGPv3), according to genes function annotation, we found 463, 675 different expression genes, respectively.We classified the different expression genes according to Cellular Component, Molecular Function and Biological Process. It showed that BRs could affect many genes expression involved in different biological process in the seed development.

ORGANISM(S): Zea mays

PROVIDER: GSE108628 | GEO | 2018/12/27

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

RNA-seq sequencing of the transgenic plants leaves at the six-leaf stage

Project description:To know BRs was how to cause transgenic line L100 leaves changed, we took the sixth leaves of transgenic line L100 to RNA-seq sequence. Total RNA was extracted from the sixth leaves of six-leaf stage of transgenic line L100 and wild type Q319. cDNA library was builded in the BIOMARKER, 100.20M original reads were sequenced based on Illumina HiSeq2000, and through rRNA, low quality fragment DNA of filtering, ultimately, we obtained 69.01M high quality clean reads. Compared with reference gene sequence(AGPv3), according to genes function annotation, we found 201 different expression genes. We classified the different expression genes according to Cellular Component, Molecular Function and Biological Process. It showed that BRs could affect many genes expression involved in different biological process.

2018-12-27 | GSE108627 | GEO

Transcriptome dynamics during seed development in chickpea (JGK3)

Project description:In this study, we aim to present a global view of transcriptome dynamics during seed development in a large-seeded chickpea (genotype JGK3). We generated about 1.5 billion high-quality reads from 24 libraries (leaf and seven seed developmental stages in three biological replicates) using Illumina high-throughput sequencing platform. We mapped the reads to the kabuli chickpea genome for estimation of their transcript abundance in different tissue samples. The transcriptome dynamics was studied by differential gene expression analyses between different samples/stages.

2017-12-31 | GSE79719 | GEO

Transcriptome dynamics during seed development in chickpea (Himchana)

Project description:In this study, we aim to present a global view of transcriptome dynamics during seed development in a small-seeded chickpea (genotype Himchana 1). We generated about 1.5 billion high-quality reads from 24 libraries (leaf and seven seed developmental stages in three biological replicates) using Illumina high-throughput sequencing platform. We mapped the reads to the kabuli chickpea genome for estimation of their transcript abundance in different tissue samples. The transcriptome dynamics was studied by differential gene expression analyses between different samples/stages.

2017-12-31 | GSE79720 | GEO

RNA-seq of pericarp of purple-grain wheat Luozhen No.1 of 15 days (D15) and 20 days (D20) shading treatment after pollination, against 15 DAP, 20 DAP untreated controls. The purple-grain wheat were grown under natural field conditions at Shandong Agricultural University Experimental Station (36169 N, 117169 E), Taian, China during Octubor, 2015 to June, 2016.

Project description:Purple-grain wheat are caused by anthocyanin accumulation in the seed coat. But little is known about molecular mechanism of anthocyanin biosynthesis. The anthocyanin biosynthesis and accumulation were affected by light in purple-grain wheat. The spikes of purple-grain wheat Luozhen No.1 were bagged with four-layer Kraft paper bags after pollination. To identify genes involved in the anthocyanin biosynthesis, we sequenced four pericarp cDNA libraries, D15 (15 DAP), D20 (20 DAP) of shading treatment, and L15 (15 DAP), L20 (20 DAP) of untreated control using an Illumina HiSeqTM 2000. After quality control, raw reads are filtered into clean reads which will be aligned to the reference sequences. The alignment data is utilized to calculate distribution of reads on reference genes and mapping ratio, and proceed with downstream analysis including gene and isoform expression, deep analysis based on gene expression (PCA/correlation/screening differentially expressed genes and so on),exon expression, gene structure refinement, alternative splicing, novel transcript prediction and annotation, SNP detection, Indel detection. Further, we also perform deep analysis based on different expression genes, including Gene Ontology (GO) enrichment analysis, Pathway enrichment analysis, cluster analysis, and finding transcriptor factor.

2018-03-26 | E-MTAB-5975 | biostudies-arrayexpress

The maize pericarp transcriptome

Project description:P1 encodes an R2R3-MYB transcription factor responsible for the accumulation of insecticidal flavones in maize silks and red phlobaphene pigments in pericarps and other floral tissues, which contributed to making P1 an important visual marker since the dawn of modern genetics. We conducted RNA-Seq using pericarps at two different stages, 14 and 25 days after pollination (DAP). High-throughput sequencing using the Illumina platform resulted in the generation of ~20 million high quality reads, from which ~90% aligned to the recently completed maize genome sequence corresponding to ~5 million reads for each one of the four samples.

2012-09-14 | GSE38413 | GEO

The maize pericarp transcriptome

2012-09-14 | E-GEOD-38413 | biostudies-arrayexpress

expression data from 14 tissues of maize

Project description:The genes specifically express in some tissue may usually play an important role in the development of the tissue. At vegetative growth stage, some genes may up-regulated to promote the nutrition absorbtion and transportation. However during the reproductive stage, some genes may up-regulated to regulate the flowering and seed development. We used microarrays to identify significantly differentially expressed genes between seed and non-seed tissues. Different tissues of maize were selected at vegetative growth stage and reproductive stage for RNA extraction and hybridization on Affymetrix microarrays. We sought to identify significantly differentially expressed genes between seed and non-seed tissues. To that end, Big trumpet period maize inbred line B73 was use to collect nutritive tissues include root, stem, stem tip and leaf; 10, 15, 20 and 25 DAP (days after pollination) embryo and endosperm; ear and silk before pollination. Each sample has three replications.

2014-01-23 | E-GEOD-54310 | biostudies-arrayexpress

DNA methylation during seed development in small-seeded chickpea

Project description:In this study, we performed bisulphite of two stages of seed development in a small-seeded chickpea cultivar (Himchana 1) using Illumina platform. Paired-end reads were generated from 5 libraries. Data obtained in FASTQ files were pre-processed to remove adapters and low-quality reads. We identified methylation level at each cytosine residue covered in sequencing and differentially methylated regions (DMRs) between stages of seed development.

2020-07-13 | GSE131669 | GEO

DNA methylation during seed development in large-seeded chickpea

Project description:In this study, we performed bisulphite of five stages of seed development in a large-seeded chickpea cultivar (JGK 3) using Illumina platform. Paired-end reads were generated from 11 libraries. Data obtained in FASTQ files were pre-processed to remove adapters and low-quality reads. We identified methylation level at each cytosine residue covered in sequencing and differentially methylated regions (DMRs) between stages of seed development.

2020-07-13 | GSE131665 | GEO

Genomic and phenotypic characterization of a refactored xylose utilizing Saccharomyces cerevisiae for lignocellulosic biofuels/biochemicals production

Project description:To understand the mechanisms of enhanced xylose metabolism of XUSE, we reported transcriptome analysis of XUS (rationally engineered strain) and XUSE (evolved XUS strain) grown on xylose by performing RNA-sequencing. Compared with XUS, XUSE showed significantly different gene expression landscape with 463 up-regulated and 675 down-regulated genes (>2-fold, p-value<0.05). While the genes involved in non-oxidative pentose phosphate pathway, such as TKL1, TKL2 and TAL1, were down-regulated in XUSE, it shows the decreased transcriptional patterns of a number of genes encoding TCA cycle and respiratory enzymes. Also, the genes involved in the cellular metal ion regulation and sugar transporters showed significantly changed expression levels in XUSE. This study shows the gene expression landscape of XUSE revealing engineering strategies for the enhanced xylose metabolism in S. cerevisiae.

2018-12-26 | GSE116076 | GEO

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