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accession-icon GSE84464
Genexpression Profiling of DLBCL derived from NLPHL
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Nodular lymphocyte predominant Hodgkin lymphoma (NLPHL) is an indolent lymphoma, but can transform into diffuse large B cell lymphoma (DLBCL), showing a more aggressive clinical behavior. Little is known about these cases on the molecular level. Therefore, the aim of the present study was to characterize DLBCL transformed from NLPHL (LP-DLBCL) by gene expression profiling (GEP). GEP revealed an inflammatory signature pinpointing to a specific host response. In a coculture model resembling this host response, DEV tumor cells showed an impaired growth behavior. Mechanisms involved in the reduced tumor cell proliferation included a downregulation of MYC and its target genes. Lack of MYC expression was also confirmed in 12/16 LP-DLBCL by immunohistochemistry. Furthermore, CD274/PD-L1 was upregulated in tumor cells after coculture with T cells or monocytes and its expression was validated in 12/19 cases of LP-DLBCL. Thereby, our data provide new insights into the pathogenesis of LP-DLBCL and a concrete explanation of the relatively low tumor cell content. Moreover, our results suggest that treatment of these patients with checkpoint inhibitors may enhance an already ongoing host response in these patients.

Publication Title

A strong host response and lack of MYC expression are characteristic for diffuse large B cell lymphoma transformed from nodular lymphocyte predominant Hodgkin lymphoma.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE84688
Gene expression profiling of the NLPHL cell line DEV after coculture with T cells and monocytes
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Nodular lymphocyte predominant Hodgkin lymphoma (NLPHL) is an indolent lymphoma, but can transform into diffuse large B cell lymphoma (DLBCL), showing a more aggressive clinical behavior. Little is known about these cases on the molecular level. Therefore, the aim of the present study was to characterize DLBCL transformed from NLPHL

Publication Title

A strong host response and lack of MYC expression are characteristic for diffuse large B cell lymphoma transformed from nodular lymphocyte predominant Hodgkin lymphoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE38602
Transcriptional response to tetanus vaccination in porcine PBMCs
  • organism-icon Sus scrofa
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Three groups of German Landrace piglets were vaccinated with tetanus toxoid. Transcriptome profiles of PBMC were analysed from blood samples taken 0, 2, 4, 8, 24 and 75 hours after a first vaccination and 0, 2, 4, 8, 24 and 75 hours as well as 14 d after a second vaccination on day 14.

Publication Title

Transcriptomic response of porcine PBMCs to vaccination with tetanus toxoid as a model antigen.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP017575
Two New Stromal Signatures Stratify Breast Cancers with Different Prognosis
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Purpose: Multiple studies from last decades have shown that the microenvironment of carcinomas plays an important role in the initiation, progression and metastasis of cancer. Our group has previously identified novel cancer stroma gene expression signatures associated with outcome differences in breast cancer by gene expression profiling of two tumors of fibroblasts as surrogates for physiologic stromal expression patterns. The aim of this study is to find additional new types of tumor stroma gene expression patterns. Results: 53 tumors were sequenced by 3SEQ with an average of 29 million reads per sample. Both the elastofibroma (EF) and fibroma of tendon sheath (FOTS) gene signatures demonstrated robust outcome results for survival in the four breast cancer datasets. The EF signature positive breast cancers (20-33% of the cohort) demonstrated significantly better outcome for survival. In contrast, the FOTS signature positive breast cancers (11-35% of the cohort) had a worse outcome. The combined stromal signatures of EF, FOTS, and our previously identified DTF, and CSF1 signatures characterize, in part, the stromal expression profile for the tumor microenvironment for between 74%-90% of all breast cancers. Conclusions: We defined and validated two new stromal signatures in breast cancer (EF and FOTS), which are significantly associated with prognosis. Overall design: Gene expression profiling by 3SEQ was performed on 8 additional types of fibrous tumors, to identify different fibrous tumor specific gene expression signatures. We then determined the significance of the fibrous tumor gene signatures in four publically available breast cancer datasets (GSE1456, GSE4922, GSE3494, NKI Dataset).

Publication Title

Next generation sequencing-based expression profiling identifies signatures from benign stromal proliferations that define stromal components of breast cancer.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP023262
A shared transcriptional program in early breast neoplasias despite genetic and clinical distinctions
  • organism-icon Homo sapiens
  • sample-icon 80 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

The earliest recognizable stages of breast neoplasia are lesions that represent a heterogeneous collection of epithelial proliferations currently classified based on morphology. Their role in the development of breast cancer is not well understood but insight into the critical events at this early stage will improve efforts in breast cancer detection and prevention. These microscopic lesions are technically difficult to study so very little is known about their molecular alterations. To characterize the transcriptional changes of early breast neoplasia, we sequenced 3''- end enriched RNAseq libraries from formalin-fixed paraffin-embedded tissue of early neoplasia samples and matched normal breast and carcinoma samples from 25 patients. We find that gene expression patterns within early neoplasias are distinct from both normal and breast cancer patterns and identify a pattern of pro-oncogenic changes, including elevated transcription of ERBB2, FOXA1, and GATA3 at this early stage. We validate these findings on a second independent gene expression profile data set generated by whole transcriptome sequencing. Measurements of protein expression by immunohistochemistry on an independent set of early neoplasias confirms that ER pathway regulators FOXA1 and GATA3, as well as ER itself, are consistently upregulated at this early stage. The early neoplasia samples also demonstrate coordinated changes in long non-coding RNA expression and microenvironment stromal gene expression patterns. This study is the first examination of global gene expression in early breast neoplasia, and the genes identified here represent candidate participants in the earliest molecular events in the development of breast cancer. Overall design: 3SEQ was performed on 72 FFPE human breast samples from 25 patients: 24 normal, 25 early neoplasia, 9 carcinoma in situ, and 14 invasive cancer

Publication Title

A shared transcriptional program in early breast neoplasias despite genetic and clinical distinctions.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE12211
Gene expression of CML CD34+ cells during Imatinib therapy
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Imatinib has become the current standard therapy for patients with chronic myelogenous leukaemia (CML). For a better understanding of the Imatinib-related molecular effects in vivo, we assessed gene expression profiles of Philadelphia Chromosome positive (Ph+) CD34+ cells from peripheral blood of 6 patients with de novo CML in chronic phase. After 7 days of treatment with Imatinib the Ph+ CD34+ cells were reassessed to look for changes in the transcriptome. The expression level of 303 genes was significantly different comparing the transcriptome of the Ph+ CD34+ cells before and after 7 days of Imatinib therapy (183 down-regulated, 120 up-regulated, lower bound 1.2-fold). For a substantial number of genes governing cell cycle and DNA replication, the level of expression significantly decreased (CDC2, RRM2, PCNA, MCM4). On the other hand, therapy with Imatinib was associated with an increase of genes related to adhesive interactions, such as L-selectin or CD44. A group of 8 genes with differential expression levels were confirmed using a gene specific quantitative real-time PCR. Thus, during the first week of treatment, Imatinib is preferentially counteracting the bcr-abl induced effects related to a disturbed cell cycle and defective adhesion of leukemic Ph+ CD34+ cells.

Publication Title

Early in vivo changes of the transcriptome in Philadelphia chromosome-positive CD34+ cells from patients with chronic myelogenous leukaemia following imatinib therapy.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE21324
Gene expression profiles of the diabetic glomerular endothelial cell
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The objective of this study is to create an encyclopedia of all genes expressed in the glomerular endothelial cell under normal and diabetic conditions. We utilized Tie2-GFP transgenic mice to mark cells of the glomerular endothelium. To induce diabetic nephropathy (DB), a genetic model of DB, BKS.Cg-m +/+ Leprdb/J from Jax laboratories was used. We utilized fluorescent activated cell sorting (FACS) to isolate glomerular endothelial cells from normal and diabetic mice. The RNAs from these samples were isolated and utilized to hybridize to microarrays, which offers a powerful, efficient and effective method for the creation of a gene expression atlas.

Publication Title

Gene expression programs of mouse endothelial cells in kidney development and disease.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE20004
Gene expression profiles of adult renal medullary endothelial cells isolated from TIE2-GFP transgenic mice using FACS. (GUDMAP Series ID: 35)
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The long term objective is to create an encyclopedia of the expression levels of all genes in multiple components of the developing kidney. The central thesis is straightforward. The combination of fluorescent activated cell sorting (FACS) plus microarray analysis offers a powerful, efficient and effective method for the creation of a global gene expression atlas of the developing kidney. Microarrays with essentially complete genome coverage can be used to quantitate expression levels of every gene in FACS isolated components of the developing kidney. The ensuing rapid read-out provides an expression atlas that is more sensitive, more economical and more complete than would be possible by in situ hybridizations alone.

Publication Title

Gene expression programs of mouse endothelial cells in kidney development and disease.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE20991
Gene expression profiles of E15.5 endothelial cells isolated from TIE2-GFP transgenic mice using FACS. (GUDMAP Series ID:38)
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The long term objective is to create an encyclopedia of the expression levels of all genes in multiple components of the developing kidney. The central thesis is straightforward. The combination of fluorescent activated cell sorting (FACS) plus microarray analysis offers a powerful, efficient and effective method for the creation of a global gene expression atlas of the developing kidney. Microarrays with essentially complete genome coverage can be used to quantitate expression levels of every gene in FACS isolated components of the developing kidney. The ensuing rapid read-out provides an expression atlas that is more sensitive, more economical and more complete than would be possible by in situ hybridizations alone.

Publication Title

Gene expression programs of mouse endothelial cells in kidney development and disease.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE22464
Gene expression profiles of adult renal cortical endothelial cells isolated from TIE2-GFP transgenic mice using FACS. (GUDMAP Series ID: 41)
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The long term objective is to create an encyclopedia of the expression levels of all genes in multiple components of the developing kidney. The central thesis is straightforward. The combination of fluorescent activated cell sorting (FACS) plus microarray analysis offers a powerful, efficient and effective method for the creation of a global gene expression atlas of the developing kidney. Microarrays with essentially complete genome coverage can be used to quantitate expression levels of every gene in FACS isolated components of the developing kidney. The ensuing rapid read-out provides an expression atlas that is more sensitive, more economical and more complete than would be possible by in situ hybridizations alone.

Publication Title

Gene expression programs of mouse endothelial cells in kidney development and disease.

Sample Metadata Fields

Sex

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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Developed by the Childhood Cancer Data Lab

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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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