refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing 3 of 3 results
Sort by

Filters

Technology

Platform

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

View Samples
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

View Samples
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

View Samples
Didn't see a related experiment?

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact