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accession-icon SRP037992
SCML2 Establishes the Male Germline Epigenome
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon

Description

Gametogenesis is dependent on the expression of germline-specific genes. However, it remains unknown how the germline epigenome is distinctly established from that of somatic lineages. Here we show that genes commonly expressed in somatic lineages and spermatogenesis-progenitor cells undergo repression in a genome-wide manner in late stages of the male germline and identify underlying mechanisms. SCML2, a germline-specific subunit of a Polycomb repressive complex 1 (PRC1), establishes the unique epigenome of the male germline through two distinct antithetical mechanisms. SCML2 works with PRC1 and promotes RNF2-dependent ubiquitination of H2A, thereby marking somatic/progenitor genes on autosomes for repression. Paradoxically, SCML2 also prevents RNF2-dependent ubiquitination of H2A on sex chromosomes during meiosis, thereby enabling unique epigenetic programming of sex chromosomes for male reproduction. Our results reveal divergent mechanisms involving a shared regulator by which the male germline epigenome is distinguished from that of the soma and progenitor cells. Overall design: RNA-seq and ChIP-seq analyses using wild-type and Scml2-KO spermatogenic cells

Publication Title

Poised chromatin and bivalent domains facilitate the mitosis-to-meiosis transition in the male germline.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10526
Role of P. gingivalis SerB in Gingival Epithelial Cell Cytoskeletal Remodeling and Cytokine Productions.
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Transcriptional profiling of oral keratinocytes was utilized to define the biological role of P. gingivalis SerB.

Publication Title

Role of Porphyromonas gingivalis SerB in gingival epithelial cell cytoskeletal remodeling and cytokine production.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE6927
Gingival Epithelial Cell Transcriptional Responses to Commensal and Opportunistic Oral Microbial Species.
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Transcriptional profiling was utilized to define the biological pathways of gingival epithelial cells modulated by co-culture with the oral commensal S. gordonii and the opportunistic commensal F. nucleatum.

Publication Title

Gingival epithelial cell transcriptional responses to commensal and opportunistic oral microbial species.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE42129
Expression data from zebrafish pigment cells at adult stage
  • organism-icon Danio rerio
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

In zebrafish, there are interactions between black pigment cells (melanophores) and yellow pigment cells (xanthophores) for pigment-pattern formation. However, the detailed molecular mechanism of these interactions remains largely unknown.

Publication Title

Involvement of Delta/Notch signaling in zebrafish adult pigment stripe patterning.

Sample Metadata Fields

Specimen part

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accession-icon GSE8712
The effects of Yariv-reagent on barley aleurone GA signaling
  • organism-icon Hordeum vulgare
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Barley Genome Array (barley1)

Description

Microarray analysis was performed to know how many gibberellin (GA)-responsive genes are inhibited by beta-Yariv reagent, a specific binder of plant arabinogalactan-proteins. cRNAs were prepared from mRNAs isolated from aleurone protoplasts that were treated with GA, GA plus beta-Yariv reagent, or mock (DMSO)-treated for 24 hours, and were subjected to microarray analysis. The analysis was performed twice using target cRNAs prepared independently.

Publication Title

Defense-related signaling by interaction of arabinogalactan proteins and beta-glucosyl Yariv reagent inhibits gibberellin signaling in barley aleurone cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE135935
Identification of early response genes to low-intensity pulsed ultrasound in bone marrow stromal cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Low-intensity pulsed ultrasound (LIPUS) has been applied as a therapeutic adjunct to promote fracture healing. However, the detailed molecular mechanisms by which LIPUS promotes bone fracture healing have not yet been fully elucidated.

