Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Mapping the developing human immune system across organs - VDJ-seq

ABSTRACT: Mapping the developing human immune system across organs - VDJ-seq

PROVIDER: PRJEB50691 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Mapping the developing human immune system across organs - VDJ-seq

Project description:We profiled hematopoietic, lymphoid and peripheral fetal organs to systematically assess the heterogeneity of antigen receptors in immune cell populations across human tissues during development. Single-cell suspensions were obtained from fresh tissue. Cells were either DAPI-CD45+ or DAPI-CD45- FACS-isolated cells, or unsorted.

2022-09-23 | E-MTAB-11388 | biostudies-arrayexpress

Mapping the developing human immune system across organs - scRNA-seq

Project description:Mapping the developing human immune system across organs - scRNA-seq

| PRJEB52699 | ENA

Mapping the developing human immune system across organs - scRNA-seq

Project description:We profiled hematopoietic, lymphoid and peripheral fetal organs to systematically assess the heterogeneity of immune cell populations across human tissues during development. Single-cell suspensions were obtained from fresh tissue. Cells were either DAPI-CD45+ or DAPI-CD45- FACS-isolated cells, or unsorted.

2022-05-12 | E-MTAB-11343 | biostudies-arrayexpress

Mapping the developing human immune system across organs.

Project description:Single-cell genomics studies have decoded the immune cell composition of several human prenatal organs but were limited in describing the developing immune system as a distributed network across tissues. We profiled nine prenatal tissues combining single-cell RNA sequencing, antigen-receptor sequencing, and spatial transcriptomics to reconstruct the developing human immune system. This revealed the late acquisition of immune-effector functions by myeloid and lymphoid cell subsets and the maturation of monocytes and T cells before peripheral tissue seeding. Moreover, we uncovered system-wide blood and immune cell development beyond primary hematopoietic organs, characterized human prenatal B1 cells, and shed light on the origin of unconventional T cells. Our atlas provides both valuable data resources and biological insights that will facilitate cell engineering, regenerative medicine, and disease understanding.

| S-EPMC7612819 | biostudies-literature

The human gastrointestinal tract through space and time- Adult VDJ

Project description:Using single-cell RNAseq (scRNAseq) and paired VDJ analysis, we create the first comprehensive cell atlas of the healthy developing, paediatric and adult human gut, including 347,980 cells from up to 10 distinct anatomical sites. We use this data to trace the cellular composition of the gut throughout life, define novel cell markers and cell-cell interactions. We find four neuronal cell populations in the developing enteric nervous system, with expression patterns indicative of irritable bowel syndrome and Hirschsprung’s disease, and identify key cell players and communication networks initiating lymphoid structure formation in early human development.

2021-09-13 | E-MTAB-9532 | biostudies-arrayexpress

The human gastrointestinal tract through space and time- Fetal VDJ

2021-05-24 | E-MTAB-9533 | biostudies-arrayexpress

RNAScope Data - Mapping the developing human immune system across organs

Project description: Not available

| S-BIAD515 | bioimages

Engineered T cell therapy for central nervous system injury [CSF RNAseq + VDJ]

Project description:Engineered T cell therapy for central nervous system injury [CSF RNAseq + VDJ]

| PRJNA1142026 | ENA

VDJ-sequencing of fetal skin

Project description:VDJ-sequencing of fetal skin

| PRJEB63201 | ENA

Unbiased quantification of immunoglobulin diversity at the DNA level with VDJ-seq

Project description:For high-throughput sequencing and quantification of immunoglobulin repertoires, most methodologies utilise RNA. However, output varies enormously between recombined genes due to different promoter strengths and differential activation of lymphocyte subsets, precluding quantitation of recombinants on a per cell basis. To date, DNA-based approaches have used V gene primer cocktails, with substantial inherent biases. Here we describe VDJ-seq, which accurately quantitates immunoglobulin diversity at the DNA level in an unbiased manner. This is accomplished with a single primer extension step using biotinylated J gene primers. By addition of unique molecular identifiers (UMI) before primer extension, we reliably remove duplicate sequences and correct for sequencing and PCR errors. Furthermore, VDJ-seq captures productive and non-productive VDJ and DJ recombination events on a per cell basis. Library preparation takes 3 days, with 2 days of sequencing, and 1 day of data processing and analysis.

2017-12-16 | GSE106458 | 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