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Characteristics and Bioinformatics identification of Peptides from Natural and cultured sandfish (Holothuria scabra) Using Double Hydrolysis

ABSTRACT: This study aimed to investigate the characteristics and bioinformatics identification of peptides in sandfish (Holothuria scabra) protein hydrolysate from natural and cultured sources. Sandfish from both sources were subjected to double enzymatic hydrolysis using Neutral protease-Alcalase (NA), Papain-Neutral protease (PN), and Papain-Alcalase (PA) to obtain protein hydrolysates. The hydrolysates were analyzed for amino acid composition, protein molecular weight distribution, functional groups using FTIR spectroscopy, LC-MSMS analysis coupled with bioinformatics for protein and peptide identification, and mineral profile.

ORGANISM(S): Cellular Organisms

SUBMITTER: Wanwimol Klaypradit

PROVIDER: PXD054884 | JPOST Repository | Thu Aug 14 00:00:00 BST 2025

REPOSITORIES: jPOST

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Project description:Formalin-fixed, paraffin-embedded (FFPE) tissues have many advantages for identification of risk biomarkers, including wide availability and potential for extended follow-up endpoints. However, RNA derived from archival FFPE samples has limited quality. Here we identified parameters that determine which FFPE samples have the potential for successful RNA extraction, library preparation, and generation of usable RNAseq data. We optimized library preparation protocols designed for use with FFPE samples using seven FFPE and Fresh Frozen replicate pairs, and tested optimized protocols using a study set of 130 FFPE biopsies from women with benign breast disease. Metrics from RNA extraction and preparation procedures were collected and compared with bioinformatics sequencing summary statistics. Finally, a decision tree model was built to learn the relationship between pre-sequencing lab metrics and qc pass/fail status as determined by bioinformatics metrics.. Samples that failed bioinformatics qc tended to have low median sample-wise correlation within the cohort (Spearman correlation < 0.75), low number of reads mapped to gene regions (< 25 million), or low number of detectable genes (11,400 # of detected genes with TPM > 4). The median RNA concentration and pre-capture library Qubit values for qc failed samples were 18.9 ng/ul and 2.08 ng/ul respectively, which were significantly lower than those of qc pass samples (40.8 ng/ul and 5.82 ng/ul). We built a decision tree model based on input RNA concentration, input library qubit values, and achieved an F score of 0.848 in predicting QC status (pass/fail) of FFPE samples. We provide a bioinformatics quality control recommendation for FFPE samples from breast tissue by evaluating bioinformatic and sample metrics. Our results suggest a minimum concentration of 25 ng/ul FFPE-extracted RNA for library preparation and 1.7 ng/ul pre-capture library output to achieve adequate RNA-seq data for downstream bioinformatics analysis.

			Action	DRS
	CNA-1.mgf	Mgf
	CNA-1.mzXML	Mzxml
	CNA-2.mgf	Mgf
	CNA-2.mzXML	Mzxml
	CNA-3.mgf	Mgf

Dataset Information

Characteristics and Bioinformatics identification of Peptides from Natural and cultured sandfish (Holothuria scabra) Using Double Hydrolysis

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