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accession-icon GSE52819
Vitamin D treatment of M.tb. infected macrophages
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

As macrophages are the primary site of Mtb infection and are sites of vitamin D signaling, we have used these cells to understand the molecular mechanisms underlying modulation of the immune response by the hormonal form of vitamin D, 1,25-dihydroxyvitamin D (1,25D).

Publication Title

Vitamin D induces interleukin-1β expression: paracrine macrophage epithelial signaling controls M. tuberculosis infection.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE58460
Rheumatoid Arthritis Rat Model Treated with Acupuncture
  • organism-icon Rattus norvegicus
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Systemic Wound Healing Associated with local sub-Cutaneous Mechanical Stimulation.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE48025
Affymetrix Chip Data of the Transcriptome of the Rheumatoid Arthritis Rat Model Treated with Acupuncture (Affymetrix, mRNA, batch1)
  • organism-icon Rattus norvegicus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

We report the application of Affymetrix technology for high-throughput profiling of the transcriptome of the rheumatoid arthritis (RA) rat model induced by collagen type II (CIA), with acupuncture, Methotrexate, Isofluorane anesthetic and placebo treatments, as well as the healthy control.

Publication Title

Systemic Wound Healing Associated with local sub-Cutaneous Mechanical Stimulation.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP043193
Short Read Sequencing Data of the Transcriptome of the Rheumatoid Arthritis Rat Model Treated with Acupuncture (HiSeq 2000, miRNA, batch 1)
  • organism-icon Rattus norvegicus
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report the application of Illumina Hiseq2000 sequencing technology for high-throughput miRNA profiling of the rheumatoid arthritis (RA) rat model induced by collagen type II (CIA), with acupuncture and placebo treatments. Overall design: The experiment is designed as 2 arms: epidermal needle manipulation (AP/MEC) and placebo (PLA, used as control) on CIA induced rheumatoid arthritis (RA) rats. Muscle tissue samples sampling was carried out before any therapy in RA rats (RA_T0), and after at 1 hour and 34 days of therapeutic treatments for both AP and PLA. From all the 10 blood collected samples (2 replicates for each group, for each timepoint), total RNA were extracted. Finally, purified RNA were analyzed using illumina hiseq 2000).

Publication Title

Systemic Wound Healing Associated with local sub-Cutaneous Mechanical Stimulation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE58456
Affymetrix Chip Data of the Transcriptome of the Rheumatoid Arthritis Rat Model Treated with Acupuncture (Affymetrix, mRNA, batch 2)
  • organism-icon Rattus norvegicus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

We report the application of Affymetrix technology for high-throughput profiling of the transcriptome of the rheumatoid arthritis (RA) rat model induced by collagen type II (CIA), with acupuncture and Methotrexate+acupuncture treatment, as well as epidermal needle manipulation on healthy rat model.

Publication Title

Systemic Wound Healing Associated with local sub-Cutaneous Mechanical Stimulation.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE27726
Analysis of anther transcriptomes to identify genes contributing to meiosis and male gametophyte development in rice
  • organism-icon Oryza sativa indica group
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Background In flowering plants, the anther is the site of male gametophyte development. Two major events in the development of the male germline are meiosis and the asymmetric division in the male gametophyte that gives rise to the vegetative and generative cells, and the following mitotic division in the generative cell that produces two sperm cells. Anther transcriptomes have been analyzed at progressive stages of development by using microarray and sequence by synthesis technologies to identify genes that regulate anther development. Here we have carried out a comprehensive analysis of rice anther transcriptomes at four distinct stages of development with a focus to identify regulatory components contributing to male meiosis and germline development. Further, these transcriptomes have been compared with transcriptomes of 10 stages of rice vegetative and seed development to identify genes that express specifically during anther development. Results - To understand the molecular processes that lead to male gametophyte development, transcriptome profiling of four stages of anther development in rice [pre-meiotic (PMA), meiotic (MA), anthers at single-celled (SCP) and tri-nucleate pollen (TPA)] was conducted. Around 22,000 genes were found to be expressed in at least one of the anther developmental stages, with the highest number in MA (18,090) and lowest (15,465) in TPA. Comparison of these transcriptome profiles to an in-house generated microarray-based transcriptomics database comprising of 10 stages/tissues of vegetative as well as reproductive development in rice resulted in the identification of1,000 genes that are specifically expressed in anther stages. Of them the expression of 453 genes was found to be specific to TPA, whereas 78 and 184 genes were expressed specifically in MA and SCP. Gene ontology and pathway analysis of specifically expressed genes revealed that transcription factors and protein folding, sorting and degradation pathway genes dominated in MA, whereas in TPA, those coding for cell structure and signal transduction components were in abundance. Interestingly, about 50% of the genes with anther-specific expression have not been annotated so far. Conclusions - These data not only provide the transcriptome constituents of four landmark stages of anther development but also identify genes that express exclusively in these stages and therefore may contribute to specific aspects of anther and/or male gametophyte development in rice. Moreover, these gene sets assist in building a deeper understanding of underlying regulatory networks and in selecting candidates for gene function validation.

Publication Title

Analysis of anther transcriptomes to identify genes contributing to meiosis and male gametophyte development in rice.

Sample Metadata Fields

Specimen part

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accession-icon SRP043707
Short Read Sequencing Data of the Transcriptome of the Rheumatoid Arthritis and Treated with Acupuncture or not
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We report the application of Illumina Hiseq2000 sequencing technology for high-throughput profiling of the transcriptome of the rheumatoid arthritis (RA) rat model induced by collagen type II (CIA) and treated with acupuncture or not. Overall design: 2 rats in total, i.e., 2 replicates RA rat model before treatment (RA1, 2) for 3 in vitro culture conditions (standard serum FBS, blood serum from animals acupuncture treated AP+, blood serum from animals acupuncture untreated AP-).

Publication Title

Systemic Wound Healing Associated with local sub-Cutaneous Mechanical Stimulation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12267
Gene Expression Profile of Osteogenic Cells Derived from Human Bone Marrow and Trabecular Bone
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Gene expression patterns related to osteogenic differentiation of bone marrow-derived mesenchymal stem cells during ex vivo expansion.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12265
Gene Expression Profile of Osteogenic Cells Derived from Human Bone Marrow and Trabecular Bone II
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this study was to describe the gene expression patterns related to the differentiation and mineralization of bone-forming cells, including activation and/or repression of osteogenic or non-osteogenic pathways, remodeling of cell architecture, cell adhesion, cell communication, and assembly of extracellular matrix. The study implied patient selection, tissue collection, isolation and culture of human marrow stromal cells (hMSC) and osteoblasts (hOB), and characterization of bone-forming cells. RNA samples were collected at defined time points, in order to understand the regulation of gene expression during the processes of cell differentiation/mineralization that occur during bone repair. Transcriptome analysis was performed by using the Affymetrix GeneChip microarray technology platform and GeneChip Human Genome U133 Plus 2.0 Array. Our results help to design a gene expression profile of bone-forming cells during specific steps of osteogenic differentiation. These findings offer an useful tool to monitor the behaviour of osteogenic precursors cultured in presence of exogenous stimuli, i.e. growth factors, or onto 3D scaffolds for bone engineering. Moreover, they can contribute to identify and clarify the role of new genes for a better understanding of the molecular mechanisms regulating osteogenesis.

Publication Title

Gene expression patterns related to osteogenic differentiation of bone marrow-derived mesenchymal stem cells during ex vivo expansion.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12266
Gene Expression Profile of Osteogenic Cells Derived from Human Bone Marrow and Trabecular Bone III
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this study was to describe the gene expression patterns related to the differentiation and mineralization of bone-forming cells, including activation and/or repression of osteogenic or non-osteogenic pathways, remodeling of cell architecture, cell adhesion, cell communication, and assembly of extracellular matrix. The study implied patient selection, tissue collection, isolation and culture of human marrow stromal cells (hMSC) and osteoblasts (hOB), and characterization of bone-forming cells. RNA samples were collected at defined time points, in order to understand the regulation of gene expression during the processes of cell differentiation/mineralization that occur during bone repair. Transcriptome analysis was performed by using the Affymetrix GeneChip microarray technology platform and GeneChip Human Genome U133 Plus 2.0 Array. Our results help to design a gene expression profile of bone-forming cells during specific steps of osteogenic differentiation. These findings offer an useful tool to monitor the behaviour of osteogenic precursors cultured in presence of exogenous stimuli, i.e. growth factors, or onto 3D scaffolds for bone engineering. Moreover, they can contribute to identify and clarify the role of new genes for a better understanding of the molecular mechanisms regulating osteogenesis.

Publication Title

Gene expression patterns related to osteogenic differentiation of bone marrow-derived mesenchymal stem cells during ex vivo expansion.

Sample Metadata Fields

No sample metadata fields

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)

fund-icon Fund the CCDL

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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