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accession-icon SRP126167
Revealing cellular and molecular transitions in neonatal germ cell differentiation using Single-cell RNA sequencing
  • organism-icon Mus musculus
  • sample-icon 140 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Neonatal germ cell development provides the foundation of spermatogenesis. However, a systematic understanding of this process is still limited. To resolve the cellular and molecular heterogeneity, we profiled single-cell transcriptomes of undifferentiated germ cells from neonatal mouse testes and employed unbiased clustering and pseudotime ordering analysis to assign cells to distinct cell states in the developmental continuum. We defined the unique transcriptional programs underlying the migratory capacity, resting cellular states and apoptosis regulation in transitional gonocytes. We also identified a subpopulation of primitive spermatogonia marked by CD87/uPAR, which exhibited a higher level of self-renewal gene expression and migration potential. We further revealed a differentiation-primed state within the undifferentiated compartment, in which elevated Oct4 expression correlates with lower expression of self-renewal pathway, higher Rarg expression, and enhanced retinoic acid responsiveness. Lastly, the knockdown experiment revealed the role of Oct4 in the regulation of gene expression related to the MAPK pathway and cell adhesion, which may contribute to stem cell differentiation. Our study thus provides novel insights into the cellular and molecular regulations during early germ cell development. Overall design: Here, we performed single-cell RNA-Seq of germ cells from mouse testes on postnatal day (PND) 5.5. We also obtained transcriptomes of subpopulations marked by different levels of CD87 or Oct4-GFP, as well as SSC culture after Oct4 knockdown by bulk RNA-Seq.

Publication Title

Revealing cellular and molecular transitions in neonatal germ cell differentiation using single cell RNA sequencing.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE89749
Integrative genomic and epigenetic analysis in cholangiocarcinoma
  • organism-icon Homo sapiens
  • sample-icon 120 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Whole-Genome and Epigenomic Landscapes of Etiologically Distinct Subtypes of Cholangiocarcinoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE89748
Integrative genomic and epigenetic analysis in cholangiocarcinoma [batch2]
  • organism-icon Homo sapiens
  • sample-icon 72 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of gene expression in cholangiocarcinoma patients.

Publication Title

Whole-Genome and Epigenomic Landscapes of Etiologically Distinct Subtypes of Cholangiocarcinoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE89747
Integrative genomic and epigenetic analysis in cholangiocarcinoma [batch1]
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of gene expression in cholangiocarcinoma patients.

Publication Title

Whole-Genome and Epigenomic Landscapes of Etiologically Distinct Subtypes of Cholangiocarcinoma.

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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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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