refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 117 results
Sort by

Filters

Technology

Platform

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

View Samples
accession-icon GSE9444
Sleep deprivation and the brain
  • organism-icon Mus musculus
  • sample-icon 131 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Homer1a is a core brain molecular correlate of sleep loss.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9442
Molecular correlates of sleep deprivation in the brain of three inbred mouse strains in an around-the-clock experiment
  • organism-icon Mus musculus
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

These studies adress differential changes in gene expression between sleep deprived and control mice. We profiled gene expression at four time points across the 24H Light/Dark cycle to take into account circadian influences and used three different inbred strains to understand the influence of genetic background.

Publication Title

Homer1a is a core brain molecular correlate of sleep loss.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9441
The effect of sleep deprivation on gene expression in the brain and the liver of three inbred mouse strains
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

These studies adress differential changes in gene expression between 6h sleep deprived and control mice in the brain and the liver. We profiled gene expression in three different inbred strains to understand the influence of genetic background.

Publication Title

Homer1a is a core brain molecular correlate of sleep loss.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9443
Gene expression in brain Homer1a-expressing cells after sleep deprivation
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To gain insight into the molecular changes of sleep need, this study addresses gene expression changes in a subpopulation of neurons selectively activated by sleep deprivation. Whole brain expression analyses after 6h sleep deprivation clearly indicate that Homer1a is the best index of sleep need, consistently in all mouse strains analyzed. Transgenic mice expressing a FLAG-tagged poly(A)-binding protein (PABP) under the control of Homer1a promoter were generated. Because PABP binds the poly(A) tails of mRNA, affinity purification of FLAG-tagged PABP proteins from whole brain lysates, is expected to co-precipitate all mRNAs from neurons expressing Homer1a. Three other activity-induced genes (Ptgs2, Jph3, and Nptx2) were identified by this technique to be over-expressed after sleep loss. All four genes play a role in recovery from glutamate-induced neuronal hyperactivity. The consistent activation of Homer1a suggests a role for sleep in intracellular calcium homeostasis for protecting and recovering from the neuronal activation imposed by wakefulness.

Publication Title

Homer1a is a core brain molecular correlate of sleep loss.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP034746
3’ and 5’ end modifications in plant microRNA post biogenesis: evidences from NGS of small RNAs [Arabidopsis thaliana]
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Backgropund:In a major paradigm shift in the last decade, the knowledge about a whole class of non-coding RNAs known as miRNAs has emerged, which have proved these to be important regulators of a wide range of cellular processes by the way of modulation of gene expression. It is reported that some of these miRNAs are modified by addition or deletion of nucleotides at their ends, after biogenesis. However, the biogenesis and functions of these modifications are not well studied in eukaryotes, especially in plants. In this study, we examined the miRNA modifications in different tissues of the various plants, namely rice, tomato and Arabidopsis and identified some common features of such modifications. Results:We have analyzed different aspects of miRNA modifications in plants. To achieve this end, we developed a PERL script to find the modifications in the sequences using small RNA deep sequencing data. The modification occurs in both mature and passenger (star) strands, as well as at both the 5'' and 3'' ends of miRNAs. Interestingly, we found a position-specific nucleotide biased modification, as evident by increased number of modification at the 5'' end with the presence of Cytosine (nucleotide ''C'') at the 3’end of the miRNA sequence. The level of modifications is not strictly dependent on the abundance of miRNA. Our study showed that the modification events are independent of plant species, tissue and physiological conditions. Our analysis also indicates that the RNAi enzyme, namely, the RNA dependent RNA polymerase 6 (RDR6) may not have any role in Arabidopsis miRNA modifications. Some of these modified miRNAs are bound to AGO1, suggesting their possible roles in biological processes. Conclusions:This is a first report that reveals that 5'' nucleotide additions are preferred for mature miRNA sequences with 3’ terminal ‘C’ nucleotide. Our analysis also indicates that the miRNAs modifications involving addition of nucleotides to the 5’ or 3’ end are independent of RDR6 activity and are not restricted by plant species, physiological conditions and tissue types. The results also indicate that such modifications might be important for biological processes. Overall design: small RNA profiles of wild type and RDR6 (-) of Arabidopsis plants were generated using deep sequencing data.

Publication Title

3' and 5' microRNA-end post-biogenesis modifications in plant transcriptomes: Evidences from small RNA next generation sequencing data analysis.

Sample Metadata Fields

Subject

View Samples
accession-icon SRP135812
RNA-seq analysis of splenic follicular IgD low and IgD high, and marginal zone B cells
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA sequencing was performed to determine the uniqueness of splenic follicular IgD low B cells compared to splenic follicular IgD high and marginal zone B cells. Overall design: Splenic follicular IgD low and IgD high , and MZ B cells were sorted by FACS from naïve 8-10 weeks old mice. Total RNA was isolated from the sorted cells using RNAqueous® -4PCR kit and RNA sequencing was performed. Splenocytes from five mice were pooled for each sorting. Three independent sorting was performed for each B cell subset.

Publication Title

Mature IgD<sup>low/-</sup> B cells maintain tolerance by promoting regulatory T cell homeostasis.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE78947
HCT116 gene expression analysis upon CAF stimulation
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

HCT116 colon carcinoma cells invade more the basement membrane when carcinoma-associated fibroblasts (CAFs) are present. In order to identify if CAFs induce an invasive phenotype to HCT116 cells, and therefore regulate genes expression related to invasion, we compared gene expression of HCT116 cells cultured alone or in the presence of CAFs.

Publication Title

Cancer-associated fibroblasts induce metalloprotease-independent cancer cell invasion of the basement membrane.

Sample Metadata Fields

Disease, Cell line

View Samples
accession-icon GSE17548
Expression data from cirrhosis and HCC tissue samples
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hepatocellular carcinoma (HCC) is the fifth most-common cancer worldwide causing nearly 600,000 deaths esch year. Approximately 80% of HCC develops on the background of cirrhosis.It is necessary to identify novel genes involved in HCC to implement new diagnostic and treatment options. However, the molecular pathogenesis of HCC largely remains unsolved. Only a few genetic alterations, namely those affecting p53, -catenin and p16INK4a have been implicated at moderate frequencies of these cancers. Early detection of HCC with appropriate treatment can decrease tumor-related deaths

Publication Title

Genome-wide transcriptional reorganization associated with senescence-to-immortality switch during human hepatocellular carcinogenesis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE17546
Expression data from immortal and senescence-programmed Huh7 clones
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cellular senescence is a tumor suppressor mechanism, and immortalization facilitates neoplastic transformation. Both mechanisms may be highly relevant to hepatocellular carcinoma (HCC) development and its molecular heterogeneity. Cellular senescence appears to play a major role in liver diseases. Chronic liver diseases are associated with progressive telomere shortening leading senescence that is observed highly in cirrhosis, but also in some HCC. We previously described the generation of immortal and senescence-programmed clones from HCC-derived Huh7 cell line.

Publication Title

Genome-wide transcriptional reorganization associated with senescence-to-immortality switch during human hepatocellular carcinogenesis.

Sample Metadata Fields

Sex, Specimen part

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact