Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1230845 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Anthocyanins are colorful plant pigments with antioxidant properties, and a diet rich in these flavonoids bears health benefits. Therefore, a strong anthocyanin accumulation in edible plant parts is of significant interest, and in Malus domestica, the domesticated apple, certain red-fleshed apple varieties exhibit this trait. Enhanced anthocyanin accumulation in the flesh of apple fruits is attributed to the hyperactivation of the MYB transcription factor MdMYB10, which act as a key regulators of anthocyanin biosynthesis by inducing the expression of multiple biosynthetic genes. While several studies have explored the underlying genetic mutations and resulting transcriptome changes, there is a lack of research on proteome alterations that cause the red-fleshed apple phenotype. To address this gap, a mass spectrometry-based proteomics approach was employed. Comparative proteomics identified differentially abundant proteins in young and mature fruits of the red-fleshed ‘Bay13645’ variety compared to the white-fleshed ‘Royal Gala’. Whereas several MYB transcription factors were enriched during early fruit development, they were no longer among the hyper-abundant proteins in ripe fruits of the red-fleshed genotype. In contrast, anthocyanin biosynthetic enzymes were enriched more strongly in ripe fruits of the red-fleshed cultivar, indicating developmental stage-specific differences in the control of the pigmentation process. The proteomic approach also identified novel regulatory factors and enzymes that may contribute to the red-fleshed apple phenotype, including a BAHD acyltransferase, Mal d proteins, and transcription factors of diverse families, and their potential relevance for the exhibition of this trait is discussed.
2025-06-06 | PXD062840 | Pride
Project description:New mechanisms-of-action of anthocyanins (ACNs) provided by a red-fleshed apple compared with a white-fleshed apple ACN-poor, and with an ACN-rich extract on the proteome profile of aorta and heart as cardiovascular key tissues were determined. Hypercholesterolemic Wistar rats were separated into the corresponding groups to analyze the proteomic profile of the aorta and heart tissues using nano-liquid chromatography coupled to mass-spectrometry. Red-fleshed apple downregulated CRP, C1QB and CFP related-inflammation. White-fleshed apple reduced C1QB, CFB, CFD, C3, and C9 related to the complement system, reduced MB and CP related to iron metabolism, and increased ME1, PKM, and PC related to energy homeostasis. ACN-rich extract increased FMOD, TAGLN, and CAP1 related to cellular structure and decreased PRKACA, IQGAP1, and HSP90AB1 related to cellular signaling. Red-fleshed apple rich in ACNs suggested an anti-inflammatory effect while white-fleshed apple reduced the complement system protein-related. An apple matrix effect reduced inflammatory proteins regardless their ACN content.
2022-04-04 | PXD018885 | Pride
Project description:Canker disease caused by Neoscytalidium dimidiatum is the most serious disease that attacks the pitaya industry. One pathogenic fungus, referred to as ND8, was isolated from the wild-type red-fleshed pitaya (Hylocereus polyrhizus) of Hainan Province. Here, we studied mainly the host responses of red-fleshed pitaya (H. polyrhizus) cultivars against N. dimidiatum using Illumina RNA-Seq technology.
2019-01-17 | GSE119976 | GEO
Project description:Transcriptome sequencing of red-fleshed and white-fleshed fruits
| PRJNA284268 | ENA
Project description:The first GSSM of V. vinifera was reconstructed (MODEL2408120001). Tissue-specific models for stem, leaf, and berry of the Cabernet Sauvignon cultivar were generated from the original model, through the integration of RNA-Seq data. These models have been merged into diel multi-tissue models to study the interactions between tissues at light and dark phases.
2024-09-02 | MODEL2408160001 | BioModels
Project description:Identify allergens in white-fleshed and red-fleshed pitaya seeds
| PRJEB57868 | ENA
Project description:Background: Grape cultivars and wines are distinguishable by their color, flavor and aroma profiles. Omic analyses (transcripts, proteins and metabolites) are powerful tools for assessing biochemical differences in biological systems. Results: Berry skins of red- (Cabernet Sauvignon, Merlot, Pinot Noir) and white-skinned (Chardonnay, Semillon) wine grapes were harvested near optimum maturity from the same experimental vineyard and ˚Brix-to-titratable acidity ratio. Identical sample aliquots were analyzed for transcripts by grapevine whole-genome oligonucleotide microarray and RNA-seq technologies, proteins by nano-liquid chromatography-mass spectroscopy, and metabolites by gas chromatography-mass spectroscopy and liquid chromatography-mass spectroscopy. Principal components analysis of each of five Omic technologies showed similar results across cultivars in all Omic datasets. Comparison of the processed data of genes mapped in RNA-seq and microarray data revealed a strong Pearson's correlation (0.80). The exclusion of probesets associated with genes with potential for cross-hybridization on the microarray improved the correlation to 0.93. The overall concordance of protein with transcript data was low with a Pearson's correlation of 0.27 and 0.24 for the RNA-seq and microarray data, respectively. Integration of metabolite with protein and transcript data produced an expected model of phenylpropanoid biosynthesis, which distinguished red from white grapes, yet provided detail of individual cultivar differences. Conclusions: The five Omic technologies were consistent in distinguishing cultivar variation. There was high concordance between transcriptomic technologies, but generally protein abundance did not correlate well with transcript abundance. The integration of multiple high-throughput Omic datasets revealed complex biochemical variation amongst five cultivars of an ancient and economically important crop species.
2015-11-12 | GSE72421 | GEO
Project description:To compare gene expression between the materal X (Xm) and paternal X (Xp), we used a flurorescence-based cell sorting to separate the maternal X from the paternal X. Then we performed gene expression analysis using data obtained from RNA-seq of young Xm and Xp cells To compare gene expression between the materal X (Xm) and paternal X (Xp) in neurons from both young and old mice, we used a flurorescence-based cell sorting to separate the maternal X from the paternal X. Then we performed gene expression analysis using data obtained from RNA-seq of young and old Xm and Xp neurons.
2024-11-06 | GSE200461 | GEO