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Series GSE79866 Query DataSets for GSE79866
Status Public on Apr 08, 2016
Title In silico lineage tracing through single cell transcriptomes identifies a neural stem cell population in planarians
Organism Schmidtea mediterranea
Experiment type Expression profiling by high throughput sequencing
Summary Background: The planarian, Schmidtea mediterranea, is a master regenerator with a large adult stem cell compartment. The lack of transgenic labeling techniques in this animal have hindered the study of lineage progression and has made understanding the mechanisms of tissue replacement during regeneration a challenge. However, recent advances in single cell transcriptomics and analysis methods may allow for the discovery of novel cell lineages as differentiation progresses from stem cell to terminally differentiated cell. Here we apply Waterfall analysis and single cell transcriptomics to identify adult stem cells belonging to specific cellular lineages and identify novel candidate genes for future in vivo lineage studies. Results: Single-cell-RNA-deep sequencing (scRNAseq) of 168 purified single stem and progeny cells from the planarian head was used to identify a molecularly distinct, neural stem cell population (νNeoblasts). Hierarchical clustering revealed 10 distinct subgroups and pseudotime analysis with Waterfall predicted a neural lineage trajectory as well as a novel alternative lineage. Previously undescribed neural lineage genes identified in silico were characterized in vivo and were shown to have neural expression patterns. Using the predicted νNeoblast markers, we demonstrate that a novel piwi-2+piwi-1lo stem cell population exists adjacent to the brain and immediately takes up BrdU. Conclusions: scRNAseq coupled with in silico lineage analysis offers a new approach for studying lineage progression in planarians. The lineages identified here were extracted from a highly heterogeneous dataset with minimal prior knowledge of planarian lineages, demonstrating that lineage purification by transgenic labelling is not a prerequisite for this approach. The identification of the νNeoblast lineage demonstrates the usefulness of the planarian system for computationally predicting cellular lineages in an adult context coupled with in vivo verification.
 
Overall design Cells from the heads of 30 animals were FACS sorted to obtain 96 single X1s and 72 single X2s and cDNA was prepared from poly-A+ mRNA for each cell using Smartseq2 and deep sequenced to a depth of 5M reads, as illustrated in Figure 1A of the manuscript. cDNA from two X1 and 1 X2 bulk tube controls of 200 cells each was prepared using the same protocol and sequenced to a depth of 10-20M reads each.
 
Contributor(s) Molinaro AM, Pearson BJ
Citation(s) 27150006
Submission date Apr 04, 2016
Last update date May 15, 2019
Contact name Bret J Pearson
E-mail(s) pearsobr@ohsu.edu
Organization name Oregon Health and Science University
Department Pediatrics
Lab Pearson
Street address 3181 SW Sam Jackson Park Rd., BRB Room 305
City Portland
State/province OR
ZIP/Postal code 97239
Country USA
 
Platforms (2)
GPL20150 Illumina HiSeq 2500 (Schmidtea mediterranea)
GPL21689 Illumina NextSeq 500 (Schmidtea mediterranea)
Samples (171)
GSM2107438 Wildtype head 200 X1s 1
GSM2107439 Wildtype head 200 X1s 2
GSM2107440 Wildtype head 200 X2s
Relations
BioProject PRJNA317292
SRA SRP072822

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Supplementary file Size Download File type/resource
GSE79866_Molinaro_NCBI_normalizedcounts.txt.gz 3.8 Mb (ftp)(http) TXT
GSE79866_Molinaro_NCBI_rawcounts.txt.gz 2.0 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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