Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Human distal lung maps and lineage hierarchies reveal a bipotent progenitor [human lung organoids]

ABSTRACT: Human distal lung maps and lineage hierarchies reveal a bipotent progenitor [human lung organoids]

PROVIDER: PRJNA739470 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR14867888_1.fastq.gz	Fastqsanger.gz
	SRR14867888_2.fastq.gz	Fastqsanger.gz
	SRR14867889_1.fastq.gz	Fastqsanger.gz
	SRR14867889_2.fastq.gz	Fastqsanger.gz
	SRR14867890_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

Human distal lung maps and lineage hierarchies reveal a bipotent progenitor

Project description:Human distal lung maps and lineage hierarchies reveal a bipotent progenitor

| PRJNA738597 | ENA

Human distal lung maps and lineage hierarchies reveal a bipotent progenitor [Spatial transcriptomics]

Project description:Human distal lung maps and lineage hierarchies reveal a bipotent progenitor [Spatial transcriptomics]

| PRJNA738599 | ENA

Human distal lung maps and lineage hierarchies reveal a bipotent progenitor [single-cell RNA-seq]

Project description:Human distal lung maps and lineage hierarchies reveal a bipotent progenitor [single-cell RNA-seq]

| PRJNA738600 | ENA

Human distal lung maps and lineage hierarchies reveal a bipotent progenitor [human lung organoids]

Project description:We performed single-cell RNA-seq using 10x Genomic Chromium v3.1 on human lung organoid cultures.

2022-01-16 | GSE178519 | GEO

Human distal lung maps and lineage hierarchies reveal a bipotent progenitor [Spatial transcriptomics]

Project description:We performed spatial transcriptomics using 10x Genomic Visium Spatial Gene Expression on human lung.

2022-01-16 | GSE178361 | GEO

Human distal lung maps and lineage hierarchies reveal a bipotent progenitor

Project description:This SuperSeries is composed of the SubSeries listed below.

2022-01-15 | GSE178362 | GEO

Human distal lung maps and lineage hierarchies reveal a bipotent progenitor [single-cell RNA-seq]

Project description:We performed single-cell RNA-seq using 10x Genomic Chromium v3.1 on micro-dissected human distal airways.

2022-01-16 | GSE178360 | GEO

Transcription profiling of human primitive bipotent and committed luminal progenitor cells as well as mature luminal and myoepithelial cells from normal mammary tissue

Project description:Highly purified subpopulations of primitive bipotent and committed luminal progenitor cells as well as mature luminal and myoepithelial cells from normal human mammary tissue were isolated and compared their transcriptomes obtained using the Affymetrix GeneChip Human X3P Array. Experiment Overall Design: 12 Afffymetrix array hybridizations were performed on RNA samples extracted from highly purified subpopulations of primitive bipotent and committed luminal progenitor cells as well as mature luminal and myoepithelial cells isolate from 3 different normal human mammary tissue.

2008-06-20 | E-GEOD-11394 | biostudies-arrayexpress

Small molecule-mediated reprogramming of human hepatocytes into bipotent progenitor cells

Project description:Small molecule-mediated reprogramming of human hepatocytes into bipotent progenitor cells

| PRJNA472040 | ENA

Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq.

Project description:The mammalian lung is a highly branched network in which the distal regions of the bronchial tree transform during development into a densely packed honeycomb of alveolar air sacs that mediate gas exchange. Although this transformation has been studied by marker expression analysis and fate-mapping, the mechanisms that control the progression of lung progenitors along distinct lineages into mature alveolar cell types are still incompletely known, in part because of the limited number of lineage markers and the effects of ensemble averaging in conventional transcriptome analysis experiments on cell populations. Here we show that single-cell transcriptome analysis circumvents these problems and enables direct measurement of the various cell types and hierarchies in the developing lung. We used microfluidic single-cell RNA sequencing (RNA-seq) on 198 individual cells at four different stages encompassing alveolar differentiation to measure the transcriptional states which define the developmental and cellular hierarchy of the distal mouse lung epithelium. We empirically classified cells into distinct groups by using an unbiased genome-wide approach that did not require a priori knowledge of the underlying cell types or the previous purification of cell populations. The results confirmed the basic outlines of the classical model of epithelial cell-type diversity in the distal lung and led to the discovery of many previously unknown cell-type markers, including transcriptional regulators that discriminate between the different populations. We reconstructed the molecular steps during maturation of bipotential progenitors along both alveolar lineages and elucidated the full life cycle of the alveolar type?2 cell lineage. This single-cell genomics approach is applicable to any developing or mature tissue to robustly delineate molecularly distinct cell types, define progenitors and lineage hierarchies, and identify lineage-specific regulatory factors.

| S-EPMC4145853 | biostudies-literature

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