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accession-icon GSE66339
Sumoylation coordinates repression of inflammatory and anti-viral gene programs during innate sensing
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Sumoylation coordinates the repression of inflammatory and anti-viral gene-expression programs during innate sensing.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE66178
Sumoylation-deficient bone marrow derived dendritic cells transcriptomic analysis after LPS stimulation
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Bone marrow derived dendritic cells were generated from Ubc9[fl;-] and Ubc9[+/+] mice. After in vitro derivation in the presence of GM-CSF, dendritic cells were treated with tamoxifen for four days to cause CreERT2 activation, and induce Ubc9 floxed allele deletion. This allowed comparative transcriptomic analysis of Ubc9[+/+] and Ubc9[-/-] dendritic cells unstimulated or stimulated with 10ng/ml LPS for one hour and six hours.

Publication Title

Sumoylation coordinates the repression of inflammatory and anti-viral gene-expression programs during innate sensing.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE40484
Human inflammatory dendritic cells induce Th17 differentiation
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Transcriptome analysis of five population of Antigen Presenting Cells: inflammatory macrophages, Inflammatory dendritic cells, Cd14+CD16- monocytes, CD14 dim Cd16+ monocytes and BDCA1+ Dendritic cells.

Publication Title

Human inflammatory dendritic cells induce Th17 cell differentiation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE105163
Transcriptome analysis of naive and Listeria monocytogenes-specific CD8+ T cells
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

The histone methyltransferase Suv39h1 silences transcriptional programs during CD8+-T cell differentiation

Publication Title

The epigenetic control of stemness in CD8<sup>+</sup> T cell fate commitment.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE102046
Transcriptomic analysis of in vitro-generated human monocyte-derived cells
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

We analyzed the transcriptomes of human dendritic cells and macrophages derived from monocytes using MCSF + IL-4 + TNFa, or IL-34 + IL-4 + TNFa, or dendritic cells derived from monocytes using GMCSF + IL-4.

Publication Title

Aryl Hydrocarbon Receptor Controls Monocyte Differentiation into Dendritic Cells versus Macrophages.

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon SRP117082
Single-cell RNA-seq analysis of human CD14+ monocytes
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We performed single-cell RNA-seq on CD14+ monocytes isolated from the blood of healthy donors. Using the 10x chromium technology, we analyzed 425 and 431 cells from 2 individual donors. Overall design: Peripheral Blood Mononuclear Cells (PBMC) were prepared by centrifugation on a Ficoll gradient. Blood CD14+ monocytes were isolated from healthy donors' PBMC by positive selection using magnetic beads. Monocytes were 93-95% CD14+CD16- as assessed by flow cytometry. Cellular suspensions (1700 cells) were loaded on a 10X Chromium instrument (10X Genomics) according to manufacturer's protocol.

Publication Title

Aryl Hydrocarbon Receptor Controls Monocyte Differentiation into Dendritic Cells versus Macrophages.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE8696
Heme homeostasis is regulated by the conserved and concerted functions of HRG-1 proteins
  • organism-icon Caenorhabditis elegans
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Hemes are essential but potentially cytotoxic cofactors that participate in critical and diverse biological processes. Although the pathway and intermediates for heme biosynthesis have been well defined, the intracellular networks which mediate heme trafficking remain unknown. Caenorhabditis elegans and related helminths are natural heme auxotrophs requiring environmental heme for growth and development. We exploited this auxotrophy to identify HRG-1 and HRG-4 in C. elegans and show that they are essential for heme homeostasis and normal vertebrate development. We demonstrate that heme deficiency upregulates expression of hrg-4 and its evolutionarily conserved paralog hrg-1. Depletion of either HRG-1 or HRG-4 in worms results in disruption of organismal heme sensing and abnormal response to heme analogs. HRG-1 and HRG-4 are novel transmembrane proteins that bind heme and have evolutionarily conserved functions. Transient knockdown of hrg-1 in zebrafish leads to hydrocephalus, yolk tube malformations, and, most strikingly, profound defects in erythropoiesis - phenotypes that are fully rescued by worm HRG-1. These findings reveal unanticipated and conserved pathways for cellular heme trafficking in animals that defines the paradigm for eukaryotic heme transport. Uncovering the mechanisms of heme transport in C. elegans will provide novel insights into human disorders of heme metabolism and generate unique anthelmintics to combat worm infestations.

Publication Title

Haem homeostasis is regulated by the conserved and concerted functions of HRG-1 proteins.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP159651
Single-cell RNA-seq analysis of human tonsil CD4 T cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We performed single-cell RNA-seq on CD4 T cells isolated from the tonsils of one healthy donor. We used the 10x chromium technology. Overall design: Tonsil CD4 T cells were enriched by negative selection using magnetic beads. Cell populations (CXCR5+PD-1low T cells, CXCR5+PD-1int T cells and CXCR5+PD-1high T cells ) were further isolated by cell sorting. Cellular suspensions (3500 cells) were loaded on a 10X Chromium instrument (10X Genomics) according to manufacturer's protocol.

Publication Title

Human lymphoid organ cDC2 and macrophages play complementary roles in T follicular helper responses.

Sample Metadata Fields

Subject

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accession-icon SRP159650
Single-cell RNA-seq analysis of human tonsil CD14+ cells
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 2500

Description

We performed single-cell RNA-seq on CD14+ cells isolated from the tonsils of one healthy donor. We used the 10x chromium technology. Overall design: Tonsil phagocytes were prepared by centrifugation on a Ficoll gradient. Dendritic cells and macrophages were enriched by negative selection using magnetic beads. Cell populations were further isolated by cell sorting. Cellular suspensions (3500 cells) were loaded on a 10X Chromium instrument (10X Genomics) according to manufacturer's protocol.

Publication Title

Human lymphoid organ cDC2 and macrophages play complementary roles in T follicular helper responses.

Sample Metadata Fields

Subject

View Samples
accession-icon SRP047171
Delineating Tumor-infiltrating Antigen Presenting Cell populations
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

The goal of this study is to compare tumor-infiltrating antigen presenting cell populations by global transcriptome profiling (RNA-seq) to help further delineate sub-populations of infiltrating myeloid cells in tumor. Methods: Four tumor antigen presenting cell populations were sorted from digested B78chOVA (melanoma variant) tumors in biological triplicate Results: RNA was extracted from the 4 groups (n=3 per group) and prepared for RNAseq. Sequencing yielded ~405 million reads with an average read depth of 33.7 million reads/sample. Reads were then aligned to the mouse genome (UCSC mm10) and those that mapped uniquely to known mRNAs were used to assess differential expression. Overall design: Examination of four tumor infiltrating myeliod populations

Publication Title

Dissecting the tumor myeloid compartment reveals rare activating antigen-presenting cells critical for T cell immunity.

Sample Metadata Fields

No sample metadata fields

View Samples
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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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