ClinicalTrials.gov
public full text
Public Domain
Serum Proteomics Analysis for Sepsis
Serum proteomics is a very useful tool to identify various disease. The purpose of the present study was to find differential proteins among patient with normal, SIRS, sepsis, severe sepsis, death and to screen potential biomarkers for their dynamic changes. Serum proteins were identified by iTRAQ labeling and LC-MS/MS. The bioinformatics analysis was performed with the Mascot software and the International Protein Index (IPI) and the Gene Ontology (GO) Database and KEGG pathway Database. The differentially expressed proteins were verified by Western blot by another sample collected from clinical.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Serum Proteomics Profiling in Newborns: Differences Compared to Adults serum and new molecular markers for neonatal Sepsis#346672
- Transcriptional and Proteomic Analysis of Acute Kidney Injury#1153721
- Functional Genomic Influences on Disease Progression and Outcome in Sepsis#1364991
- Plasma proteomics defines two reproducible subphenotypes of sepsis-associated acute kidney injury with distinct outcomes.#1267126
- Plasma proteomics defines two reproducible subphenotypes of sepsis-associated acute kidney injury with distinct outcomes#675935
Record · ID 1376162
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive