Analysis of recurrently protected genomic regions in cell-free DNA found in urine.
Analysis of recurrently protected genomic regions in cell-free DNA found in urine.
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DOI:
10.1126/scitranslmed.aaz3088
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发表时间:
2021-02-17
影响因子:
17.1
通讯作者:
中科院分区:
文献类型:
--
作者:
Cell-free DNA (cfDNA) in urine is a promising analyte for noninvasive diagnostics. However, urine cfDNA is highly fragmented. Whether characteristics of these fragments reflect underlying genomic architecture is unknown. Here, we characterized fragmentation patterns in urine cfDNA using whole genome sequencing. Size distribution of urine cfDNA fragments showed multiple strong peaks between 40 bp and 120 bp with a modal size of 81 bp and sharp 10 bp periodicity, suggesting transient protection from complete degradation. These properties were robust to pre-analytical perturbations, such as at-home collection and delay in processing. Genome-wide sequencing coverage of urine cfDNA fragments revealed recurrently protected regions (RPRs) conserved across individuals, with partial overlap with nucleosome positioning maps inferred from plasma cfDNA. The ends of cfDNA fragments clustered upstream and downstream of RPRs, and nucleotide frequencies of fragment ends indicated enzymatic digestion of urine cfDNA. Compared to plasma, fragmentation patterns in urine cfDNA showed greater correlation with gene expression and chromatin accessibility in epithelial cells of the urinary tract. We determined that tumor-derived urine cfDNA exhibits a higher frequency of aberrant fragments that end within RPRs. By comparing the fraction of aberrant fragments and nucleotide frequencies of fragment ends, we identified urine samples from cancer patients with an area under the curve of 0.89. Our results revealed non-random genomic positioning of urine cfDNA fragments and suggested that analysis of fragmentation patterns across recurrently protected genomic loci may serve as a cancer diagnostic. Fragmentation patterns of cell-free DNA from urine differ between healthy individuals and those with cancer.
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DOI:
10.1093/annonc/mdu479
发表时间:
2015-01
期刊:
Annals of oncology : official journal of the European Society for Medical Oncology
影响因子:
--
作者:
Favero F;Joshi T;Marquard AM;Birkbak NJ;Krzystanek M;Li Q;Szallasi Z;Eklund AC
通讯作者:
Eklund AC
DOI:
10.1093/bioinformatics/btq033
发表时间:
2010-03-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Quinlan AR;Hall IM
通讯作者:
Hall IM
影响因子:
4.6
作者:
Markus H;Contente-Cuomo T;Farooq M;Liang WS;Borad MJ;Sivakumar S;Gollins S;Tran NL;Dhruv HD;Berens ME;Bryce A;Sekulic A;Ribas A;Trent JM;LoRusso PM;Murtaza M
通讯作者:
Murtaza M
影响因子:
8.3
作者:
Burnham, Philip;Khush, Kiran;De Vlaminck, Iwijn
通讯作者:
De Vlaminck, Iwijn
DOI:
10.1126/science.1222794
发表时间:
2012-09-07
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Maurano MT;Humbert R;Rynes E;Thurman RE;Haugen E;Wang H;Reynolds AP;Sandstrom R;Qu H;Brody J;Shafer A;Neri F;Lee K;Kutyavin T;Stehling-Sun S;Johnson AK;Canfield TK;Giste E;Diegel M;Bates D;Hansen RS;Neph S;Sabo PJ;Heimfeld S;Raubitschek A;Ziegler S;Cotsapas C;Sotoodehnia N;Glass I;Sunyaev SR;Kaul R;Stamatoyannopoulos JA
通讯作者:
Stamatoyannopoulos JA