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accession-icon SRP118316
Spatial reconstruction of immune niches by combining photoactivatable reporter and single-cell RNA-seq
  • organism-icon Mus musculus
  • sample-icon 134 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Cellular function is strongly dependent on surrounding cells and environmental factors. Current technologies are limited in characterizing the spatial location and unique gene-programs of cells in less structured and dynamic niches. Here we developed a method (NICHE-seq) that combines photoactivatable fluorescent reporters, two-photon microscopy and single-cell RNA-seq to infer the cellular and molecular composition of niches. We applied NICHE-seq to examine the high-order assembly of immune cell networks. NICHE-seq is highly reproducible in spatial tissue reconstruction, enabling identification of rare niche-specific immune subpopulations and unique gene-programs, including natural killer cells within infected B cell follicles and distinct myeloid states in the marginal zone. This study establishes NICHE-seq as a broadly applicable method for elucidating high-order spatial organization of cell types and their molecular pathways. Overall design: Transcriptional profiling of single cells from the specific immune niches in the lymph node and spleen, generated from deep sequencing of tens of thousands of cells, sequenced in several batches on illumina Nextseq500

Publication Title

Spatial reconstruction of immune niches by combining photoactivatable reporters and scRNA-seq.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE26212
The effects of EBV transformation on gene expression and methylation levels
  • organism-icon Homo sapiens
  • sample-icon 82 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The effects of EBV transformation on gene expression levels and methylation profiles.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE58942
The effect of freeze-thaw cycles on gene expression levels in lymphoblastoid cell lines
  • organism-icon Homo sapiens
  • sample-icon 187 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Epstein-Barr virus (EBV) transformed lymphoblastoid cell lines (LCLs) are a widely used renewable resource for functional genomic studies in humans. The ability to accumulate multidimensional data pertaining to the same individual cell lines, from complete genomic sequences to detailed gene regulatory profiles, further enhances the utility of LCLs as a model system. However, the extent to which LCLs are a faithful model system is relatively unknown. We have previously shown that gene expression profiles of newly established LCLs maintain a strong individual component. Here, we extend our study to investigate the effect of freeze-thaw cycles on gene expression patterns in mature LCLs, especially in the context of inter-individual variation in gene regulation. We found a profound difference in the gene expression profiles of newly established and mature LCLs. Once newly established LCLs undergo a freeze-thaw cycle, the individual specific gene expression signatures become much less pronounced as the gene regulatory programs in LCLs from different individuals converge to a more uniform profile, which reflects a mature transformed B cell phenotype. As expected, previously identified eQTLs are enriched among the relatively few genes whose regulations in mature LCLs maintain marked individual signatures. We thus conclude that findings and insight drawn from gene regulatory studies in mature LCLs are generally not affected by artificial nature of the LCL model system and are likely to faithfully reflect regulatory interactions in primary tissues. However, our data indicate that many aspects of primary B cell biology cannot be observed and studied in mature LCL cultures.

Publication Title

The effect of freeze-thaw cycles on gene expression levels in lymphoblastoid cell lines.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE26210
The effects of EBV transformation on gene expression
  • organism-icon Homo sapiens
  • sample-icon 82 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Epstein-Barr virus (EBV)-transformed lymphoblastoid cell lines (LCLs) provide a conveniently accessible and renewable resource for functional studies in humans. The ability to accumulate multidimensional data pertaining to the same individual cell lines, from complete genomic sequences to detailed gene regulatory profiles, further enhances the utility of LCLs as a model system. A lingering concern, however, is that the changes associated with EBV transformation of LCLs reduce the usefulness of LCLs as a surrogate model for primary tissues. To evaluate the validity of this concern, we compared global gene expression profiles between CD20+ primary B cells and CD3+ primary T cells sampled from six individuals. Six independent replicates of transformed LCLs were derived from each sample.

Publication Title

The effects of EBV transformation on gene expression levels and methylation profiles.

Sample Metadata Fields

Sex, Specimen part, Subject

View Samples
accession-icon SRP041955
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The use of low quality RNA samples in whole-genome gene expression profiling remains controversial. It is unclear if transcript degradation in low quality RNA samples occurs uniformly, in which case the effects of degradation can be normalized, or whether different transcripts are degraded at different rates, potentially biasing measurements of expression levels. This concern has rendered the use of low quality RNA samples in whole-genome expression profiling problematic. Yet, low quality samples are at times the sole means of addressing specific questions – e.g., samples collected in the course of fieldwork.

Publication Title

RNA-seq: impact of RNA degradation on transcript quantification.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP097631
Sub-populations in the mammary repopulating units
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Elucidating the top of the mammary epithelial cell hierarchy is highly important for understanding its regeneration capabilities and identifying target cells for transformation. Aiming for enriched mammary epithelial stem cell population, CD200highCD200R1high epithelial cells were identified. These cells represent ~50% of the mammary repopulating units (MRUs, CD49fhigh CD24med ) and termed MRUCD200/CD200R1. Gene expression of these cells was compared to all other MRU cells, termed MRUnot CD200/CD200R1, as well as individual CD200+ population (MRU-CD200R1-) and CD200R1+ population (MRU-CD200-). Overall design: Gene expression from mammary epithelial cells carrying sorted by CD200, CD200R1 markers and MRU markers. Four populations were sequenced: MRU-positive CD200 positive and CD200R1 positive; MRU-positive and not CD200 positive CD200R1 positive; not MRU CD200 positive CD200R1 negative; not MRU CD200 negative CD200R1 positive. There are 5 replicates from 5 individual mice.

Publication Title

High Expression of CD200 and CD200R1 Distinguishes Stem and Progenitor Cell Populations within Mammary Repopulating Units.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE11045
Expression data from kidney and liver
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

mRNA expression differences between the liver and kidney of an adult male (homo sapien) were investigated using three technical replicates.

Publication Title

RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP101421
Genomic characterization of murine monocytes reveals C/EBPb dependence of Ly6C-cells [Single Cell RNA sequence]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Single cell RNA sequencing of murine circulating blood monocytes under steady state conditions. 2 plates of cx3cr1-cre:rosa26YFP monocytes and 4 plates (3 plates total monocytes and 1 plate Ly6Cint monocytes) were pre-enriched by CD115-biotin MACS and afterwards FACS sorted. Overall design: Indexed FACS sorting in 384well plates followed by MARS-Seq (Jaitin et al., Science 2014).

Publication Title

Genomic Characterization of Murine Monocytes Reveals C/EBPβ Transcription Factor Dependence of Ly6C<sup>-</sup> Cells.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon SRP041471
4sUDRB-seq: measuring transcription elongation and initiation genomewide
  • organism-icon Homo sapiens
  • sample-icon 309 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

A new method to measure elongation and intitiation rates Overall design: Reversal inhibition of transcription with DRB and tagging newly transcribed RNA with 4-thiouridine (4sU)

Publication Title

4sUDRB-seq: measuring genomewide transcriptional elongation rates and initiation frequencies within cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE34151
Deciphering the genetic architecture of variation in the immune response to Mycobacterium tuberculosis infection (expression)
  • organism-icon Homo sapiens
  • sample-icon 259 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Identification of genetic polymorphisms associated with inter-individual variation in immune response to Mycobacterium tuberculosis infection.

Publication Title

Deciphering the genetic architecture of variation in the immune response to Mycobacterium tuberculosis infection.

Sample Metadata Fields

Sex

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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)

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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