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 SRP064121
Histone Demethylase-Assisted Somatic Cell Nuclear Transfer Facilitates Derivation of Human Pluripotent Stem Cells
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

The extremely low efficiency of human embryonic stem cell (hESC) derivation using somatic cell nuclear transfer (SCNT) limits potential application. Blastocyst formation from human SCNT embryos occurs at a low rate and with only some oocyte donors. We previously showed in mice that reduction of histone H3 lysine 9 trimethylation (H3K9me3) through ectopic expression of the H3K9me3 demethylase Kdm4d greatly improves SCNT embryo development. Here we show that overexpression of a related H3K9me3 demethylase KDM4A improves human SCNT, and that, as in mice, H3K9me3 in the human somatic cell genome is an SCNT reprogramming barrier. Overexpression of KDM4A significantly improves the blastocyst formation rate in human SCNT embryos by facilitating transcriptional reprogramming, allowing derivation of NTESCs from all oocyte donors tested using adult AMD patient somatic nuclei donors. This conserved mechanistic insight has potential applications for improving SCNT in a variety of contexts, including regenerative medicine. Overall design: Here we perform RNA-seq based transcriptome profiling in human Donor (fibroblast cells), in vitro fertilized embryos at 8-cell stages (IVF_8Cell), somatic cell nuclear transfer embryos at 8-cell stages (SCNT_8Cell), SCNT assisted by KDM4A 8-cell embryos (SCNT_KDM4A_8Cell). Besides, we also perform RNA-seq in Control human ES cells (CTR_hES) and SCNT assisted by KDM4A derived human ES cells (NTK) with duplicates. 

Publication Title

Histone Demethylase Expression Enhances Human Somatic Cell Nuclear Transfer Efficiency and Promotes Derivation of Pluripotent Stem Cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP059035
Single-cell RNA sequencing of lung adenocarcinoma patient-derived cells
  • organism-icon Homo sapiens
  • sample-icon 201 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

To address how intratumoral heterogeneity affects anti-cancer drug responses, we profiled transcriptomes of single cancer cells originating from lung adenocarcinoma patient-derived xenograft (PDX) tumors. Overall design: We performed single-cell RNA sequencing (scRNA-Seq) together with bulk sequencing by applying Smart-Seq protocol (Ramsköld et al., Nat Biotechnol 2012). Enrichment of cancer cells in PDX from primary tumor (LC-PT-45: bulk RNA-Seq, n=1) was identified by histopathological examination and genomic signatures. Tumor cell-enriched PDX cells (LC-PT-45: scRNA-Seq, n=34; bulk RNA-Seq, n=9) were analyzed, and additional batch (LC-Pt-45-Re: scRNA-Seq, n=43; bulk RNA-Seq, n=7) was obtained to check comparable results. H358 human lung cancer cells (scRNA-Seq, n=50; bulk RNA-Seq, n=1) were used as cell line controls. Another lung cancer PDX case (LC-MBT-15: scRNA-Seq, n=49; bulk RNA-Seq, n=7) was prepared to validate our analytical strategy applied in the LC-PT-45 case.

Publication Title

Single-cell mRNA sequencing identifies subclonal heterogeneity in anti-cancer drug responses of lung adenocarcinoma cells.

Sample Metadata Fields

No sample metadata fields

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