Literature DB >> 34874265

Analysis of long and short enhancers in melanoma cell states.

David Mauduit1,2, Ibrahim Ihsan Taskiran1,2, Liesbeth Minnoye1,2, Maxime de Waegeneer1,2, Valerie Christiaens1,2, Gert Hulselmans1,2, Jonas Demeulemeester1,2,3, Jasper Wouters1,2, Stein Aerts1,2.   

Abstract

Understanding how enhancers drive cell-type specificity and efficiently identifying them is essential for the development of innovative therapeutic strategies. In melanoma, the melanocytic (MEL) and the mesenchymal-like (MES) states present themselves with different responses to therapy, making the identification of specific enhancers highly relevant. Using massively parallel reporter assays (MPRAs) in a panel of patient-derived melanoma lines (MM lines), we set to identify and decipher melanoma enhancers by first focusing on regions with state-specific H3K27 acetylation close to differentially expressed genes. An in-depth evaluation of those regions was then pursued by investigating the activity of overlapping ATAC-seq peaks along with a full tiling of the acetylated regions with 190 bp sequences. Activity was observed in more than 60% of the selected regions, and we were able to precisely locate the active enhancers within ATAC-seq peaks. Comparison of sequence content with activity, using the deep learning model DeepMEL2, revealed that AP-1 alone is responsible for the MES enhancer activity. In contrast, SOX10 and MITF both influence MEL enhancer function with SOX10 being required to achieve high levels of activity. Overall, our MPRAs shed light on the relationship between long and short sequences in terms of their sequence content, enhancer activity, and specificity across melanoma cell states.
© 2021, Mauduit et al.

Entities:  

Keywords:  MPRA; chromosomes; enhancers; gene expression; genetics; genomics; human; melanoma

Mesh:

Substances:

Year:  2021        PMID: 34874265      PMCID: PMC8691835          DOI: 10.7554/eLife.71735

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  70 in total

1.  The sequence manipulation suite: JavaScript programs for analyzing and formatting protein and DNA sequences.

Authors:  P Stothard
Journal:  Biotechniques       Date:  2000-06       Impact factor: 1.993

Review 2.  AP-1 subunits: quarrel and harmony among siblings.

Authors:  Jochen Hess; Peter Angel; Marina Schorpp-Kistner
Journal:  J Cell Sci       Date:  2004-12-01       Impact factor: 5.285

Review 3.  In pursuit of design principles of regulatory sequences.

Authors:  Michal Levo; Eran Segal
Journal:  Nat Rev Genet       Date:  2014-06-10       Impact factor: 53.242

Review 4.  Decoding enhancers using massively parallel reporter assays.

Authors:  Fumitaka Inoue; Nadav Ahituv
Journal:  Genomics       Date:  2015-06-10       Impact factor: 5.736

5.  Convergence of developmental and oncogenic signaling pathways at transcriptional super-enhancers.

Authors:  Denes Hnisz; Jurian Schuijers; Charles Y Lin; Abraham S Weintraub; Brian J Abraham; Tong Ihn Lee; James E Bradner; Richard A Young
Journal:  Mol Cell       Date:  2015-03-19       Impact factor: 17.970

6.  In vivo switching of human melanoma cells between proliferative and invasive states.

Authors:  Keith S Hoek; Ossia M Eichhoff; Natalie C Schlegel; Udo Döbbeling; Nikita Kobert; Leo Schaerer; Silvio Hemmi; Reinhard Dummer
Journal:  Cancer Res       Date:  2008-02-01       Impact factor: 12.701

Review 7.  Intratumor and Intertumor Heterogeneity in Melanoma.

Authors:  Tomasz M Grzywa; Wiktor Paskal; Paweł K Włodarski
Journal:  Transl Oncol       Date:  2017-10-24       Impact factor: 4.243

8.  An atlas of dynamic chromatin landscapes in mouse fetal development.

Authors:  David U Gorkin; Iros Barozzi; Yuan Zhao; Yanxiao Zhang; Hui Huang; Ah Young Lee; Bin Li; Joshua Chiou; Andre Wildberg; Bo Ding; Bo Zhang; Mengchi Wang; J Seth Strattan; Jean M Davidson; Yunjiang Qiu; Veena Afzal; Jennifer A Akiyama; Ingrid Plajzer-Frick; Catherine S Novak; Momoe Kato; Tyler H Garvin; Quan T Pham; Anne N Harrington; Brandon J Mannion; Elizabeth A Lee; Yoko Fukuda-Yuzawa; Yupeng He; Sebastian Preissl; Sora Chee; Jee Yun Han; Brian A Williams; Diane Trout; Henry Amrhein; Hongbo Yang; J Michael Cherry; Wei Wang; Kyle Gaulton; Joseph R Ecker; Yin Shen; Diane E Dickel; Axel Visel; Len A Pennacchio; Bing Ren
Journal:  Nature       Date:  2020-07-29       Impact factor: 69.504

9.  Synthetic and genomic regulatory elements reveal aspects of cis-regulatory grammar in mouse embryonic stem cells.

Authors:  Dana M King; Clarice Kit Yee Hong; James L Shepherdson; David M Granas; Brett B Maricque; Barak A Cohen
Journal:  Elife       Date:  2020-02-11       Impact factor: 8.140

10.  A systematic evaluation of the design and context dependencies of massively parallel reporter assays.

Authors:  Jason C Klein; Vikram Agarwal; Fumitaka Inoue; Aidan Keith; Beth Martin; Martin Kircher; Nadav Ahituv; Jay Shendure
Journal:  Nat Methods       Date:  2020-10-12       Impact factor: 47.990

View more
  3 in total

1.  DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic enhancers.

Authors:  Bernardo P de Almeida; Franziska Reiter; Michaela Pagani; Alexander Stark
Journal:  Nat Genet       Date:  2022-05-12       Impact factor: 41.307

2.  Analysis of long and short enhancers in melanoma cell states.

Authors:  David Mauduit; Ibrahim Ihsan Taskiran; Liesbeth Minnoye; Maxime de Waegeneer; Valerie Christiaens; Gert Hulselmans; Jonas Demeulemeester; Jasper Wouters; Stein Aerts
Journal:  Elife       Date:  2021-12-07       Impact factor: 8.140

Review 3.  Cancer Cell Phenotype Plasticity as a Driver of Immune Escape in Melanoma.

Authors:  Valentin Benboubker; Félix Boivin; Stéphane Dalle; Julie Caramel
Journal:  Front Immunol       Date:  2022-03-29       Impact factor: 8.786

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.