Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single cell multi-omic reference atlases of non-human primate immune tissues reveals CD102 as a biomarker for long-lived plasma cells.

ABSTRACT: Single cell multi-omic reference atlases of non-human primate immune tissues reveals CD102 as a biomarker for long-lived plasma cells.

PROVIDER: PRJNA893643 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR22029700.fastq.gz	Fastqsanger.gz
	SRR22029701_1.fastq.gz	Fastqsanger.gz
	SRR22029701_2.fastq.gz	Fastqsanger.gz
	SRR22029702.fastq.gz	Fastqsanger.gz
	SRR22029703_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 87

Similar Datasets

Single cell multi-omic reference atlases of non-human primate immune tissues reveals CD102 as a biomarker for long-lived plasma cells.

Project description:In response to infection or immunization, antibodies are produced that provide protection against re-exposure with the same pathogen. These antibodies can persist at high titers for decades and are maintained by bone marrow-resident long-lived plasma cells (LLPC). However, the durability of antibody responses to immunization varies amongst vaccines. It is unknown what factors contribute to the differential longevity of serum antibody responses and whether heterogeneity in LLPC contributes to this phenomenon. While LLPC differentiation has been studied extensively in mice, little is known about this population in humans or non-human primates (NHP). Here, we use multi-omic single-cell profiling to identify and characterize the LLPC compartment in NHP. We identify LLPC biomarkers including the marker CD102 and show that CD102 in combination with CD31 identifies LLPC in NHP bone marrow. Additionally, we find that CD102 is expressed by LLPC in mouse and humans. These results further our understanding of the LLPC compartment in NHP, identify biomarkers of LLPC, and provide tissue-specific single cell references for future studies.

2022-12-21 | GSE216456 | GEO

Single cell multi-omic reference atlases of non-human primate immune tissues reveals CD102 as a biomarker for long-lived plasma cells.

| S-EPMC9770566 | biostudies-literature

Ensemble learning for classifying single-cell data and projection across reference atlases

Project description:Single-cell data are being generated at an accelerating pace. How best to project data across single-cell atlases is an open problem. We developed a boosted learner that overcomes the greatest challenge with status quo classifiers: low sensitivity, especially when dealing with rare cell types. By comparing novel and published data from distinct scRNA-seq modalities that were acquired from the same tissues, we show that this approach preserves cell-type labels when mapping across diverse platforms.

2020-03-01 | GSE141982 | GEO

Comparing Reference-Based RNA-Seq Mapping Methods for Non-Human Primate Data

Project description:We present a comparison of four reference-based mapping methods for mapping non-human primate data to a human reference sequence. We utilize TopHat2 and GSNAP for mapping to the human genome, and Bowtie2 and Stampy for mapping to the human genome and transcriptome for a total of six mapping approaches

2014-07-10 | GSE57485 | GEO

Ensemble learning for classifying single-cell data and projection across reference atlases

Project description:Ensemble learning for classifying single-cell data and projection across reference atlases

| PRJNA595499 | ENA

Comparing Reference-Based RNA-Seq Mapping Methods for Non-Human Primate Data

2014-07-10 | E-GEOD-57485 | biostudies-arrayexpress

Ensemble learning for classifying single-cell data and projection across reference atlases

| EGAS00001004283 | EGA

Primate malaria sequencing

Project description:Primate malaria sequencing

| PRJEB2081 | ENA

Primate Comparison Study