SwePub
Sök i SwePub databas

  Extended search

Träfflista för sökning "WFRF:(Ballestar E) srt2:(2015-2019)"

Search: WFRF:(Ballestar E) > (2015-2019)

  • Result 1-4 of 4
Sort/group result
   
EnumerationReferenceCoverFind
1.
  •  
2.
  •  
3.
  • Rodriguez-Cortez, VC, et al. (author)
  • Monozygotic twins discordant for common variable immunodeficiency reveal impaired DNA demethylation during naïve-to-memory B-cell transition
  • 2015
  • In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 6, s. 7335-
  • Journal article (peer-reviewed)abstract
    • Common variable immunodeficiency (CVID), the most frequent primary immunodeficiency characterized by loss of B-cell function, depends partly on genetic defects, and epigenetic changes are thought to contribute to its aetiology. Here we perform a high-throughput DNA methylation analysis of this disorder using a pair of CVID-discordant MZ twins and show predominant gain of DNA methylation in CVID B cells with respect to those from the healthy sibling in critical B lymphocyte genes, such as PIK3CD, BCL2L1, RPS6KB2, TCF3 and KCNN4. Individual analysis confirms hypermethylation of these genes. Analysis in naive, unswitched and switched memory B cells in a CVID patient cohort shows impaired ability to demethylate and upregulate these genes in transitioning from naive to memory cells in CVID. Our results not only indicate a role for epigenetic alterations in CVID but also identify relevant DNA methylation changes in B cells that could explain the clinical manifestations of CVID individuals.
  •  
4.
  • Gomez-Cabrero, D, et al. (author)
  • STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse
  • 2019
  • In: Scientific data. - : Springer Science and Business Media LLC. - 2052-4463. ; 6:1, s. 256-
  • Journal article (peer-reviewed)abstract
    • Multi-omics approaches use a diversity of high-throughput technologies to profile the different molecular layers of living cells. Ideally, the integration of this information should result in comprehensive systems models of cellular physiology and regulation. However, most multi-omics projects still include a limited number of molecular assays and there have been very few multi-omic studies that evaluate dynamic processes such as cellular growth, development and adaptation. Hence, we lack formal analysis methods and comprehensive multi-omics datasets that can be leveraged to develop true multi-layered models for dynamic cellular systems. Here we present the STATegra multi-omics dataset that combines measurements from up to 10 different omics technologies applied to the same biological system, namely the well-studied mouse pre-B-cell differentiation. STATegra includes high-throughput measurements of chromatin structure, gene expression, proteomics and metabolomics, and it is complemented with single-cell data. To our knowledge, the STATegra collection is the most diverse multi-omics dataset describing a dynamic biological system.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-4 of 4

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view