Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Network analysis reveals roles of inflammatory factors in different phenotypes of kidney transplant patients.

Journal of theoretical biology - 7 Dec 2014

Wu Duojiao, Liu Xiaoping, Liu Chen, Liu Zhiping, Xu Ming, Rong Ruiming, Qian Mengjia, Chen Luonan, Zhu Tongyu

Abstract excerpt

BACKGROUND: Systems-level characterization of inflammation in kidney transplantation remains incomplete. By stratifying kidney transplant patients based on phenotypes, the present study sought to identify the role of inflammatory proteins in disease progress and assess potential biomarkers for allograft monitoring. METHODS: Kidney transplant patients with different allograft status were enrolled in the study:...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Antibodies
Share to Cell Lineage

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to False Positive Reactions

Share to Graft Rejection

Share to Kidney Failure, Chronic

Share to Kidney Transplantation

Share to Protein Interaction Mapping

Share to Systems Biology

Source

Identifiers

PMID: 24632444
DOI: 10.1016/j.jtbi.2014.03.006

Genes

TNF

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Network analysis reveals roles of inflammatory factors in different phenotypes of kidney transplant patients.PMID 24632444Read ↗

A new method for classifying different phenotypes of kidney transplantation.Semantic proximity Read ↗

Computational Prediction of Biomarkers, Pathways, and New Target Drugs in the Pathogenesis of Immune-Based Diseases Regarding Kidney Transplantation Rejection.Semantic proximity Read ↗

Noninvasive Identification of Core Gene Biomarkers in Patients with Acute Kidney Transplant RejectionSemantic proximity Read ↗

Noninvasive Identification of Core Gene Biomarkers in Patients with Acute Kidney Transplant RejectionSemantic proximity Read ↗

Identification and validation of immune-related biomarkers and potential regulators and therapeutic targets for diabetic kidney diseaseSemantic proximity Read ↗

Revealing Potential Diagnostic Gene Biomarkers Associated with Immune Infiltration in Patients with Renal Fibrosis Based on Machine Learning AnalysisSemantic proximity Read ↗

The molecular phenotype of kidney transplants.Semantic proximity Read ↗

Landscape of the Immune Infiltration and Identification of Molecular Diagnostic Markers Associated With Immune Cells in Patients With Kidney TransplantationSemantic proximity Read ↗

Protein biomarkers associated with acute renal failure and chronic kidney diseaseSemantic proximity Read ↗

Identification of Diagnostic Gene Biomarkers and Characterization of the Immune Infiltration in Primary Membranous Nephropathy by Integrating Machine-Learning Strategies and Bioinformatic AnalysisSemantic proximity Read ↗

Molecular Pathways Involved in Loss of Kidney Graft Function with Tubular Atrophy and Interstitial FibrosisSemantic proximity Read ↗

Systematic identification of key extracellular proteins as the potential biomarkers in lupus nephritisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.