github link
Accession IconSRP190212

Complete deconvolution of cellular mixtures based on linearity of transcriptional signatures

Organism Icon Homo sapiens
Sample Icon 14 Downloadable Samples
Technology Badge IconIllumina HiSeq 2500

Submitter Supplied Information

Description
Difference in RNA content of different cell types introduces bias to gene expression deconvolution methods. If ERCC spike-ins are introduced into samples, predicted proportions of deconvolution methods can be corrected Overall design: Two cell types of distinctly different sizes and RNA per cell content: HEK cells and Jurkat cells were mixed in different proportions ensuring that each mixture contained total of one million cells. We sequenced RNA of the samples (including ERCC spike-in controls to 382 be able to control for the absolute RNA-concentration).
PubMed ID
Total Samples
14
Submitter’s Institution
No associated institution

Samples

Show of 0 Total Samples
Filter
Add/Remove
Accession Code
Title
Cell line
Subject
Processing Information
Additional Metadata
No rows found
Loading...