Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome editing by dual nucleases records deep lineage hierarchy with high fidelity.

ABSTRACT: Single-cell lineage tracing based on CRISPR/Cas9 gene editing tracks both cell states and genetic lineages at a single-cell resolution. We developed DuTracer, a single-cell lineage tracing method, to avoid rapid target exhaustion and barcode information dropout. Firstly, we introduced this system into HEK293T cells and initiated DuTracer for tracing. We collected single-cell transcriptome and barcode amplicon, demonstrating that this system could record more hierarchical information with minimal inter-site deletions. Subsequently, we applied DuTracer to a mouse embryoid body differentiation model to track lineage transitions of different cell types. We revealed cell potency hierarchy during the stochastic differentiation process of mES cells.

ORGANISM(S): Mus musculus Homo sapiens

PROVIDER: GSE236936 | GEO | 2024/07/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Whole organism lineage tracing by combinatorial and cumulative genome editing

Project description:Multicellular systems develop from single cells through a lineage, but current lineage tracing approaches scale poorly to whole organisms. Here we use genome editing to progressively introduce and accumulate diverse mutations in a DNA barcode over multiple rounds of cell division. The barcode, an array of CRISPR/Cas9 target sites, records lineage relationships in the patterns of mutations shared between cells. In cell culture and zebrafish, we show that rates and patterns of editing are tunable, and that thousands of lineage-informative barcode alleles can be generated. By sampling hundreds of thousands of cells from individual zebrafish, we find that most cells in adult zebrafish organs derive from relatively few embryonic progenitors. Genome editing of synthetic target arrays for lineage tracing (GESTALT) will help generate large-scale maps of cell lineage in multicellular systems.

2016-05-26 | GSE81713 | GEO

Single cell hierarchy of the mouse vaginal epithelium

Project description:In this study, using genetic cell lineage tracing, vaginal organoids, targeted gene deletion and single cell sequencing approaches; we revealed a unique population of vaginal epithelial stem cells and provided evidence that canonical Wnt/b-catenin signaling is required for the proliferation and differentiation of these stem cells.

2019-12-18 | GSE142212 | GEO

Single Cell gene expression and DNA accessibility profile of barcoded SUM159PT cells

Project description:Cancer is a heterogeneous disease, where multiple, phenotypically distinct subpopulations co-exist. Tumour evolution is a result of a complex interplay of genetic and epigenetic factors. To predict the molecular drivers of distinct cancer responses, we apply single-cell lineage tracing (scRNA-Seq of barcoded cells) on a triple-negative breast cancer model. SUM159PT cells infected with a lentiviral barcode library (Perturb-seq Library) were sorted according to the presence of BFP signal, treated or not with paclitaxel (PTX), and then processed by scRNA-Seq or Multiome.

2024-05-24 | E-MTAB-13064 | biostudies-arrayexpress

Multiplexed Single Cell gene expression profile of barcoded SUM159PT cells

2024-05-24 | E-MTAB-13066 | biostudies-arrayexpress

RNA seq gene expression profile of SUM159PT cells sorted for TM4SF1 (high vs bulk).

Project description:Cancer is a heterogeneous disease, where multiple, phenotypically distinct subpopulations co-exist. Tumour evolution is a result of a complex interplay of genetic and epigenetic factors. To predict the molecular drivers of distinct cancer responses, we apply single-cell lineage tracing (scRNA-Seq of barcoded cells) on a triple-negative breast cancer model. We propose GALILEO, a framework providing lineage tracing, transcriptomic, and chromatin accessibility information simultaneously at single-cell resolution (Multiome ATAC + gene expression on barcoded cells). The combination of single-cell lineage tracing with phenotypic assays allows to link a cell state with its fate.

2024-05-31 | GSE221850 | GEO

Targeted DNA sequencing of barcoded SUM159PT cells

Project description:Cancer is a heterogeneous disease, where multiple, phenotypically distinct subpopulations co-exist. Tumour evolution is a result of a complex interplay of genetic and epigenetic factors. To predict the molecular drivers of distinct cancer responses, we apply single-cell lineage tracing (scRNA-Seq of barcoded cells) on a triple-negative breast cancer model. We propose GALILEO, a framework providing lineage tracing, transcriptomic, and chromatin accessibility information simultaneously at single-cell resolution (Multiome ATAC + gene expression on barcoded cells). The combination of single-cell lineage tracing with phenotypic assays allows to link a cell state with its fate.

2024-05-31 | GSE221495 | GEO

Bulk RNA Sequencing of SUM159PT cells grown in 2D or from tumors formed in NOD mice

Project description:Cancer is a heterogeneous disease, where multiple, phenotypically distinct subpopulations co-exist. Tumor evolution is a result of a complex interplay of genetic and epigenetic factors. To predict the molecular drivers of distinct cancer responses, we apply single-cell lineage tracing (scRNA-Seq of barcoded cells) on a triple-negative breast cancer model. We propose GALILEO, a framework providing lineage tracing, transcriptomic, and chromatin accessibility information simultaneously at single-cell resolution (Multiome ATAC + gene expression on barcoded cells). The combination of single-cell lineage tracing with phenotypic assays allows to link a cell state with its fate.

2024-05-31 | GSE223951 | GEO

Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain

Project description:The lineage relationships among the hundreds of cell types generated during development are difficult to reconstruct. A recent method, GESTALT, used CRISPR–Cas9 barcode editing for large-scale lineage tracing, but was restricted to early development and did not identify cell types. Here we present scGESTALT, which combines the lineage recording capabilities of GESTALT with cell-type identification by single-cell RNA sequencing. The method relies on an inducible system that enables barcodes to be edited at multiple time points, capturing lineage information from later stages of development. Sequencing of ∼60,000 transcriptomes from the juvenile zebrafish brain identified >100 cell types and marker genes. Using these data, we generate lineage trees with hundreds of branches that help uncover restrictions at the level of cell types, brain regions, and gene expression cascades during differentiation. scGESTALT can be applied to other multicellular organisms to simultaneously characterize molecular identities and lineage histories of thousands of cells during development and disease.

2018-02-09 | GSE105010 | GEO

A revised airway epithelial hierarchy includes CFTR-expressing ionocytes

Project description:Airways conduct gases to the lung and are disease sites of asthma and cystic fibrosis. Here we study the cellular composition and hierarchy of the mouse tracheal epithelium by single-cell RNA-sequencing (scRNA-seq) and in vivo lineage tracing. We identify a rare cell type, the Foxi1+ pulmonary ionocyte; functional variations in club cells by proximodistal location; a distinct cell type in high turnover squamous epithelial structures that we term 'hillocks'; and disease-relevant subsets of tuft and goblet cells. We developed 'pulse-seq' , combining scRNA-seq and lineage tracing, to show that tuft, neuroendocrine and ionocyte cells are continually and directly replenished by basal progenitor cells. Ionocytes are the major source of transcripts of the cystic fibrosis transmembrane conductance regulator in both mouse (Cftr) and human (CFTR). Knockout of Foxi1 in mouse ionocytes causes loss of Cftr expression and disrupts airway fluid and mucus physiology, phenotypes that characterize cystic fibrosis. By associating cell-type-specific expression programs with key disease genes, we establish a new cellular narrative for airways disease.

2018-07-30 | GSE103354 | GEO

Lineage Tracing of PSC-derived iAEC2 Differentiation Using Lentiviral Barcoding

Project description:Lineage tracing of individual cells during directed differentiation human iPSC into alveolospheres was performed using a lentiviral barcode labeling system (Weinreb et al., 2020) as described in Hurley et al., 2020.

2019-09-24 | GSE137805 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data