A novel frameshift variant of LMX1A that leads to autosomal dominant non-syndromic sensorineural hearing loss: functional characterization of the C-terminal domain in LMX1A.

Non-syndromic sensorineural hearing loss (NSHL) is a group of genetically heterogeneous conditions with broad phenotypic heterogeneity. There is, at present, no curative treatment for genetic hearing loss (HL). Early molecular diagnosis of progressive disorders and elucidation of the causes and pathomechanisms are essential for developing therapeutic strategies. Here, we identified a novel rare frameshift variant of LMX1A (c.915dup), which resulted in the C-terminal-altered and -truncated LMX1A (p.Val306Cysfs*32). This C-terminal frameshift mutation co-segregated with autosomal dominant (AD) NSHL in a four-generation Chinese family, suggesting that the LMX1A non-missense mutation is also contributed to ADNSHL. In this family, the affected individuals exhibited the variable auditory phenotypes ranging from profound congenital deafness at birth or to mild/moderate HL in adulthood. We also found that the embryonic cells carrying with the heterozygous variant significantly expressed several upregulated HL-associated genes at transcriptional level. In vitro splicing assay suggested that the LMX1A mRNA with c.915dup did not cause nonsense-mediated decay and was translated into a truncated LMX1A. In addition, electrophoresis mobility shift assay and luciferase assays have shown that the highly conserved C-terminal domain (amino acid 306-382) of the LMX1A was required for regulating the protein-DNA interaction and transactivation in vitro. Furthermore, apoptosis assays suggested that the C-terminal domain of the LMX1A was important for mediating apoptosis in the cochlear hair cells. Our work provided the multiline of the evidence to support that non-missense mutation of LMX1A leads to ADNSHL and the C-terminal domain of LMX1A is important for mediating transcriptional activity and associated with promoting apoptosis in the cells.

UHRF1 regulates alternative splicing by interacting with splicing factors and U snRNAs in a H3R2me involved manner.

The well-established functions of UHRF1 converge to DNA biological processes, as exemplified by DNA methylation maintenance and DNA damage repair during cell cycles. However, the potential effect of UHRF1 on RNA metabolism is largely unexplored. Here, we revealed that UHRF1 serves as a novel alternative RNA splicing regulator. The protein interactome of UHRF1 identified various splicing factors. Among them, SF3B3 could interact with UHRF1 directly and participate in UHRF1-regulated alternative splicing events. Furthermore, we interrogated the RNA interactome of UHRF1, and surprisingly, we identified U snRNAs, the canonical spliceosome components, in the purified UHRF1 complex. Unexpectedly, we found H3R2 methylation status determines the binding preference of U snRNAs, especially U2 snRNAs. The involvement of U snRNAs in UHRF1-containing complex and their binding preference to specific chromatin configuration imply a finely orchestrated mechanism at play. Our results provided the resources and pinpointed the molecular basis of UHRF1-mediated alternative RNA splicing, which will help us better our understanding of the physiological and pathological roles of UHRF1 in disease development.

Guide Positioning Sequencing identifies aberrant DNA methylation patterns that alter cell identity and tumor-immune surveillance networks.

Aberrant DNA methylation is a distinguishing feature of cancer. Yet, how methylation affects immune surveillance and tumor metastasis remains ambiguous. We introduce a novel method, Guide Positioning Sequencing (GPS), for precisely detecting whole-genome DNA methylation with cytosine coverage as high as 96% and unbiased coverage of GC-rich and repetitive regions. Systematic comparisons of GPS with whole-genome bisulfite sequencing (WGBS) found that methylation difference between gene body and promoter is an effective predictor of gene expression with a correlation coefficient of 0.67 (GPS) versus 0.33 (WGBS). Moreover, Methylation Boundary Shift (MBS) in promoters or enhancers is capable of modulating expression of genes associated with immunity and tumor metabolism. Furthermore, aberrant DNA methylation results in tissue-specific enhancer switching, which is responsible for altering cell identity during liver cancer development. Altogether, we demonstrate that GPS is a powerful tool with improved accuracy and efficiency over WGBS in simultaneously detecting genome-wide DNA methylation and genomic variation. Using GPS, we show that aberrant DNA methylation is associated with altering cell identity and immune surveillance networks, which may contribute to tumorigenesis and metastasis.

Cell identity bookmarking through heterogeneous chromatin landscape maintenance during the cell cycle.

Genetic and epigenetic information are faithfully duplicated and accurately transmitted to daughter cells to preserve cell identity during the cell cycle. However, how the chromatin-based epigenetic information beyond DNA sequence is stably transmitted along with the disruption and re-establishment of chromatin structure within a cell cycle remains largely unexplored. Through comprehensive analysis DNA methylation and nucleosome positioning patterns of HepG2 cells in G0/G1, early S, late S and G2/M phases, we found that DNA methylation may act as the prime element for epigenetic inheritance after replication, as DNA methylation was extremely stable in each cell cycle phase, while nucleosome occupancy showed notable phase dependent fluctuation. Nucleosome-Secured Regions (NSRs) occupied by polycomb-repressed chromatin played a role in repressing the irrelevant cell type-specific genes and were essential for preventing irrelevant transcription factors binding, while the well-defined Nucleosome-Depleted Regions (NDRs) marked the genes crucial for cell identity maintenance. Chromatin structure at NSRs and NDRs was well maintained throughout the cell cycle, which played crucial roles in steadily preserving the transcriptional identity of the cell to fulfill cell identity maintenance. Collectively, our results demonstrated that while chromatin architecture underwent dynamic changes during cell cycle progression, DNA methylation together with NSRs and NDRs were stable epigenetic elements that were required for faithful transmission to the daughter cell to accurately maintain cell identity during the cell cycle.

MBD3L2 promotes Tet2 enzymatic activity for mediating 5-methylcytosine oxidation.

Ten-eleven translocation (Tet) proteins are key players involved in the dynamic regulation of cytosine methylation and demethylation. Inactivating mutations of Tet2 are frequently found in human malignancies, highlighting the essential role of Tet2 in cellular transformation. However, the factors that control Tet enzymatic activity remain largely unknown. Here, we found that methyl-CpG-binding domain protein 3 (MBD3) and its homolog MBD3-like 2 (MBD3L2) can specifically modulate the enzymatic activity of Tet2 protein, but not Tet1 and Tet3 proteins, in converting 5-methylcytosine (5mC) into 5-hydroxymethylcytosine (5hmC). Moreover, MBD3L2 is more effective than MBD3 in promoting Tet2 enzymatic activity through strengthening the binding affinity between Tet2 and the methylated DNA target. Further analysis revealed pronounced decreases in 5mC levels at MBD3L2 and Tet2 co-occupied genomic regions, most of which are promoter elements associated with either cancer-related genes or genes involved in the regulation of cellular metabolic processes. Our data add new insights into the regulation of Tet2 activity by MBD3 and MBD3L2, and into how that affects Tet2-mediated modulation of its target genes in cancer development. Thus, they have important applications in understanding how dysregulation of Tet2 might contribute to human malignancy.

MicroRNAs activate gene transcription epigenetically as an enhancer trigger.

MicroRNAs (miRNAs) are small non-coding RNAs that function as negative gene expression regulators. Emerging evidence shows that, except for function in the cytoplasm, miRNAs are also present in the nucleus. However, the functional significance of nuclear miRNAs remains largely undetermined. By screening miRNA database, we have identified a subset of miRNA that functions as enhancer regulators. Here, we found a set of miRNAs show gene-activation function. We focused on miR-24-1 and found that this miRNA unconventionally activates gene transcription by targeting enhancers. Consistently, the activation was completely abolished when the enhancer sequence was deleted by TALEN. Furthermore, we found that miR-24-1 activates enhancer RNA (eRNA) expression, alters histone modification, and increases the enrichment of p300 and RNA Pol II at the enhancer locus. Our results demonstrate a novel mechanism of miRNA as an enhancer trigger.

Design and simulation of two-section DFB lasers with short active-section lengths.

Distributed feedback lasers comprised of a reflection section and an active section have been proposed for high direct-modulation bandwidth. The reflection section has the same core layer as the active section so butt-joint re-growth is avoided. Without current injection the reflection section will be pumped to near transparency by the emission from the laser itself so high reflection (> 0.75) can still be achieved as confirmed by the simulation. Therefore a short (150 µm) active section can be used, which enables a low threshold current (~5 mA) and a high direct modulation bandwidth (>30 GHz) as demonstrated by the simulation.

Comparative study of computational methods to detect the correlated reaction sets in biochemical networks.

Correlated reaction sets (Co-Sets) are mathematically defined modules in biochemical reaction networks which facilitate the study of biological processes by decomposing complex reaction networks into conceptually simple units. According to the degree of association, Co-Sets can be classified into three types: perfect, partial and directional. Five approaches have been developed to calculate Co-Sets, including network-based pathway analysis, Monte Carlo sampling, linear optimization, enzyme subsets and hard-coupled reaction sets. However, differences in design and implementation of these methods lead to discrepancies in the resulted Co-Sets as well as in their use in biotechnology which need careful interpretation. In this paper, we provide a comparative study of the methods for Co-Sets computing in detail from four aspects: (i) sensitivity, (ii) completeness and soundness, (iii) flexibility and (iv) scalability. By applying them to Escherichia coli core metabolic network, the differences and relationships among these methods are clearly articulated which may be useful for potential users.

