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accession-icon SRP049420
The Partitioning of RNAs in sperm
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

A diverse pool of RNAs remain encapsulated within the transcriptionally and translationally silent spermatozoon. These transcripts persist within the male gamete despite the dramatic reduction in cellular volume achieved through expulsion of the cytoplasm and quite possibly the nucleoplasm. The precise location of RNAs retained within the sperm cell remains largely unknown. However, early evidence suggested that many are embedded within the nucleus (1). To discern the global pattern of transcript compartmentalization in sperm, total RNA was extracted from whole mouse spermatozoa and detergent demembranated nuclei fractionated through a sucrose gradient. Isolated RNAs were subjected to RNA-sequencing (RNA-seq) and their abundance used to infer localization. Transcripts enriched in the unfractionated cells were related to the production and function of mitochondria and surprisingly, exosomes. The absence of these extracellular vesicles associated RNAs within the inner-nuclear compartment was suggestive of an origin other than sperm. This contributes to the growing evidence for sperm-bound exosomes rich in RNA. In comparison, the majority of the remaining sperm RNAs were associated with the nucleus. This included the abundant fragmented ribosomal transcripts which likely persist between the nuclear envelope and the perinuclear theca. The spermatozoal inner-nuclear compartment was also enriched in repetitive transcribed sequences. This included LINE elements and simple repeat sequences both of which have been shown to contribute to chromatin structure in other cell types suggesting that they may serve parallel roles in the spermatozoon. Overall design: RNA-seq analysis of whole mouse sperm and fractionated nuclei

Publication Title

The protein and transcript profiles of human semen.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP055671
Disruptions of Topological Chromatin Domains Causes Pathogenic Rewiring of Gene-Enhancer Interactions [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Mammalian genomes are organized into megabase-scale topologically associated domains (TADs) that have been proposed to represent large regulatory units. Here we demonstrate that disruption of TADs can cause rewiring of long-range regulatory architecture and result in pathogenic phenotypes. We show that distinct human limb malformations are caused by deletions, inversions, or duplications altering the structure of the TAD-spanning WNT6/IHH/EPHA4/PAX3 locus. Using CRISPR/Cas genome editing, we generated mice with corresponding rearrangements. Both in mouse limb tissue and patient-derived fibroblasts, disease-relevant structural changes cause ectopic interactions between promoters and non-coding DNA, and a cluster of limb enhancers normally associated with Epha4 is misplaced relative to TAD boundaries and drives ectopic limb expression of another gene in the locus. Our results demonstrate the functional importance of TADs for orchestrating gene expression via genome architecture and indicate criteria for predicting the pathogenicity of human structural variants, particularly in non-coding regions of the human genome. Overall design: RNA-seq profile of developing distal limbs of mutants and WT animals at E11.5

Publication Title

Disruptions of topological chromatin domains cause pathogenic rewiring of gene-enhancer interactions.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE39528
Identification of microarray probe signals constantly present in multiple sample types
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of artifactual microarray probe signals constantly present in multiple sample types.

Sample Metadata Fields

Specimen part

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accession-icon GSE39526
Identification of microarray probe signals constantly present in multiple sample types (part 1)
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The correlation of the RNA profiles obtained by microarray analysis was compared with that obtained from RNA-Seq by using reduced complexity sperm datasets. This resolved as a series of discordant probes. The extent of discordancy among other datasets was then determined.

Publication Title

Identification of artifactual microarray probe signals constantly present in multiple sample types.

Sample Metadata Fields

Specimen part

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accession-icon SRP014487
Identification of microarray probe signals constantly present in multiple sample types (part 2)
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

The correlation of the RNA profiles obtained by microarray analysis was compared with that obtained from RNA-Seq by using reduced complexity sperm datasets. This resolved as a series of discordant probes. The extent of discordancy among other datasets was then determined. Overall design: A correlative study between probe’s signal intensity from Illumina bead arrays with its transcript level detected by next generation sequencing technique was performed. RNAs from sperm and testis samples were applied

Publication Title

Identification of artifactual microarray probe signals constantly present in multiple sample types.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP058941
The protein and transcript profiles of human semen
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Transcriptome of testes was examined for comparison of transcript abundance with that of sperm/seminal fluid (as sequenced in separate study) Overall design: Commercially available (Ambion) human testes RNA was prepared and sequenced in two replicates

Publication Title

Nuclease Footprints in Sperm Project Past and Future Chromatin Regulatory Events.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP041833
Evaluation of RNA amplification and RNA-Seq library preparation protocols for spermatozoa RNA profiling
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

RNA-Seq technique was applied to investigate the effects of four cDNA amplification kits and two RNA-Seq library preparation kits to the deep sequencing results at different perspectives. Overall design: The same set of semen samples were applied to investigate the qualitative and quantitative effect of four cDNA amplification methods and two RNA-Seq library preparation methods on sperm transcript profiling.

Publication Title

A comparison of sperm RNA-seq methods.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE25198
RNA profiles of embryonic stem cells generated from in vitro produced or in vivo derived rhesus preimplantation embryos
  • organism-icon Macaca mulatta
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Rhesus Macaque Genome Array (rhesus)

Description

It is often overlooked that human ESCs are generated from in vitro cultured, often surplus/discard, embryos considered unsuitable for transfer in infertility clinics. In vitro culture of preimplantation embryos has been associated with a number of perturbations, including ultrastructure, gene expression, metabolism and post-transfer development. We report here the transcriptional profiles characteristic of ESC lines generated from either in vitro cultured or in vivo derived embryos.

Publication Title

Transcriptional differences between rhesus embryonic stem cells generated from in vitro and in vivo derived embryos.

Sample Metadata Fields

Specimen part

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accession-icon GSE14078
Normal fertile Spermatozoal RNA Profiles
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge IconIllumina humanRef-8 v2.0 expression beadchip

Description

Numerous studies have shown the potential of spermatozoal RNAs to delineate failures of spermatogenic pathways in infertile samples. However, the RNA contribution of normal fertile samples still needs to be established in relation to transcripts consistently present in human spermatozoa. We report here the spermatozoal transcript profiles characteristic of 24 normally fertile individuals. RNA was extracted from the purified sperm cells of ejaculate and hybridized to Illumina Human-8 BeadChip Microarrays

Publication Title

Identification of human sperm transcripts as candidate markers of male fertility.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP018020
Evaluation of the effectiveness of semen collection and sperm purification methods for spermatozoa transcript profiling
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-Seq technique was applied to investigate the effects of two semen collection methods (Pelleted vs Liquefied) and two sperm purification methods (SCLB vs PS) to the integrity of isolated RNAs at different perspectives. Overall design: The same set of semen samples were applied to investigate the qualitative and quantitative effect of semen collection methods and sperm cell purification methods on sperm transcript profiling.

Publication Title

Evaluation of the effectiveness of semen storage and sperm purification methods for spermatozoa transcript profiling.

Sample Metadata Fields

Subject

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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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