Browse
Submit Data
Databases
API
Help

Dataset Information

356 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Bovine milk LCMSMS proteomics - Proteomics data in support of the quantification of the changes of bovine milk proteins during mammary gland involution

ABSTRACT: This project tested the hypothesis that drying off and involution is accompanied by similar changes among the low abundance proteins as mastitis, thereby presenting a possible alternative means of maximising yields of host-defence-associated bioactive proteins

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Bos Taurus (bovine)

TISSUE(S): Milk

SUBMITTER: Sjef Boeren

LAB HEAD: Sjef Boeren

PROVIDER: PXD003011 | Pride | 2016-09-27

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	LZ095_Bovine_milk_NZ.RAW	Raw
	LZ096_Bovine_milk_NZ.RAW	Raw
	LZ097_Bovine_milk_NZ.RAW	Raw
	LZ098_Bovine_milk_NZ.RAW	Raw
	LZ099_Bovine_milk_NZ.RAW	Raw

Items per page:

1 - 5 of 7

Publications

Proteomics data in support of the quantification of the changes of bovine milk proteins during mammary gland involution.

Boggs Irina I Hine Brad B Smolenksi Grant G Hettinga Kasper K Zhang Lina L Wheeler Thomas T TT

Data in brief 20160513

Here we provide data from three proteomics techniques; two-dimensional electrophoresis (2-DE) followed by identification of selected spots using PSD MALDI-TOF MS/MS, one-dimensional gel electrophoresis followed by LC-MS/MS analysis of gel slices (GeLC) and dimethyl isotopic labelling of tryptic peptides followed by Orbitrap MS/MS (DML), to quantify the changes in the repertoire of bovine milk proteins that occurs after drying off. We analysed skim milk and whey sampled at day 0 and either day 3 ...[more]

PMID: 27274532

Similar Datasets

Proteomic analysis of bovine milk-derived extracellular vesicles isolated via salting-out

Project description:We developed a novel and cost-effective procedure to separate bovine milk-derived extracellular vesicles via salting-out and aimed to profile their proteomics as one important characterization in EV research.

2021-11-02 | PXD028095 | Pride

Bovine milk proteome during involution

Project description:This project tested the hypothesis that drying off and involution is accompanied by similar changes among the low abundance proteins as mastitis, thereby presenting a possible alternative means of maximising yields of host-defence-associated bioactive proteins.

2016-06-14 | PXD003110 | Pride

Proteomics analysis of milk from cows with Staphylococcus aureus subclinical mastitis

Project description:Liquid chromatography-mass spectrometry (LC/MS) based label free quantitative proteomics analysis was applied for identification of differentially expressed proteins among the whey samples isolated from, 1) milk from cows with no history of mastitis, negative for S. aureus and somatic cell count (SCC) >2×105 cells\ml and 2) milk samples from sub-clinical mastitis., i.e., positive for S. aureus and SCC >2×105 cells\ml.

2018-01-02 | PXD007516 | Pride

Heat-treatments affect protease activities and peptide profiles of ruminants’ milk

Project description:Proteases present in milk are heat-sensitive, and their activities increase or decrease depending on the intensity of the thermal treatment applied. The thermal effects on the protease activity are well-known for bovine milk but poorly understood for ovine and caprine milk. This study aimed to determine the nonspecific and specific protease activities in casein and whey fractions isolated from raw bovine, ovine and caprine milk collected in early lactation, and to determine the effects of low-temperature, long-time (63°C for 30 min) and high-temperature, short-time (85°C for 5 min) treatments on protease activities within each milk fraction.

2021-09-09 | PXD022702 | Pride

A Comparative Proteomic Analysis of Whey Protein from Early, Mid and Late Lactation Stages of Indian Indigenous Breed, MalnadGidda (Bosindicus)

Project description:Different lactation stages have marked influence on milk yield, milk constituents and nourishment of the neonates. However, the differential gene expression during different lactation stages in Bosindicus has not been investigated so far. In this study, we carried out high-resolution mass spectrometry-based quantitative proteomics of bovine whey at early, mid and late lactation stages of MalnadGidda (Bosindicus) cows. Using TMT-based quantitative proteomics, we compared the bovine whey proteins on progressive lactation stages of Indian breed, MalnadGidda(Bosindicus). LC-MS/MS analysis of whey peptides from early, mid and late lactation stages resulted in the generation of 420,092 MS/MS spectra and 50,800 peptide spectrum matches, which led to the identification of 4,450 peptides corresponding to 725 proteins. Out of which, 440 proteins were differentially expressed (≥1.5-fold). Gene Ontology studies showed that proteins that regulatemilk composition and mammary growth associated proteins are abundantly expressed during peak lactation stages. Whereas, proteins related to pregnancy and mammary involution are expressed high in late and mid lactation stages indicating the physiological changes in the maternal system of bovine during drying period. Detection of progestagen associated endometrial protein; an immune protein seen in the fetomaternal interface and other pregnancy associated proteins at mid lactation suggest a candidate biomarker for the early pregnancy diagnosis. These results are overlapping with the previous findings addressed in milk from exotic breeds. We strongly believe that this preliminary investigation on differential proteome in milk whey over the course of lactation of indigenous cattle could answer many unsolved questions in lactation biology.

