Advancing Epigenetics Towards Systems Biology

Eran Segal

Department of Computer Science and Applied Mathematics at the Weizmann Institute, Rehovot, Israel

Linking Genotype to Epigenotype

Web Page

eran segaleran segal group

We are interested in understanding how biological information is encoded in DNA sequences, and how sequence variation among individuals generates phenotypic diversity. Our main focus is on transcriptional control, chromatin structure, and RNA regulation, where we aim to develop quantitative and mechanistic models that integrate the involved components, including DNA sequence, transcription factors, nucleosomes, and binding competition and synergy. To devise and validate our models, we employ several experimental methods to measure DNA binding events and gene expression on a genome-wide scale, at high temporal resolution, across single cells and cell populations, and on both native and synthetically designed regulatory sequences. Ultimately, the ability of our models to accurately explain transcriptional behaviors from DNA sequences should allow us to predict the effect that sequence variation among individuals has on gene expression and thus on more complex phenotypes and disease.

Latest publications

Bread Affects Clinical Parameters and Induces Gut Microbiome-Associated Personal Glycemic Responses.

28591632 - 2017-06-08
Cell Metab 2017 Jun 6;25(6):1243-1253.e5

Korem T, Zeevi D, Zmora N, Weissbrod O, Bar N, Lotan-Pompan M, Avnit-Sagi T, Kosower N, Malka G, Rein M, Suez J, Goldberg BZ, Weinberger A, Levy AA, Elinav E, Segal E

Involvement of a gut-retina axis in protection against dietary glycemia-induced age-related macular degeneration.

28507131 - 2017-05-17
Proc Natl Acad Sci U S A 2017 May 15;

Rowan S, Jiang S, Korem T, Szymanski J, Chang ML, Szelog J, Cassalman C, Dasuri K, McGuire C, Nagai R, Du XL, Brownlee M, Rabbani N, Thornalley PJ, Baleja JD, Deik AA, Pierce KA, Scott JM, Clish CB, Smith DE, Weinberger A, Avnit-Sagi T, Lotan-Pompan M, Segal E, Taylor A

Corrigendum: Large-scale mapping of gene regulatory logic reveals context-dependent repression by transcriptional activators.

28250019 - 2017-03-03
Genome Res 2017 Mar;27(3):500

van Dijk D, Sharon E, Lotan-Pompan M, Weinberger A, Segal E, Carey LB

View all their publications