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accession-icon SRP042027
Noninvasive in vivo monitoring of tissue-specific global gene expression in humans
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII, IlluminaHiSeq2000

Description

Circulating cell-free RNA in the blood provides a potential window into the health, phenotype, and developmental programs of a variety of human organs. We used high-throughput methods of RNA analysis such as microarrays and next-generation sequencing to characterize the global landscape of circulating RNA in human subjects. By focusing on tissue-specific genes, we were able to identify the relative contributions of these tissues to circulating RNA and monitor changes during tissue development and neurodegenerative disease states.

Publication Title

Noninvasive in vivo monitoring of tissue-specific global gene expression in humans.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE56899
Microarray Data of cell-free RNA across pregnancy time course
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Circulating cell-free RNA in the blood provides a potential window into the health, phenotype, and developmental programs of a variety of human organs. We employed high throughput methods of RNA analysis such as microarrays and next-generation sequencing to characterize the global landscape circulating RNA in a cohort of human subjects. By focusing on genes whose expression is highly specific to certain tissues, we were able to identify the relative contributions of these tissues to circulating RNA, and to monitor changes in tissue development and health.

Publication Title

Noninvasive in vivo monitoring of tissue-specific global gene expression in humans.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP170963
Deep single-cell RNAseq of postnatal day 7 microglia from wild type and Trem2 knockout brains
  • organism-icon Mus musculus
  • sample-icon 365 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We generated single-cell RNAseq profiles of 369 microglia (183 from wild type and 186 from Trem2 knock-out), sorted in the gate CD45lowCD11+ or CD45lowCD11+Gpnmb+Clec7a+ (PAM enrichment), to compare gene expression of wild type vs. Trem2 knock-out microglia on the postnatal day 7. Single cells were FACS index sorted from the whole brain followed by Smart-seq2 library preparation and Illumina Nextseq (sequence depth > 1 million per cell). A total of 334 cells passed quality control for data analysis. Microglia in the Trem2 knock-out contained a similar PAM population with characteristic gene expression, suggesting that the presence of early postnatal PAM do not depend on TREM2. Overall design: Single microglia were FACS sorted from male animals (C57BL/6J background) into 96-well plates. Libraries were prepared with a semi-automated Smart-seq2 protocol. Three QC criteria were used (Y=passed, N=not passed), and only cells that passed all three criteria were used for downstream analysis.

Publication Title

Developmental Heterogeneity of Microglia and Brain Myeloid Cells Revealed by Deep Single-Cell RNA Sequencing.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP170964
Deep single-cell RNAseq of Gpnmb+Clec7a+ microglia from postnatal day 7 cerebellum
  • organism-icon Mus musculus
  • sample-icon 143 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We generated single-cell RNAseq profiles of 143 microglia, sorted in the gate CD45lowCD11+Gpnmb+Clec7a+, from postnatal day 7 cerebellum to validate the newly identified “proliferative region-associated microglia (PAM)” (Gpnmb and Clec7a are PAM surface markers). Single cells were FACS index sorted followed by Smart-seq2 library preparation and Illumina Nextseq (sequence depth > 1 million per cell). These cells showed characteristic PAM gene expression and clustered together with other PAM cells sequenced in the same study. Overall design: Single microglia were FACS sorted from pooled male animal samples (C57BL/6N) into 96-well plates. Libraries were prepared with a semi-automated Smart-seq2 protocol. All 143 cells passed the three QC criteria (Y=passed).

Publication Title

Developmental Heterogeneity of Microglia and Brain Myeloid Cells Revealed by Deep Single-Cell RNA Sequencing.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE50254
Integration of toxicological end points with molecular measurements in a 28-day rat repeated dose inhalation study with cigarette smoke provides mechanistic understanding of smoke impact
  • organism-icon Rattus norvegicus
  • sample-icon 75 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Demonstration of reduced biological effects with a prototypic modified risk tobacco product.

Publication Title

A 28-day rat inhalation study with an integrated molecular toxicology endpoint demonstrates reduced exposure effects for a prototypic modified risk tobacco product compared with conventional cigarettes.

Sample Metadata Fields

Sex, Specimen part, Treatment

View Samples
accession-icon SRP170960
Bulk RNA-seq of adult homeostatic microglia from 4 brain regions
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

To compare microglial regional heterogeneity, we generated bulk RNA-seq profiles of postnatal day 60 microglia, sorted by TMEM119+ (also CD45lowCD11b+), from cortex (CTX), cerebellum (CB), hippocampus (HIP), striatum (STR) regions. For each sample, 3000 microglia were FACS sorted into RLT lysis buffer for total RNA extraction, followed by Smart-seq library preparation and Illumina Nextseq (sequence depth 10-20 million per sample). Consistent with our scRNA-seq data, samples from 4 regions were highly correlated (R>0.99), and individual samples did not cluster according to tissue origins, suggesting striking similarities between homeostatic microglia from different brain regions. Moreover, we could not detect any differentially expressed genes (FDR < 0.05) between regions from the bulk samples. These data suggest that classical adult microglia with homeostatic signatures (e.g. Tmem119), as the most dominant microglial population in the healthy brain, have little transcriptomic heterogeneity across brain regions. Overall design: TMEM119+ microglia (3000 cells each sample) from a given region were FACS sorted from pooled male animal samples (C57BL/6N) into RLT lysis buffer in Eppendorf tubes. Three replicates were done for each region. Libraries were prepared following the Smart-seq protocol (v4 ultra low input RNA kit). All samples were barcoded and pooled together for Illumina Nextseq sequencing.

Publication Title

Developmental Heterogeneity of Microglia and Brain Myeloid Cells Revealed by Deep Single-Cell RNA Sequencing.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP187109
RNA-seq of microglia isolated from aged mice treated with IgG or anti-CD22.
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Sequencing data related to the manuscript entitled, "CD22 blockade restores homeostatic microglial phagocytosis in the aging brain." Overall design: To assess the transcriptional effects of CD22 blockade, we implanted aged mice with osmotic pumps to continuously infuse a CD22 blocking antibody or an IgG control antibody directly into the cerebrospinal fluid for one month. Following one month of continuous infusion, we performed RNA-seq on purified microglia from the hemi-brains of these mice contralateral to the cannulation site to minimize injury-induced confounding factors. Primary mouse microglia were isolated by gentle dounce homogenization of the brain, magentic myelin removal, and FACS-purification of ~20,000 live CD11b+CD45lo cells. Microglia were sorted into RLT Plus buffer (Qiagen) containing beta-mercaptoethanol. RNA was extracted using a RNeasy Micro Plus kit (Qiagen) according the manufacturer's protocol. RNA integrity was assessed on a Bioanalyzer (Agilent), and high quality samples were used for library preparation. cDNA synthesis and amplification was performed using the SmartSeq v4 Ultra-low input kit (Takara), and libraries were tagmented, adaptor ligated, and indexed using the Nextera XT kit (Illumina). After normalization and pooling, libraries were sequenced on a Hiseq 4000 (Illumina) using paired-end 100bp reads. Raw sequencing files were demultiplexed with bcl2fastq, reads were aligned using STAR, the count matrix was generated using SummarizedExperiment, and differential expression analysis was performed using DESeq2 with standard settings.

Publication Title

CD22 blockade restores homeostatic microglial phagocytosis in ageing brains.

Sample Metadata Fields

Age, Cell line, Subject

View Samples
accession-icon GSE32317
Gene expression in synovial membranes from patients with early and end-stage osteoarthritis
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Osteoarthritis is characterized by degeneration of cartilage and bone in the synovial joints. Recent findings suggest that inflammation may play a role in osteoarthritis, with synovitis being associated with the clinical symptoms of osteoarthritis. Furthermore, we have found that levels of inflammatory complement components are abnormally high in the synovial fluid of individuals with osteoarthritis.

Publication Title

Identification of a central role for complement in osteoarthritis.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE17654
Analysis of Gene Expression in PTHrP-/- Mammary Buds
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Analysis of Gene Expression in PTHrP-/- Mammary Buds Supports a Role for BMP Signaling and MMP2 in the Initiation of Ductal Morphogenesis.

Publication Title

Analysis of gene expression in PTHrP-/- mammary buds supports a role for BMP signaling and MMP2 in the initiation of ductal morphogenesis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP006561
RNA-seq experiments in human neural crest cells (hNCC)
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIlluminaGenomeAnalyzer

Description

Combining an in vitro hNCC differentiation protocol with epigenomic profiling, we provide the first whole-genome characterization of cis-regulatory elements in this highly relevant cell type. With this data at hand, we have characterized the chromatin state and dynamics of all human gene promoters during the course of NCC in vitro differentiation. Most importantly, we have identified a large cohort of active and NCC-specific enhancers, which we showed to be functionally relevant in vivo, in the context of embryonic development. Finally, through sequence analysis of the identified NCC enhancers, we uncovered the orphan nuclear receptors NR2F1 and NR2F2 as novel hNCC transcriptional regulators both in vitro and in vivo. Overall design: RNA-seq experiments in human neural crest cells (hNCC)

Publication Title

Epigenomic annotation of enhancers predicts transcriptional regulators of human neural crest.

Sample Metadata Fields

No sample metadata fields

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

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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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