Universal Haplotype-Based Noninvasive Prenatal Testing for Single Gene Diseases.

BACKGROUND: Researchers have developed approaches for the noninvasive prenatal testing of single gene diseases. One approach that allows for the noninvasive assessment of both maternally and paternally inherited mutations involves the analysis of single nucleotide polymorphisms (SNPs) in maternal plasma DNA with reference to parental haplotype information. In the past, parental haplotypes were resolved by complex experimental methods or inferential approaches, such as through the analysis of DNA from other affected family members. Recently, microfluidics-based linked-read sequencing technology has become available and allows the direct haplotype phasing of the whole genome rapidly. We explored the feasibility of applying this direct haplotyping technology in noninvasive prenatal testing. METHODS: We first resolved the haplotypes of parental genomes with the use of linked-read sequencing technology. Then, we identified SNPs within and flanking the genes of interest in maternal plasma DNA by targeted sequencing. Finally, we applied relative haplotype dosage analysis to deduce the mutation inheritance status of the fetus. RESULTS: Haplotype phasing and relative haplotype dosage analysis of 12 out of 13 families were successfully achieved. The mutational status of these 12 fetuses was correctly classified. CONCLUSIONS: High-throughput linked-read sequencing followed by maternal plasma-based relative haplotype dosage analysis represents a streamlined approach for noninvasive prenatal testing of inherited single gene diseases. The approach bypasses the need for mutation-specific assays and is not dependent on the availability of DNA from other affected family members. Thus, the approach is universally applicable to pregnancies at risk for the inheritance of a single gene disease.

DNA of Erythroid Origin Is Present in Human Plasma and Informs the Types of Anemia.

BACKGROUND: There is much interest in the tissue of origin of circulating DNA in plasma. Data generated using DNA methylation markers have suggested that hematopoietic cells of white cell lineages are important contributors to the circulating DNA pool. However, it is not known whether cells of the erythroid lineage would also release DNA into the plasma. METHODS: Using high-resolution methylation profiles of erythroblasts and other tissue types, 3 genomic loci were found to be hypomethylated in erythroblasts but hypermethylated in other cell types. We developed digital PCR assays for measuring erythroid DNA using the differentially methylated region for each locus. RESULTS: Based on the methylation marker in the ferrochelatase gene, erythroid DNA represented a median of 30.1% of the plasma DNA of healthy subjects. In subjects with anemia of different etiologies, quantitative analysis of circulating erythroid DNA could reflect the erythropoietic activity in the bone marrow. For patients with reduced erythropoietic activity, as exemplified by aplastic anemia, the percentage of circulating erythroid DNA was decreased. For patients with increased but ineffective erythropoiesis, as exemplified by ß-thalassemia major, the percentage was increased. In addition, the plasma concentration of erythroid DNA was found to correlate with treatment response in aplastic anemia and iron deficiency anemia. Plasma DNA analysis using digital PCR assays targeting the other 2 differentially methylated regions showed similar findings. CONCLUSIONS: Erythroid DNA is a hitherto unrecognized major component of the circulating DNA pool and is a noninvasive biomarker for differential diagnosis and monitoring of anemia.

Noninvasive prenatal testing beyond genomic analysis: what the future holds.

PURPOSE OF REVIEW: The discovery of cell-free fetal DNA in maternal blood enabled the development of DNA-based noninvasive prenatal testing. Noninvasive prenatal testing for chromosomal aneuploidy detection was first applied for clinical use a few years ago, resulting in a paradigm shift in prenatal testing. Apart from the use of cell-free fetal nucleic acids for the detection of fetal genetic or chromosomal diseases, we predict that the analysis of cell-free placental RNA and DNA methylation signatures would allow the noninvasive monitoring of placental function. These developments would potentially allow the screening and identification of a range of pregnancy-associated diseases, providing a holistic approach to prenatal management. RECENT FINDINGS: This article covers the advancement of techniques in measuring cell-free fetal RNA and fetal-specific methylation patterns in maternal blood. Recently, genome-wide fetal transcriptome and methylome can be obtained from maternal plasma, which allow the identification of novel biomarkers and the elucidation of the pathogenesis of maternal and fetal diseases. In fact, some studies demonstrated the feasibility of applying the RNA and DNA methylation analysis techniques for prenatal disease assessment. SUMMARY: This study reviews the evidence that demonstrates the potential utilities of cell-free fetal transcriptomic and methylomic analysis for the future assessment of pregnancy-associated disorders.

Chem-map profiles drug binding to chromatin in cells.

Characterizing drug-target engagement is essential to understand how small molecules influence cellular functions. Here we present Chem-map for in situ mapping of small molecules that interact with DNA or chromatin-associated proteins, utilizing small-molecule-directed transposase Tn5 tagmentation. We demonstrate Chem-map for three distinct drug-binding modalities as follows: molecules that target a chromatin protein, a DNA secondary structure or that intercalate in DNA. We map the BET bromodomain protein-binding inhibitor JQ1 and provide interaction maps for DNA G-quadruplex structure-binding molecules PDS and PhenDC3. Moreover, we determine the binding sites of the widely used anticancer drug doxorubicin in human leukemia cells; using the Chem-map of doxorubicin in cells exposed to the histone deacetylase inhibitor tucidinostat reveals the potential clinical advantages of this combination therapy. In situ mapping with Chem-map of small-molecule interactions with DNA and chromatin proteins provides insights that will enhance understanding of genome and chromatin function and therapeutic interventions.

Single-cell mapping of DNA G-quadruplex structures in human cancer cells.

G-quadruplexes (G4s) are four-stranded DNA secondary structures that form in guanine-rich regions of the genome. G4s have important roles in transcription and replication and have been implicated in genome instability and cancer. Thus far most work has profiled the G4 landscape in an ensemble of cell populations, therefore it is critical to explore the structure-function relationship of G4s in individual cells to enable detailed mechanistic insights into G4 function. With standard ChIP-seq methods it has not been possible to determine if G4 formation at a given genomic locus is variable between individual cells across a population. For the first time, we demonstrate the mapping of a DNA secondary structure at single-cell resolution. We have adapted single-nuclei (sn) CUT&Tag to allow the detection of G4s in single cells of human cancer cell lines. With snG4-CUT&Tag, we can distinguish cellular identity from a mixed cell-type population solely based on G4 features within individual cells. Our methodology now enables genomic investigations on cell-to-cell variation of a DNA secondary structure that were previously not possible.

Landscape of G-quadruplex DNA structural regions in breast cancer.

Response and resistance to anticancer therapies vary due to intertumor and intratumor heterogeneity1. Here, we map differentially enriched G-quadruplex (G4) DNA structure-forming regions (∆G4Rs) in 22 breast cancer patient-derived tumor xenograft (PDTX) models. ∆G4Rs are associated with the promoters of highly amplified genes showing high expression, and with somatic single-nucleotide variants. Differences in ΔG4R landscapes reveal seven transcription factor programs across PDTXs. ∆G4R abundance and locations stratify PDTXs into at least three G4-based subtypes. ∆G4Rs in most PDTXs (14 of 22) were found to associate with more than one breast cancer subtype, which we also call an integrative cluster (IC)2. This suggests the frequent coexistence of multiple breast cancer states within a PDTX model, the majority of which display aggressive triple-negative IC10 gene activity. Short-term cultures of PDTX models with increased ∆G4R levels are more sensitive to small molecules targeting G4 DNA. Thus, G4 landscapes reveal additional IC-related intratumor heterogeneity in PDTX biopsies, improving breast cancer stratification and potentially identifying new treatment strategies.