2018-02-16 | PXD007655 | Pride

Proteomic changes of whey proteins after heating at different temperatures

Project description:This study was conducted in order to relatively quantify the changes in the native protein profile of whey after heating milk at 65 °C, 70°C, 75°C, 80°C, 85°C for 30 min

2020-01-27 | PXD016436 | Pride

Differences in the bovine milk whey proteome between early pregnancy and the estrous cycle

Project description:As current bovine pregnancy detection methods are not reliable until at least day 28 post artificial insemination (AI), commercial interest exists for the discovery of novel biomarkers of pregnancy which could reliably detect pregnancy status at or before day 21 of pregnancy. This would allow producers the opportunity to rebreed at the next oestrus event. Therefore, the objective of the present study was to use liquid chromatography tandem mass spectrometry (LC-MS/MS) to perform a global, label-free, proteomics study on (i) whole milk whey and (ii) extracellular vesicle (EV) enriched milk whey samples, from day 21 of pregnancy and day 21 of the oestrous cycle, in order to identify potential protein biomarkers of early pregnancy. The oestrous cycles of 10 dairy cows were synchronised, they went through one (control) oestrous cycle and these cows were artificially inseminated during the following oestrous. These cows were confirmed pregnant by ultrasound scanning. Milk whey samples were collected on day 21 of the oestrous cycle and on day 21 post AI. A Q-Exactive was used to analyse whole milk whey samples and EV enriched milk whey samples by LC-MS/MS and subsequent analyses of the label-free quantitative data was performed in MaxQuant and Perseus. Four proteins (APOB, SPADH1, PLIN2 and LPO) were differentially expressed between the proteomes of whole milk whey from day 21 of pregnancy and day 21 of the oestrous cycle (P<0.05). Ten proteins (PIGR, PGD, QSOX1, MUC1, SRPRA, MD2, GAPDH, FOLR1, GPRC5B and HHIPL2) were differentially expressed between the proteomes of milk whey from day 21 of pregnancy and day 21 of the oestrous cycle (P<0.05). These proteins are potential milk whey biomarkers of early pregnancy; however, the small fold change differences in their abundance between samples obtained during early pregnancy and during oestrous will restrict their use in a pregnancy diagnosis test.

2018-04-23 | PXD007927 | Pride

Discovery-driven target selection from six milk-derived ingredients for consensus detection of casein and whey milk allergens

Project description:Milk is one among the most common food allergens and the proteins representing caseins and whey fractions of milk have been characterized as the major triggers for allergic responses in susceptible individuals. Milk or milk-derived ingredients- varying in their casein and whey protein content and composition- are present as an ingredient in many foods. This project was designed to identify candidate target peptides for casein and whey fractions of milk which can be used for milk allergen detection from foods irrespective of the type of ingredients used in them.

2020-06-05 | PXD016429 | Pride

Comparative milk proteome analysis of Kashmiri and Jersey cattle identifies differential expression of key proteins involved in immune system regulation and milk quality

Project description:Exploration of the bioactive components of bovine milk has gained global interest due to their potential applications in human nutrition and health promotion. Despite advances in proteomics profiling, limited studies have been carried out to fully characterize the bovine milk proteome. This study explored the milk proteome of Jersey and Kashmiri cattle at day 90 of lactation using high-resolution mass spectrometry based quantitative proteomics nano-scale LC-MS/Q-TOF technique.

2020-02-19 | PXD017412 | Pride

Analysis of human breast milk cells: gene expression profiles during pregnancy, lactation, involution and mastitic infection.

Project description:The molecular processes underlying human milk production and the effects of mastitic infection are largely unknown because of limitations in obtaining tissue samples. Determination of gene expression in normal lactating women would be a significant step towards understanding why some women display poor lactation outcomes. Here we demonstrate the utility of RNA obtained directly from human milk cells to detect mammary epithelial cell (MEC)-specific gene expression. Milk cell RNA was collected from 5 time points (24 hours pre-partum during the colostrum period, mid lactation, two involution, and during a bout of mastitis) in addition to an involution series comprising three time points. Gene expression profiles were determined by use of human Affymetrix arrays. Milk cells collected during milk production showed that the most highly expressed genes were involved in milk synthesis (eg. CEL, OLAH, FOLR1, BTN1A1, ARG2), while milk cells collected during involution showed a significant down regulation of milk synthesis genes and activation of involution associated genes (eg. STAT3, NF-kB, IRF5, IRF7). Milk cells collected during mastitic infection revealed regulation of a unique set of genes specific to this disease state, whilst maintaining regulation of milk synthesis genes. Use of conventional epithelial cell markers was used to determine the population of MECâ??s within each sample. This paper is the first to describe the milk cell transcriptome across the human lactation cycle and during mastitic infection, providing valuable insight into gene expression of the human mammary gland. Human milk sampling throughout lactation cycle and during mastitic infection.

2016-04-01 | E-GEOD-77978 | biostudies-arrayexpress

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