Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-seq analysis of transcriptomes for developing fruits derived from sweet orange varieties

ABSTRACT: Transcriptome comparsions and integrated systems analysis were used to identify candidate genes associated with fruit acidity control and gene coexpression subnetworks involved in fruit acid accumulation. mRNA profiles of fruit tissues at two stages (45 days postanthesis (DPA); and 142 DPA) from four varieties with differing fruit acidity.

ORGANISM(S): Citrus sinensis

SUBMITTER: Zhi-Liang Zheng

PROVIDER: E-GEOD-78046 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

RNA-seq analysis of transcriptomes for developing fruits derived from sweet orange varieties

Project description:Transcriptome comparsions and integrated systems analysis were used to identify candidate genes associated with fruit acidity control and gene coexpression subnetworks involved in fruit acid accumulation.

2016-04-13 | GSE78046 | GEO

Genome-wide profiling of microRNAs target transcripts in sweet orange

Project description:miRNAs-mediated gene silencing pathway plays vital roles in plant development, abiotic and biotic stress responses. Here, we carried out a high-throughput sequencing approach to identify miRNAs targets in leaves, flowers and fruit of sweet orange.C onsequently, 55257, 62365 and 19393 degraded mRNA fragments were identified in leaf, flower and fruit, respectively. miRNAs-mediated degraded fragments sequencing of the leaves, flowers and fruit in sweet orange

2014-10-21 | E-GEOD-46764 | biostudies-arrayexpress

Genome-wide profiling of microRNAs in sweet orange

Project description:miRNAs-mediated gene silencing pathway plays vital roles in plant development, abiotic and biotic stress responses. Here, we carried out a high-throughput sequencing approach to identify miRNAs in leaves and flowers of sweet orange. Consequently we identified genome-wide 183 known miRNAs and 38 novel miRNAs. Small RNA sequencing of the leaves and flowers in sweet orange

2014-10-21 | E-GEOD-46747 | biostudies-arrayexpress

Expression data for sweet orange fruits in different development stages

Project description:Citrate is demonstrated to be an indispensable secondary metabolite in citrus fruit. Citrus citrate content is affected by accumulation, degradation, usage, transport and storage. The detail mechanisms of citrate accumulation are complicated in citrus fruit and there are other regulating pathways that have yet to be discovered. In this study, we utilized genomic expression investigation to gain a deep insight into the citrate-accumulation-related biological processes in sweet orange.

2018-04-30 | GSE80190 | GEO

Microarray Based Analysis of the Developing Sweet Orange Transcriptome

Project description:Using a custom microarray platform, we examined expression of 366 genes in leaf, two peel tissues, juice sac, and whole fruit during various developmental stages of Washington Navel orange fruit (Citrus sinensis L. Osbeck). 366 genes were chosen from Citrus EST libraries by in-silico analysis method. Keywords: time course and tissue comparison Study to compare gene expression between peel layers and over time as fruit matured. Samples taken from leaf tissue, whole fruit at 24 and 38 days after full bloom (DAFB), and from albedo and flavedo layers of the peel at 80 and 165 DAFB, and flavedo from mature fruit at 220 DAFB. In all cases except one, there were three technical replicates hybridized for each Sample simultaneously.

2010-05-26 | E-GEOD-10731 | biostudies-arrayexpress

Microarray Based Analysis of the Developing Sweet Orange Transcriptome

2008-03-05 | GSE10731 | GEO

Transcriptome dynamics during fruit development of sweet orange (Citrus sinensis)

Project description:• To dissect how the genes are dynamically and differentially expressed during fruit development in sweet orange, a comprehensive transcriptomic study was performed in a pleiotropic mutant (MT) and its wild type (WT). • The detection of the fruit transcriptomic changes was conducted at five stages of fruit development by deep sequencing; the obtained millions of reliable tags were mapped on orange unigenes and subjected to cluster analysis and functional categorization. Sugar and organic acid contents were determined based on the prediction of differential biological processes. • The global clustering analysis revealed a total of 14 expression patterns for the genes involved in fruit development of sweet orange. More than 94% of the genes showed differential expression during fruit development. Comparative transcripts profiling between WT and MT revealed that between 410 and 634 genes were significantly differentially expressed at the five stages. Functional categorization indicated that TCA cycle, carotenoid biosynthesis, and pentose phosphate pathway (OPP) were among the most regulated pathways. • This study provided a dynamic-view of the transcriptome changes during fruit ripening in sweet orange; the results highlighted a set of molecular processes involved in the formation of the mutation trait in the orange fruits.

2012-06-22 | GSE22505 | GEO

Transcriptome dynamics during fruit development of sweet orange (Citrus sinensis)

2012-06-22 | E-GEOD-22505 | biostudies-arrayexpress

Genome-wide profiling of microRNAs target transcripts in sweet orange

2014-10-21 | GSE46764 | GEO

Global increase in DNA Methylation during ripening of sweet orange [RNA-seq]

Project description:Using RNA-Seq to analyse the gene expression pattern in five fruit ripening stages in sweet orange

2018-12-28 | GSE108930 | GEO