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Sample GSM1684390 Query DataSets for GSM1684390
Status Public on Sep 04, 2015
Title NPC_Mel18
Sample type SRA
 
Source name Neural progenitor cells
Organism Mus musculus
Characteristics cell line: Neural progenitor cells
treatment: Mel18 knockdown
Treatment protocol In our hands, generation of highly‐enriched population of MES cells was strongly influenced both by the dose and the batch of BMP4. We performed full cardiomyocyte differentiation experiments using 32 different amounts of BMP4 from 0.1 to 0.8 ng/ml with every purchased BMP4. Typically, we obtained the best differentiation results with 0.1–0.3 ng/ml of BMP4. We also noticed that the amount of MES cells seeded to obtain cardiac precursor cells (CP) was crucial to obtain a high percentage of beating cardiomyocytes, with the best results obtained when 125,000–150,000 MES cells were seeded in a 96-well plate.
Growth protocol E14Tg2A cells were cultured as previously described (Morey et al., 2012) in 2i media supplemented with LIF produced in house) as previously described (Ying et al., 2003) for at least two weeks (8 passages). We took advantage of a recently reported protocol for differentiating ESC into a highly homogenous population of beating cardiomyocytes (CM) (Kattman et al., 2011). Interestingly, this protocol also permits early steps of cardiac differentiation, like formation of early cardiac-mesoderm precursors cells (MES) and cardiac precursor (CP) cells, to be studied.
Extracted molecule total RNA
Extraction protocol Chromatin from ESC and MES was immunoprecipitated with 5 ug of antibody as described in Morey et al 2012. RNA was extracted with the RNA extraction kit (QIAGEN).
Libraries were prepared according to Illumina instructions.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina HiSeq 2000
 
Description (RNAseq) Mel18 Knock-Down
Data processing ChIPseq analysis: Alignment: Sequence reads were mapped to the Mouse genome (mm9, July 2007) using BOWTIE (PubMed ID 19261174) with the option -m 1. RNAseq analysis: Alignment: The reads were mapped against the mm9 mouse genome assembly using TopHat (PubMed ID 22383036) with the option ‐g 1.
Peak-calling: Peak detection was performed with MACS (PubMed ID: 18798982). ChIP profiles were produced by MACS in BedGraph. Peaks were reported in BED format.
Genome_build: mm9
Supplementary_files_format_and_content: NPC_CTR_sense.bedgraph (BedGraph, genome-wide RNAseq profile)
Supplementary_files_format_and_content: NPC_CTR_antisense.bedgraph (BedGraph, genome-wide RNAseq profile)
Supplementary_files_format_and_content: NPC_Mel18_sense.bedgraph (BedGraph, genome-wide RNAseq profile)
Supplementary_files_format_and_content: NPC_Mel18_antisense.bedgraph (BedGraph, genome-wide RNAseq profile)
 
Submission date May 13, 2015
Last update date May 15, 2019
Contact name Enrique Blanco
E-mail(s) enrique.blanco@crg.eu
Phone +34 93 316 01 00
Organization name Center for Genomic Regulation (CRG)
Department Gene Regulation, Stem Cells and Cancer
Lab Epigenetic Events in Cancer (L. Di Croce's lab)
Street address Dr. Aiguader 88
City Barcelona
ZIP/Postal code 08003
Country Spain
 
Platform ID GPL13112
Series (1)
GSE67868 The Polycomb protein Pcgf2/Mel18 regulates mesoderm cell fate-specification of embryonic stem cells through multiple mechanisms
Relations
BioSample SAMN03657193
SRA SRX1026414

Supplementary file Size Download File type/resource
GSM1684390_NPC_Mel18_antisense.bedgraph.gz 3.7 Mb (ftp)(http) BEDGRAPH
GSM1684390_NPC_Mel18_sense.bedgraph.gz 3.8 Mb (ftp)(http) BEDGRAPH
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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