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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)
Verlagsversion Forschungsdaten DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Base-resolution Analysis; Dna-methylation; Wide Association; Transcription Factors; Mammalian Genome; Cells; System; Enhancers; Cancer; Genes
Sprache englisch
Veröffentlichungsjahr 2018
HGF-Berichtsjahr 2018
ISSN (print) / ISBN 0013-7227
e-ISSN 1945-7170
Zeitschrift Endocrinology
Quellenangaben Band: 159, Heft: 3, Seiten: 1511-1524 Artikelnummer: , Supplement: ,
Verlag Endocrine Society
Verlagsort Chevy Chase, Md.
Begutachtungsstatus Peer reviewed
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-500390-001
Scopus ID 85042679183
PubMed ID 29385420
Erfassungsdatum 2018-02-27