Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Construction the larval and adult zebrafish cell atlas at single cell resolution

ABSTRACT: Single-cell mRNA sequencing (scRNA-seq) technologies are reshaping the current cell-type classification system. In previous studies, we built the mouse cell atlas (MCA) and human cell landscape (HCL) to catalog all cell types by collecting scRNA-seq data. However, systematically study for zebrafish (Danio rerio) and fruit fly (Drosophila melanogaster) are still lacking. Here, we construct the zebrafish and Drosophila cell atlas with Microwell-seq protocols, which provides valuable resources for characterization of diverse cell populations of zebrafish and Drosophila, and studying difference between vertebrates and Invertebrates at single cell level.

ORGANISM(S): Danio rerio

PROVIDER: GSE178150 | GEO | 2022/07/08

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Construction the adult Drosophila cell atlas at single cell resolution

Project description:Single-cell mRNA sequencing (mRNA-seq) technologies are reshaping the current cell-type classification system. In previous studies, we built the mouse cell atlas (MCA) and human cell landscape (HCL) to catalog all cell types by collecting scRNA-seq data. However, systematically study for zebrafish (Danio rerio) and fruit fly (Drosophila melanogaster) are still lacking. Here, we construct the zebrafish and Drosophila cell atlas with Microwell-seq protocols, which provides valuable resources for characterization of diverse cell populations of zebrafish and Drosophila, and studying difference between vertebrates and Invertebrates at single cell level.

2022-07-08 | GSE178149 | GEO

Construction the adult earthworm cell atlas at single cell resolution.

Project description:Single-cell mRNA sequencing (scRNA-seq) technologies are reshaping the current cell-type classification system. In previous studies, we built the mouse cell atlas (MCA) and human cell landscape (HCL) to catalog all cell types by collecting scRNA-seq data. However, systematically study for zebrafish (Danio rerio), fruit fly (Drosophila melanogaster) and earthworm (Eisenia andrei) are still lacking. Here, we construct the zebrafish, Drosophila and earthworm cell atlas with Microwell-seq protocols, which provides valuable resources for characterization of diverse cell populations of zebrafish, Drosophila and earthworm, and studying difference between vertebrates and Invertebrates at single cell level.

2022-07-08 | GSE181511 | GEO

Mapping the zebrafish developmental and aging atlas by single cell mRNA-seq

Project description:Single-cell mRNA sequencing (scRNA-seq) technologies are reshaping current cell-type classification system. In previous studies, we constructed the Mouse Cell Atlas (MCA) and Human Cell Landscape (HCL) to catalog all cell types by collecting scRNA-seq data. Howerver, the systematic study for organism-level dynamic changes of cellular states across zebrafish life span are still lacking. Here, we constructed the zebrafish cell Landscape covering different development periods using Microwell-seq protocol. The zebrafish cell landscape provides a valuable resource for studying cross-sepciess development, maturation and aging.

2022-07-23 | GSE198571 | GEO

Mapping the Drosophila developmental and aging atlas by single cell mRNA-seq

Project description:Single-cell mRNA sequencing (scRNA-seq) technologies are reshaping current cell-type classification system. In previous studies, we constructed the Mouse Cell Atlas (MCA) and Human Cell Landscape (HCL) to catalog all cell types by collecting scRNA-seq data. Howerver, the systematic study for organism-level dynamic changes of cellular states across fruit fly (Drosophila melanogaster) life span are still lacking. Here, we constructed the Drosophila cell Landscape covering different development periods using Microwell-seq protocol. The Drosophila cell landscape provides a valuable resource for studying cross-sepciess development, maturation and aging.

2022-07-23 | GSE198831 | GEO

Cell landscape of Xenopus laevis at single-cell resolution

Project description:Single-cell mRNA sequencing (scRNA-seq) technologies are reshaping the current cell-type classification system. In previous studies, we built the mouse cell atlas (MCA) and human cell landscape (HCL) to catalog all cell types by collecting scRNA-seq data. However, systematically study for Xenopus laevis is still lacking. Here, we construct the Xenopus cell landscape with Microwell-seq protocols, which provides valuable resources for characterization of diverse cell populations of Xenopus laevis, and studying difference between vertebrates at single cell level.

2022-06-22 | GSE195790 | GEO

Mapping the mouse developmental and aging atlas by single cell mRNA-seq

Project description:Single-cell mRNA sequencing (mRNA-seq) technologies are reshaping the current cell-type classification system. In previous studies, we built a comprehensive mouse cell atlas to catalog all cell types by collecting scRNA-seq data in the fetal and adult stages. Howerver, systematically study for organism-level dynamic changes of cellular states across mouse life span are still lacking. Here, We made an updated version of mouse cell atlas (MCA) by adding scRNA-seq data covering 14 major mouse organs during different mouse development period. We revealed aging related regulatory networks and pathways that have not been well characterized previously. We found that the expressions of immune-related genes, such as antigen-presenting genes and immunoglobulin genes, appeared in non-immune cell types in aging process. We also focused on the expression of lung epithelial immunoglobulin genes and revealed their related transcriptional regulation mechanisms. The updated MCA resource provides a valuable resource for studying mammalian development, maturation and aging.

2022-07-23 | GSE153562 | GEO

Mapping Mouse Cell Atlas by Microwell-seq

Project description:We developed Microwell-seq, a high-throughput and low-cost scRNA-seq platform using simple, inexpensive devices. Using Microwell-seq, we constructed a basic scheme for the Mouse Cell Atlas. We reveal single cell hierarchy for many tissues that have not been well previously characterized. Our study demonstrates the wide applicability of the Microwell-seq technology and the Mouse Cell Atlas resource.

2018-02-14 | GSE108097 | GEO

Mapping Mouse Cell Atlas by Microwell-seq

Project description:Mapping Mouse Cell Atlas by Microwell-seq

| PRJNA422441 | ENA

High-throughput Microwell-seq 2.0 reveals massively multiplexed chemical perturbation

Project description:Combining in-cell RT and Microwell-seq 1.0, we established Microwell-seq 2.0 for cost-effective HTS with scRNA-seq-based phenotyping. To assess the fidelity of the Microwell-seq 2.0, we performed a species-mixing experiment with cultured human (293T) and mouse (3T3) cells. Moreover, we assessed the platform on tissue cells with more heterogeneous cell types. By harnessing the power of Microwell-seq 2.0, we analyzed massively multiplexed chemical perturbation of human embryonic stem cells (hESCs) at the single-cell resolution.

2021-11-09 | GSE175413 | GEO

Enhancing radiotherapy response via intratumoral injection of the TLR9 agonist CpG to stimulate CD8 T cells in an autochthonous mouse model of sarcoma (single-cell RNA-seq analysis)

Project description:A single-cell analysis (10x) of p53/MCA induced sarcomas tumors with and without radiation and CpG treatment. p53/MCA induced sarcomes are induced by intramuscular injection of adenovirus expressing Cas9 and sgRNA targeting Trp53 (Adeno-p53-sgRNA; Viraquest) at gastrucnemius muscle site. We used scRNA-seq to analyze the differences in immune cells after treatment with CpG+RT

2024-01-01 | GSE252143 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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