Proteomics

Dataset Information

0

Quantitative Proteomic Profiling of Pinctada fucata Shell Nacre Defines a Solubility-based Type Classification of Shell Matrix Proteins

ABSTRACT: This project investigates the shell matrix proteome of the nacreous layer of the pearl oyster Pinctada fucata. Nacre powders were subjected to an optimized extraction workflow combining EDTA-mediated decalcification and SDS/DTT-based solubilization to obtain three fractions: EDTA-soluble matrix (ESM), SDS-soluble matrix (SSM) and insoluble matrix (ISM). Each fraction was analysed by nanoLC-MS/MS using data-independent acquisition (DIA), and proteins were identified and quantified using a complete genome-derived database with intensity-based absolute quantification (iBAQ). The resulting dataset provides fraction-resolved protein abundances, solubility-based type classifications and functional annotations (including BLAST and conserved domain searches), and serves as a quantitative reference for comparative studies of molluscan shell biomineralization.

INSTRUMENT(S):

ORGANISM(S): Pinctada Fucata

SUBMITTER: Keisuke Oshima  

LAB HEAD: Michio Suzuki

PROVIDER: PXD071717 | Pride | 2026-06-01

REPOSITORIES: Pride

Json Xml

Dataset's files

Source:
Action DRS
DDA_ESM_rep1.raw Raw
DDA_ESM_rep2.raw Raw
DDA_ESM_rep3.raw Raw
DIA_ESM_rep1.raw Raw
DIA_ESM_rep2.raw Raw
Items per page:
1 - 5 of 16
altmetric image

Publications

Quantitative Proteomic Profiling of Pinctada fucata Shell Nacre Defines a Solubility-Based Type Classification of Shell Matrix Proteins.

Oshima Keisuke K   Negishi Lumi L   Atsumi Takashi T   Kurumizaka Hitoshi H   Suzuki Michio M  

Marine biotechnology (New York, N.Y.) 20260520 3

Shell matrix proteins (SMPs) are key organic components of molluscan biominerals, yet previous nacre proteomics have remained largely qualitative, limiting evaluation of the abundance and fraction association of individual SMPs. Here, we established a quantitative proteomic approach for the nacreous layer of the pearl oyster Pinctada fucata by integrating optimized shell preservation, stepwise fractionation, and data-independent acquisition (DIA) proteomics. SMPs were separated into an ethylened  ...[more]

Similar Datasets

Proteomics Identification of proteins that form complexes with SerpinA1 by LC-MS/MS
2024-10-01 | PXD056002 | Pride
Proteomics LC-MS/MS analysis of FLAG-NEK9 immunoprecipitates
2021-04-09 | PXD024292 | Pride
Transcriptomics Effects of tenascin-C on gene expression in mouse mammary gland tumor
2016-02-10 | E-GEOD-77739 | biostudies-arrayexpress
Transcriptomics Single-cell RNA-sequencing analysis of human iPSC-derived ocular cells
2025-07-31 | E-MTAB-14019 | biostudies-arrayexpress
Transcriptomics Radiation-induced genes expressed in two murine tumors.
2009-03-20 | E-GEOD-5331 | biostudies-arrayexpress
Transcriptomics Analysis of the dose-dependent response of the ribosome-targeting antibiotic lincomycin on gene expression and its relationship to growth and secondary metabolism of S. coelicolor A3(2).
2018-03-02 | E-MTAB-6434 | biostudies-arrayexpress
Transcriptomics The immediate effect of high-intensity green LED stimulation on the gene expression profile of S. coelicolor A3(2)
2023-12-10 | E-MTAB-12876 | biostudies-arrayexpress
Transcriptomics Plasma miRNA Expression Profiling Using Human TaqMan Low Density Array Cards
2013-04-13 | E-GEOD-46012 | biostudies-arrayexpress
Transcriptomics Comparision of expression profile between wild-type and Slc39a13 knockout osteoblasts
2008-11-07 | E-GEOD-10555 | biostudies-arrayexpress
Transcriptomics Gene expression profiles of cervical cancers for novel molecular classification
2010-09-28 | E-GEOD-20167 | biostudies-arrayexpress