Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Comparative single-cell transcriptional and proteomic atlas of clinical-grade injectable mesenchymal source tissues

ABSTRACT: Bone marrow aspirate concentrate (BMAC) and adipose-derived stromal vascular fraction (ADSVF) are the most marketed stem cell therapies to treat a variety of conditions in the general population and elite athletes. Both tissues have been used interchangeably clinically even though their detailed composition, heterogeneity, and mechanisms of action have neither been rigorously inventoried nor compared. This lack of information has prevented investigations into ideal dosages and has facilitated anecdata and misinformation. Here, we analyzed single-cell transcriptomes, proteomes, and flow cytometry profiles from paired clinical-grade BMAC and ADSVF. This comparative transcriptional atlas challenges the prevalent notion that there is one therapeutic cell type present in both tissues. We also provide data of surface markers that may enable isolation and investigation of cell (sub)populations. Furthermore, the proteome atlas highlights intertissue and interpatient heterogeneity of injected proteins with potentially regenerative or immunomodulatory capacities.

ORGANISM(S): Homo sapiens

PROVIDER: GSE217244 | GEO | 2024/07/22

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Comparative single-cell transcriptional and proteomic atlas of clinical-grade injectable mesenchymal source tissues

Project description:Bone marrow aspirate concentrate (BMAC) and adipose-derived stromal vascular fraction (ADSVF) are the most marketed stem cell therapies to treat a variety of conditions in the general population and elite athletes. Both tissues have been used interchangeably clinically even though their detailed composition, heterogeneity, and mechanisms of action have neither been rigorously inventoried nor compared. This lack of information has prevented investigations into ideal dosages and has facilitated anecdata and misinformation. Here, we analyzed single-cell transcriptomes, proteomes, and flow cytometry profiles from paired clinical-grade BMAC and ADSVF. This comparative transcriptional atlas challenges the prevalent notion that there is one therapeutic cell type present in both tissues. We also provide data of surface markers that may enable isolation and investigation of cell (sub)populations. Furthermore, the proteome atlas highlights intertissue and interpatient heterogeneity of injected proteins with potentially regenerative or immunomodulatory capacities.

2024-07-25 | PXD037632 | Pride

Athletemet

Project description:Metagenomic analysis of elite athletes

| PRJEB4609 | ENA

undefined

Project description:ANKK1/rs1800497 polymorphism in elite athletes

| PRJEB61183 | ENA

SARAH athlete respiratory microbiome

Project description:Immune dysregulation associated with respiratory illness in elite athletes

| PRJEB45648 | ENA

Project description:Discrepancy of gut microbiota composition among elite athletes and young adults

| PRJNA799847 | ENA

Real-time quantitative PCR analysis of human total blood tissue from athletes or sedentary controls

Project description:Thirteen elite handball athletes and 13 sedentary controls. Three timepoints were established: T0 (baseline conditions); T8 (after 8 weeks of supplementation); and T16 (after 8 weeks in the absence of supplementation). The dietary intervention consisted of the oral administration of one daily multivitamin/mineral complex capsule (Multicentrum® Pfizer, Barcelona, Spain) before exercise during the controlled dietary intervention period. Multivitamin/mineral complex intervention adherence/compliance was defined as the percentage of all of the supplement capsules ingested throughout the study period. The expressions of a total 112 of genes were evaluated by RT-qPCR analysis with the QuantStudioTM 12K Flex Real-Time PCR System. 78 genes were finally analized.

2019-11-23 | GSE140874 | GEO

Characterization of spatial heterogeneity in metastasized colorectal cancer by MALDI imaging

Project description:About 50% of colorectal cancer patients develop liver metastases. Patients with metastatic colorectal cancer have 5-year survival rates below 20% despite new therapeutic regimens. Tumor heterogeneity has been linked with poor clinical outcome, but was so far mainly studied via bulk genomic analyses. In this study we performed spatial proteomics via MALDI mass spectrometry imaging on six patient matched CRC primary tumor and liver metastases to characterize interpatient, intertumor and intratumor hetereogeneity. We found several peptide features that were enriched in vital tumor areas of primary tumors and liver metastasis and tentatively derived from tumor cell specific proteins such as annexin A4 and prelamin A/C. Liver metastases of colorectal cancer showed higher heterogeneity between patients than primary tumors while within patients both entities show similar intratumor heterogeneity sometimes organized in zonal pattern. Together our findings give new insights into the spatial proteomic heterogeneity of primary CRC and patient matched liver metastases.

2023-02-17 | PXD039409 | Pride

Hidden RNA profiles revealed by malignant cell fraction-informed deconvolution

Project description:To understand cancer biology, it is crucial to unravel malignant- and microenvironmental cell states. Deconvolution of the bulk RNA profile from tumors can provide this insight, but is severely impaired by interpatient heterogeneity of the malignant cells. Bayesian statistics enables to inform RNA-deconvolution with malignant cell fraction estimates from e.g. DNA sequencing. We developed cell fraction-informed deconvolution, and evaluated this experimentally using 46 bulk RNA profiles from blood with 19 CyTOF determined cell fractions from this repository.

2024-05-23 | GSE263756 | GEO

Project description:Distinct microbiome composition and metabolome exists across subgroups of elite Irish athletes irrespective of diet

| PRJEB32794 | ENA

Transcriptional profiling of CD4 T-cells in HIV-1 infected patients

Project description:HIV-1 elite controllers maintain undetectable levels of viral replication in the absence of antiretroviral therapy, but their underlying immunological and virological characteristics may vary. Here, we used a whole-genome transcriptional profiling approach to characterize gene expression signatures of CD4 T cells from an unselected cohort of elite controllers. In the majority of elite controllers, transcriptional profiles were similar to HAART-treated patients, while being different from HIV-1 negative persons. Yet, a smaller proportion of elite controllers showed an opposite gene expression pattern that was indistinguishable from HIV-1 negative persons, but different from HAART-treated individuals. Elite controllers with this gene expression signature had significantly higher CD4 T cell counts, smaller levels of HIV-1-specific CD8+ T cell responses and tended to have lower residual HIV-1 viremia as determined by ultra-sensitive single-digit PCR, but did not differ from other elite controllers in terms of HLA class I alleles, age or sex. Thus, these data identify a specific subgroup of elite controllers whose clinical, immunological and gene expression characteristics approximate those of HIV-1 negative persons.

2011-01-01 | GSE23879 | 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