Catalytic Enantioselective Synthesis of N–C Axially Chiral Mebroqualone and Its Derivatives through Reductive Asymmetric Desymmetrization

In the presence of (<i>R</i>)-DTBM-SEGPHOS-Pd­(OAc)₂ catalyst, treatment of various 3-(2,6-dibromophenyl)­quinazolin-4-ones with NaBH₄ gave optically active N–C axially chiral quinazolinone (mebroqualone) derivatives through reductive asymmetric desymmetrization (enantioselective monohydrodebromination) followed by kinetic resolution of the resulting monobromophenyl products (up to 99% ee). The enantioselectivity strongly depended on the substituent (R²) at the C4′position, amount of NaBH₄, and reaction temperature

Additional file 2: of Prediction of progression of damage to articular cartilage 2Â years after anterior cruciate ligament reconstruction: use of aggrecan and type II collagen biomarkers in a retrospective observational study

Datasets generated during the current study. (CSV 11 kb

Additional file 5: Fig. S1. of Genome-wide microRNA expression profiling in placentae from frozen-thawed blastocyst transfer

Validation of placental miRNAs expression using qRT-PCR. The boxplots show the expression levels of miR-197-5p (a), miR-4697-5p (b), miR-4721 (c), miR-5006-5p (d), miR-575 (e), miR-6893-5p (f), miR-125a-5p (g), miR-1260b (h), miR-224-3p (i), miR-331-3p (j), miR-365a-3p (k), miR-495-3p (l), miR-518b (m), miR-518f-3p (n), miR-543 (o) and miR-7977 (p). Data were normalized to RNU44 expression and are presented as boxplots with whiskers. The upper and lower limits of the boxes present the 75th and 25th percentiles, respectively. The upper and lower whiskers represent the maximum and minimum values that are no more than 1.5 times the span of the interquartile range (range of the values between the 25th and the 75th percentiles). The circles indicate the outliers. The median is indicated by the line in each box. They were analyzed using the Steel-Dwass test and considered statistically significant when p < 0.05. (PDF 1684 kb

Additional file 1: Table S1. of Genome-wide microRNA expression profiling in placentae from frozen-thawed blastocyst transfer

Patients’ information. Blastocysts were graded using a blastocyst scoring system [46]. FSH follicular stimulating hormone, HMG human menopausal gonadotropin. (XLS 51 kb

Additional file 9: Table S7. of Genome-wide microRNA expression profiling in placentae from frozen-thawed blastocyst transfer

KEGG enrichment analysis of target genes. (XLS 45 kb

Additional file 2: Table S2. of Genome-wide microRNA expression profiling in placentae from frozen-thawed blastocyst transfer

List of TaqMan probe ID numbers. (XLS 29 kb

Genome-Wide Analysis of DNA Methylation Dynamics during Early Human Development

<div><p>DNA methylation is globally reprogrammed during mammalian preimplantation development, which is critical for normal development. Recent reduced representation bisulfite sequencing (RRBS) studies suggest that the methylome dynamics are essentially conserved between human and mouse early embryos. RRBS is known to cover 5–10% of all genomic CpGs, favoring those contained within CpG-rich regions. To obtain an unbiased and more complete representation of the methylome during early human development, we performed whole genome bisulfite sequencing of human gametes and blastocysts that covered>70% of all genomic CpGs. We found that the maternal genome was demethylated to a much lesser extent in human blastocysts than in mouse blastocysts, which could contribute to an increased number of imprinted differentially methylated regions in the human genome. Global demethylation of the paternal genome was confirmed, but SINE-VNTR-Alu elements and some other tandem repeat-containing regions were found to be specifically protected from this global demethylation. Furthermore, centromeric satellite repeats were hypermethylated in human oocytes but not in mouse oocytes, which might be explained by differential expression of <i>de novo</i> DNA methyltransferases. These data highlight both conserved and species-specific regulation of DNA methylation during early mammalian development. Our work provides further information critical for understanding the epigenetic processes underlying differentiation and pluripotency during early human development.</p></div

Establishment and maintenance of imprinted DMRs.

<p><b>A,</b> A heatmap of mean methylation levels of imprinted DMRs. We classified the 67 known human imprinted DMRs <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1004868#pgen.1004868-Court1" target="_blank">[17]</a>, and found that 44 were maternal germline DMRs (M-gDMRs), 2 were paternal germline DMRs (P-gDMRs) and 21 were secondary DMRs (sDMRs). 15 M-gDMRs are reported to be maintained only in the placenta and shown as “Pla-specific gDMRs”. gDMRs other than placenta-specific ones showed 35–65% methylation levels in blood cells but the intermediate methylation levels were not well maintained in ES cells (11/31 showed>75% methylation). Methylation levels are color coded as indicated. The raw data are shown in <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1004868#pgen.1004868.s006" target="_blank">S1 Table</a>. <b>B,</b> Methylation patterns at the human <i>GNAS</i> locus. The vertical axis indicates the methylation level (%). In this locus, there were two gDMRs and two sDMRs. All DMRs overlap promoter regions. <b>C,</b> Methylation patterns at the human <i>DNMT1</i> locus. The promoter region of the somatic isoform of <i>DNMT1</i> (<i>DNMT1s</i>) is known to show maternal allele-specific methylation in the placenta <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1004868#pgen.1004868-Das1" target="_blank">[45]</a>. The <i>DNMT1</i> DMR was hypomethylated in both ES and blood cells, suggesting placenta-specific protection of the maternal allele from demethylation. <b>D,</b> Box plots of mean methylation levels of gDMRs and oocyte-specific methylated CGIs in blastocysts. Boxes represent lower and upper quartiles and horizontal lines indicate the median. Whiskers extend to the most extreme data points within 1.5 times the interquartile range from the boxes. The open circles indicate the data points outside the whiskers. Methylation levels of mouse gDMRs and oocyte-specific methylated CGIs <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1004868#pgen.1004868-Kobayashi1" target="_blank">[5]</a> are shown for comparison. <b>E,</b> Methylation patterns of an oocyte-specific methylated CGI. A single blastocyst was used for the analysis. Black and white circles indicate methylated and unmethylated residues, respectively. The percentages of methylated CpG sites are indicated. <b>F</b>, Bisulfite sequencing analyses of X-linked CGIs hypermethylated in oocytes. A single blastocyst was used for each bisulfite sequencing analysis.</p

A bimodal gene body methylation pattern associated with transcription in human oocytes.

<p><b>A,</b> A density scatterplot of gene body methylation levels and transcription levels <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1004868#pgen.1004868-Yan1" target="_blank">[43]</a> in human oocytes. The data of mouse oocytes <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1004868#pgen.1004868-Kobayashi1" target="_blank">[5]</a>, <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1004868#pgen.1004868-Shirane1" target="_blank">[11]</a> are also shown for comparison. Only genes longer than 5 kb were analyzed. For genes with RPKM less than 0.01, RPKM was set as 0.01. The density is color-coded as indicated. <b>B,</b> Mean methylation levels within 5 kb of transcription start sites (TSS) in human oocytes. Genes (>5 kb) were classified into two groups (log₂(RPKM)>−5 and ≤−5). Methylation levels were smoothed using 5 bp non-overlapping sliding windows. <b>C,</b> Conservation of gene body methylation levels between human and mouse oocytes. 783 and 188 genes showed human-specific and mouse-specific gene body hypermethylation, respectively. 5076 and 1151 genes were hypermethylated and hypomethylated in both types of oocytes, respectively. The raw data are shown in <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1004868#pgen.1004868.s006" target="_blank">S2 Table</a>. <b>D,</b> GO analysis of 783 genes with human-specific gene body hypermethylation. The top three GO terms (biological process and molecular function) are indicated with gene counts, the proportion (%) and BH-corrected <i>P</i>-values. No GO term was enriched in genes with mouse-specific gene body hypermethylation. <b>E,</b> Gene body methylation levels and transcription levels of DNA methylation regulators in human and mouse oocytes. <i>DNMT3L</i> and <i>ZFP57</i> showed gene body hypomethylation and were not expressed (RPKM<0.01) in human oocytes. <i>DNMT3B</i> (RPKM = 76.0) showed 10-fold higher expression than <i>DNMT3A</i> (RPKM = 7.6) in human oocytes. In contrast, <i>Dnmt3b</i> (RPKM = 4.9) showed ∼6-fold lower expression than <i>Dnmt3a</i> (RPKM = 30.6) in mouse oocytes. <b>F,</b> Methylation patterns at human <i>DNMT3L</i> and <i>ZFP57</i> loci and mouse <i>Dnmt3l</i> and <i>Zfp57</i> loci. The vertical line indicates the methylation level (%) and the baseline is set at 50% to highlight unmethylated CpGs. CpGs with>50% and <50% methylation are shown in red and grey, respectively.</p

Global changes of DNA methylation during early human development.

<p><b>A,</b> Distribution of methylation levels of individual CpGs. The mean methylation levels of CpGs are also indicated. We included human H9 ES cells (GEO accession number: GSM706059) for comparison. <b>B,</b> Detection of dynamic methylation changes using a sliding window (window size  = 20 CpGs, step size  = 10 CpGs). Windows were classified as increasing (or decreasing) if the methylation levels increased (or decreased) by>20% and the changes were significant (BH-corrected <i>P</i><0.05). The other windows were classified as stable. Oo: Oocyte; Sp: Sperm; Blasto: Blastocyst. <b>C,</b> Violin plots of mean methylation levels of windows hypermethylated (≥80%) or hypomethylated (≤20%) in one or both gametes. Oo-specific (Sp-specific) methylated windows are defined as windows hypermethylated in oocytes (sperm) and hypomethylated in sperm (oocytes). Thin and thick lines are box plots and white dots indicate the median. <b>D,</b> Heatmaps of Pearson correlation coefficients. Correlation coefficients were calculated based on the mean methylation levels of individual windows, CGIs, promoters and repeat copies. Correlation coefficients are color-coded as shown. <b>E,</b> A density scatterplot of mean methylation levels of the sliding windows. The Pearson correlation coefficient between oocytes and blastocysts was high (<i>r</i> = 0.87). The density is color-coded as indicated. <b>F,</b> Methylation levels across the long arm of chromosome 21 (smoothed using 50 kb non-overlapping windows). Similar methylation patterns were observed for oocytes and blastocysts whereas the methylation levels of blastocysts were low (note that the vertical maximum scale is 60% for blastocysts).</p