Skip to main content

Microbiota and Epigenetic Regulation of Inflammatory Mediators

  • Protocol
  • First Online:
Epigenetics and Gene Expression in Cancer, Inflammatory and Immune Diseases

Part of the book series: Methods in Pharmacology and Toxicology ((MIPT))

  • 989 Accesses

Abstract

Bacteria and bacterial derived metabolites are known to influence the host epigenetic regulation patterns such as DNA methylation and histone modifications, thus altering the expression of critical genes in pathologic processes, for example in metabolic syndrome. Fermentation end products, especially butyrate and LPS (lipopolysaccharides), the latter being cell-wall components of gram-negative bacteria, have been suggested as bioactive metabolites influencing epigenetic modifications by directly influencing enzymes catalyzing epigenetic modifications, by altering the availability of substrates, or by interactions with receptors. Thus, identification and quantification of gut microbiota via molecular based methods are of importance to address different epigenetic patterns and gene expression. We discuss methods for microbiota, epigenetic methylation, and expression analysis of our own research which will have a role in future studies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Abbreviations

AMV:

Avian myeloblastosis virus

APS:

Ammonium persulfate solution

BGS:

Bisulfite genomic sequencing

cDNA:

Complementary DNA

DGGE:

Denaturing gradient gel electrophoresis

DNMT1:

DNA-methyltransferase 1

EDTA:

Ethylenediaminetetraacetic acid

FRAR3:

Free fatty acid receptor 3

FRET:

Fluorescence resonance energy transfer

HDACs:

Histone deacetylases

LPS:

Lipopolysaccharide

5mC:

5-methylcytosine

MeDIP:

Methylated DNA immunoprecipitation

MMLV:

Moloney murine leukemia virus

MSRE:

Methylation sensitive restriction enzyme

NF-kB:

Nuclease factor kB

PTM:

Posttranslational modification

qPCR:

Quantitative real-time polymerase chain reaction

RT:

Reverse transcription

SCFAs:

Short chain fatty acids

SEM:

Structural equation modelling

TE buffer:

Tris-EDTA buffer

TEMED:

N,N,N,N-tetramethylethylenediamine

TLR:

Toll-like receptor

References

  1. Aziz Q, Doré J, Emmanuel A, Guarner F, Quigley EM (2013) Gut microbiota and gastrointestinal health: current concepts and future directions. Neurogastroenterol Motil 25(1):4–15

    Article  CAS  PubMed  Google Scholar 

  2. Larsen N, Vogensen FK, van den Berg FW, Nielsen DS, Andreasen AS, Pedersen BK, Al-Soud WA, Sorensen SJ, Hansen LH, Jakobsen M (2010) Gut microbiota in human adults with type 2 diabetes differs from non-diabetic adults. PLoS One 5(2), e9085

    Article  PubMed  PubMed Central  Google Scholar 

  3. Vrieze A, Holleman F, Zoetendal EG, de Vos WM, Hoekstra JB, Nieuwdorp M (2010) The environment within: how gut microbiota may influence metabolism and body composition. Diabetologia 53(4):606–613

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Creely SJ, McTernan PG, Kusminski CM, Fisher FM, Da Silva NF, Khanolkar M, Evans M, Harte AL, Kumar S (2007) Lipopolysaccharide activates an innate immune system response in human adipose tissue in obesity and type 2 diabetes. Am J Physiol Endocrinol Metab 292(3):E740–E747

    Article  CAS  PubMed  Google Scholar 

  5. Remely M, Aumueller E, Jahn D, Hippe B, Brath H, Haslberger AG (2014) Microbiota and epigenetic regulation of inflammatory mediators in type 2 diabetes and obesity. Benef Microbes 5(1):33–43

    Article  CAS  PubMed  Google Scholar 

  6. Remely M, Aumueller E, Merold C, Dworzak S, Hippe B, Zanner J, Pointner A, Brath H, Haslberger AG (2013) Effects of short chain fatty acid producing bacteria on epigenetic regulation of FFAR3 in type 2 diabetes and obesity. Gene 537(1):85–92

    Article  PubMed  Google Scholar 

  7. Canani RB, Costanzo MD, Leone L, Bedogni G, Brambilla P, Cianfarani S, Nobili V, Pietrobelli A, Agostoni C (2011) Epigenetic mechanisms elicited by nutrition in early life. Nutr Res Rev 24(2):198–205

    Article  CAS  PubMed  Google Scholar 

  8. Dahaliwal A (2013) DNA extraction and purification. Mater Methods 3(191)

    Google Scholar 

  9. Kotorashvili A, Ramnauth A, Liu C, Lin J, Ye K, Kim R, Hazan R, Rohan T, Fineberg S, Loudig O (2012) Effective DNA/RNA co-extraction for analysis of microRNAs, mRNAs, and genomic DNA from formalin-fixed paraffin-embedded specimens. PLoS One 7(4), e34683

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Wilfinger WW, Mackey K, Chomczynski P (1997) Effect of pH and ionic strength on the spectrophotometric assessment of nucleic acid purity. Biotechniques 22(3):474–476, 478-81

    CAS  PubMed  Google Scholar 

  11. Muyzer G, de Waal EC, Uitterlinden AG (1993) Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction-amplified genes coding for 16S rRNA. Appl Environ Microbiol 59(3):695–700

    CAS  PubMed  PubMed Central  Google Scholar 

  12. Neefs JM, Van de Peer Y, De Rijk P, Goris A, De Wachter R (1991) Compilation of small ribosomal subunit RNA sequences. Nucleic Acids Res 19(Suppl):1987–2015

