Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Aging Twin Population of Human Skeletal Muscle Biopsies

ABSTRACT: Skeletal muscle biopsies from a set of 33 twins (66 individuals), both young and old age.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Skeletal Muscle

SUBMITTER: Evan Williams

LAB HEAD: Kirsi Pietiläinen

PROVIDER: PXD007249 | Pride | 2026-01-23

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	iProphet.pep.xml	Pepxml
	wevan_K170720_SW_001.zip	Other
	wevan_K170720_SW_002.zip	Other
	wevan_K170720_SW_003.zip	Other
	wevan_K170720_SW_004.zip	Other

Items per page:

1 - 5 of 104

Publications

Molecular pathways behind acquired obesity: Adipose tissue and skeletal muscle multiomics in monozygotic twin pairs discordant for BMI.

van der Kolk Birgitta W BW Saari Sina S Lovric Alen A Arif Muhammad M Alvarez Marcus M Ko Arthur A Miao Zong Z Sahebekhtiari Navid N Muniandy Maheswary M Heinonen Sini S Oghabian Ali A Jokinen Riikka R Jukarainen Sakari S Hakkarainen Antti A Lundbom Jesper J Kuula Juho J Groop Per-Henrik PH Tukiainen Taru T Lundbom Nina N Rissanen Aila A Kaprio Jaakko J Williams Evan G EG Zamboni Nicola N Mardinoglu Adil A Pajukanta Päivi P Pietiläinen Kirsi H KH

Cell reports. Medicine 20210330 4

Tissue-specific mechanisms prompting obesity-related development complications in humans remain unclear. We apply multiomics analyses of subcutaneous adipose tissue and skeletal muscle to examine the effects of acquired obesity among 49 BMI-discordant monozygotic twin pairs. Overall, adipose tissue appears to be more affected by excess body weight than skeletal muscle. In heavier co-twins, we observe a transcriptional pattern of downregulated mitochondrial pathways in both tissues and upregulate ...[more]

PMID: 33948567

Similar Datasets

Quantitative variability of 342 plasma proteins in a human twin population

Project description:The human plasma proteome is clinically highly significant and has been studied extensively because it is thought that its molecular makeup provides a window into the health state of an individual. However, neither the quantitative variability of the plasma proteome nor the origins of the variation are known. To determine the relative contributions of heritability, environmental and longitudinal factors to plasma proteome variability we systematically decomposed the biological variance of 1904 peptides defining 342 unique plasma protein profiles from 232 plasma samples that were collected with 2-7 year intervals from monozygotic (MZ) and dizygotic (DZ) twins. The data were collected via SWATH mass spectrometry (SWATH-MS), an emerging technology characterized by high degree of reproducibility and quantitative accuracy. The data indicate abundance variability is an important feature for different proteins among population, that the abundances of about 20% of plasma protein are considerably heritable, and that the degrees of genetic control and aging effects vary across specific biological processes. Moreover, we identified 13 cis- SNPs significantly influencing the abundance level of specific plasma proteins. These results substantially extend the understanding of the impact of heritability on the human proteomic dynamics and therefore have implications for the effective design of plasma-based biomarker studies.

2015-01-05 | PXD001064 | Pride

Discordant twin PTSD DNA methylation

Project description:MZ twins DNA methylation

2021-05-30 | GSE172464 | GEO

PLASMA PROTEOMIC ANALYSIS OF RARE BMI-DISCORDANT MONOZYGOTIC TWIN PAIRS

Project description:The aim of the current study is to establish the effect of excess body wiehgt and liver fat on plasma proteomic profile without interference from genetic variation. Label-free proteomics (HDMSE) was performed on plasma samples of young healthy monozygotic twins who were discordant for BMI. the twins were further subdivided into groups of liver fat discordant and liver fat concordant to see the efefct fo liver fat on plasma proteomic signature.

