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accession-icon SRP068706
RNA-sequencing of single whole cells and nuclei from mouse dentate granule cells
  • organism-icon Mus musculus
  • sample-icon 201 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single-cell sequencing methods have emerged as powerful tools for identification of heterogeneous cell types within defined brain regions. Application of single-cell techniques to study the transcriptome of activated neurons can offer insight into molecular dynamics associated with differential neuronal responses to a given experience. Through evaluation of common whole-cell and single-nuclei RNA-sequencing (snRNA-seq) methods, here we show that snRNA-seq faithfully re-capitulates transcriptional patterns associated with experience-driven induction of activity, including immediate early genes (IEGs) such as Fos, Arc, and Egr1. SnRNA-seq of mouse dentate granule cells reveals large-scale changes in the activated neuronal transcriptome after brief novel environment exposure, including induction of MAPK pathway genes . In addition, we observe a continuum of activation states, revealing a pseudo-temporal pattern of activation from gene expression alone. In summary, snRNA-seq of activated neurons enables the examination of gene expression beyond IEGs,allowing for novel insights into neuronal activation patterns in vivo. Overall design: Examination of 1) 82 whole-cell (WC) dentate granule cells from a PTZ- or saline-treated mouse, and 2) 23 single-nuclei (SN) from dentate granule cells of a homecage (HC) mouse or 96 nuclei from a mouse exposed to a novel environment (NE)

Publication Title

Nuclear RNA-seq of single neurons reveals molecular signatures of activation.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE96849
SAGA Is a General Cofactor for RNA Polymerase II Transcription
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

The SAGA co-activator has been implicated in the regulation of a smal subset of genes in budding yeast in transcriptomic analyses performed in steady-state levels of RNA.

Publication Title

SAGA Is a General Cofactor for RNA Polymerase II Transcription.

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MTAB-454
Transcription profiling by array of HaCaT keratinocytes synchronised during the cell cycle and sampled at 3 hour intervals
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133B Array (hgu133b), Affymetrix Human Genome U133A Array (hgu133a)

Description

HaCat cell cycle experiment: During the somatic cell cycle, DNA and epigenetic modifications in DNA and histones are copied to daughter cells. DNA replication timing is tightly regulated and linked to GC content, chromatin structure, andgene transcription, but how maintenance of histone modifications relates to replication timing and transcription is less understood.The gene expression patters on HaCaT keratinocytes during the cell cycle is studied by a time series analysis of synchroniced cells sampled at 3 hour intervals. We show that genes enriched with the repressive chromatin mark histone H3 lysine 27 tri-methylation are transcribed during DNA replication . The gene expression is related to replication timing, as genes expressed during G1/S transition andearly S phase generally have higher GC content and are replicated earlier than genes expressed during late S phase. These results indicate widespread replication-dependent expression in mammals and support a role for replication in transiently activating transcription of epigenetically silenced genes.

Publication Title

Transcription profiling during the cell cycle shows that a subset of Polycomb-targeted genes is upregulated during DNA replication.

Sample Metadata Fields

Specimen part, Cell line, Time

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accession-icon GSE27859
Inflammation switches the differentiation program of Ly6Chi monocytes from anti-inflammatory macrophages to inflammatory dendritic cells in the colon
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Dendritic cells (DCs) and macrophages (MPs) are important for immunological homeostasis in the colon. We found that F4/80hi CX3CR1hi (CD11b+CD103-) cells account for 80% of mouse colonic lamina propria (cLP) MHC-IIhi cells. Both CD11c+ and CD11c- cells within this population were identified as MPs based on multiple criteria, including a MP transcriptome revealed by microarray analysis. These MPs constitutively released high levels of IL-10 at least partially in response to the microbiota via an MyD88-independent mechanism. In contrast, cells expressing low to intermediate levels of F4/80 and CX3CR1 were identified as DCs, based on phenotypic and functional analysis and comprise three separate CD11chi cell populations: CD103+CX3CR1-CD11b- DCs, CD103+CX3CR1-CD11b+ DCs and CD103-CX3CR1intCD11b+ DCs. In non-inflammatory conditions, Ly6Chi monocytes differentiated primarily into CD11c+, but not CD11c- MPs. In contrast, during colitis, Ly6Chi monocytes massively invaded the colon and differentiated into pro-inflammatory CD103-CX3CR1intCD11b+ DCs, which produced high levels of IL-12, IL-23, iNOS and TNF. These findings demonstrate the dual capacity of Ly6Chi blood monocytes to differentiate into either regulatory MPs or inflammatory DCs in the colon, and that the balance of these immunologically antagonistic cell types is dictated by microenvironmental conditions.

