Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Mouse mutant phenotyping at scale reveals novel genes controlling bone mineral density [Osteoclast_0_3days]

ABSTRACT: The genetic landscape of diseases associated with changes in bone mineral density (BMD), such as osteoporosis, is only partially understood. Here, we explored the International Mouse Phenotyping Consortium (IMPC) for the analysis of skeletal data from 3,974 mutant strains for bone mineral density (BMD), a measure that is frequently altered in a range of bone pathologies including osteoporosis. A total of 200 genes were found to significantly affect BMD. This gene pool comprised 141 genes that were previously not known to have a function in bone biology and was complementary to pools derived from recent human studies. Nineteen of the 141 BMD genes also caused skeletal abnormalities. Further, evidence suggested a direct role for several of the identified BMD genes in osteoclasts and osteoblasts, and candidate genes for further investigation were prioritized. Overall, the results add novel pathophysiological and molecular insight into bone health and disease

ORGANISM(S): Mus musculus

PROVIDER: GSE158150 | GEO | 2021/01/12

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Mouse mutant phenotyping at scale reveals novel genes controlling bone mineral density [Osteoclast_48H_samples]

Project description:The genetic landscape of diseases associated with changes in bone mineral density (BMD), such as osteoporosis, is only partially understood. Here, we explored the International Mouse Phenotyping Consortium (IMPC) for the analysis of skeletal data from 3,974 mutant strains for bone mineral density (BMD), a measure that is frequently altered in a range of bone pathologies including osteoporosis. A total of 200 genes were found to significantly affect BMD. This gene pool comprised 141 genes that were previously not known to have a function in bone biology and was complementary to pools derived from recent human studies. Nineteen of the 141 BMD genes also caused skeletal abnormalities. Further, evidence suggested a direct role for several of the identified BMD genes in osteoclasts and osteoblasts, and candidate genes for further investigation were prioritized. Overall, the results add novel pathophysiological and molecular insight into bone health and disease

2021-01-12 | GSE158149 | GEO

Mouse mutant phenotyping at scale reveals novel genes controlling bone mineral density [Osteoblast_5days]

2021-01-12 | GSE158148 | GEO

Mouse mutant phenotyping at scale reveals novel genes controlling bone mineral density [Unsorted_Osteoblast_7_17days]

2021-01-12 | GSE158147 | GEO

Mouse mutant phenotyping at scale reveals novel genes controlling bone mineral density [Sorted_Osteoblast_7_17days]

2021-01-12 | GSE158146 | GEO

Gene expression study of blood monocytes in pre- and postmenopausal females with low or high bone mineral density (HG-U133A)

2016-06-01 | GSE56815 | GEO

Gene expression study of blood monocytes in pre- and postmenopausal females with low or high bone mineral density (HuEx-1_0-st-v2)

2016-06-01 | GSE56814 | GEO

Gene expression study of blood monocytes in pre- and postmenopausal females with low or high bone mineral density (HG-U133A)

Project description:Comparison of circulating monocytes from pre- and postmanopausal females with low or high bone mineral density (BMD). Circulating monocytes are progenitors of osteoclasts, and produce factors important to bone metabolism. Results provide insight into the role of monocytes in osteoporosis. We identify osteoporosis genes by microarray analyses of monocytes in high vs. low hip BMD (bone mineral density) subjects. Microarray analyses of monocytes were performed using Affymetrix HG-133A arrays in 80 Caucasian females, including 40 high (20 pre- and 20 postmanopausal) and 40 low hip BMD (20 pre- and 20 postmanopausal) subjects

2016-06-01 | E-GEOD-56815 | biostudies-arrayexpress

Gene expression study of blood monocytes in pre- and postmenopausal females with low or high bone mineral density (HuEx-1_0-st-v2)

Project description:Comparison of circulating monocytes from pre- and postmenopausal females with low or high bone mineral density (BMD). Circulating monocytes are progenitors of osteoclasts, and produce factors important to bone metabolism. Results provide insight into the role of monocytes in osteoporosis. We identify osteoporosis genes by microarray analyses of monocytes in high vs. low hip BMD (bone mineral density) subjects. Microarray analyses of monocytes were performed using Affymetrix 1.0 ST arrays in 73 Caucasian females (age: 47-56) with extremely high (mean ZBMD =1.38, n=42, 16 pre- and 26 postmenopausal subjects) or low hip BMD (mean ZBMD=-1.05, n=31, 15 pre- and 16 postmenopausal subjects). Differential gene expression analysis in high vs. low BMD subjects was conducted in the total cohort as well as pre- and post-menopausal subjects.

2016-06-01 | E-GEOD-56814 | biostudies-arrayexpress

Gene Expression of Circulating B Lymphocytes for Smoking-related Osteoporosis in Postmenopausal Females

Project description:B cells produce important cytokines regulate bone metabolism. We comparison gene expression patterns of circulating B cells in blood from 20 postmenopausal female smokers with low or high bone mineral density (BMD): 10 low BMD vs. 10 high BMD. In total 17 differentially expressed genes were identified with smoking-related osteoporosis. Keywords: disease state analysis

2009-09-30 | GSE13850 | GEO

LC-MSMS of postmenopausal with low BMD

Project description:Postmenopausal osteoporosis (PMOP) is a major global public health concern and older women are more susceptible to experiencing fragility fractures. Our study investigated the associations between circulating proteins with bone mineral density (BMD) in postmenopausal women with or without low BMD (osteoporosis and osteopenia) to explore the pathogenesis of PMOP and discover novel biomarkers for this disease..

2020-04-27 | PXD017804 | Pride

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