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accession-icon GSE88884
Gene expression changes in baseline SLE patients vs. healthy controls from two phase III trials (ILLUMINATE-1 and ILLUMINATE-2) of B cell activating factor blockade with tabalumab
  • organism-icon Homo sapiens
  • sample-icon 1820 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Objective: Systemic lupus erythematosus (SLE) has substantial unmet medical need and its pathogenesis is incompletely understood. This study characterized baseline gene expression and pharmacodynamic (PD)-induced changes in whole blood gene expression from two phase III, 52-week (W), randomized, placebo-controlled, double-blind studies of 1,760 SLE patients treated with the B cell activating factor (BAFF)-blocking IgG4 monoclonal antibody, tabalumab. Methods: Patient samples were obtained from ILLUMINATE-1 and -2 while control samples were from healthy donors. Blood was collected in TempusTM tubes at baseline, W16 and W52. RNA was analyzed using the Affymetrix Human Transcriptome Array 2.0 and NanoStringTM. Results: At baseline there was elevation of interferon responsive genes (IRG) in patients compared to controls, with 75% positive for this IRG signature. There was, however, substantial heterogeneity of IRG expression and complex relationships among gene networks. The interferon signature was a predictor of future time to flare, independent of anti-double stranded DNA antibody (dsDNA), C3 and C4 levels, and overall disease activity. PD changes in gene expression following tabalumab treatment were extensive, occurring predominantly in B cell-related and immunoglobulin (Ig) genes, and were consistent with other PD-induced changes including dsDNA, C3, and Ig levels. Conclusions: SLE patients demonstrated elevated expression of an IRG signature, detected in 75% of the patients at baseline in ILLUMINATE-1 and -2. There was substantial heterogeneity of gene expression detected among individual patients and in gene networks. The interferon signature was an independent risk factor for future flares. PD changes in gene expression were consistent with the mechanism of BAFF blockade by tabalumab.

Publication Title

Gene Expression and Pharmacodynamic Changes in 1,760 Systemic Lupus Erythematosus Patients From Two Phase III Trials of BAFF Blockade With Tabalumab.

Sample Metadata Fields

Sex, Specimen part, Race, Subject, Time

View Samples
accession-icon GSE88887
Gene expression and pharmacodynamic-induced changes in 1760 SLE Patients from two phase III trials of B cell activating factor blockade with tabalumab
  • organism-icon Homo sapiens
  • sample-icon 1190 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Gene Expression and Pharmacodynamic Changes in 1,760 Systemic Lupus Erythematosus Patients From Two Phase III Trials of BAFF Blockade With Tabalumab.

Sample Metadata Fields

Sex, Specimen part, Race, Subject, Time

View Samples
accession-icon GSE88885
Pharmacodynamic-induced changes in SLE Patients from the ILLUMINATE-1 phase III trial of B cell activating factor blockade with tabalumab
  • organism-icon Homo sapiens
  • sample-icon 816 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Objective: Systemic lupus erythematosus (SLE) has substantial unmet medical need and its pathogenesis is incompletely understood. This study characterized baseline gene expression and pharmacodynamic (PD)-induced changes in whole blood gene expression from two phase III, 52-week (W), randomized, placebo-controlled, double-blind studies of 1,760 SLE patients treated with the B cell activating factor (BAFF)-blocking IgG4 monoclonal antibody, tabalumab. Methods: Patient samples were obtained from ILLUMINATE-1 and -2 while control samples were from healthy donors. Blood was collected in TempusTM tubes at baseline, W16 and W52. RNA was analyzed using the Affymetrix Human Transcriptome Array 2.0 and NanoStringTM. Results: At baseline there was elevation of interferon responsive genes (IRG) in patients compared to controls, with 75% positive for this IRG signature. There was, however, substantial heterogeneity of IRG expression and complex relationships among gene networks. The interferon signature was a predictor of future time to flare, independent of anti-double stranded DNA antibody (dsDNA), C3 and C4 levels, and overall disease activity. PD changes in gene expression following tabalumab treatment were extensive, occurring predominantly in B cell-related and immunoglobulin (Ig) genes, and were consistent with other PD-induced changes including dsDNA, C3, and Ig levels. Conclusions: SLE patients demonstrated elevated expression of an IRG signature, detected in 75% of the patients at baseline in ILLUMINATE-1 and -2. There was substantial heterogeneity of gene expression detected among individual patients and in gene networks. The interferon signature was an independent risk factor for future flares. PD changes in gene expression were consistent with the mechanism of BAFF blockade by tabalumab.

Publication Title

Gene Expression and Pharmacodynamic Changes in 1,760 Systemic Lupus Erythematosus Patients From Two Phase III Trials of BAFF Blockade With Tabalumab.

Sample Metadata Fields

Sex, Specimen part, Race, Subject, Time

View Samples
accession-icon GSE88886
Pharmacodynamic-induced changes in SLE Patients from the ILLUMINATE-2 phase III trial of B cell activating factor blockade with tabalumab
  • organism-icon Homo sapiens
  • sample-icon 414 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Objective: Systemic lupus erythematosus (SLE) has substantial unmet medical need and its pathogenesis is incompletely understood. This study characterized baseline gene expression and pharmacodynamic (PD)-induced changes in whole blood gene expression from two phase III, 52-week (W), randomized, placebo-controlled, double-blind studies of 1,760 SLE patients treated with the B cell activating factor (BAFF)-blocking IgG4 monoclonal antibody, tabalumab. Methods: Patient samples were obtained from ILLUMINATE-1 and -2 while control samples were from healthy donors. Blood was collected in TempusTM tubes at baseline, W16 and W52. RNA was analyzed using the Affymetrix Human Transcriptome Array 2.0 and NanoStringTM. Results: At baseline there was elevation of interferon responsive genes (IRG) in patients compared to controls, with 75% positive for this IRG signature. There was, however, substantial heterogeneity of IRG expression and complex relationships among gene networks. The interferon signature was a predictor of future time to flare, independent of anti-double stranded DNA antibody (dsDNA), C3 and C4 levels, and overall disease activity. PD changes in gene expression following tabalumab treatment were extensive, occurring predominantly in B cell-related and immunoglobulin (Ig) genes, and were consistent with other PD-induced changes including dsDNA, C3, and Ig levels. Conclusions: SLE patients demonstrated elevated expression of an IRG signature, detected in 75% of the patients at baseline in ILLUMINATE-1 and -2. There was substantial heterogeneity of gene expression detected among individual patients and in gene networks. The interferon signature was an independent risk factor for future flares. PD changes in gene expression were consistent with the mechanism of BAFF blockade by tabalumab.

Publication Title

Gene Expression and Pharmacodynamic Changes in 1,760 Systemic Lupus Erythematosus Patients From Two Phase III Trials of BAFF Blockade With Tabalumab.

Sample Metadata Fields

Sex, Specimen part, Race, Subject, Time

View Samples
accession-icon GSE61635
Gene expression in RNP autoantibody+ systemic lupus erythematosus (SLE) patient blood
  • organism-icon Homo sapiens
  • sample-icon 125 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The goal of this study was to characterize gene expression profiles in RNP autoantibody+ SLE versus healthy blood donors with a focus on select cytokines that may be important in B cell activation and differentiation, including BAFF, IL-21, and IL-33. We utilized Affymetrix microarrays to characterize the global program of gene expression in the SLE patients, and to identify differentially expressed genes in patients compared to healthy controls. We examined a cohort of 79 consecutive patients classified as anti-ribonuclear protein (anti-RNP)+ systemic lupus erythematosus (SLE). All patients provided RNA samples obtained after providing informed consent. There were 73 female and 6 male subjects. Disease duration ranged from 0 to 453 months with a median of 37.5 months. SLE Disease Activity Index (SLEDAI) ranged from 0 to 31 with a median of 6.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE28422
Effects of resistance exercise and resistance training on the skeletal muscle transcriptome in young and old adults
  • organism-icon Homo sapiens
  • sample-icon 109 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Global microarray (HG U133 Plus 2.0) was used to investigate the effects of resistance exercise and resistance training on the skeletal muscle transcriptome profile of 28 young and old adults. Vastus lateralis muscle biopsies were obtained pre and 4hrs post resistance exercise in the beginning (untrained state) and at the end (trained state) of a 12 wk progressive resistance training program.

Publication Title

Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults.

Sample Metadata Fields

Sex, Specimen part, Time

View Samples
accession-icon GSE76630
Stromal-Based Signatures for the Classification of Gastric Cancer
  • organism-icon Mus musculus
  • sample-icon 98 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Stromal-Based Signatures for the Classification of Gastric Cancer.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE76628
Stromal-Based Signatures for the Classification of Gastric Cancer [part II]
  • organism-icon Mus musculus
  • sample-icon 78 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Increasing success is being achieved in the treatment of malignancies with stromal-targeted therapies, predominantly in anti-angiogenesis and immunotherapy, predominantly checkpoint inhibitors. Despite 15 years of clinical trials with anti-VEGF pathway inhibitors for cancer, we still find ourselves lacking reliable predictive biomarkers to select patients for anti-angiogenesis therapy. For the more recent immunotherapy agents, there are many approaches for patient selection under investigation. Notably, the predictive power of an Ad-VEGF-A164 mouse model to drive a stromal response with similarities to a wound healing response shows relevance for human cancer and was used to generate stromal signatures. We have developed gene signatures for 3 stromal states and leveraged the data from multiple large cohort bioinformatics studies of gastric cancer (TCGA, ACRG) to further understand how these relate to the dominant patient phenotypes identified by previous bioinformatics efforts. We have also designed multiplexed IHC assays that robustly represent the vascular and immune diversity in gastric cancer. Finally, we have used this methodology to arrive at a hypothesis of how angiogenesis and immunotherapy may fit into the experimental approaches for gastric cancer treatments.

Publication Title

Stromal-Based Signatures for the Classification of Gastric Cancer.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE28392
Effects of resistance exercise on the transcriptome in MHC I and MHC IIa muscle fibers of young and old women
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Global microarray (HG U133 Plus 2.0) was used for the first time to investigate the effects of resistance exercise on the transcriptome in slow-twitch myosin heavy chain (MHC) I and fast-twitch MHC IIa muscle fibers of young and old women. Vastus lateralis muscle biopsies were obtained pre and 4hrs post resistance exercise in the beginning (untrained state) and at the end (trained state) of a 12 wk progressive resistance training program.

Publication Title

Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults.

Sample Metadata Fields

Sex, Specimen part, Subject, Time

View Samples
accession-icon GSE25941
Effects of age on the skeletal muscle transcriptome
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Global microarray (HG U133 Plus 2.0) was used to investigate the basal level skeletal muscle transcriptome profile of young and old adults. One vastus lateralis muscle biopsy was obtained in the basal state from 36 different subjects.

Publication Title

Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults.

Sample Metadata Fields

Sex, Specimen part

View Samples
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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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