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accession-icon SRP049223
Transcription and Imprinting Dynamics in Developing Postnatal Male Germline Stem Cells
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon

Description

Paternal imprinting initiates in primordial germ cells (PGCs), and is considered largely completed at birth. The resulting postnatal spermatogonial stem cells (SSCs) thenself-renew and proliferate to populate the testicular niche, with sexual maturation enabling productive gametogenesis. Overall design: mRNA profiles of neonatal wild type (WT) mice testis were generated by deep sequencing using Illumina HiSeq 2000 Examination of 2 different histone modifications in mouse spermatogonia Please note that ChIPSeq_Kitplus samples are samples isolated with MACS CD117 microbeads from Miltenyi and ChIPSeq_Kitminus are samples that were not positively selected for Kit.

Publication Title

Transcription and imprinting dynamics in developing postnatal male germline stem cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE20967
Gene expression profiling of vasoregression in the retina
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Vasoregression is a hallmark of vascular eye diseases but the mechanisms involved are still largely unknown. We have recently characterized a rat ciliopathy model which develops primary photoreceptor degeneration and secondary vasoregression. To improve the understanding of secondary vasoregression in retinal neurodegeneration, we used microarray techniques to compare gene expression profiles in this new model before and after retinal vasoregression. Differential gene expression was validated by quantitative RT-PCR, Western blot and immunofluorescence. Of the 374 genes regulated more than twofold, the MHC class II invariant chain CD74 yielded the strongest upregulation, and was allocated to activated microglial cells close to the vessels undergoing vasoregression. Pathway clustering identified genes of the immune system, inflammatory signaling, and components of the complement cascade upregulated during vasoregression. Furthermore, macroglial cells were markedly activated. Together, our data suggest that glial cells involved in retinal immune response participate in the initiation of vasoregression in the retina.

Publication Title

Gene expression profiling of vasoregression in the retina--involvement of microglial cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP174204
Neonatal and adult human testis defined at the single-cell level
  • organism-icon Homo sapiens
  • sample-icon 126 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Spermatogenesis has been well studied in rodents and invertebrates, but remains poorly understood in humans. As a step towards illuminating human spermatogenesis, we used single-cell RNA-sequencing (scRNAseq) analysis to analyze neonatal and adult human testes. Clustering analysis of neonatal testes revealed 3 germ subsets, including cells with characteristics of primordial germ cells (PGCs), and more differentiated cells with gene expression profiles similar with adult spermatogonial stem cells (SSCs). We identified markers for these neonatal subsets, including protein markers for the PGC-like (PGCL) subset. Clustering analysis of the adult testis revealed 9 germ and 3 somatic cell subsets. Among the germ cell clusters are 4 undifferentiated spermatogonia (SPG) states, each marked by specific genes. One of the SPG states has characteristics suggesting it is enriched for SSCs. We identified protein markers specific for this state, including cell-surface proteins that we used to enrich for these cells. We mapped the timeline of male germ cell development from PGCs through fetal germ cells to differentiating adult SPG stages. We also defined somatic cell subsets in the human testis and traced their developmental trajectories. Together, our data provides a blueprint for understanding the development of the male germline and supporting somatic cells in humans. The germ cell subset markers we identified are candidates to be used for clinical applications, including SSC therapy for treating infertility.  Overall design: Single cell sequencing from two neonatal and two adult testicular cells was performed. Cells were either enriched for ITGA6 expression or unfractionated before GEM capture

Publication Title

The Neonatal and Adult Human Testis Defined at the Single-Cell Level.

Sample Metadata Fields

Age, Specimen part, Subject

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accession-icon SRP136556
A comprehensive roadmap of spermatogenesis and testis niche from single-cell RNA-seq
  • organism-icon Mus musculus
  • sample-icon 42 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Continuous sperm production is not necessary for the survival of the organism, but is essential to maintain a species. The process of spermatogenesis is comprised of three phases: mitotic proliferation, meiosis, and spermiogenesis. To illuminate germline intrinsic and extrinsic programs, we performed single-cell RNA sequencing on ~35K cells from the adult mouse testis. This analysis provides a comprehensive molecular atlas of the testis, identifying both known and novel cell types. We demonstrate for the first time the continuous nature of germ cell differentiation, provide molecular signatures and subtype-specific molecular markers, and identify several novel candidate regulators of spermatogenesis. Finally, we demonstrate in vivo using spatial mapping that germ and somatic cell molecular subtypes correspond to previously defined histological cell types residing at different stages of seminiferous epithelial cycle. Taken together, our results unveil the complexity of the testis, and provide a global, unbiased roadmap of the in vivo gametogenesis program. Overall design: Drop-seq of whole mouse testis and enriched populations. NOTE: As the initial submission of raw data only included partial run (extracted mouse cells) for some samples, all raw data for the following samples have been replaced to include the complete/original run for each sample (Feb 2019): GSM3069439, GSM3069440, GSM3069443-GSM3069448,GSM3069450, GSM3069451, GSM3069459-GSM3069463 All raw data for the 25 samples are paired-end, with 8 single-species samples + 17 mixed-species samples. For mixed-species samples, the major species is mouse, and the spike-in can be either human or monkey. The spike-in species were only used to confirm cells are not doublets by two-species mixing experiments, but not analyzed in processed data under GSE112393.

Publication Title

A Comprehensive Roadmap of Murine Spermatogenesis Defined by Single-Cell RNA-Seq.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon GSE106260
Immunopathology of childhood celiac disease-Key role of intestinal epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Immunopathology of childhood celiac disease-Key role of intestinal epithelial cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE829
Laminin binding/non-binding germ cells
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2), Affymetrix Murine Genome U74A Array (mgu74a)

Description

Comparison of laminin binding and laminin non-binding germ cells

Publication Title

Defining the spermatogonial stem cell.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE830
Rat germ cells
  • organism-icon Rattus norvegicus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Rat germ cells

Publication Title

Defining the spermatogonial stem cell.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE103374
Gene expression assessed by genome wide hybridization bead array in T84 polarized tight monolayers after challenge with celiac disease-associated bacteria and gluten [CTR glut bmix, bmix and gluten]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of the influence of celiac disease-associated bacteria and gluten on intestinal epithelial cells

Publication Title

Immunopathology of childhood celiac disease-Key role of intestinal epithelial cells.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE103100
Gene expression assessed by genome wide hybridization bead array in T84 polarized tight monolayers after challenge with celiac disease-associated bacteria and gluten [A grav, Bmix Bmix glut]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of the influence of celiac disease-associated bacteria and gluten on intestinal epithelial cells

Publication Title

Immunopathology of childhood celiac disease-Key role of intestinal epithelial cells.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE103107
Gene expression assessed by genome wide hybridization bead array in T84 polarized tight monolayers after challenge with celiac disease-associated bacteria [CTR 22 28 27]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of the influence of celiac disease-associated bacteria on intestinal epithelial cells

Publication Title

Immunopathology of childhood celiac disease-Key role of intestinal epithelial cells.

Sample Metadata Fields

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)

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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