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PMID: 28899340 Published · epublish English Journal Article

Regulatory network changes between cell lines and their tissues of origin.

BMC genomics ·Vol. 18 ·No. 1 ·2017-09-12 ·Pages 723

Lopes-Ramos CM, Paulson JN, Chen CY, Kuijjer ML, Fagny M, Platig J, Sonawane AR, DeMeo DL, Quackenbush J, Glass K

Abstract

Cell lines are an indispensable tool in biomedical research and often used as surrogates for tissues. Although there are recognized important cellular and transcriptomic differences between cell lines and tissues, a systematic overview of the differences between the regulatory processes of a cell line and those of its tissue of origin has not been conducted. The RNA-Seq data generated by the GTEx project is the first available data resource in which it is possible to perform a large-scale transcriptional and regulatory network analysis comparing cell lines with their tissues of origin. We compared 127 paired Epstein-Barr virus transformed lymphoblastoid cell lines (LCLs) and whole blood samples, and 244 paired primary fibroblast cell lines and skin samples. While gene expression analysis confirms that these cell lines carry the expression signatures of their primary tissues, albeit at reduced levels, network analysis indicates that expression changes are the cumulative result of many previously unreported alterations in transcription factor (TF) regulation. More specifically, cell cycle genes are over-expressed in cell lines compared to primary tissues, and this alteration in expression is a result of less repressive TF targeting. We confirmed these regulatory changes for four TFs, including SMAD5, using independent ChIP-seq data from ENCODE. Our results provide novel insights into the regulatory mechanisms controlling the expression differences between cell lines and tissues. The strong changes in TF regulation that we observe suggest that network changes, in addition to transcriptional levels, should be considered when using cell lines as models for tissues.

Keywords
Fibroblast cell lines GTEx Lymphoblastoid cell lines Regulatory networks Transcriptome
MeSH Terms
Cell Cycle/genetics Cell Line Gene Expression Profiling Gene Regulatory Networks Humans Organ Specificity
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Lopes-Ramos Camila M
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA. | Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Paulson Joseph N
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA. | Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Chen Cho-Yi
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA. | Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Kuijjer Marieke L
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA. | Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Fagny Maud
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA. | Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Platig John
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA. | Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Sonawane Abhijeet R
Channing Division of Network Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
DeMeo Dawn L
Channing Division of Network Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA. | Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Quackenbush John
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA. [email protected]. | Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. [email protected]. | Channing Division of Network Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA. [email protected]. | Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA. [email protected].
Glass Kimberly
Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA. [email protected]. | Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. [email protected]. | Channing Division of Network Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA. [email protected].
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Article Info
Journal
BMC genomics
Abbr.
BMC Genomics
ISSN
1471-2164
Published
2017-09-12
Epub
2017-00-12
Pages
723
Language
English
Region
England
NLM ID
100965258
PMCID
PMC5596945
Subset
IM
Grants
NCI NIH HHS · R35 CA197449 · United States
NHLBI NIH HHS · K25 HL133599 · United States
NHLBI NIH HHS · P01 HL105339 · United States
NCI NIH HHS · U01 CA190234 · United States
NIAID NIH HHS · R01 AI099204 · United States
NCI NIH HHS · P50 CA127003 · United States
NCI NIH HHS · P30 CA006516 · United States
NHLBI NIH HHS · P01 HL114501 · United States
NHLBI NIH HHS · T32 HL007427 · United States
NHLBI NIH HHS · R01 HL111759 · United States
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