Reference : Characterization of DNA Methylomic signatures in induced pluripotent stem cells durin...
Scientific journals : Article
Life sciences : Biotechnology
Human health sciences : Neurology
Human health sciences : Multidisciplinary, general & others
Systems Biomedicine
Characterization of DNA Methylomic signatures in induced pluripotent stem cells during neuronal differentiation
Imm, Jennifer []
Pishva, Ehsan []
Ali, Muhammad []
Kerrigan, Talitha L. []
Jeffries, Aaron []
Burrage, Joe []
Glaab, Enrico mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Biomedical Data Science >]
Allen, Nicholas []
Lunnon, Katie []
Frontiers in Cell and Developmental Biology
[en] aging ; DNA methylation ; epigenetics ; induced pluripotent stem cells (iPSCs) ; neuron ; neuronal differentiation ; trajectory inference ; epigenome-wide association study (EWAS) ; gene-gene network analysis
[en] In development, differentiation from a pluripotent state results in global epigenetic changes, although the extent to which this occurs in induced pluripotent stem cell based neuronal models has not been extensively characterized. In the present study, induced pluripotent stem cell colonies (33Qn1 line) were differentiated and collected at four time-points, with DNA methylation assessed using the Illumina Infinium Human Methylation EPIC BeadChip array. Dynamic changes in DNA methylation occurring during differentiation were investigated using a data-driven trajectory inference method. We identified a large number of Bonferroni-significant loci that showed progressive alterations in DNA methylation during neuronal differentiation. A gene-gene interaction network analysis identified 60 densely connected genes that were influential in the differentiation of neurons, with STAT3 being the gene with the highest connectivity.
Luxembourg Centre for Systems Biomedicine (LCSB): Biomedical Data Science (Glaab Group)
Researchers ; Professionals ; Students

File(s) associated to this reference

Fulltext file(s):

Limited access
iPSC methylation trajectories manuscript.pdfAuthor preprint138.65 kBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.