Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Proteomics data for identification of Saiga antelope horn

ABSTRACT: Proteomics data for identification of Saiga antelope horn

ORGANISM(S): Saiga Tatarica

SUBMITTER: Jinao Duan

PROVIDER: PXD052162 | iProX | Thu May 09 00:00:00 BST 2024

REPOSITORIES: iProX

ACCESS DATA

Json Xml

Similar Datasets

Proteomics profiling of sera from normoglycaemic twins for which the body mass index is known

Project description:Bead-based proteomics MolPAGE study using sera from normoglycaemic twins

2008-11-02 | E-TABM-370 | biostudies-arrayexpress

Exon level integration of proteomics and microarray data

Project description:Background: Previous studies comparing quantitative proteomics and microarray data have generally found poor correspondence between the two. We hypothesised that this might in part be because the different assays were targeting different parts of the expressed genome and might therefore be subjected to confounding effects from processes such as alternative splicing. Results: Using a genome database as a platform for integration, we combined quantitative protein mass spectrometry with Affymetrix Exon array data at the level of individual exons. We found significantly higher degrees of correlation than have been previously observed (r=0.808). The study was performed using cell lines in equilibrium in order to reduce a major potential source of biological variation, thus allowing the analysis to focus on the data integration methods in order to establish their performance. Conclusion: We conclude that much of the variation observed when integrating microarray and proteomics data may occur as a consequence both of the data analysis and of the high granularity to which studies have until recently been limited. The approach opens up the possibility for the first time of considering combined microarray and proteomics datasets at the level of individual exons and isoforms, important given the high proportion of alternative splicing observed in the human genome.

2009-11-24 | GSE19154 | GEO

Evaluating the utility of proteomics for the identification of circulating pharmacodynamic biomarkers of IFNβ-1 biologics

Project description:In this study, we evaluated the utility of proteomics to identify plasma proteins in healthy participants from a phase I clinical trial with IFNβ-1a and pegIFNβ-1a biologics to identify potential pharmacodynamic (PD) biomarkers. Using a linear mixed-effects model with repeated measurement for product-time interaction, we found that 248 and 528 analytes detected by the SOMAscan® assay were differentially expressed (p-value < 6.86E-06) between therapeutic doses of IFNβ-1a or pegIFNβ-1a, and placebo, respectively. We further prioritized signals based on peak change, area under the effect curve over the study duration, and overlap in signals from the two products. Analysis of prioritized datasets indicated activation of IFNB1 signaling and an IFNB signaling node with IL-6 as upstream regulators of the plasma protein patterns from both products. Increased TNF, IL-1B, IFNG, and IFNA signaling also occurred early in response to each product suggesting a direct link between each product and these upstream regulators. In summary, we identified longitudinal global PD changes in a large array of new and previously reported circulating proteins in healthy participants treated with IFNβ-1a and pegIFNβ-1a that may help identify novel single proteomic PD biomarkers and/or composite PD biomarker signatures as well as provide insight into the mechanism of action of these products. Independent replication is needed to confirm present proteomic results and to support further investigation of the identified candidate PD biomarkers for biosimilar product development.

2023-10-31 | GSE207945 | GEO

Identification of a bile acid-binding transcription factor in Clostridioides difficile using chemical proteomics

Project description:Identification of a bile acid-binding transcription factor in Clostridioides difficile using chemical proteomics

| PRJNA844117 | ENA

Targeted proteomics analysis of Cutaneous Lupus Erythematosus patient interstitial skin fluid and plasma (Inflammation panel data)

Project description:We performed a targeted proteomics analysis of Cutaneous Lupus Erythematosus (CLE) patient blister biopsies and plasma using Olink Proteomics panels to validate the blister biopsy technique using previously identified biomarkers, to confirm protein-level expression of biomarkers previously identified at the RNA level, and to identify new biomarkers of disease.

2024-01-31 | GSE182301 | GEO

Targeted proteomics analysis of Cutaneous Lupus Erythematosus patient interstitial skin fluid and plasma (Neuro Exploratory panel data)

2024-01-31 | GSE182300 | GEO

Multi Omics analysis of fibrotic kidneys in two mouse models (Folic acid (FA) model MS data set)

Project description:Kidney fibrosis represents an urgent unmet clinical need due to the lack of effective therapies and inadequate understanding of the molecular pathogenesis. We have generated a comprehensive and integrated multi-omics data set (proteomics, mRNA and small RNA transcriptomics) of fibrotic kidneys that is searchable through a user-friendly web application. Two commonly used mouse models were utilized: a reversible chemical-induced injury model (folic acid (FA) induced nephropathy) and an irreversible surgically-induced fibrosis model (unilateral ureteral obstruction (UUO)). mRNA and small RNA sequencing as well as 10-plex tandem mass tag (TMT) proteomics were performed with kidney samples from different time points over the course of fibrosis development. The bioinformatics workflow used to process, technically validate, and integrate the single data sets will be described. In summary, we present temporal and integrated multi-omics data from fibrotic mouse kidneys that are accessible through an interrogation tool to provide a searchable transcriptome and proteome for kidney fibrosis researchers.

2019-05-07 | GSE126181 | GEO

Multi Omics analysis of fibrotic kidneys in two mouse models (Unilateral ureter obstruction (UUO) model MS data set)

2019-05-07 | GSE126182 | GEO

hymenophyllum caudiculatum , hymenophyllum dentatum proteomics

Project description:hymenophyllum caudiculatum , hymenophyllum dentatum proteomics by 2D gel ESI MS/MS

| PRJEB22971 | ENA