Literature DB >> 28129029

Chromosome conformation and gene expression patterns differ profoundly in human fibroblasts grown in spheroids versus monolayers.

Haiming Chen1, Laura Seaman1, Sijia Liu1, Thomas Ried2, Indika Rajapakse1,3.   

Abstract

Human cells derived for in vitro cultures are conventionally grown as adherent monolayers (2D) which do not resemble natural 3 dimensional (3D) tissue architecture. We examined genome structure with chromosome conformation capture (Hi-C) and gene expression with RNA-seq in fibroblasts derived from human foreskin grown in 2D and 3D conditions. Our combined analysis of Hi-C and RNA-seq data shows a large number of differentially expressed genes between 2D and 3D cells, and these changes are localized in genomic regions that displayed structural changes. We also find a trend of expression in a subset of skin-specific genes in fibroblast cells grown in 3D that resembles those in native tissue.

Entities:  

Keywords:  Fiedler number; Gene Ontology; form; function; nucleome; topologically associating domain

Mesh:

Year:  2017        PMID: 28129029      PMCID: PMC5597289          DOI: 10.1080/19491034.2017.1280209

Source DB:  PubMed          Journal:  Nucleus        ISSN: 1949-1034            Impact factor:   4.197


  23 in total

1.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Authors:  K J Livak; T D Schmittgen
Journal:  Methods       Date:  2001-12       Impact factor: 3.608

2.  Expression of human skin-specific genes defined by transcriptomics and antibody-based profiling.

Authors:  Per-Henrik D Edqvist; Linn Fagerberg; Björn M Hallström; Angelika Danielsson; Karolina Edlund; Mathias Uhlén; Fredrik Pontén
Journal:  J Histochem Cytochem       Date:  2014-11-19       Impact factor: 2.479

3.  Spectral identification of topological domains.

Authors:  Jie Chen; Alfred O Hero; Indika Rajapakse
Journal:  Bioinformatics       Date:  2016-05-05       Impact factor: 6.937

Review 4.  Organoids: Modeling Development and the Stem Cell Niche in a Dish.

Authors:  Kai Kretzschmar; Hans Clevers
Journal:  Dev Cell       Date:  2016-09-26       Impact factor: 12.270

5.  Identifying biological themes within lists of genes with EASE.

Authors:  Douglas A Hosack; Glynn Dennis; Brad T Sherman; H Clifford Lane; Richard A Lempicki
Journal:  Genome Biol       Date:  2003-09-11       Impact factor: 13.583

6.  Detection of specific polymerase chain reaction product by utilizing the 5'----3' exonuclease activity of Thermus aquaticus DNA polymerase.

Authors:  P M Holland; R D Abramson; R Watson; D H Gelfand
Journal:  Proc Natl Acad Sci U S A       Date:  1991-08-15       Impact factor: 11.205

Review 7.  Modeling Development and Disease with Organoids.

Authors:  Hans Clevers
Journal:  Cell       Date:  2016-06-16       Impact factor: 41.582

8.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

9.  TopHat: discovering splice junctions with RNA-Seq.

Authors:  Cole Trapnell; Lior Pachter; Steven L Salzberg
Journal:  Bioinformatics       Date:  2009-03-16       Impact factor: 6.937

Review 10.  Three-dimensional cell culture: a breakthrough in vivo.

Authors:  Delphine Antoni; Hélène Burckel; Elodie Josset; Georges Noel
Journal:  Int J Mol Sci       Date:  2015-03-11       Impact factor: 5.923

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  5 in total

1.  The pharmacoepigenomics informatics pipeline defines a pathway of novel and known warfarin pharmacogenomics variants.

Authors:  Ari Allyn-Feuer; Alex Ade; Jasmine A Luzum; Gerald A Higgins; Brian D Athey
Journal:  Pharmacogenomics       Date:  2018-02-05       Impact factor: 2.533

2.  Emerin modulates spatial organization of chromosome territories in cells on softer matrices.

Authors:  Roopali Pradhan; Devika Ranade; Kundan Sengupta
Journal:  Nucleic Acids Res       Date:  2018-06-20       Impact factor: 16.971

3.  Reorganization of 3D genome structure may contribute to gene regulatory evolution in primates.

Authors:  Ittai E Eres; Kaixuan Luo; Chiaowen Joyce Hsiao; Lauren E Blake; Yoav Gilad
Journal:  PLoS Genet       Date:  2019-07-19       Impact factor: 6.020

4.  Genome-wide transcriptome analysis reveals equine embryonic stem cell-derived tenocytes resemble fetal, not adult tenocytes.

Authors:  Y Z Paterson; A Cribbs; M Espenel; E J Smith; F M D Henson; D J Guest
Journal:  Stem Cell Res Ther       Date:  2020-05-19       Impact factor: 6.832

Review 5.  RNA sequencing: new technologies and applications in cancer research.

Authors:  Mingye Hong; Shuang Tao; Ling Zhang; Li-Ting Diao; Xuanmei Huang; Shaohui Huang; Shu-Juan Xie; Zhen-Dong Xiao; Hua Zhang
Journal:  J Hematol Oncol       Date:  2020-12-04       Impact factor: 17.388

  5 in total

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