TY - JOUR
T1 - A Pipeline for Faecal Host DNA Analysis by Absolute Quantification of LINE-1 and Mitochondrial Genomic Elements Using ddPCR
AU - He, Kuang
AU - Fujiwara, Hideaki
AU - Zajac, Cynthia
AU - Sandford, Erin
AU - Reddy, Pavan
AU - Choi, Sung Won
AU - Tewari, Muneesh
N1 - Funding Information:
We thank Elena Stoffel for assistance with obtaining some of the stool specimens from healthy controls; Missy Tuck, Kirk Herman, and Annika Goicochea for coordinating specimen collections; David Hyland, Ryan Lindstrom, Tyler Suciu, Joshua Weber-Townsend, Ricardo Engel, and Ruta Raulickis for assistance with specimen processing; and Nicholas W. Lukacs and Judith Luborsky for critical comments and assistance in editing the manuscript. K.H. was supported by a Clinical and Translational Science Award (CTSA) from the National Institutes of Health. H.F. was supported by JSPS Postdoctoral Fellowships for Research Abroad and The YASUDA Medical Foundation Grants for Research Abroad. M.T. and S.W.C. acknowledge support from an A. Alfred Taubman Medical Research Institute Grand Challenge Award. P.R. acknowledges support from National Institutes of Health grants CA203542; CA217156; HL128046. M.T. acknowledges support from Mary Petrovich through the University of Michigan Fast Forward Gastrointestinal (GI) Innovation Fund and from the University of Michigan Comprehensive Cancer Center Support Grant.
Publisher Copyright:
© 2019, The Author(s).
PY - 2019/12/1
Y1 - 2019/12/1
N2 - Stool contains DNA shed from cells of the gastrointestinal (GI) tract and has great potential as a bio-specimen for non-invasive, nucleic acid-based detection of GI diseases. Whereas methods for studying faecal microbiome DNA are plentiful, there is a lack of well-characterised procedures for stabilisation, isolation, and quantitative analysis of faecal host DNA. We report an optimised pipeline for faecal host DNA analysis from the point-of-collection to droplet digital PCR (ddPCR) absolute quantification of host-specific gene targets. We evaluated multiple methods for preservation and isolation of host DNA from stool to identify the highest performing methods. To quantify host DNA even if present in partially degraded form, we developed sensitive, human-specific short-amplicon ddPCR assays targeting repetitive nuclear genomic elements (LINE-1) and mitochondrial genes. We validated the ability of these optimised methods to perform absolute quantification of host DNA in 200 stool DNA extracts from samples that were serially collected from three healthy individuals and three hospitalised patients. These specimens allowed assessment of host DNA day-to-day variability in stool specimens with widely varying physical characteristics (i.e., Bristol scores). We further extended this approach to mouse stool analysis, to enable faecal host DNA studies in animal disease models as well.
AB - Stool contains DNA shed from cells of the gastrointestinal (GI) tract and has great potential as a bio-specimen for non-invasive, nucleic acid-based detection of GI diseases. Whereas methods for studying faecal microbiome DNA are plentiful, there is a lack of well-characterised procedures for stabilisation, isolation, and quantitative analysis of faecal host DNA. We report an optimised pipeline for faecal host DNA analysis from the point-of-collection to droplet digital PCR (ddPCR) absolute quantification of host-specific gene targets. We evaluated multiple methods for preservation and isolation of host DNA from stool to identify the highest performing methods. To quantify host DNA even if present in partially degraded form, we developed sensitive, human-specific short-amplicon ddPCR assays targeting repetitive nuclear genomic elements (LINE-1) and mitochondrial genes. We validated the ability of these optimised methods to perform absolute quantification of host DNA in 200 stool DNA extracts from samples that were serially collected from three healthy individuals and three hospitalised patients. These specimens allowed assessment of host DNA day-to-day variability in stool specimens with widely varying physical characteristics (i.e., Bristol scores). We further extended this approach to mouse stool analysis, to enable faecal host DNA studies in animal disease models as well.
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U2 - 10.1038/s41598-019-41753-6
DO - 10.1038/s41598-019-41753-6
M3 - Article
C2 - 30944341
AN - SCOPUS:85063932996
SN - 2045-2322
VL - 9
JO - Scientific reports
JF - Scientific reports
IS - 1
M1 - 5599
ER -