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Sun, N. ; Wu, Y. ; Nanba, K.* ; Sbiera, S.* ; Kircher, S.* ; Kunzke, T. ; Aichler, M. ; Berezowska, S.* ; Reibetanz, J.* ; Rainey, W.E.* ; Fassnacht, M.* ; Walch, A.K. ; Kroiss, M.*

High resolution tissue mass spectrometry imaging reveals a refined functional anatomy of the human adult adrenal gland.

Endocrinology 159, 1511-1524 (2018)
Publ. Version/Full Text Research data DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
It is undeniably one of the greatest findings in biology that (with some very minor exceptions) every cell in the body possesses the whole genetic information needed to generate a complete individual. Today, this concept has been so thoroughly assimilated that we struggle to still see how surprising this finding actually was: all cellular phenotypes naturally occurring in one person are generated from genetic uniformity, and thus are per definition epigenetic. Transcriptional mechanisms are clearly critical for developing and protecting cell identities, because a mis-expression of few or even single genes can efficiently induce inappropriate cellular programmes. However, how transcriptional activities are molecularly controlled and which of the many known epigenomic features have causal roles remains unclear. Today, clarification of this issue is more pressing than ever because profiling efforts and epigenome-wide association studies (EWAS) continuously provide comprehensive datasets depicting epigenomic differences between tissues and disease states. In this commentary, we propagate the idea of a widespread follow-up use of epigenome editing technology in EWAS studies. This would enable them to address the questions of which features, where in the genome, and which circumstances are essential to shape development and trigger disease states.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Base-resolution Analysis; Dna-methylation; Wide Association; Transcription Factors; Mammalian Genome; Cells; System; Enhancers; Cancer; Genes
ISSN (print) / ISBN 0013-7227
e-ISSN 1945-7170
Journal Endocrinology
Quellenangaben Volume: 159, Issue: 3, Pages: 1511-1524 Article Number: , Supplement: ,
Publisher Endocrine Society
Publishing Place Chevy Chase, Md.
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Research Unit Analytical Pathology (AAP)