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Muyzer G, Smalla K (1998) Application of denaturing gradient gel electrophoresis (DGGE) and temperature gradient gel electrophoresis (TGGE) in microbial ecology. Antonie Van Leeuwenhoek 73(1):127–141

    Article  CAS  PubMed  Google Scholar 

  14. Beutler E, Gelbart T, Kuhl W (1990) Interference of heparin with the polymerase chain reaction. Biotechniques 9(2):166

    CAS  PubMed  Google Scholar 

  15. Willems M, Moshage H, Nevens F, Fevery J, Yap SH (1993) Plasma collected from heparinized blood is not suitable for HCV-RNA detection by conventional RT-PCR assay. J Virol Methods 42(1):127–130

    Article  CAS  PubMed  Google Scholar 

  16. (1993) Recommendations of the International Council for Standardization in Haematology for Ethylenediaminetetraacetic Acid Anticoagulation of Blood for Blood Cell Counting and Sizing. International Council for Standardization in Haematology: Expert Panel on Cytometry. Am J Clin Pathol 100(4):371–372

    Google Scholar 

  17. Raabe BM, Artwohl JE, Purcell JE, Lovaglio J, Fortman JD (2011) Effects of weekly blood collection in C57BL/6 mice. J Am Assoc Lab Anim Sci 50(5):680–685

    CAS  PubMed  PubMed Central  Google Scholar 

  18. Bustin SA (2000) Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays. J Mol Endocrinol 25(2):169–193

    Article  CAS  PubMed  Google Scholar 

  19. Griffiths-Jones S (2006) miRBase: the microRNA sequence database. Methods Mol Biol 342:129–138

    CAS  PubMed  Google Scholar 

  20. Bui TV, Mendell JT (2010) Myc: maestro of MicroRNAs. Genes Cancer 1(6):568–575

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Langevin SM, Stone RA, Bunker CH, Grandis JR, Sobol RW, Taioli E (2010) MicroRNA-137 promoter methylation in oral rinses from patients with squamous cell carcinoma of the head and neck is associated with gender and body mass index. Carcinogenesis 31(5):864–870

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Langevin SM, Stone RA, Bunker CH, Lyons-Weiler MA, LaFramboise WA, Kelly L, Seethala RR, Grandis JR, Sobol RW, Taioli E (2011) MicroRNA-137 promoter methylation is associated with poorer overall survival in patients with squamous cell carcinoma of the head and neck. Cancer 117(7):1454–1462

    Article  CAS  PubMed  Google Scholar 

  23. Egger G, Wielscher M, Pulverer W, Kriegner A, Weinhausel A (2012) DNA methylation testing and marker validation using PCR: diagnostic applications. Expert Rev Mol Diagn 12(1):75–92

    Article  CAS  PubMed  Google Scholar 

  24. Noehammer C, Pulverer W, Hassler MR, Hofner M, Wielscher M, Vierlinger K, Liloglou T, McCarthy D, Jensen TJ, Nygren A, Gohlke H, Trooskens G, Braspenning M, Van Criekinge W, Egger G, Weinhaeusel A (2014) Strategies for validation and testing of DNA methylation biomarkers. Epigenomics 6(6):603–622

    Article  CAS  PubMed  Google Scholar 

  25. Pulverer W, Hofner M, Preusser M, Dirnberger E, Hainfellner JA, Weinhaeusel A (2014) A simple quantitative diagnostic alternative for MGMT DNA-methylation testing on RCL2 fixed paraffin embedded tumors using restriction coupled qPCR. Clin Neuropathol 33(1):50–60

    Article  PubMed  Google Scholar 

  26. Morris T, Lowe R (2012) Report on the Infinium 450 k methylation array analysis workshop: April 20, 2012 UCL, London, UK. Epigenetics 7(8):961–962

    Article  PubMed  PubMed Central  Google Scholar 

  27. Fortin JP, Fertig E, Hansen K (2014) shinyMethyl: interactive quality control of Illumina 450k DNA methylation arrays in R. F1000Res 3:175

    PubMed  PubMed Central  Google Scholar 

  28. Fortin JP, Labbe A, Lemire M, Zanke BW, Hudson TJ, Fertig EJ, Greenwood CM, Hansen KD (2014) Functional normalization of 450 k methylation array data improves replication in large cancer studies. Genome Biol 15(11):503

    Article  PubMed  PubMed Central  Google Scholar 

  29. Martens JH, Stunnenberg HG (2013) BLUEPRINT: mapping human blood cell epigenomes. Haematologica 98(10):1487–1489

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Martens JH, Stunnenberg HG, Logie C (2011) The decade of the epigenomes? Genes Cancer 2(6):680–687

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Ptitsyn AA, Weil MM, Thamm DH (2008) Systems biology approach to identification of biomarkers for metastatic progression in cancer. BMC Bioinformatics 9(Suppl 9):S8

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marlene Remely .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media LLC

About this protocol

Cite this protocol

Remely, M., Karlic, H., Rebhan, I., Greunz, M., Haslberger, A.G. (2017). Microbiota and Epigenetic Regulation of Inflammatory Mediators. In: Stefanska, B., MacEwan, D. (eds) Epigenetics and Gene Expression in Cancer, Inflammatory and Immune Diseases. Methods in Pharmacology and Toxicology. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6743-8_8

Download citation

  • DOI: https://doi.org/10.1007/978-1-4939-6743-8_8

  • Published:

  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-6741-4

  • Online ISBN: 978-1-4939-6743-8

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics