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Series GSE256138 Query DataSets for GSE256138
Status Public on Mar 01, 2024
Title Self-organization of pluripotent stem cells into reproducible early embryonic developmental patterns through epigenome editing
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary During embryonic development, different embryonic cell types co-develop together where each cell type expresses specific fate-inducing transcription factors through activation of developmental non-coding regulatory elements and interactions with neighboring cells. Here, we hypothesized that cell-intrinsic activation of a minimum number of such endogenous regulatory elements is sufficient to self-organize PSCs into early embryonic models. Our results show that CRISPR activation of only two regulatory elements in the genome of pluripotent stem cells is sufficient to generate embryonic patterns that show spatial and molecular resemblance to that of pre-gastrulation mouse embryonic development. Quantitative single-cell live fluorescent imaging showed that emergence of the spatially-ordered embryonic pattern happens through intrinsic induction of cell fate that leads to an orchestrated collective cellular motion. Based on these results, we propose a straightforward approach to efficiently form 3D embryo models through intrinsic CRISPRa-based epigenome editing and independent of external signaling cues. CRISPRa-induced embryo models show highly consistent composition of major embryonic cell types that are spatially organized, with nearly 80% of the structures forming an embryonic cavity. Single cell transcriptomics confirmed the presence of main embryonic cell types in CRISRPa-induced embryo models with transcriptional similarity to pre-gastrulation mouse embryos and revealed novel signaling communication links between different embryonic cell types. Our findings demonstrate that self-organization of embryonic patterns through minimum intrinsic epigenome editing presents a promising approach for efficient production of stem cell-based embryo models with high consistency and will pave the way for future straightforward systematic CRISPR-based screening of embryo models
 
Overall design Single-cell RNA-seq analysis was performed on 3D organoids grown using the protocol displayed below. We compared the generation of organoids either assembled from individual cell lines inducing either a control, Cdx2 or Gata6 sgRNA, or when assembling the 3 cell lines together, to assess self-organizing properties of embryonic cell types
 
Contributor(s) Lodewijk GA, Kozuki S, Lee S, Topacio B, Zargari A, Han C, Knight G, Ashton R, Shariati AS
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Submission date Feb 20, 2024
Last update date Mar 02, 2024
Contact name Ali S Shariati
E-mail(s) alish@ucsc.edu
Organization name University of California Santa Cruz
Department Biomolecular Engineering
Lab Shariati Lab
Street address 1156 High St
City Santa Cruz
State/province CA
ZIP/Postal code 95064
Country USA
 
Platforms (1)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
Samples (4)
GSM8086273 organoids grown from control-induced cells only
GSM8086274 organoids grown from Cdx2-induced cells only
GSM8086275 organoids grown from Gata6-induced cells only
Relations
BioProject PRJNA1078322

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
GSE256138_RAW.tar 2.5 Gb (http)(custom) TAR (of MTX, RDS, TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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