2026-04-17T14:15:40Zhttps://recercat.cat/oai/requestoai:recercat.cat:10230/490132025-12-19T20:29:06Zcom_2072_6col_2072_452954
RECERCAT
author
López Ruiz de Vargas, Sara
2021-11-18T10:52:26Z2021-11-18T10:52:26Z2021
Treball de fi de grau en Bioinformàtica. Curs 2020-2021Tutor: Trisevgeni RapakouliaWe applied an enhancer prediction method to an extensive set of epigenetic profiles from the ENCODE project. We identified enhancer elements in 104 human primary cells, cell lines, and tissues. This extensive generation of enhancer profiles allowed us to identify groups of cell types that are pretty similar in terms of enhancer usage and cell types that differ significantly. A case study on adult brain and embryo placenta tissues with quite different sets of active enhancers revealed cell-type specific enhancers that regulate the expression of genes linked to the tissue phenotype. Further exploitation of additional cell groups can reveal the lineage-specific enhancers.
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 license http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess
Treball de fi de grau – Curs 2020-2021
Amplificació gènica
Anàlisi de dades de panel
Regulació de la transcripció
Amplificadores
Análisis de datos
Regulación de la transcripción
Enhancers
Data analysis
Transcription regulation
A comprehensive map of predicted enhancers on a large panel of human primary cells, cell lines and tissues
info:eu-repo/semantics/bachelorThesis