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accession-icon GSE11336
Glucocorticoid-regulated microRNAs and mirtrons in acute lymphoblastic leukemia
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Glucocorticoids (GC) have a major impact on the biology of normal and malignant cells of the lymphoid lineage. This includes induction of apoptosis which is exploited in the therapy of acute lymphoblastic leukemia (ALL) and related lymphoid malignancies. MicroRNAs (miRNAs) and the related mirtrons are ~22 nucleotide RNA molecules implicated in the control of essential biological functions including proliferation, differentiation and apoptosis. They derive from polymerase-II transcripts but whether GCs regulate miRNA-encoding transcription units is not known. We investigated miRNA/mirtron expression and GC regulation in 8 ALL in vitro models and 13 ALL children undergoing systemic GC monotherapy using a combination of expression profiling techniques, real time RT-PCR and northern blotting to detect mature miRNAs and/or their precursors. We identified a number of GC-regulated miRNAs/mirtrons, including the myeloid-specific miR-223 and the apoptosis and cell cycle arrest-inducing mir15~16 cluster. Thus, the observed complex changes in miRNA/mirtron expression during GC treatment might contribute to the anti-leukemic GC effects in a cell context dependent manner.

Publication Title

Glucocorticoid-regulated microRNAs and mirtrons in acute lymphoblastic leukemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE8421
Gene Expression Profile in Rat Adrenal Zona Glomerulosa Cells Stimulated with Aldosterone Secretagogues
  • organism-icon Rattus norvegicus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The mineralocorticoid aldosterone mainly produced by the adrenal gland is essential for life but an abnormal excessive secretion causes severe pathological effects including hypertension and target organ injury in the heart and kidney. The aim of this study was to determine the gene regulatory network triggered by aldosterone secretagogues in a non transformed cell system. Freshly isolated rat adrenal zona glomerulosa cells were stimulated with the two main aldosterone secretagogues, angiotensin II and potassium, for two hours and subjected to whole genome expression studies using multiple biological and bioinformatics tools. Several genes were differentially expressed by Ang II (n=133) or potassium (n=216). Genes belonging to the nucleic acid binding and transcription factor activity categories were significantly enriched. A subset of the most regulated genes were confirmed by real-time RT-PCR and then their expression analyzed in time curve studies. Differentially expressed genes were grouped according to their time-response expression pattern and their promoter regions analyzed for common regulatory transcription factors binding sites. Finally, data mining with gene promoters, transcription factors and literature databases were performed to generate gene interaction networks for either Ang II or potassium. This study provides for the first time a complete study of the genes that are regulated, and the interaction between them, by aldosterone secretagogues in rat adrenal cells. Increasing our knowledge of adrenal physiology and gene regulation in non transformed cell systems would lead us to a better approach for discovery of candidate genes involved pathological conditions of the adrenal cortex.

Publication Title

Gene expression profile in rat adrenal zona glomerulosa cells stimulated with aldosterone secretagogues.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE22152
Gene expression data of glucocorticoid resistant and sensitive acute lymphoblastic leukemia cell lines
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression data of glucocorticoid resistant and sensitive acute lymphoblastic leukemia cell lines for the article: Expression, regulation and function of phosphofructo-kinase/fructose-biphosphatases (PFKFBs) in glucocorticoid-induced apoptosis of acute lymphoblastic leukemia cells

Publication Title

Expression, regulation and function of phosphofructo-kinase/fructose-biphosphatases (PFKFBs) in glucocorticoid-induced apoptosis of acute lymphoblastic leukemia cells.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE22779
Gene expression data of non-leukemic individuals before and during in-vivo glucocorticoid treatment
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Article title: Expression, regulation and function of phosphofructo-kinase/fructose-biphosphatases (PFKFBs) in glucocorticoid-induced apoptosis of acute lymphoblastic leukemia cells.

Publication Title

Expression, regulation and function of phosphofructo-kinase/fructose-biphosphatases (PFKFBs) in glucocorticoid-induced apoptosis of acute lymphoblastic leukemia cells.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment, Subject

View Samples
accession-icon GSE3494
An expression signature for p53 in breast cancer predicts mutation status, transcriptional effects, and patient survival
  • organism-icon Homo sapiens
  • sample-icon 501 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The biological tumor samples (ie, breast tumor specimens) consisted of freshly frozen breast tumors from a population-based cohort of 315 women representing 65% of all breast cancers resected in Uppsala County, Sweden, from January 1, 1987 to December 31, 1989. Estrogen receptor status was determined by biochemical assay as part of the routine clinical procedure. An experienced pathologist determined the Elston-Ellis grades of the tumors, classifying the tumors into low, medium and high-grade tumors. The clinico-pathological characteristics accompanying each tumor include p53 status, ER status, tumor grade, lymph node status and patient age.

Publication Title

An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP166966
A single-nucleus RNA-sequencing pipeline to decipher the molecular anatomy and pathophysiology of human kidneys
  • organism-icon Homo sapiens
  • sample-icon 91 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Defining cellular and molecular identities within the kidney is necessary to understand its organization and function in health and disease. Here we demonstrate a reproducible method with minimal artifacts for single-nucleus Droplet-based RNA sequencing (snDrop-Seq) that we use to resolve thirty distinct cell populations in human adult kidney. We define molecular transition states along more than ten nephron segments spanning two major kidney regions. We further delineate cell type-specific expression of genes associated with chronic kidney disease, diabetes and hypertension, providing insight into possible targeted therapies. This includes expression of a hypertension-associated mechano-sensory ion channel in mesangial cells, and identification of proximal tubule cell populations defined by pathogenic expression signatures. Our fully optimized, quality-controlled transcriptomic profiling pipeline constitutes a tool for the generation of healthy and diseased molecular atlases applicable to clinical samples. Overall design: Single-nucleus (sn)Drop-seq was used to generate RNA expression estimates across two kidney regions (cortex and medulla), 15 different individuals, 7 different tissue processing methods, and from tissues acquired from two different institutions (Washington University and University of Michigan through KPMP consortium). From the resulting ~18,000 sequenced nuclei passing QC filtering (>400 <5000 non-MT genes detected, >50 post-QC nuclei per library, >30 nuclei per cluster), we identified 30 different cell populations (see supplementary file UCSD-WU_Single_Nuclei_Cluster_Annotations.csv).

Publication Title

A single-nucleus RNA-sequencing pipeline to decipher the molecular anatomy and pathophysiology of human kidneys.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE2842
Additional systems to Prednisolone treated childhood ALL samples
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Glucocorticoids (GC) are in most chemotherapy protocols for lymphoid malignancies, particularly childhood acute lymphoblastic leukaemia (ALL) for their ability to induce apoptosis in malignant blast. The underlying mechanism, however, has so far only been investigated in model systems. This study comprises Affymetrix hgu133 plus 2.0 analyses of

Publication Title

Identification of glucocorticoid-response genes in children with acute lymphoblastic leukemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE2677
Prednisolone treated childhood ALL samples
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Glucocorticoids (GC) are in most chemotherapy protocols for lymphoid malignancies, particularly childhood acute lymphoblastic leukaemia (ALL) for their ability to induce apoptosis in malignant blast. The underlying mechanism, however, has so far only been investigated in model systems. This study comprises Affymetrix hgu133 plus 2.0 analyses of

Publication Title

Identification of glucocorticoid-response genes in children with acute lymphoblastic leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE2843
thymic mouse cells
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Glucocorticoids (GC) are in most chemotherapy protocols for lymphoid malignancies, particularly childhood acute lymphoblastic leukaemia (ALL) for their ability to induce apoptosis in malignant blast. The underlying mechanism, however, has so far only been investigated in model systems. This study comprises Affymetrix hgu133 plus 2.0 analyses of

Publication Title

Identification of glucocorticoid-response genes in children with acute lymphoblastic leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE28607
Targeted gene correction of LMNA mutations in patient-specific iPSCs
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Gene expression from iPSCs before and after gene correction

Publication Title

Targeted gene correction of laminopathy-associated LMNA mutations in patient-specific iPSCs.

Sample Metadata Fields

Specimen part

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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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