Dataset Information

Recombinant Wine Haze Proteins rTLP and rCHI

ABSTRACT: Recombinant TLP (rTLP) and CHI (rCHI), expressed by Komagataella phaffii, were used as as haze-protein models, for having similar characteristics (aggregation potential, melting point, functionality, glycosylation levels and bentonite adsorption) to the native-haze proteins from Vitis vinifera.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Vitis Vinifera (grape)

TISSUE(S): Cell Culture

SUBMITTER: Wendell Albuquerque

LAB HEAD: Wendell Albuquerque

PROVIDER: PXD035796 | Pride | 2023-03-11

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 7

Publications

Recombinant Thaumatin-Like Protein (rTLP) and Chitinase (rCHI) from <i>Vitis vinifera</i> as Models for Wine Haze Formation.

Albuquerque Wendell W Sturm Pia P Schneider Quintus Q Ghezellou Parviz P Seidel Leif L Bakonyi Daniel D Will Frank F Spengler Bernhard B Zorn Holger H Gand Martin M

Molecules (Basel, Switzerland) 20220928 19

Cross-linking net aggregates of thermolabile thaumatin-like proteins (TLPs) and chitinases (CHIs) are the primary source of haze in white wines. Although bentonite fining is still routinely used in winemaking, alternative methods to selectively remove haze proteins without affecting wine organoleptic properties are needed. The availability of pure TLPs and CHIs would facilitate the research for the identification of such technological advances. Therefore, we proposed the usage of recombinant TLP ...[more]

PMID: 36234944

Similar Datasets

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived flower development transcriptome profiling (RNA-seq) of two subspecies Methods: Flower mRNA profiles of wild-type (WT) four developmental stages and the same stages of Vitis vinifera subp vinifera were generated by deep sequencing using Illumina. Initial quality assessment was based on data passing the Illumina Chastity filtering. Subsequently, reads containing adapters and/or PhiX control signal were removed using an in-house filtering protocol. The second quality assessment was based on the remaining reads using the FASTQC quality control tool version 0.10.0. qRT–PCR validation was performed using EvaGreen assays. Results: Using an optimized data analysis workflow, we mapped about 13 to 19 million sequence reads per Vitis sample, 50 bp in length equivalent to 1.5 Gb of total sequence data by each sample. The exception was male stage G (M_G) were only 7 to 8 million sequence reads were obtained. Five genes (VvTFL1, VvLFY, VvAP1, Vv AP3, VvPI), related to flowering development, were used to validate RNA-Seq data and to test for data reproducibility through qRT–PCR. The coefficient of correlation (r) obtained between the log2 of RPKM (RNA-Seq) versus log2 of mRNA average number (RT-qPCR), varied from ≈ 0.97 (VvTLF) to ≈ 0.73 (VvPI) indicating a good correlation between both techniques and thus validating our RNA-Seq results. Conclusions: Our study represents the first detailed transcriptome analysis of four Vitis flower developmental stages, with the same individual, in three genders, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and accurate quantitative and qualitative evaluation of mRNA contentper developmental stage. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions. Flowering mRNA profiles of four developmental stages of Vitis wild type (WT) and the domesticated Vitis were generated by deep sequencing using Illumina HiSeq 2500.

			Action	DRS
	Bottom-UP_rCHI.xlsx	Xlsx
	CHI_BottomUp.raw	Raw
	Chitinase_glycosilation.xlsx	Xlsx
	GrapsDB_database.fasta	Fasta
	MS_analysis_rTLP.xlsx	Xlsx