Utilization of Benchtop Next Generation Sequencing Platforms Ion Torrent PGM and MiSeq in Noninvasive Prenatal Testing for Chromosome 21 Trisomy and Testing of Impact of In Silico and Physical Size Selection on Its Analytical Performance

OBJECTIVES: The aims of this study were to test the utility of benchtop NGS platforms for NIPT for trisomy 21 using previously published z score calculation methods and to optimize the sample preparation and data analysis with use of in silico and physical size selection methods. METHODS: Samples from 130 pregnant women were analyzed by whole genome sequencing on benchtop NGS systems Ion Torrent PGM and MiSeq. The targeted yield of 3 million raw reads on each platform was used for z score calculation. The impact of in silico and physical size selection on analytical performance of the test was studied. RESULTS: Using a z score value of 3 as the cut-off, 98.11% - 100% (104-106/106) specificity and 100% (24/24) sensitivity and 99.06% - 100% (105-106/106) specificity and 100% (24/24) sensitivity were observed for Ion Torrent PGM and MiSeq, respectively. After in silico based size selection both platforms reached 100% specificity and sensitivity. Following the physical size selection z scores of tested trisomic samples increased significantly-p = 0.0141 and p = 0.025 for Ion Torrent PGM and MiSeq, respectively. CONCLUSIONS: Noninvasive prenatal testing for chromosome 21 trisomy with the utilization of benchtop NGS systems led to results equivalent to previously published studies performed on high-to-ultrahigh throughput NGS systems. The in silico size selection led to higher specificity of the test. Physical size selection performed on isolated DNA led to significant increase in z scores. The observed results could represent a basis for increasing of cost effectiveness of the test and thus help with its penetration worldwide

Partial loss of heterozygosity events at the mutated gene in tumors from MLH1/MSH2 large genomic rearrangement carriers

<p>Abstract</p> <p>Background</p> <p>Depending on the population studied, large genomic rearrangements (LGRs) of the mismatch repair (<it>MMR</it>) genes constitute various proportions of the germline mutations that predispose to hereditary non-polyposis colorectal cancer (HNPCC). It has been reported that loss of heterozygosity (LOH) at the LGR region occurs through a gene conversion mechanism in tumors from <it>MLH1</it>/<it>MSH2 </it>deletion carriers; however, the converted tracts were delineated only by extragenic microsatellite markers. We sought to determine the frequency of LGRs in Slovak HNPCC patients and to study LOH in tumors from LGR carriers at the LGR region, as well as at other heterozygous markers within the gene to more precisely define conversion tracts.</p> <p>Methods</p> <p>The main <it>MMR </it>genes responsible for HNPCC, <it>MLH1</it>, <it>MSH2</it>, <it>MSH6</it>, and <it>PMS2</it>, were analyzed by MLPA (multiplex ligation-dependent probe amplification) in a total of 37 unrelated HNPCC-suspected patients whose <it>MLH1/MSH2 </it>genes gave negative results in previous sequencing experiments. An LOH study was performed on six tumors from LGR carriers by combining MLPA to assess LOH at LGR regions and sequencing to examine LOH at 28 SNP markers from the <it>MLH1 </it>and <it>MSH2 </it>genes.</p> <p>Results</p> <p>We found six rearrangements in the <it>MSH2 </it>gene (five deletions and dup5-6), and one aberration in the <it>MLH1 </it>gene (del5-6). The <it>MSH2 </it>deletions were of three types (del1, del1-3, del1-7). We detected LOH at the LGR region in the single <it>MLH1 </it>case, which was determined in a previous study to be LOH-negative in the intragenic D3S1611 marker. Three tumors displayed LOH of at least one SNP marker, including two cases that were LOH-negative at the LGR region.</p> <p>Conclusion</p> <p>LGRs accounted for 25% of germline <it>MMR </it>mutations identified in 28 Slovakian HNPCC families. A high frequency of LGRs among the <it>MSH2 </it>mutations provides a rationale for a MLPA screening of the Slovakian HNPCC families prior scanning by DNA sequencing. LOH at part of the informative loci confined to the <it>MLH1 </it>or <it>MSH2 </it>gene (heterozygous LGR region, SNP, or microsatellite) is a novel finding and can be regarded as a partial LOH. The conversion begins within the gene, and the details of conversion tracts are discussed for each case.</p

Large neutral amino acid levels tune perinatal neuronal excitability and survival

Little is known about the critical metabolic changes that neural cells have to undergo during development and how temporary shifts in this program can influence brain circuitries and behavior. Inspired by the discovery that mutations in SLC7A5, a transporter of metabolically essential large neutral amino acids (LNAAs), lead to autism, we employed metabolomic profiling to study the metabolic states of the cerebral cortex across different developmental stages. We found that the forebrain undergoes significant metabolic remodeling throughout development, with certain groups of metabolites showing stage-specific changes, but what are the consequences of perturbing this metabolic program? By manipulating Slc7a5 expression in neural cells, we found that the metabolism of LNAAs and lipids are interconnected in the cortex. Deletion of Slc7a5 in neurons affects the postnatal metabolic state, leading to a shift in lipid metabolism. Additionally, it causes stage- and cell-type-specific alterations in neuronal activity patterns, resulting in a long-term circuit dysfunction

Determination of optimal <i>in silico</i> size selection limit for sequencing reads to be used in z score calculation.

<p>Dotted lines represent the standard limit for identification of a trisomic sample (z score = 3). A—Ion Torrent PGM analyzed samples, B—MiSeq analyzed samples.</p

Z score values of samples calculated by three different previously published methods.

<p><b>□</b> –trisomic samples, <b>○</b> –euploid samples, horizontal line—mean z score value of trisomic samples. Dotted lines represent the standard limit for identification of a trisomic sample (z score = 3). A—Ion Torrent PGM analyzed samples, B—MiSeq analyzed samples.</p

Z score values of trisomic and euploid samples before and after <i>in silico</i> size selection of sequencing reads.

<p><b>□</b> –trisomic samples, <b>○</b> –euploid samples, horizontal line—mean z score value). Dotted lines represent the standard limit for identification of a trisomic sample (z score = 3). A—Ion Torrent PGM analyzed samples, B—MiSeq analyzed samples.</p

Z score values calculated from reads without size selection (all), after <i>in silico</i> size selection (IS) and after physical size selection (P).

<p>Horizontal lines represent mean z score value calculated from 3, 2 and 1 million raw reads (3m, 2m, 1m). Dotted lines represent the standard limit for identification of a trisomic sample (z score = 3). A—Ion Torrent PGM analyzed samples, B—MiSeq analyzed samples.</p