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Series GSE109444 Query DataSets for GSE109444
Status Public on Feb 19, 2018
Title High throughput quantitative whole transcriptome analysis of adult mouse distal lung mesenchyme
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary We used microfluidic single cell RNA-seq on 47 individual mouse lung mesenchymal cells at adulthood to measure the transcriptional state. We were able to classify these cells into distinct populations as well as map their signaling interactions with the distal lung epithelium and endothelium. In this manner, single cell RNA-seq can be used to unbiasedly determine the signals the dictate construction and maintenance of the alveolus.
 
Overall design 47 single-cell transcriptomes from adult mouse lung mesenchyme were analyzed in total and one 200-cell bulk control sample; All single cell and control samples contain 92 external RNA spike-ins; In a single adult timepoint, 47 transcriptomes were isolated; In addition, a 200-cell bulk control sample was prepared for this adult timepoint;All single cell samples were processed on the microfluidic platform, 200-cell-bulk control sample was processed in microliter volumes in PCR tubes.
 
Contributor(s) Brownfield DG
Citation(s) 29420258, 36414616
Submission date Jan 19, 2018
Last update date Dec 09, 2022
Contact name Mark Krasnow
Organization name Stanford University
Street address Beckman Center, B400 279 W. Campus Dr.
City Stanford
State/province Ca
ZIP/Postal code 94305
Country USA
 
Platforms (1)
GPL13112 Illumina HiSeq 2000 (Mus musculus)
Samples (48)
GSM2943007 1_L28_C83
GSM2943008 1_L28_C60
GSM2943009 1_L28_C19
Relations
BioProject PRJNA430888
SRA SRP131061

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE109444_RAW.tar 28.7 Mb (http)(custom) TAR (of FPKM_TRACKING)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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