Publication Title

Inflammation switches the differentiation program of Ly6Chi monocytes from antiinflammatory macrophages to inflammatory dendritic cells in the colon.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE84894
Expression data from starved first larval stage of wildtype and hyl-1(ok976); lagr-1(gk327) C. elegans
  • organism-icon Caenorhabditis elegans
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Our understanding of cellular mechanisms by which animals regulate their response to starvation is limited despite the close relevance of the problem to major human health issues. L1 diapause of Caenorhabditis elegans, where newly hatched first stage larval arrested in response to food-less environment, is an excellent system to study the problem. We found through genetic manipulation and lipid analysis that ceramide biosynthesis, particularly those with longer fatty acid side chains, critically impacts animal survival during L1 diapause. Genetic and expression analyses indicate that ceramide likely regulate this response by affecting gene expression and activity in multiple regulatory pathways known to regulate starvation-induced stress, including the insulin-IGF-1 signaling (IIS) pathway, Rb and other pathways that mediate pathogen/toxin/oxidative stress responses. These findings provide an important insight into the roles of sphingolipid metabolism in not only starvation response but also aging and food-response related human health problems.

Publication Title

Starvation-Induced Stress Response Is Critically Impacted by Ceramide Levels in Caenorhabditis elegans.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE26982
Integrative DNA methylation and gene expression analyses identify DNA packaging and epigenetic regulatory genes associated with low motility sperm
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrative DNA methylation and gene expression analyses identify DNA packaging and epigenetic regulatory genes associated with low motility sperm.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP024271
Identification of zygotically transcribed genes in zebrafish by 4-thio-UTP metabolic labeling
  • organism-icon Danio rerio
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The first embryonic cell divisions rely on maternally stored mRNA and proteins. The zygotic genome is initially transcriptionally silenced and activated later in a process called zygotic genome activation (ZGA). ZGA in any species is still a poorly understood process; the timing of transcription onset is controversial and the identity of the first transcribed genes unclear. Zebrafish, Danio rerio, is a rapidly developing vertebrate model, which is accessible to experimentation and global studies before, during and after ZGA. Overall design: To accurately determine the onset of ZGA and to identify the first transcripts in zebrafish, we developed a metabolic labeling method, utilizing the ribonucleotide analog 4-thio-UTP, which allows efficient and specific affinity purification of newly transcribed RNA. Using deep sequencing, we characterized the onset of transcription in zebrafish embryos at 128-, 256-, and 512-cell stages. We identified 592 nuclear-encoded zygotically transcribed genes, comprising 670 transcript isoforms. Mitochondrial genomes were highly transcribed at all time points. Further, bioinformatic analysis revealed an enrichment of transcription factors and miRNAs among the newly transcribed genes, suggesting mechanistic roles for the early genes that are required to activate subsequent gene expression programs in development. Interestingly, analysis of gene-architecture revealed that zygotically transcribed genes are often intronless and short, reducing transcription and processing time of the transcript. The newly generated dataset enabled us to compare zygotically transcribed genes over a broad phylogenetic distance with fly and mouse early zygotic genes. This analysis revealed that short gene length is a common characteristic for early zygotically expressed genes. However, we detected a poor level of overlap for shared orthologs.

Publication Title

The earliest transcribed zygotic genes are short, newly evolved, and different across species.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE20007
Transcriptional profiles underlying parent-of-origin effects in seeds of Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptional profiles underlying parent-of-origin effects in seeds of Arabidopsis thaliana.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE20005
Parent-of-origin effects in seeds of Arabidopsis thaliana: Affymetrix
  • organism-icon Arabidopsis thaliana
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Crossing plants of the same species but different ploidies can have dramatic effects on seed growth, but little is known about the alterations to transcriptional programmes responsible for this. Parental genomic imbalance particularly affects proliferation of the endosperm, with an increased ratio of paternally to maternally contributed genomes (paternal excess) associated with overproliferation, while maternal excess inhibits endosperm growth. One interpretation is that interploidy crosses disrupt the balance in the seed of active copies of parentally imprinted genes. This is supported by the observation that mutations in imprinted FIS-class genes of Arabidopsis thaliana share many features of the paternal excess phenotype. Here we investigated gene expression underlying parent-of-origin effects in Arabidopsis through transcriptional profiling of siliques generated by interploidy crosses and FIS-class mutants.

Publication Title

Transcriptional profiles underlying parent-of-origin effects in seeds of Arabidopsis thaliana.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE43798
Microarray of cardiac biventricle from PGC-1a-/-bf/f/MerCre mice
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The following abstract from the submitted manuscript describes the major findings of this work.

Publication Title

A role for peroxisome proliferator-activated receptor γ coactivator-1 in the control of mitochondrial dynamics during postnatal cardiac growth.

Sample Metadata Fields

Specimen part

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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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