2019-02-01 | PXD010691 | Pride

Expression data from phenotypically discordant monozygotic twin lymphoblasts

Project description:Human intelligence demonstrates one of the highest heritabilities among human quantitative traits. Phenotypically discordant monozygotic twins provide a way to identify loci responsible for normal-range intelligence. We conducted array-based genome-wide gene expression analysis aiming to identify genes displaying significant difference among monozygotic twin pairs manifesting between-co-twins IQ differences.

2012-10-20 | GSE33476 | GEO

DNA Methylation Across Monozygotic Twin Pairs and Their Parents

Project description:Two families with monozygotic twins discordant for schizophrenia

2014-09-30 | GSE61862 | GEO

Inference and quantification of peptidoforms in large sample cohorts by SWATH-MS: Twin blood plasma quantitative variance components

Project description:This data set represents a reanalysis of human blood plasma samples measured by SWATH-MS of 36 pairs of monozygotic and 22 pairs of dizygotic twins that were sampled at two longitudinal time points (Liu et al., 2015, PMID:25652787). The data were used to determine the overall quantitative variability of 4322 peptidoforms in the sample cohort and to assign the measured variability to heritability, environmental or longitudinal effects.

2017-06-06 | PXD004574 | Pride

MHO Twin Study

Project description:Not all obese individuals develop the usual comorbidities (i.e. hypertension, dyslipidemia, diabetes) despite the excess weight. We set out to investigate this metabolically healthy obesity (MHO) phenomenon utilizing a collection of monozygotic twins discordant for obesity. Adipose tissue samples were analyzed for diffences in their transcipt profile between groups of MHO and non-MHO twin pairs.

2013-10-16 | E-MTAB-1895 | biostudies-arrayexpress

Gene expression analysis in absence epilepsy using a monozygotic twin design

Project description:Objective: To identify genes involved in idiopathic absence epilepsies by analysing gene expression using a monozygotic (MZ) twin design. Methods: Genome-wide gene expression in lymphoblastoid cell lines was determined using microarrays derived from five discordant and four concordant MZ twin pairs with idiopathic absence epilepsies and five unaffected MZ twin pairs. Gene expression was analysed using three strategies: discordant MZ twins were compared as matched pairs, MZ twins concordant for epilepsy were compared to control MZ twins, and a singleton design of affected versus unaffected MZ twin individuals was used irrespective of twin pairing. An overlapping gene list was generated from these analyses. Dysregulation of genes recognised from the microarray experiment were validated using quantitative real time PCR (qRT-PCR) in the twin sample and in an independent sample of 18 sporadic absence cases and 24 healthy controls. Results: Sixty-five probe sets were identified from the microarray analysis strategies. Sixteen genes were chosen for validation and nine of these genes confirmed by qRT-PCR in the twin sample. Differential expression of the immediate early gene EGR1 and RCN2, coding for the calcium-binding protein Reticulocalbin 2, was re-confirmed by qRT-PCR in the independent sample. Interpretation: Using a unique sample of discordant MZ twins, our study identified genes with altered expression, which suggest novel mechanisms in idiopathic absence epilepsy. Dysregulation of EGR1 and RCN2 might represent common transcriptional alterations in idiopathic absence epilepsy. Keywords: Childhood Absence Epilepsy, Juvenile Absence Epilepsy, Idiopathic Generalised Epilepsy, gene expression, twin study, monozygotic twins

2008-02-28 | GSE7486 | GEO

Single embryo analysis of monozygotic twin blastocysts of the mouse respecting pair associations

Project description:Upon 2-cell embryo splitting, individual blastomeres were cultured in KSOM(aa) medium and developed into blastocysts, which were compared and contrasted with each other respecting pair associations (e.g. twin vs cotwin) Transcriptome analysis revelaled minimal differences between twins and unmanipulated controls, in contrast to larger differences between twins and cotwins; these differences are mainly related to the epiblast lineage

2017-08-06 | GSE90674 | GEO

Expression data from phenotypically discordant monozygotic twin lymphoblasts

2012-10-20 | E-GEOD-33476 | biostudies-arrayexpress