Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Plasma induced signatures reveal an extracellular milieu possessing an immunoregulatory bias in treatment naïve inflammatory bowel disease

ABSTRACT: The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously, we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we apply this approach to inflammatory bowel disease by examining groups of Crohn's disease (CD) and ulcerative colitus (UC) patients. The induced plasma induced signatures are compared to those of Type 1 diabetes patients (RO T1D) as well as unrelated healthy controls (uHC).

ORGANISM(S): Homo sapiens

PROVIDER: GSE71730 | GEO | 2015/10/01

SECONDARY ACCESSION(S): PRJNA291926

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptional Signatures as a Disease-Specific and Predictive Inflammatory Biomarker for Type 1 Diabetes [T1D_114]

Project description:The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously, we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we analyzed larger RO T1D and HC cohorts. In addition, we examined T1D progression by looking at longitudinal, pre-onset and longstanding T1D samples. UPN727 cells were stimulated with autologous plasma (n=7), unrelated healthy control plasma (n=44), recent onset T1D plasma (n=46), longstanding T1D plasma (n=11), or longitudinal series plasma (n=6 time points) from pre/post onset. Gene expression analysis was performed in order to evaluate the transcriptional signature associated with T1D.

2012-09-01 | E-GEOD-35725 | biostudies-arrayexpress

Molecular signatures differentiate immune states in Type 1 Diabetes families

2014-05-13 | GSE52724 | GEO

Transcriptional Signatures as a Disease-Specific and Predictive Inflammatory Biomarker for Type 1 Diabetes [T1D_114]

2012-09-01 | GSE35725 | GEO

Transcriptional Signatures as a Disease-Specific and Predictive Inflammatory Biomarker for Type 1 Diabetes [Pneu_S3S24_10Pneu_4HC]

2012-09-01 | GSE35716 | GEO

Transcriptional Signatures as a Disease-Specific and Predictive Inflammatory Biomarker for Type 1 Diabetes [Pneu_S3S24_10Pneu_4HC]

Project description:The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously, we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we compared the signature found between unrelated healthy controls and patients with bacterial pneumonia. UPN727 cells were stimulated with either plasma from unrelated healthy controls (n=18) or plasma from patients with bacterial pneumonia (n=10). Gene expression analysis was perfromed in order to evaluate the transcriptional signature associated with bacterial pneumonia.

2012-09-01 | E-GEOD-35716 | biostudies-arrayexpress

Transcriptional Signatures as a Disease-Specific and Predictive Inflammatory Biomarker for Type 1 Diabetes [CF_S1S3_5Auto_20CF_10HC]

2012-09-01 | GSE35711 | GEO

Identification of molecular signatures of cystic fibrosis disease status using plasma-based functional genomics

2019-01-01 | GSE71799 | GEO

Transcriptional Signatures as a Disease-Specific and Predictive Inflammatory Biomarker for Type 1 Diabetes [CF_S1S3_5Auto_20CF_10HC]

Project description:The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously, we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we compared the signature found between unrelated healthy controls and non-diabetic cystic fibrosis patients possessing Pseudomonas aeruginosa pulmonary tract infection. UPN727 cells were stimulated with autologous plasma (n=5), unrelated healthy control plasma (n=24), or plasma from patients with cystic fibrosis possessing Psuedomonas aeruginosa pulmonary tract infection (n=20). Gene expression analysis was perfromed in order to evaluate the transcriptional signature associated with cystic fibrosis.

2012-09-01 | E-GEOD-35711 | biostudies-arrayexpress

Molecular signatures differentiate immune states in Type 1 Diabetes families

Project description:The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously, we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we analyzed larger RO T1D, HC, and healthy T1D sibling cohorts. In addition, we examined T1D progression by looking at longitudinal samples. UPN727 cells were stimulated with Auto-antibody-negative (AA-) High HLA Risk Siblings plasma (n=30), Auto-antibody-negative (AA-) Low HLA Risk Siblings plasma (n=42), Recent onset T1DM plasma cultured with IL1RA (n=42), or longitudinal series plasma on T1DM progressor (n=27 chips, 5 series), on auto-antibody-positive (AA+) High HLA Risk Siblings (n=54 chips, 9 series), on auto-antibody-negative (AA-) High HLA Risk Siblings (n=60 chips, 12 series), on auto-antibody-negative (AA-) Low HLA Risk Siblings (n=31 chips, 6 series). Gene expression analysis was perfromed in order to evaluate the transcriptional signature associated with T1D.

2014-05-13 | E-GEOD-52724 | biostudies-arrayexpress

Transcriptional Signatures as a Disease-Specific and Predictive Inflammatory Biomarker for Type 1 Diabetes [H1N1_S5_5Pre_5D0]

2012-09-01 | GSE35712 | GEO