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accession-icon SRP192961
PD-1/PD-L1 checkpoint blockade harnesses monocyte-derived macrophages to combat cognitive impairment in a tauopathy mouse model
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Alzheimer's disease (AD) is a heterogeneous disorder with multiple etiologies. Harnessing the immune system by blocking the programmed cell death receptor (PD)-1 pathway in an amyloid beta mouse model was shown to evoke a sequence of immune responses that lead to disease modification. Here, blocking PD-L1, a PD-1 ligand, was found to have similar efficacy to that of PD-1 blocking in disease modification, in both animal models of AD and of tauopathy. Targeting PD-L1 in a tau-driven disease model resulted in increased immunomodulatory monocyte-derived macrophages within the brain parenchyma. Single cell RNA-seq revealed that the homing macrophages expressed unique scavenger molecules including macrophage scavenger receptor 1 (MSR1), which was shown here to be required for the effect of PD-L1 blockade in disease modification. Overall, our results demonstrate that immune checkpoint blockade targeting the PD-1/PD-L1 pathway leads to modification of common factors that go awry in AD and dementia, and thus can potentially provide an immunotherapy to help combat these diseases. Overall design: Cell populations were sorted with FACSAriaIII (BD Biosciences, San Jose, CA). Prior to sorting, all samples were filtered through a 40-µm nylon mesh. For the isolation of monocytes-derived macrophages, samples were gated for CD45high and CD11bhigh (Brilliant-violet-421, 1:150, 30-F11, Biolegend Inc. San Diego, CA; APC CD11b, 1:100, M1/70, eBioscience), while excluding doublets. Isolated cells were single cell sorted into 384-well cell capture plates containing 2?µL of lysis solution and barcoded poly(T) reverse-transcription (RT) primers for single-cell RNA-seq84. Four empty wells were designated in each 384-well plate as a no-cell control during data analysis. Immediately after sorting, each plate was spun down to ensure cell immersion into the lysis solution, snap frozen on dry ice, and stored at -80?°C until processing. Single-cell libraries were prepared as previously described73. In brief, mRNA from cells sorted into cell capture plates was barcoded, converted into cDNA, and pooled using an automated pipeline. The pooled sample was then linearly amplified by T7 in vitro transcription, and the resulting RNA was fragmented and converted into a sequencing-ready library by tagging the samples with pooled barcodes and Illumina sequences during ligation, RT, and PCR. Each pool of cells was tested for library quality, and concentration was assessed, as described73.

Publication Title

PD-1/PD-L1 checkpoint blockade harnesses monocyte-derived macrophages to combat cognitive impairment in a tauopathy mouse model.

Sample Metadata Fields

Age, Specimen part, Cell line, Treatment, Subject

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accession-icon SRP107339
Single cell RNA-seq identifies a unique microglia type associated with Alzheimer’s disease [RNA]
  • organism-icon Mus musculus
  • sample-icon 89 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Alzheimer''s disease (AD) is a detrimental neurodegenerative disease with no effective treatments. Due to cellular heterogeneity, the roles of immune cell subsets in AD onset and progression are poorly understood. By transcriptional single cell sorting, we comprehensively map all immune populations in wild type and AD–transgenic (Tg-AD) mouse brains. We describe a novel microglia type associated with neurodegenerative diseases (DAM) and identify the markers, spatial-location, and pathways associated with these cells. Immunohistochemical staining of mice and human brain slices showed DAM with intracellular/phagocytic Aß particles. Single cell analysis of DAM in Tg-AD and Trem2-/- Tg-AD revealed that the DAM program is activated in a two-step process. Activation is initiated in a Trem2 independent manner which involves down-regulation of microglia checkpoints, followed by activation of a Trem2-dependent program. These data identify a unique microglia-type, which may have important implications for future treatment of AD and other neurodegenerative diseases. Overall design: Transcriptional profiling of single cells from immune populations of mouse models of neurodegenerative diseases with matched controls, generated from deep sequencing of tens of thousands of cells, sequenced in several batches on illumina Nextseq500

Publication Title

A Unique Microglia Type Associated with Restricting Development of Alzheimer's Disease.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP105791
MEF2C restrains microglial responses to inflammatory stimuli and is reduced upon IFN-I in brain aging
  • organism-icon Mus musculus
  • sample-icon 58 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

RNA-Seq data of micoglia isolated from brains of indicated mouse types. Overall design: Microglia were collected from perfused brains of mice based on FACS markers CD11b+ CD45int to lysis buffer

Publication Title

Mef2C restrains microglial inflammatory response and is lost in brain ageing in an IFN-I-dependent manner.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP047126
Transcriptomic profiling of bone marrow cells from healthy individuals
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

We performed whole-genome transcriptomic profiling of RNA from mononuclear cells from bone marrow aspirates taken from healthy individuals. This study complements GSE58335: transcriptomic profiling of peripheral blood mononuclear cells from healthy individuals. Overall design: High-throughput sequencing was done using the Illumina GA IIx. The RNA is from previously published samples (Stirewalt et al., Genes Chromosomes Cancer, 2008, PMID:17910043)

Publication Title

Widespread intron retention diversifies most cancer transcriptomes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE60886
Molecular characterization of choroid plexus tumors reveals novel clinically relevant subgroups
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Molecular characterization of choroid plexus tumors reveals novel clinically relevant subgroups.

Sample Metadata Fields

Specimen part

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accession-icon GSE60892
Gene expression analysis of choroid plexus tumors
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Gene expression was assessed in a cohort of 40 choroid plexus tumors isolated from fresh-frozen tissue. We investigated unique expression patterns among tumor subgroups and refined the classification of choroid plexus tumors according to gene expression intensities.

Publication Title

Molecular characterization of choroid plexus tumors reveals novel clinically relevant subgroups.

Sample Metadata Fields

Specimen part

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accession-icon SRP043080
Transcriptomic profiling of peripheral blood mononuclear cells from healthy individuals
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Substantial effort is currently devoted to identifying cancer-associated alterations using genomics. Here, we show that standard blood collection procedures rapidly change the transcriptional and post-transcriptional landscapes of hematopoietic cells, resulting in biased activation of specific biological pathways, up-regulation of pseudogenes, antisense RNAs, and unannotated coding isoforms, and RNA surveillance inhibition. Affected genes include common mutational targets and thousands of other genes participating in processes such as chromatin modification, RNA splicing, T and B cell activation, and NF-?B signaling. The majority of published leukemic transcriptomes exhibit signals of this incubation-induced dysregulation, explaining up to 40% of differences in gene expression and alternative splicing between leukemias and reference normal transcriptomes. The effects of sample processing are particularly evident in pan-cancer analyses. We provide biomarkers that detect prolonged incubation of individual samples, and show that keeping blood on ice markedly reduces changes to the transcriptome. In addition to highlighting the potentially confounding effects of technical artifacts in cancer genomics data, our study emphasizes the need to survey the diversity of normal as well as neoplastic cells when characterizing tumors. This study is complemented by GSE61410: transcriptomic profiling of bone marrow cells from healthy individuals. Overall design: Peripheral blood mononuclear cells (PBMCs) were isolated from four healthy individuals, following an ex vivo incubation of variable length at either room temperature or on ice. RNA transcriptomes were measured using the Illumina HiSeq.

Publication Title

Sample processing obscures cancer-specific alterations in leukemic transcriptomes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE65738
Effect of over-expression of AR-V7 in MDA-MB-453 breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

The effect of transient transfection of a construct designed to over-express the androgen receptor (AR) variant AR-V7 on gene expression in MDA-MB-453 cells was assessed using Affymetrix Gene 2.0 ST arrays. Transfection of an AR-expressing construct or an empty construct served as controls.

Publication Title

Expression of androgen receptor splice variants in clinical breast cancers.

Sample Metadata Fields

Cell line

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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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