Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identifying metabolic adaptations characteristic of multiple myeloma cells via targeted sphingolipids concentrations from bone marrow and peripheral plasma

ABSTRACT: Will be assessing the targeted sphingolipids concentrations of high risk versus low risk smoldering myeloma patients based on peripheral blood plasma and bone marrow plasma.

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Bone Marrow

DISEASE(S): Cancer

SUBMITTER: Wilson Gonsalves

PROVIDER: ST000790 | MetabolomicsWorkbench | Tue Jul 11 00:00:00 BST 2017

REPOSITORIES: MetabolomicsWorkbench

ACCESS DATA

Json Xml

Similar Datasets

Identifying metabolic adaptations characteristic of multiple myeloma cells via amino acids concentrations from bone marrow plasma

Project description:Will be assessing the targeted amino acids concentrations of high risk versus low risk smoldering myeloma patients based on peripheral blood plasma and bone marrow plasma.

2017-07-11 | ST000791 | MetabolomicsWorkbench

Identifying metabolic adaptations characteristic of multiple myeloma cells via mass spectrometry-based metabolite profiling from Peripheral Plasma

Project description:Will be assessing the untargeted metabolomic profiles of high risk versus low risk smoldering myeloma patients based on peripheral blood plasma, bone marrow plasma and Cd138+ plasma cells. Peripheral Plasma ms5972

2017-07-11 | ST000787 | MetabolomicsWorkbench

Identifying metabolic adaptations characteristic of multiple myeloma cells via mass spectrometry-based metabolite profiling from Bone Marrow Plasma

2017-07-11 | ST000788 | MetabolomicsWorkbench

Identifying metabolic adaptations characteristic of multiple myeloma cells via mass spectrometry-based metabolite profiling from (CD138+ Plasma Cells)

2017-07-11 | ST000789 | MetabolomicsWorkbench

Transcription profiling of human bone marrow aspirate plasma cells from healthy Donors (N=22), MGUS (N=44), and Smoldering Myeloma (N=12)

Project description:This series represents bone marrow aspirates from smoldering multiple myeloma patients Experiment Overall Design: We analyzed arrays for plasma cells from 22 cases of healthy donors, 44 cases of MGUS, and 12 cases of smoldering myeloma

2008-06-14 | E-GEOD-5900 | biostudies-arrayexpress

Transcription profiling by array of human CD138 purified bone marrow plasma cells from patients with smoldering multiple myeloma

Project description:Gene expression profiling of CD138 purified bone marrow plasma cells of patients with smoldering multiple myeloma

2023-05-31 | E-MTAB-4743 | biostudies-arrayexpress

Gene Expression of Bone Marrow Plasma Cells from Healthy Donors (N=22), MGUS (N=44), and Smoldering Myeloma (N=12)

Project description:This series represents bone marrow aspirates from smoldering multiple myeloma patients Keywords: other

2006-10-06 | GSE5900 | GEO

Single-cell RNA sequencing of bone marrow aspirate samples from multiple myeloma and its precursor conditions

Project description:To determine the cell types and their transcriptional alterations during multiple myeloma progression from its precursor conditions, ie. monoclonal gammopathy of undetermined significance (MGUS), and smoldering multiple myeloma (SMM), we used single-cell RNA sequencing (scRNA-seq) to analyze the bone marrow aspirate samples from 4 newly diagnosed multiple myeloma, 6 MGUS and 4 SMM patients as well as 5 healthy donors.

2024-07-04 | GSE271107 | GEO

Identifying a high-risk cellular signature in the multiple myeloma bone marrow microenvironment_1

Project description:The multiple myeloma (MM) tumor microenvironment is thought to influence patient outcomes. To test this, we computationally enumerated relevant cell populations in 436 newly diagnosed MM patients. Unsupervised clustering identified 5 clusters, with patients in Cluster 5 having significantly worse outcomes: 13 fewer months of progression-free survival (P = 0.002) and 8 fewer months of overall survival (P = 0.040). Cell type analysis showed that patients in Cluster 5 had elevated CD8+ T cell and B cell populations, but low granulocyte levels. A granulocyte signature identified an additional 14% of patients with elevated risk but lacking International Staging System stage III or GEP-70 high- risk status

2019-08-31 | GSE136324 | GEO

Identifying a high-risk cellular signature in the multiple myeloma bone marrow microenvironment_3

2019-08-31 | GSE136398 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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