2022
DOI: 10.1038/s41587-022-01222-4
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Inferring gene expression from cell-free DNA fragmentation profiles

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Cited by 114 publications
(82 citation statements)
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“…We observed lowly accessible regions are associated with higher fragment length and increased local sequencing depth. This association was recently shown to become stronger with deeper sequencing of cfDNA 52 .…”
Section: Discussionmentioning
confidence: 95%
See 1 more Smart Citation
“…We observed lowly accessible regions are associated with higher fragment length and increased local sequencing depth. This association was recently shown to become stronger with deeper sequencing of cfDNA 52 .…”
Section: Discussionmentioning
confidence: 95%
“…Furthermore, we and others have previously shown that chromatin accessibility affects fragmentation patterns observed in cfDNA 25 27 and targeting tissue-specific chromatin regions such as transcription factor binding sites allows for novel panel designs based on epigenetic patterns rather than genetic alterations 31 . A recent study further demonstrated the application of targeted sequencing of TSS regions in gene expression estimation and subtype classification for lung cancer and lymphoma 52 .…”
Section: Discussionmentioning
confidence: 99%
“…8, 13, 20 . Third, differences in chromatin structure between neoplastic and non-neoplastic cells are known to alter the fragmentation patterns of cell-free DNA and could explain both cell-type specific and cancer-specific changes 7-8, 11, 14, 29-31 . Further research will be required to determine the relative importance of these three potential explanations.…”
Section: Discussionmentioning
confidence: 99%
“…Most recently, a novel approach for analyzing expression based on cfDNA fragmentomics was developed that measured fragment length diversity to infer RNA expression levels at individual genes [ 40 ]. The working hypothesis was that cfDNA fragments from active promoters would display more random cleavage than fragments from inactive promoters due to the difference in nucleosome occupancy.…”
Section: Epigenetic-based Biomarkers In Liquid Biopsymentioning
confidence: 99%
“…Employing this analysis method to plasma samples could classify subtypes of lung carcinoma and diffuse large B cell lymphoma. Further, it was possible to correlate gene expression profiles with clinical response in serial blood samples from patients with PD-(L)1 immune checkpoint inhibitors treatment [ 40 ].…”
Section: Epigenetic-based Biomarkers In Liquid Biopsymentioning
confidence: 99%