Dataset Information

Label-based proteomic comparison of four Persimon cultivars from south Italy

ABSTRACT: Differentiation of Persimmon ecotypes by label-based proteomics analysis. The aim of the study is to identify quantitative differences in proteomic profile occurring in the fruits harvested at commercial ripening. The proteomic data obtained by TMT-based analysis will be related to agronomic data, chemical-physical characteristics, data on the main metabolites of interest for the organoleptic and nutritional properties of the fruits.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Diospyros Kaki

SUBMITTER: anna maria salzano

LAB HEAD: Andrea Scaloni

PROVIDER: PXD037485 | Pride | 2023-03-11

REPOSITORIES: Pride

ACCESS DATA

Publications

Investigating phenotypic relationships in persimmon accessions through integrated proteomic and metabolomic analysis of corresponding fruits.

De Pascale Sabrina S Troise Antonio Dario AD Petriccione Milena M Nunziata Angelina A Cice Danilo D Magri Anna A Salzano Anna Maria AM Scaloni Andrea A

Frontiers in plant science 20230130

Together with phenological and genomic approaches, gel-based and label-free proteomic as well metabolomic procedures were separately applied to plants to highlight differences between ecotypes, to estimate genetic variability within/between organism populations, or to characterize specific mutants/genetically modified lines at metabolic level. To investigate the possible use of tandem mass tag (TMT)-based quantitative proteomics in the above-mentioned contexts and based on the absence of combine ...[more]

PMID: 36794209

Similar Datasets

Project description:MicroRNAs (miRNAs) are a class of small RNAs which typically function by guiding cleavage of target messenger RNAs. They have been shown to play major roles in a variety of plant processes including development, and responses to pathogens and environmental stresses. To identify new miRNAs and regulation in Arabidopsis thaliana, 27 small RNA libraries were constructed and sequenced from various tissues, stresses and small RNA biogenesis mutants, resulting in 95 million genome-matched sequences. The use of rdr2 to enrich the miRNA population greatly enhanced this analysis and led to the discovery of 44 new miRNAs arising from both known and new precursors. Parallel Analysis of RNA Ends (PARE) data provide evidence that the majority guide target cleavage. The inclusion of novel stress/tissue conditions, such as submergence-stressed flowers, enabled identification of new stress regulation of both miRNAs and their targets, all of which were validated in wild type plants. By combining small RNA expression analysis with ARGONAUTE (AGO) immunoprecipitation data and global target cleavage data from PARE, a much more complete picture of Arabidopsis miRNAs was obtained. This combinatorial approach led to the discovery of AGO loading and target cleavage biases, which gave important insights into tissue-specific expression patterns, pathogen responses and the role of sequence variation among closely related miRNA family members. Examination of various tissues, stresses and small RNA biogenesis mutants in Arabidopsis by high-throughput sequencing for small RNA profiling. We have used AGO-IP and PARE data from the published data, which were downloaded from NCBI GEO with the following accession number. AGO-IP from GSM253622, GSM707682, GSM642335, GSM642336, GSM512703, GSM512702, GSM707683, GSM707684, GSM707685, GSM149080, GSM253623, GSM304283, GSM642337, GSM642338, GSM253624, GSM415788, GSM707686, GSM707687, GSM707688, GSM707689, GSM415787, GSM149081, GSM253625, GSM415789, GSM415790, GSM304285, GSM415791, GSM415792 PARE sequencing data from xrn4 flowers were obtained from Gene Expression Omnibus with accession number GSM280227.

Dataset Information

Label-based proteomic comparison of four Persimon cultivars from south Italy

Publications

Investigating phenotypic relationships in persimmon accessions through integrated proteomic and metabolomic analysis of corresponding fruits.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure