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accession-icon GSE29670
Polymicrobial periodontal pathogens transcriptomes in calvarial bone and soft tissue
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The objectives of this investigation were to examine changes in the host transcriptional profiles during a polymicrobial periodontal pathogens Porphyromonas gingivalis, Treponema denticola, and Tannerella forsythia infection using a murine calvarial model of inflammation and bone resorption. P. gingivalis FDC 381, T. denticola ATCC 35404, and T. forsythia ATCC 43037 was injected into the subcutaneous soft tissue over the calvaria of BALB/c mice for 3 days, after which the soft tissues and calvarial bones were excised. RNA was isolated from infected soft tissues and calvarial bones and analyzed for transcript profiles using Murine GeneChip MG-MOE430A Affymetrix arrays to provide a molecular profile of the events that occur following infection of these tissues.

Publication Title

Polymicrobial periodontal pathogen transcriptomes in calvarial bone and soft tissue.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE20389
Molecular Characterization of Tannerella forsythia infection-induced bone and soft tissue transcriptional profiles
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The objectives of this investigation were to examine changes in the host transcriptional profiles during a Tannerella forsythia infection using a murine calvarial model of inflammation and bone resorption. T. forsythia ATCC 43037 was injected into the subcutaneous soft tissue over the calvaria of BALB/c mice for 3 days, after which the soft tissues and calvarial bones were excised. RNA was isolated from infected soft tissues and calvarial bones and analyzed for transcript profiles using Murine GeneChip MG-MOE430A Affymetrix arrays to provide a molecular profile of the events that occur following infection of these tissues.

Publication Title

Tannerella forsythia infection-induced calvarial bone and soft tissue transcriptional profiles.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE17110
Gene expression data from P. gingivalis infected Mouse
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The objectives of this investigation were to examine changes in the host transcriptional profiles during a Porphyromonas gingivalis infection using a murine calvarial model of inflammation and bone resorption. P. gingivalis strain 381 was injected into the subcutaneous soft tissue over the calvaria of BALB/c mice for 3 days, after which the soft tissues and calvarial bones were excised. RNA was isolated from infected soft tissues and calvarial bones and analyzed for transcript profiles using Murine GeneChip MG-MOE430A Affymetrix arrays to provide a molecular profile of the events that occur following infection of these tissues.

Publication Title

Porphyromonas gingivalis infection-induced tissue and bone transcriptional profiles.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE19855
Molecular Characterization of Treponema denticola infection-induced bone and soft tissue transcriptional profiles
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The objectives of this investigation were to examine changes in the host transcriptional profiles during a Treponema denticola infection using a murine calvarial model of inflammation and bone resorption. T. denticola ATCC 35404 was injected into the subcutaneous soft tissue over the calvaria of BALB/c mice for 3 days, after which the soft tissues and calvarial bones were excised. RNA was isolated from infected soft tissues and calvarial bones and analyzed for transcript profiles using Murine GeneChip MG-MOE430A Affymetrix arrays to provide a molecular profile of the events that occur following infection of these tissues.

Publication Title

Molecular characterization of Treponema denticola infection-induced bone and soft tissue transcriptional profiles.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon SRP072176
Ridaforolimus (MK-8669) synergizes with Dalotuzumab (MK-0646) in hormone-sensitive breast cancer
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Introduction: Mammalian target of rapamycin (mTOR) represents a key downstream intermediate for a myriad of oncogenic receptor tyrosine kinases. In the case of the insulin-like growth factor (IGF) pathway, the mTOR complex (mTORC1) mediates IGF-1 receptor (IGF-1R)-induced estrogen receptor alpha (ERa) phosphorylation/activation and leads to increased proliferation and growth in breast cancer cells. As a result, the prevalence of mTOR inhibitors combined with hormonal therapy has increased in recent years. Conversely, activated mTORC1 provides negative feedback regulation of IGF signaling via insulin receptor substrate (IRS)-1/2 serine phosphorylation and subsequent proteasomal degradation. Thus, the IGF pathway may provide escape (e.g. de novo or acquired resistance) from mTORC1 inhibitors. It is therefore plausible that combined inhibition of mTORC1 and IGF-1R for select subsets of ER-positive breast cancer patients presents as a viable therapeutic option. Methods: Using hormone-sensitive breast cancer cells stably transfected with the aromatase gene (MCF-7/AC-1), works presented herein describe the in vitro and in vivo antitumor efficacy of the following compounds: dalotuzumab (DALO; “MK-0646”; anti-IGF-1R antibody), ridaforolimus (RIDA; “MK-8669”; mTORC1 small molecule inhibitor) and letrozole (“LET”, aromatase inhibitor). Results: With the exception of MK-0646, all single agent and combination treatment arms effectively inhibited xenograft tumor growth, albeit to varying degrees. Correlative tissue analyses revealed MK-0646 alone and in combination with LET induced insulin receptor alpha A (InsR-A) isoform upregulation (both mRNA and protein expression), thereby further supporting a triple therapy approach. Conclusion: These data provide preclinical rationalization towards the combined triple therapy of LET plus MK-0646 plus MK-8669 as an efficacious anti-tumor strategy for ER-positive breast tumors. Overall design: 46 samples, 28 days post treatment

Publication Title

Ridaforolimus (MK-8669) synergizes with Dalotuzumab (MK-0646) in hormone-sensitive breast cancer.

Sample Metadata Fields

Cell line, Treatment, Subject, Time

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accession-icon GSE42346
Expression data from murine bone marrow erythroid progenitor cells at two early stages of development.
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This study was designed to define erythropoietin (EPO) regulated genes in murine bone marrow erythroid progenitor cells at two stages of development, designated E1, and E2. E1 cells correspond to CFUe- like progenitors, while E2 cells are proerythroblasts.

Publication Title

Defining an EPOR- regulated transcriptome for primary progenitors, including Tnfr-sf13c as a novel mediator of EPO- dependent erythroblast formation.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon SRP136266
Integrating the Epigenome to Identify Novel Drivers of Hepatocellular Carcinoma
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon

Description

Gene expression, histone modification, DNA methylation, and DNA hydroxymethylation from normal, cirrhotic, and HCC livers Overall design: 10 total samples (2 normal, 4 cirrhosis, 4 HCC). Cirrhosis and HCC are from the same four patients.

Publication Title

Integrating the Epigenome to Identify Drivers of Hepatocellular Carcinoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP066352
A Small RNA-Catalytic Argonaute Pathway Tunes Germline Transcript Levels to Ensure Embryonic Divisions
  • organism-icon Caenorhabditis elegans
  • sample-icon 65 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Multiple division cycles without growth are a characteristic feature of early embryogenesis. The female germline deposits proteins and RNAs into oocytes to support these divisions, which lack many of the quality control mechanisms operating in somatic cells undergoing growth. How the composition of the oocyte maternal load is regulated to ensure its ability to support early embryogenesis is not known. Here we describe a small RNA-Argonaute pathway, operating in the C. elegans germline, that ensures early embryonic divisions by employing catalytic slicing activity to broadly tune, instead of silence, germline gene expression. Misregulation of one target, a kinesin-13 microtubule depolymerase, underlies a major embryonic phenotype associated with pathway loss. Tuning of target expression is guided by small RNA density, which must ultimately be related to target sequence. Thus, C. elegans employs a single catalytic Argonaute for small RNA-mediated tuning of the mRNA levels of germline-expressed genes that support early embryogenesis. Overall design: mRNA profiling of 2 replicates each for 3 genotypes of adult-stage C. elegans worms

Publication Title

A Small RNA-Catalytic Argonaute Pathway Tunes Germline Transcript Levels to Ensure Embryonic Divisions.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE10389
Identification of Stat5 Target Genes by siRNA-mediated knockdown
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

STAT5A and STAT5B proteins belong to the family of signal transducers and activators of transcription. They are encoded by 2 separate genes with 91% identity in their amino acid sequences. Despite their high degree of conservation, STAT5A and STAT5B exert non-redundant functions, resulting at least in part from differences in target gene activation. To better characterize the differential contribution of STAT5A and STAT5B in gene regulation, we performed single or double knock-down of STAT5A and STAT5B using small interfering RNA. Subsequent gene expression profiling and RT-qPCR analyses of IL-3-stimulated Ba/F3-beta cells led to the identification of putative novel STAT5 target genes. Chromatin immunoprecipitation assays analyzing the corresponding gene loci identified unusual STAT5 binding sites compared to conventional STAT5 responsive elements. Some of the STAT5 targets identified are upregulated in several human cancers, suggesting that they might represent potential oncogenes in STAT5-associated malignancies.

Publication Title

In vivo identification of novel STAT5 target genes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16179
BT474 and BT474-J4 microarray data
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

These data provide scientific information to understand the mechanism of action of lapatinib resistance in HER2-positive patients and to test the combination of HER2-targeted agents and GSK1363089 (foretinib) in the clinic by using an acquired lapatinib-resistant cell line.

Publication Title

Novel mechanism of lapatinib resistance in HER2-positive breast tumor cells: activation of AXL.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
...

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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