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Sample GSM1524285 Query DataSets for GSM1524285
Status Public on Aug 19, 2015
Title Whole Organoid, Replicate 1, Sample II, Lane 2
Sample type SRA
 
Source name Randomly extracted cells from whole intestinal organoids
Organism Mus musculus
Characteristics strain/background: C57BL/6
genotype/variation: wild-type
tissue: small intestinal crypts
cell type: single cell from whole intestinal organoids
Growth protocol Crypts were isolated from mouse small intestine, pelleted and mixed with Matrigel (BD). After polymerisation of the Matrigel, growth medium (Advanced DMEM/F12, supplemented with Glutamine, Pennicillin/Streptomycin, Hepes, B27-supplement, N-acetylcysteine, human EGF, RspoI and Noggin) was added. Organoids were passed weekly, with dilution of 1:4.
Extracted molecule total RNA
Extraction protocol Organoids were dissociated into single-cell suspension using TrypleE enzyme mix. The cells were pelleted and resuspended in F12 medium with 5 to 10% serum. Primary cells were harvested from freshly isolated small intestines. Crypts were released using PBS0/EDTA followed by Trypsin dissociation. Single cells were FACS-sorted into 96-well plates, containing 100ul Trizol reagent and 0.03ul of 1:50.000 diluted Spike-In RNA. Total RNA was isolated according to the manufacturer's instructions, with the following alterations. RNA was precipitated overnight at -20 °C, with 2ug glycogen.
Single cells were processed using the previously described CEL-seq technique, with a few alterations. A 4bp random barcode as unique molecular identifier (UMI) was added to the primer in between the cell specific barcode and the poly T stretch. RNA pellets were dissolved in primer mix and incubated for 2 minutes at 70 °C. Libraries were sequenced on an Illumina HighSeq 2500 using 50bp paired end sequencing or Illumina NextSeq 500 using 75bp paired end sequencing.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina HiSeq 2500
 
Description Sample name: Organoid4
Data processing Paired-end reads obtained by CEL-Seq were aligned to the transcriptome using bwa (version 0.6.2-r126) with default parameters. The transcriptome contained all RefSeq gene models based on the mouse genome release mm10 downloaded from the UCSC genome browser and contained 31,109 isoforms derived from 23,480 gene loci. All isoforms of the same gene were merged to a single gene locus. The right mate of each read pair was mapped to the ensemble of all gene loci and to the set of 92 ERCC spike-ins in sense direction. Reads mapping to multiple loci were discarded. The left read contains the barcode information: the first eight bases correspond to the cell-specific barcode followed by 4 bases representing the unique molecular identifier. The remainder of the left read contains a polyT stretch followed by few (<15 transcript derived bases). The left read was not used for quantification. For each cell barcode we counted the number of unique molecular identifiers for every transcript and aggregated this number across all transcripts derived from the same gene locus. Based on binomial statistics, we converted the number of observed unique molecular identifiers into transcript counts.
Genome_build: GRCm38 (mm10)
Supplementary_files_format_and_content: GSE62270_data_counts_Whole_Organoid_Replicate_1.txt: Processed data for Whole Organoid Replicate 1 Samples (Sample names: Organoid1 to 6). Tab-separated data file listing all genes (rows) and the number of sequenced transcripts for all samples. Column names indicate the number of the experiment (the 96-well plate cells were sorted into) and the cell barcode number, separated by an underscore. The first column lists the official gene symbol followed by the chromosome name, separated by a double underscore.
Supplementary_files_format_and_content: GSE62270_data_counts_Whole_Organoid_Replicate_2.txt: Processed data for Whole Organoid Replicate 2 (Sample names: Organoid7 to 14). Tab-separated data file listing all genes (rows) and the number of sequenced transcripts for all samples. Column names indicate the number of the experiment (the 96-well plate cells were sorted into) and the cell barcode number, separated by an underscore. The first column lists the official gene symbol followed by the chromosome name, separated by a double underscore.
Supplementary_files_format_and_content: GSE62270_data_counts_Reg4_positive_cells_Replicate_1.txt: Processed data for Reg4-positive cells Replicate 1 (Sample names: Reg1 to 6). Tab-separated data file listing all genes (rows) and the number of sequenced transcripts for all samples. Column names indicate the number of the experiment (the 96-well plate cells were sorted into) and the cell barcode number, separated by an underscore. The first column lists the official gene symbol followed by the chromosome name, separated by a double underscore.
Supplementary_files_format_and_content: GSE62270_data_counts_Reg4_positive_cells_Replicate_2.txt: Processed data for Reg4-positive cells Replicate 2 (Sample names: Reg7 to 8). Tab-separated data file listing all genes (rows) and the number of sequenced transcripts for all samples. Column names indicate the number of the experiment (the 96-well plate cells were sorted into) and the cell barcode number, separated by an underscore. The first column lists the official gene symbol followed by the chromosome name, separated by a double underscore.
Supplementary_files_format_and_content: 96BC.txt: Tab-separated data file containing all cell-specific barcodes. First column contains barcode number and second column contains barcode sequence.
 
Submission date Oct 10, 2014
Last update date May 15, 2019
Contact name Dominic Grün
E-mail(s) gruen@ie-freiburg.mpg.de
Phone +491791073352
Organization name Max Planck Institute of Immunobiology and Epigenetics
Street address Stübeweg 51
City Freiburg
ZIP/Postal code 79108
Country Germany
 
Platform ID GPL17021
Series (1)
GSE62270 Single-Cell mRNA Sequencing Reveals Rare Intestinal Cell Types
Relations
BioSample SAMN03104680
SRA SRX731096

Supplementary data files not provided
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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