Browse
Submit Data
Databases
API
Help

Dataset Information

244 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Top-down characterization of lunasin in a commercial soybean-derived product

ABSTRACT: The presence of lunasin was investigated in two soybean products, raw soy seeds and a commercial soybean beverage powder. Lunasin from the commercial soybean derivative was purified by reverse phase high pressure liquid chromatography and bystrong anion exchange solid phase extraction. Lunasin was further characterized by Top-down mass spectrometry (MS). The top-down characterization of lunasin unraveled a wide range of post-translationally modified proteoforms.

INSTRUMENT(S): LTQ Orbitrap Elite

ORGANISM(S): Glycine Max

TISSUE(S): Seed

SUBMITTER: Aida Serra

LAB HEAD: Siu Kwan Sze

PROVIDER: PXD003064 | Pride | 2016-05-24

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Publications

Commercial processed soy-based food product contains glycated and glycoxidated lunasin proteoforms.

Serra Aida A Gallart-Palau Xavier X See-Toh Rachel Su-En RS Hemu Xinya X Tam James P JP Sze Siu Kwan SK

Scientific reports 20160518

Nutraceuticals have been proposed to exert positive effects on human health and confer protection against many chronic diseases. A major bioactive component of soy-based foods is lunasin peptide, which has potential to exert a major impact on the health of human consumers worldwide, but the biochemical features of dietary lunasin still remain poorly characterized. In this study, lunasin was purified from a soy-based food product via strong anion exchange solid phase extraction and then subjected ...[more]

PMID: 27189269

Similar Datasets

Quantitative proteomics reveals the flooding tolerant mechanism in soybean mutant and ABA treated soybean

Project description:Soybean, which provides abundant proteins and edible oil, is an important crop; however, it is very sensitive to flooding stress. The growth and grain yields of soybean are seriously reduced by flooding stress. To explore the initial flooding-tolerant mechanism of soybean, flooding-tolerant mutant line and ABA treated soybean were used. Because both material and treatment showed the flooding tolerance, the commonly changed proteins in plants under initial flooding stress were identified. To identify the common proteins, gel free/label free proteomic technique was used.

2019-01-09 | PXD003329 | Pride

Deep sequencing of the degradome cDNA library in soybean

Project description:We deep sequenced a degradome library constructed from different soybean tissues. As a result, 19,830,257 represented 5,337,590 distinct signatures were obtained. 70.98% of the signatures were assigned to one soybean cDNA sequence and 24.05% matched with two cDNA sequences. 428 potential targets of small RNAs and 25 novel miRNA families were identified in soybean. A total of 211 potential miRNA targets including 150 conserved miRNA targets and 69 soybean-specific miRNA targets were identified. The signatures distribution on soybean primary miRNAs (pri-miRNAs) showed that most of the pri-miRNAs had the characteristic pattern of Dicer processing. The TAS3 small RNAs (siRNAs) biogenesis was conserved in soybean and nine Auxin Response Factors (ARFs) were identified as the TAS3 siRNA targets. The global identification of miRNAs targets would contribute to the functional research of the miRNA in soybean. one sample, We deep sequenced a degradome library constructed from different soybean tissues.

2011-11-02 | E-GEOD-33379 | biostudies-arrayexpress

Proteomic and morphological effect of nanosilver on soybean under flooding stress

Project description:Flooding stress has a negative impact on the soybean cultivation in early growth stages. In order to understand the effect of nanosilver on the soybean growth under flooding stress, quantitative proteomics technique was used.

2016-12-14 | PXD001579 | Pride

Quantitative Proteomics Reveals the Role of Protein Phosphorylation in Initial Changes of Soybean Root Tip under Flooding Stress

Project description:Flooding has a severe negative effect on cultivation in the early stage of soybean growth. To understand the role of protein phosphorylation in early-stage soybean responding to flooding stress, quantitative phosphoproteomic technique was used.

2014-11-13 | PXD000898 | Pride

Quantitative proteomics reveals the effect of protein glycosylation in soybean root under flooding stress

Project description:Flooding stress has a negative impact on soybean cultivation because it severely impairs growth and development. To understand the flooding responsive mechanism in early stage soybeans, a glycoproteomic technique was used

2014-12-08 | PXD001350 | Pride

RNA-seq of soybean lines varying in oil composition and content

Project description:Genetic/genome diversity underlying variation in seed oil composition and content among soybean varieties is largely attributed to differences in transcript sequences and/or transcript accumulation of oil production related genes in seeds. Discovery and analysis of sequence and expression variations in these genes will accelerate soybean oil quality improvement. In an effort to identify these variations, we sequenced the transcriptomes of soybean seeds from nine lines varying in oil composition and/or total oil content. Our results showed that 69,338 distinct transcripts from 32,885 annotated genes were expressed in seeds. A total of 8,037 transcript expression polymorphisms and 50,485 transcript sequence polymorphisms (48,792 SNPs and 1,693 small Indels) were identified among the lines. Effects of the transcript polymorphisms on their encoded protein sequences and functions were predicted. The studies also provided independent evidence that the lack of FAD2-1A gene activity and a non-synonymous SNP in the coding sequence of FAB2C caused elevated oleic acid and stearic acid levels in soybean lines M23 and FAM94-41, respectively. As a proof-of-concept, we developed an integrated RNA-seq and bioinformatics approach to identify and functionally annotate transcript polymorphisms, and demonstrated its high effectiveness for discovery of genetic and transcript variations that result in altered oil quality traits. The collection of transcript polymorphisms coupled with their predicted functional effects will be a valuable asset for further discovery of genes, gene variants, and functional markers to improve soybean oil quality. transcriptome comparison of nine different soybean varieties

2016-01-13 | E-GEOD-56297 | biostudies-arrayexpress

Gel-Free/Label-Free Proteomic Analysis Uncovers the Roles of Endoplasmic Reticulum of Soybean Root Tip under Flooding and Drought Stresses

Project description:As a stresses sensitive crop, this study will give some clues to enhance soybean tolerance of flooding and drought stresses. To uncover the response mechanisms occurring in the ER triggered by flooding and drought, ER proteomics was performed using gel-free/label-free proteomic approach. Besides, glycoproteomics was also producted to investigate the ER funtion in glycoprotein synthesis under stresses

2017-04-03 | PXD003397 | Pride

Deep sequencing of small RNAs and degradome cDNA library in soybean

Project description:This SuperSeries is composed of the following subset Series: GSE33378: Deep sequencing of small RNAs from different tissues in soybean GSE33379: Deep sequencing of the degradome cDNA library in soybean Refer to individual Series

2011-11-02 | E-GEOD-33380 | biostudies-arrayexpress

Application of Simulation Model to Uncover the Mechanisms of Flooding Tolerance and Difference between Flooding and Drought in Soybean

Project description:To decipher stress responses under flooding and drought as well as flooding-tolerant mechanisms in soybean, the mathematic biological approach of simulation model was applied. Furthermore, wild-type soybean with ABA treatment and flooding-tolerant mutant line, which displayed flooding tolerance, were used as the flooding-tolerant materials. Proteins acquired by gel-free/label-free proteomic technique were used for simulation model of responses under different stresses and flooding tolerant.

2018-10-26 | PXD005680 | Pride

Transcription profiling of soybean soybean line PI200492 resistant to P. pachyrhizi

Project description:Affymetrix soybean genome arrays were used to identify genes differentially expressed in the immune resistance response at 6, 12, 24, and 48 hours after inoculation with Phakopsora pachyrhizi isolates TW72-1 or HW94-1; soybean + HW94-1 = resistant; soybean + TW72-1 = susceptible Experiment Overall Design: For each of 4 time points (6, 12, 24 and 48 hours post inoculation) a soybean PI200492 plant was inoculated with 2 treatments: HW94-1, or TW72-1. A mock inoculation was performed and sampled at time 0. There were three biological replicates of the entire experiment, for a total of 27 samples. During data analysis two samples failed the quality control metrics and were removed from the analysis, leaving 25 samples in the final data set.

2008-06-16 | E-GEOD-8432 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data