Literature DB >> 33432081

epihet for intra-tumoral epigenetic heterogeneity analysis and visualization.

Xiaowen Chen1, Haitham Ashoor1, Ryan Musich1, Jiahui Wang1, Mingsheng Zhang1, Chao Zhang2, Mingyang Lu3, Sheng Li4,5,6,7.   

Abstract

Intra-tumoral epigenetic heterogeneity is an indicator of tumor population fitness and is linked to the deregulation of transcription. However, there is no published computational tool to automate the measurement of intra-tumoral epigenetic allelic heterogeneity. We developed an R/Bioconductor package, epihet, to calculate the intra-tumoral epigenetic heterogeneity and to perform differential epigenetic heterogeneity analysis. Furthermore, epihet can implement a biological network analysis workflow for transforming cancer-specific differential epigenetic heterogeneity loci into cancer-related biological function and clinical biomarkers. Finally, we demonstrated epihet utility on acute myeloid leukemia. We found statistically significant differential epigenetic heterogeneity (DEH) loci compared to normal controls and constructed co-epigenetic heterogeneity network and modules. epihet is available at https://bioconductor.org/packages/release/bioc/html/epihet.html .

Entities:  

Mesh:

Year:  2021        PMID: 33432081      PMCID: PMC7801679          DOI: 10.1038/s41598-020-79627-x

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  22 in total

Review 1.  The new frontier of epigenetic heterogeneity in B-cell neoplasms.

Authors:  Pilar M Dominguez; Matt Teater; Rita Shaknovich
Journal:  Curr Opin Hematol       Date:  2017-07       Impact factor: 3.284

2.  Epigenetic polymorphism and the stochastic formation of differentially methylated regions in normal and cancerous tissues.

Authors:  Gilad Landan; Netta Mendelson Cohen; Zohar Mukamel; Amir Bar; Alina Molchadsky; Ran Brosh; Shirley Horn-Saban; Daniela Amann Zalcenstein; Naomi Goldfinger; Adi Zundelevich; Einav Nili Gal-Yam; Varda Rotter; Amos Tanay
Journal:  Nat Genet       Date:  2012-10-14       Impact factor: 38.330

3.  Epigenetic Identity in AML Depends on Disruption of Nonpromoter Regulatory Elements and Is Affected by Antagonistic Effects of Mutations in Epigenetic Modifiers.

Authors:  Jacob L Glass; Duane Hassane; Bas J Wouters; Hiroyoshi Kunimoto; Roberto Avellino; Francine E Garrett-Bakelman; Olga A Guryanova; Robert Bowman; Shira Redlich; Andrew M Intlekofer; Cem Meydan; Tingting Qin; Mame Fall; Alicia Alonso; Monica L Guzman; Peter J M Valk; Craig B Thompson; Ross Levine; Olivier Elemento; Ruud Delwel; Ari Melnick; Maria E Figueroa
Journal:  Cancer Discov       Date:  2017-04-13       Impact factor: 38.272

4.  Leukemic IDH1 and IDH2 mutations result in a hypermethylation phenotype, disrupt TET2 function, and impair hematopoietic differentiation.

Authors:  Maria E Figueroa; Omar Abdel-Wahab; Chao Lu; Patrick S Ward; Jay Patel; Alan Shih; Yushan Li; Neha Bhagwat; Aparna Vasanthakumar; Hugo F Fernandez; Martin S Tallman; Zhuoxin Sun; Kristy Wolniak; Justine K Peeters; Wei Liu; Sung E Choe; Valeria R Fantin; Elisabeth Paietta; Bob Löwenberg; Jonathan D Licht; Lucy A Godley; Ruud Delwel; Peter J M Valk; Craig B Thompson; Ross L Levine; Ari Melnick
Journal:  Cancer Cell       Date:  2010-12-09       Impact factor: 38.585

5.  Reduced representation bisulfite sequencing for comparative high-resolution DNA methylation analysis.

Authors:  Alexander Meissner; Andreas Gnirke; George W Bell; Bernard Ramsahoye; Eric S Lander; Rudolf Jaenisch
Journal:  Nucleic Acids Res       Date:  2005-10-13       Impact factor: 16.971

6.  EntropyExplorer: an R package for computing and comparing differential Shannon entropy, differential coefficient of variation and differential expression.

Authors:  Kai Wang; Charles A Phillips; Arnold M Saxton; Michael A Langston
Journal:  BMC Res Notes       Date:  2015-12-30

7.  Pan-cancer patterns of DNA methylation.

Authors:  Tania Witte; Christoph Plass; Clarissa Gerhauser
Journal:  Genome Med       Date:  2014-08-30       Impact factor: 11.117

8.  Multiple network algorithm for epigenetic modules via the integration of genome-wide DNA methylation and gene expression data.

Authors:  Xiaoke Ma; Zaiyi Liu; Zhongyuan Zhang; Xiaotai Huang; Wanxin Tang
Journal:  BMC Bioinformatics       Date:  2017-01-31       Impact factor: 3.169

9.  Pan-cancer analysis of frequent DNA co-methylation patterns reveals consistent epigenetic landscape changes in multiple cancers.

Authors:  Jie Zhang; Kun Huang
Journal:  BMC Genomics       Date:  2017-01-25       Impact factor: 3.969

10.  WGCNA: an R package for weighted correlation network analysis.

Authors:  Peter Langfelder; Steve Horvath
Journal:  BMC Bioinformatics       Date:  2008-12-29       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.