Innate and adaptive immune gene expression profiles as biomarkers in human type 1 diabetes

Journal article

Open access

Peer reviewed

D HAN, X CAI, J WEN, D MATHESON, J. S SKYLER, N. S KENYON and Z CHEN

Clinical and experimental immunology, Vol.170(2), pp.131-138

2012

PMCID: PMC3482359

PMID: 23039883

Abstract

Fundamental and applied biological sciences. Psychology

Diabetes. Impaired glucose tolerance

Analytical, structural and metabolic biochemistry

Biological and medical sciences

Endocrinopathies

Etiopathogenesis. Screening. Investigations. Target tissue resistance

Medical sciences

Endocrine pancreas. Apud cells (diseases)

url

https://doi.org/10.1111/j.1365-2249.2012.04650.xView

Published (Version of record) Open

11 Record Views

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Citation topics: 1 Clinical & Life Sciences; 1.26 Diabetes; 1.26.1016 Type 1 Diabetes
Web Of Science research areas: Immunology
ESI research areas: Immunology

This output has contributed to the advancement of the following goals:

Source: InCites

Title: Innate and adaptive immune gene expression profiles as biomarkers in human type 1 diabetes
Creators: D HAN - Diabetes Research Institute, University of Miami, FL, United States
X CAI - Department of Electrical and Computer Engineering, University of Miami, FL, United States
J WEN - Department of Electrical and Computer Engineering, University of Miami, FL, United States
D MATHESON - Diabetes Research Institute, University of Miami, FL, United States
J. S SKYLER - Diabetes Research Institute, University of Miami, FL, United States
N. S KENYON - Diabetes Research Institute, University of Miami, FL, United States
Z CHEN - Diabetes Research Institute, University of Miami, FL, United States
Publication Details: Clinical and experimental immunology, Vol.170(2), pp.131-138
Publisher: Blackwell; Oxford
Academic Unit: Leadership Department; Miller School of Medicine; College of Engineering; Diabetes Research Institute (DRI); Microbiology and Immunology Research; CoE - Electrical & Computer Engineering
Language: English
Resource Type: Journal article
PMID: 23039883
PMCID: PMC3482359
Record Identifier: 991031560218602976