refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing 2 of 2 results
Sort by

Filters

Technology

Platform

accession-icon SRP029592
RNA-seq transcriptomes of term not in labour and term in labour human myometrial tissue
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Purpose: To chart the human myometrial transcriptomes before and after the onset of labour. Methods: Tophat splice junction mapping of paired-end reads, HTSeq to generate counts, cufflinks to track transcripts, DESeq, edgeR and baySeq to detect differentially expressed genes and principal component analysis for clustering analyses. Results: We mapped on average 14 million paired-end reads per sample (counting each end individually) to the human genome (build hg19) and covered the expressed transcriptome about 13 times with a TopHat-HTSeq workflow. We performed a comparative analysis with an analogous microarray study (Mittal et al., 2010) and found some overlap between the RNA-seq and the microarray data. Conclusions: Our study is the first RNA-seq study of the human myometrium before and after the onset of labour. We show that while microarray and RNA-seq studies may complement each other, RNA-seq has a much greater resolution. Overall design: At term with and at term without labour human myometrial mRNA profiles were generated by deep sequencing, using Illumina GAIIx (five biological replicates each).

Publication Title

Reconstruction of Cell Surface Densities of Ion Pumps, Exchangers, and Channels from mRNA Expression, Conductance Kinetics, Whole-Cell Calcium, and Current-Clamp Voltage Recordings, with an Application to Human Uterine Smooth Muscle Cells.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP142610
Measuring A-to-I RNA editing and gene expression signatures of neuronal populations within the Drosophila brain
  • organism-icon Drosophila melanogaster
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We used an improved INTACT (Isolation of Nuclei Tagged in A specific Cell Type) technique to isolate RNA from purified nuclei from different neuronal populations of the Drosophila brain. Using RNA-seq, we determined gene expression and A-to-I RNA editing levels at editing sites across nine distinct neuronal sub-populations and a pan-neuronal control. Overall design: We crossed UAS-unc84-2XGFP transgenic flies with 10 different GAL4 drivers (Dh44-GAL4, NPF-GAL4, NPFR-GAL4, Tdc2-GAL4, Crz-GALl4, TH-GAL4, Trh-GAL4, Fru-GAL4, OK107-GAL4, and elav-GAL4), immunoprecipitated tagged nuclei and extracted RNA. Three independent replicates of each each cross were performed to isolate RNA for RNA-sequencing.

Publication Title

Illuminating spatial A-to-I RNA editing signatures within the <i>Drosophila</i> brain.

Sample Metadata Fields

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