scholarly journals Toll‐like receptor 9, maternal cell‐free DNA and myometrial cell response to CpG oligodeoxynucleotide stimulation

2019 ◽  
Vol 81 (4) ◽  
pp. e13100 ◽  
Author(s):  
Stacy Beck ◽  
Irina A. Buhimschi ◽  
Taryn L. Summerfield ◽  
William E. Ackerman ◽  
Ozlem Guzeloglu‐Kayisli ◽  
...  
2016 ◽  
Vol 214 (1) ◽  
pp. S139
Author(s):  
Stacy Beck ◽  
Irina A. Buhimschi ◽  
Guomao Zhao ◽  
William Ackerman ◽  
Taryn Summerfield ◽  
...  

BioTechniques ◽  
2020 ◽  
Author(s):  
Luca Bedon ◽  
Josef Vuch ◽  
Simeone Dal Monego ◽  
Germana Meroni ◽  
Vanna Pecile ◽  
...  

The discovery of circulating fetal DNA in the plasma of pregnant women has greatly promoted advances in noninvasive prenatal testing. Screening performance is enhanced with higher fetal fraction and analysis of samples whose fetal DNA fraction is lower than 4% are unreliable. Although current approaches to fetal fraction measurement are accurate, most of them are expensive and time consuming. Here we present a simple and cost-effective solution that provides a quick and reasonably accurate fetal fraction by directly evaluating the size distribution of circulating DNA fragments in the extracted maternal cell-free DNA. The presented approach could be useful in the presequencing stage of noninvasive prenatal testing to evaluate whether the sample is suitable for the test or a repeat blood draw is recommended.


2019 ◽  
Vol 40 (2) ◽  
pp. 270-272
Author(s):  
Jian Li ◽  
Li Zhen ◽  
Min Pan ◽  
Dong-Zhi Li

2017 ◽  
Vol 216 (1) ◽  
pp. S64
Author(s):  
Robert Currier ◽  
Monica Flessel ◽  
Sara Goldman ◽  
Richard Olney

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Juozas Gordevičius ◽  
Milda Narmontė ◽  
Povilas Gibas ◽  
Kotryna Kvederavičiūtė ◽  
Vita Tomkutė ◽  
...  

Abstract Background Massively parallel sequencing of maternal cell-free DNA (cfDNA) is widely used to test fetal genetic abnormalities in non-invasive prenatal testing (NIPT). However, sequencing-based approaches are still of high cost. Building upon previous knowledge that placenta, the main source of fetal circulating DNA, is hypomethylated in comparison to maternal tissue counterparts of cfDNA, we propose that targeting either unmodified or 5-hydroxymethylated CG sites specifically enriches fetal genetic material and reduces numbers of required analytical sequencing reads thereby decreasing cost of a test. Methods We employed uTOPseq and hmTOP-seq approaches which combine covalent derivatization of unmodified or hydroxymethylated CG sites, respectively, with next generation sequencing, or quantitative real-time PCR. Results We detected increased 5-hydroxymethylcytosine (5hmC) levels in fetal chorionic villi (CV) tissue samples as compared with peripheral blood. Using our previously developed uTOP-seq and hmTOP-seq approaches we obtained whole-genome uCG and 5hmCG maps of 10 CV tissue and 38 cfDNA samples in total. Our results indicated that, in contrast to conventional whole genome sequencing, such epigenomic analysis highly specifically enriches fetal DNA fragments from maternal cfDNA. While both our approaches yielded 100% accuracy in detecting Down syndrome in fetuses, hmTOP-seq maintained such accuracy at ultra-low sequencing depths using only one million reads. We identified 2164 and 1589 placenta-specific differentially modified and 5-hydroxymethylated regions, respectively, in chromosome 21, as well as 3490 and 2002 Down syndrome-specific differentially modified and 5-hydroxymethylated regions, respectively, that can be used as biomarkers for identification of Down syndrome or other epigenetic diseases of a fetus. Conclusions uTOP-seq and hmTOP-seq approaches provide a cost-efficient and sensitive epigenetic analysis of fetal abnormalities in maternal cfDNA. The results demonstrated that T21 fetuses contain a perturbed epigenome and also indicated that fetal cfDNA might originate from fetal tissues other than placental chorionic villi. Robust covalent derivatization followed by targeted analysis of fetal DNA by sequencing or qPCR presents an attractive strategy that could help achieve superior sensitivity and specificity in prenatal diagnostics.


2015 ◽  
Vol 17 (10) ◽  
pp. 836-838 ◽  
Author(s):  
Svetlana A. Yatsenko ◽  
David G. Peters ◽  
Devereux N. Saller ◽  
Tianjiao Chu ◽  
Michelle Clemens ◽  
...  
Keyword(s):  

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Baohong Liu ◽  
Xiaoyan Tang ◽  
Feng Qiu ◽  
Chunmei Tao ◽  
Junhui Gao ◽  
...  

Background. With the development of massively parallel sequencing (MPS), noninvasive prenatal diagnosis using maternal cell-free DNA is fast becoming the preferred method of fetal chromosomal abnormality detection, due to its inherent high accuracy and low risk. Typically, MPS data is parsed to calculate a risk score, which is used to predict whether a fetal chromosome is normal or not. Although there are several highly sensitive and specific MPS data-parsing algorithms, there are currently no tools that implement these methods.Results. We developed an R package, detection of autosomal abnormalities for fetus (DASAF), that implements the three most popular trisomy detection methods—the standardZ-score (STDZ) method, the GC correctionZ-score (GCCZ) method, and the internal referenceZ-score (IRZ) method—together with one subchromosome abnormality identification method (SCAZ).Conclusions. With the cost of DNA sequencing declining and with advances in personalized medicine, the demand for noninvasive prenatal testing will undoubtedly increase, which will in turn trigger an increase in the tools available for subsequent analysis. DASAF is a user-friendly tool, implemented in R, that supports identification of whole-chromosome as well as subchromosome abnormalities, based on maternal cell-free DNA sequencing data after genome mapping.


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