Dataset Information

Differential bottom-up proteomics of truffles

ABSTRACT: To compare truffles on protein level, samples of different truffle species (T. magnatum, T. indicum, T. melanosporum, T. aestivum and T. albidum Pico) were analysed by a LC-MS/MS based shotgun proteomics approach. First, different established bottom-up proteomics sample preparation approaches for in solution tryptic proteolysis were tested for a truffle sample. Then, a spectral library was generated by 2D LC-MS/MS and truffle samples were measured in data-independent acquisition (DIA) mode. We provide a comprehensive study on the proteomic differences between truffle species.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Tuber Albidum Tuber Magnatum Tuber Aestivum Tuber Melanosporum Mel28 Tuber Indicum

TISSUE(S): Fruit Body

SUBMITTER: Dennis Krösser

LAB HEAD: Hartmut Schlüter

PROVIDER: PXD027871 | Pride | 2021-12-19

REPOSITORIES: pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	170713uniprotPerigordBlackTruffle.fasta	Fasta
	180815_DK_SDC_1.mzML	Mzml
	180815_DK_SDC_2.mzML	Mzml
	180815_DK_SDC_3.mzML	Mzml
	180815_DK_SDS_30K_1.mzML	Mzml

Items per page:

1 - 5 of 141

Publications

Investigation of the Proteomes of the Truffles Tuber albidum pico, T. aestivum, T. indicum, T. magnatum, and T. melanosporum.

Krösser Dennis D Dreyer Benjamin B Siebels Bente B Voß Hannah H Krisp Christoph C Schlüter Hartmut H

International journal of molecular sciences 20211130 23

Truffles of the Tuber species are known as expensive foods, mainly for their distinct aroma and taste. This high price makes them a profitable target of food fraud, e.g., the misdeclaration of cheaper truffle species as expensive ones. While many studies investigated truffles on the metabolomic level or the volatile organic compounds extruded by them, research at the proteome level as a phenotype determining basis is limited. In this study, a bottom-up proteomic approach based on LC-MS/MS ...[more]

PMID: 34884803

Similar Datasets

Project description:MicroRNAs (miRNAs) are a class of non-coding RNA molecules which have significant gene regulation roles in organisms. The advent of new high throughput sequencing technologies has enabled the revelation of novel miRNAs. Although there are two recent reports on high throughput sequencing analysis of small RNA libraries from different organs of two grapevine wine varieties, there were significant divergence in the number and kinds of miRNAs sequenced in these studies. More sequencing of small RNA libraries is still important for the discovery of novel miRNAs in grapevine. Here, we initially constructed a small RNA library of flower and fruit tissues of a table grapevine cultivar M-bM-^@M-^XSummer BlackM-bM-^@M-^Y and performed sequencing and analysis of sRNAs using the Illumina Solexa platform, expecting to discover more miRNAs related to the development of grapevine flowers and berries and the formation of dessert quality in grapevine berries. Totally, 130 conserved grapevine miRNA (Vv-miRNA) belonging to 28 Vv-miRNA families were validated, and 92 novel potential grapevine-specific ones representing 80 unique ones were first discovered. Forty-two (48.84%) of the novel miRNAs possessed differential semi-quantitative PCR expression profiles in various grapevine tissues that could further confirm their existence in the grapevine, among which twenty were expressed only in grapevine berries, indicating some fruit-specificity. 130 target genes for 46 novel miRNAs could be predicted. The locations of these potential target genes on grapevine chromosomes and their complementary levels with the corresponding miRNAs were also analyzed. Size fractionated small RNAs (16-30 bp) from total RNA extracts was ligated to 5' and 3' adapters, and reverse transcribed. After PCR amplification the sample was subjected to Solexa sequencing. The resultant 35nt sequence data were filtered according to base quality value. The remained sequences were used to trim 5' and 3' adaptors. The clean tags were used for further analysis.

Dataset Information

Differential bottom-up proteomics of truffles

Dataset's files

Publications

Investigation of the Proteomes of the Truffles <i>Tuber albidum pico</i>, <i>T. aestivum</i>, <i>T. indicum</i>, <i>T. magnatum</i>, and <i>T. melanosporum</i>.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets