Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Metaproteomics analysis of the Caprino Nicastrese cheese

ABSTRACT: This is the first metaproteomics-based featuring of the microbial community harbured in the traditional raw milk Caprino Nicastrese cheese

INSTRUMENT(S): LTQ Orbitrap Elite

ORGANISM(S): Bos Taurus (bovine) Bacteria

SUBMITTER: Bruno Tilocca

LAB HEAD: Paola Roncada

PROVIDER: PXD032280 | Pride | 2023-03-11

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	Sample1A_RUN1_060619.raw	Raw
	Sample1A_RUN2_060619.raw	Raw
	Sample1A_RUN3_060619.raw	Raw
	Sample2A_RUN1_060619.raw	Raw
	Sample2A_RUN2_060619.raw	Raw

Items per page:

1 - 5 of 32

Publications

The Functional Characteristics of Goat Cheese Microbiota from a One-Health Perspective.

Tilocca Bruno B Soggiu Alessio A Iavarone Federica F Greco Viviana V Putignani Lorenza L Ristori Maria Vittoria MV Macari Gabriele G Spina Anna Antonella AA Morittu Valeria Maria VM Ceniti Carlotta C Piras Cristian C Bonizzi Luigi L Britti Domenico D Urbani Andrea A Figeys Daniel D Roncada Paola P

International journal of molecular sciences 20221116 22

Goat cheese is an important element of the Mediterranean diet, appreciated for its health-promoting features and unique taste. A pivotal role in the development of these characteristics is attributed to the microbiota and its continuous remodeling over space and time. Nevertheless, no thorough study of the cheese-associated microbiota using two metaomics approaches has previously been conducted. Here, we employed 16S rRNA gene sequencing and metaproteomics to explore the microbiota of a typical ...[more]

PMID: 36430609

Similar Datasets

Anabolic effects of cheddar cheese consumption in human skeletal muscle

Project description:The goal of this project was to use a randomized, cross over design to determine the amino acid blood and muscle response to the acute ingestion of cheddar cheese in comparison to that of bovine milk and to investigate the skeletal muscle mTORC1 response.

2021-01-31 | GSE163279 | GEO

RNA-Seq data from dairy goat milk somatic cells in response to fish oil diet induced milk fat depression

Project description:Dietary supplementation with fish-oil modulates ruminant milk composition towards a healthier fatty acid profile for consumers, but it also causes milk fat depression (MFD). Because the dairy goat industry is mainly oriented towards cheese manufacturing, MFD can elicit economic losses. There is large individual variation in animal susceptibility with goats more (RESPO+) or less (RESPO−) responsive to diet-induced MFD. Thus, we used RNA-Seq to examine gene expression profiles in mammary cells to elucidate mechanisms underlying MFD in goats and individual variation in the extent of diet-induced MFD.

2022-12-11 | E-MTAB-11581 | biostudies-arrayexpress

Transcriptional Profile of Lactobacillus helveticus grown in milk vs. MRS medium

Project description:L. helveticus is used to modulate cheese flavor and as a starter organism in certain cheese varieties. Our group has compiled a draft (4x) sequence for the 2.4 Mb genome of an industrial strain L. helveticus CNRZ32. The primary aim was to investigate expression of 168 completely sequenced genes during growth in milk and MRS medium using microarrays. Oligonucleotide probes against each of the completely sequenced genes were compiled on maskless photolithography-based DNA microarrays. Additionally, the entire draft genome sequence was used to produce tiled microarrays where the non-interrupted sequence contigs were covered by consecutive 24-mer probes. Keywords: growth conditions response

2007-02-14 | GSE7005 | GEO

Propionibacterium freudenreichii ssp. shermanii JS genome annotation project

Project description:Propionibacterium freudenreichii is an important starter culture used in the manufacture of Swiss-type cheeses. We have generated the complete genome sequence of a Propionibacterium freudenreichii ssp. shermanii strain JS at the Institute of Biotechnology, University of Helsinki, by using a combination of pyrosequencing with GS FLX and GS FLX Titanium series reagents (Roche) and SOLiD 4 (Life Technologies), ABI 3130xl Genetic Analyzer (Life Technologies), and PacBio RS II (Pacific Biosciences) instruments. Initial genome annotation was carried out using RAST, and additional functional annotation information for each CDS was obtained from BLANNOTATOR, CDD, and KAAS. Accession number for genome sequence is PRJEB12148. This submission is for the transcriptome analysis of Propionibakcterium freudenreichii in cheese ripening under warm and cold conditions. The RNA reads were mapped to the reference genome PRJEB12148.

2016-04-14 | E-MTAB-4593 | biostudies-arrayexpress

food metagenome

Project description:milk and cheese Metagenome

| PRJNA297502 | ENA

Metaproteomics-based exploration of Apis mellifera ligustica bee gut microbiota

Project description:Explorative description of the gut microbiota of Apis mellifera ligustica. the study aims at describing the diverse fractions of the microbial community including bacteria, fungi, unicellular parasites

2024-06-16 | PXD043896 | Pride

Genome heterogeneity in Lactobacillus helveticus: Rethinking a “niche specialist”*

Project description:Lactobacillus helveticus is a rod-shaped lactic acid bacterium that is widely used in the manufacture of fermented dairy foods and for production of bioactive peptides from milk proteins. Although L. helveticus is commonly associated with milk environments, phylogenetic studies show it is closely related to an intestinal species, Lactobacillus acidophilus, which has been shown to impart probiotic health benefits to humans. This relationship has fueled a prevailing hypothesis that L. helveticus is a highly specialized derivative of L. acidophilus which has adapted to acidified whey. However, L. helveticus has also been sporadically recovered from non-dairy environments, which argues the species may not be as highly specialized as is widely believed. This study employed genome sequence analysis and comparative genome hybridizations to investigate genomic diversity among L. helveticus strains collected from cheese, whey, and whiskey malt, as well as commercial cultures used in manufacture of cheese or bioactive dairy foods. Results revealed considerable variability in gene content between some L. helveticus strains, and indicated the species should not be viewed as a strict dairy-niche specialist. In addition, comparative genomic analyses provided new insight on several industrially and ecologically important attributes of L. helveticus that may facilitate commercial strain selection.

2013-08-16 | GSE23660 | GEO

Transcriptomic profiles of six strains of Lactococcus lactis in ultrafiltration-cheese model

Project description:The intra sub-species diversity of six strains of Lactococcus lactis subsp. lactis was investigated at the genomic level and in terms of phenotypic and transcriptomic profiles in UF-cheese model. Six strains were isolated from various sources, but all are exhibiting a dairy phenotype. Our results showed that, the six strains exhibited small phenotypic differences since similar behaviour in terms of growth was obtained during cheese ripening while only different acidification capability was detected. Even if all strains displayed high genomic similarities, sharing a high core genome of almost two thousands genes, the expression of this core genome directly in the cheese matrix revealed major strain-specific differences. This strains with the same dairy origin. Strains were cultured on skimmed raw milk ultrafiltration (UF) retentate. The UF retentate was pre-incubated overnight at 4 °C, then 45 minutes at 50 °C and homogenized during 1.5 minutes at 24 000 rpm with an ultra-turax (Imlab, France). After addition of rennet (0.3 µl ml-1), 400 g UF retentate was inoculated at 2 106 CFU/g with L. lactis subsp. lactis strains. After incubation for 8 hours at 30 °C, the cheeses were transferred at 12° C until 7 days for ripening simulation. At least three independent cultures of the six strains were performed. Total RNA was extracted from cells grown 24 hours in UF-cheese and radiolabelled cDNA were prepared and hybridized on nylon arrays. 1948 amplicons specific of Lactococcus lactis IL1403 genes were spotted twice on the array. 3 independent repetitions were performed.

2012-09-07 | E-GEOD-23987 | biostudies-arrayexpress

Sheep milk transcriptome

Project description:This study presents a dynamic characterization of the sheep milk transcriptome aiming at achieving a better understanding of the sheep lactating mammary gland. Transcriptome sequencing (RNA-seq) was performed on total RNA extracted from milk somatic cells from ewes on days 10, 50, 120 and 150 after lambing. The experiment was performed in Spanish Churra and Assaf breeds, which differ in their milk production traits. Nearly 67% of the annotated genes in the reference genome (Oar_v3.1) were expressed in ovine milk somatic cells. For the two breeds and across the four lactation stages studied, the most highly expressed genes encoded caseins and whey proteins. We detected differentially expressed genes (DEGs) across lactation points, with the largest differences being found, between day 10 and day 150. Upregulated GO terms at late lactation stages were linked mainly to developmental processes linked to extracellular matrix remodeling. A total of 256 annotated DEGs were detected in the Assaf and Churra comparison. Some genes selectively upregulated in the Churra breed grouped under the endopeptidase and channel activity GO terms. These genes could be related to the higher cheese yield of this breed. Overall, this study provides the first integrated overview on sheep milk gene expression.

2016-06-07 | GSE74825 | GEO

Impact of Staphylococcus aureus infection on the late lactation goat milk proteome: new perspectives for monitoring and understanding mastitis in dairy goats

Project description:This investigation reports a differential proteomic analysis of the goat milk to evaluate and understand the protein changes induced by Staphylococcus spp. during a subclinical intramammary infection (IMI). A number of 9 milk samples from multiparous goats were selected for the study, 3 of which in mid-lactation (30-60 Days in milk - DIM) with very low somatic cell count (SCC) from half-udders producing a sterile milk bacterial culture (MLU), 3 of which in late lactation samples (> 250 DIM) with SCC > 2,000,000 cells/mL from half-udders producing a sterile milk bacterial culture for the whole lactation (LHU) and in conclusion 3 in late lactation (> 250 DIM) with SCC > 2,000,000 cells/mL from goat half-udders with a milk bacterial culture repeatedly positive for Staphylococcus aureus (LHS). Samples were analyzed using a shotgun proteomics approach, based on filter-aided sample preparation (FASP) followed by LC-MS/MS and on differential analysis conducted by spectral count approach (1). (1) Pisanu S, Cacciotto C, Pagnozzi D, Puggioni GMG, Uzzau S, Ciaramella P, Guccione J, Penati M, Pollera C, Moroni P, Bronzo V, Addis MF. Proteomic changes in the milk of water buffaloes (Bubalus bubalis) with subclinical mastitis due to intramammary infection by Staphylococcus aureus and by non-aureus staphylococci. Sci Rep, 2019, 9 (1), 15850. Here, we reported both a characterization of goat milk proteins and a panel of differential proteins specific of S. Aureus-infected milk that mostly affected proteins involved in defense response processes and cytoskeleton organization. In conclusion, our results provide a depth characterization of milk proteins in goat samples uninfected and infected with S. Aureus, describe the changes induced by LHU and LHS subclinical intramammary infection and suggest indications to reveal subclinical staphylococcal mastitis in goat by a proteomic investigation of milk.

2020-04-09 | PXD017243 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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