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Links from GEO DataSets

Items: 8

1.

A network-based framework to discover treatment-response-predicting biomarkers for complex diseases

(Submitter supplied) Precision medicine's potential to transform complex autoimmune-disease treatment is often challenged by limited data availability and inadequate sample size when compared to the number of molecular features found in high-throughput multi-omics datasets. Addressing this issue, the novel framework PRoBeNet (Predictive Response Biomarkers using Network medicine) was developed. ProBeNet operates under the hypothesis that the therapeutic effect of a drug propagates through a protein–protein interaction network to reverse disease states. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
12 Samples
Download data: CSV
Series
Accession:
GSE261205
ID:
200261205
2.

A validated single-cell-based strategy to identify diagnostic and therapeutic targets in complex diseases

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL25864
204 Samples
Download data: TXT
Series
Accession:
GSE123088
ID:
200123088
3.

A validated single-cell-based strategy to identify diagnostic and therapeutic targets in complex diseases [breast cancer validation cohort]

(Submitter supplied) Breast cancer validation study of CD4+ T cells in an independent group of 24 patients (median age [range], 61.5 [35–88] years) was recruited, based on the same inclusion criteria. All recruited patients were women. Additionally, 14 independent healthy controls were profiled.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL25864
38 Samples
Download data: TXT
Series
Accession:
GSE123087
ID:
200123087
4.

A validated single-cell-based strategy to identify diagnostic and therapeutic targets in complex diseases [study of 13 diseases]

(Submitter supplied) We conducted prospective clinical studies to validate the importance of CD4+ T cells in 13 diseases from the following ICD-10-CM chapters: Neoplasms (breast cancer, chronic lymphocytic leukemia); endocrine, nutritional and metabolic diseases (type I diabetes, obesity); diseases of the circulatory system (atherosclerosis); diseases of the respiratory system (acute tonsillitis, influenza, seasonal allergic rhinitis, asthma); diseases of the digestive system (Crohn’s disease [CD], ulcerative colitis [UC]); and diseases of the skin and subcutaneous tissue (atopic eczema, psoriatic diseases). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL25864
166 Samples
Download data: TXT
Series
Accession:
GSE123086
ID:
200123086
5.

Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Methylation profiling by genome tiling array
Platforms:
GPL20301 GPL21145
286 Samples
Download data: IDAT, TXT
Series
Accession:
GSE191331
ID:
200191331
6.

Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease [RNA-Seq]

(Submitter supplied) We investigated the dynamics of gene expression in blood samples of IBD patients treated with infliximab and vedolizumab and analyzed the predictive potential regarding therapy outcome.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20301
201 Samples
Download data: TXT
Series
Accession:
GSE191328
ID:
200191328
7.

Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease [methylation]

(Submitter supplied) We investigated the dynamics of DNA methylation in blood samples of IBD patients treated with infliximab and analyzed the predictive potential regarding therapy outcome.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL21145
85 Samples
Download data: IDAT
Series
Accession:
GSE191297
ID:
200191297
8.

Identification of baseline gene expression signatures predicting therapeutic responses to three biologic agents in rheumatoid arthritis: a retrospective observational study

(Submitter supplied) The aim of this study was to identify the specific molecular biological features predicting the therapeutic outcomes of three bDMARDs, infliximab (IFX), tocilizumab (TCZ), and abatacept (ABT) by studying blood gene expression signature of patients prior to biologic treatment in a unified test platform. GSEA analyses showed that inflammasome genes were significantly upregulated in IFX’s NON-REM compared with its REM. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6480
209 Samples
Download data: TXT
Series
Accession:
GSE78068
ID:
200078068
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Supplemental Content

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