Publication Title

Genetic response to low‑intensity ultrasound on mouse ST2 bone marrow stromal cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE29370
Gene expression profile of malignant mesothelioma
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Malignant mesothelioma (MM) is an asbestos-related malignancy and largely unresponsive to conventional chemotherapy or radiotherapy. Novel, more effective therapeutic strategies are needed for this fatal disease. We performed microarray analysis of MM using Affymetrix Human U133 Plus 2.0 array. Aberrant expression of the genes participating in semaphorin signaling were detected in malignant mesothelioma cells. All MM cells downregulated the expression of more than one gene for SEMA3B, 3F, and 3G when compared with Met5a, a normal pleura-derived cell line. In 12 of 14 epithelioid MM cells, the expression level of SEMA3A was lower than that in Met5a. An augmented expression of VEGFA was detected in half of the MM cells. The expression ratio of VEGFA/SEMA3A was significantly higher in the epithelioid MMs than in Met5a and the non-epithelioid MMs. Next, gene expression profiling for the polycomb and trithorax group genes revealed that expression of BAP1, the catalytic subunit of the polycomb repressive deubiquitinase complex, and many trithorax group genes was downregulated in MMs compared with the expression of the same genes in Met5a cells. Perturbation of the polycombtrithorax balance plays a significant role in the pathogenesis of malignant mesothelioma.

Publication Title

Frequent deletion of 3p21.1 region carrying semaphorin 3G and aberrant expression of the genes participating in semaphorin signaling in the epithelioid type of malignant mesothelioma cells.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon GSE19665
Aberrant DNA methylation in hepatitis B and C virus-related hepatocellular carcinoma
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Chronic infections by hepatitis B virus (HBV) and hepatitis C virus (HCV) appear to be the most significant causes of hepatocellular carcinoma (HCC). Aberrant promoter methylation is known to be deeply involved in cancer, including HCC. In this study, we analyzed aberrant promoter methylation on genome-wide scale in 6 HCCs including 3 HBV-related and 3 HCV-related HCCs, 6 matched noncancerous liver tissues and 3 normal liver tissues by methylated DNA immunoprecipitation-on-chip analysis. Candidate genes with promoter methylation were detected more frequently in HCV-related HCC. Candidate genes methylated preferentially to HBV-related or HCV-related HCCs were detected and selected, and methylation levels of the selected genes were validated using 125 liver tissue samples, including 61 HCCs (28 HBV-related HCCs and 33 HCV-related HCCs) and matched 59 matched noncancerous livers, and 5 normal livers, by quantitative methylation analysis using MALDI-TOF mass spectrometry. Among analyzed genes, preferential methylation in HBV-related HCC was validated in 1 gene only. However, 15 genes were found methylated preferentially in HCV-related HCC, which was independent from age. Hierarchical clustering of HCC using these 15 genes stratified HCV-related HCC as a cluster of frequently methylated samples. The 15 genes included genes inhibitory to cancer-related signaling such as RAS/RAF/ERK and Wnt/b-catenin pathways. It was indicated that genes methylated preferentially in HCV-related HCC exist, and it was suggested that DNA methylation might play an important role in HCV-related HCC by silencing cancer-related pathway inhibitors.

Publication Title

Identification of genes preferentially methylated in hepatitis C virus-related hepatocellular carcinoma.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon SRP115646
RNA-seq in spermatogonia from PRC1ctrl and dKO mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-seq was performed using Thy1- and c-Kit+ spermatogonia from 7-days-old PRC1ctrl or dKO mice. Overall design: Duplicate RNA-seq analyses using spermatogonia from 7-days-old PRC1ctrl or dKO mice

Publication Title

Polycomb directs timely activation of germline genes in spermatogenesis.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE109657
Skeletal muscle response to high-intensity intermittent exercise training in young men
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

High-intensity intermittent exercise training (HIIT) has been proposed as an effective approach for improving both anaerobic and aerobic capacities. However, the molecular response of muscles to HIIT remains unknown.

Publication Title

Gene expression profile of muscle adaptation to high-intensity intermittent exercise training in young men.

Sample Metadata Fields

Sex, Specimen part, Time

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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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