Combined Preimplantation Genetic Testing for Genetic Kidney Disease: Genetic Risk Identification, Assisted Reproductive Cycle, and Pregnancy Outcome Analysis.

Background: Genetic kidney disease is a major cause of morbidity and mortality in neonates and end-stage renal disease (ESRD) in children and adolescents. Genetic diagnosis provides key information for early identification of congenital kidney disease and reproductive risk counseling. Preimplantation genetic testing for monogenic disease (PGT-M) as a reproductive technology helps prospective parents to prevent passing on disease-causing mutations to their offspring. Materials and Methods: A retrospective cohort of couples counseled on PGT who had a risk to given birth to a child with genetic kidney disease or had a history of prenatal fetal kidney and urinary system development abnormalities from 2011 to 2021. Through a combination of simultaneously screening for aneuploidy and monogenic kidney disease, we achieved reproductive genetic intervention. Results: A total of 64 couples counseled on PGT for monogenic kidney disease in a single reproductive center during the past 10 years, of whom 38 different genetic kidney diseases were identified. The most frequent indications for referral were autosomal recessive disease (54.7%), then autosomal dominant disease (29.7%), and X-linked disease (15.6%). Polycystic kidney disease was the most common diseases counted for 34.4%. After oocyte-retrieval in all of 64 females, a total of 339 embryos were diagnosed and 63 embryos were transferred in succession. Among 61 cycles of frozen-embryo transfer (FET), ongoing pregnancy/live birth rate (OP/LBR) reached 57.38%. The cumulative OP/LBR in our cohort for the 64 couples was 54.69%. In addition, we have carried out expanded carrier screening (ECS) in all the in vitro fertilization (IVF) couples performed PGT covering 7,311 individuals. The carrier frequency of the candidate genes for monogenic kidney diseases accounted for 12.19%. Conclusion: Overall, the customization PGT-M plan in our IVF center is pivotal to decreasing the morbidity and implementing reproductive genetic intervention of genetic kidney disease.

Design and analysis of single mode Fabry-Perot lasers with high speed modulation capability.

The single mode Fabry-Perot (FP) semiconductor lasers are investigated systematically by a rigorous time-domain theoretical model based on the transfer matrix method. Static and high-speed dynamic performances under direct modulation and strong external optical feedbacks are simulated for both symmetric and asymmetric longitudinal structures of the lasers. Comparisons with the DFB and conventional FP lasers are made to confirm its effectiveness in achieving single-mode lasing with high spectrum purity under modulation and feedback conditions. Structural optimization is also carried out with respect to the key design parameters.

Meiotic Heterogeneity of Trivalent Structure and Interchromosomal Effect in Blastocysts With Robertsonian Translocations.

BACKGROUND: Robertsonian translocations are common structural rearrangements and confer an increased genetic reproductive risk due to the formation of trivalent structure during meiosis. Studies on trivalent structure show meiotic heterogeneity between different translocation carriers, although the factors causing heterogeneity have not been well elaborated in blastocysts. It is also not yet known whether interchromosomal effect (ICE) phenomenon occurs in comparison with suitable non-translocation control patients. Herein, we aimed to evaluate the factors that cause meiotic heterogeneity of trivalent structure and the ICE phenomenon. METHODS: We designed a retrospective study, comprising 217 Robertsonian translocation carriers and 134 patients with the risk of transmitting monogenic inherited disorders (RTMIDs) that underwent preimplantation genetic testing (PGT). Data was collected between March 2014 and December 2019. The segregation products of trivalent structure were analyzed based on the carrier's gender, age and translocation type. In addition, to analyze ICE phenomenon, aneuploidy abnormalities of non-translocation chromosomes from Robertsonian translocation carriers were compared with those from patients with RTMIDs. RESULTS: We found that the percentage of male carriers with alternate segregation pattern was significantly higher [P < 0.001, odds ratio (OR) = 2.95] than that in female carriers, while the percentage of adjacent segregation pattern was lower (P < 0.001, OR = 0.33). By contrast, no difference was observed between young and older carriers when performing stratified analysis by age. Furthermore, segregation pattern was associated with the D;G chromosomes involved in Robertsonian translocation: the rate of alternate segregation pattern in Rob(13;14) carriers was significantly higher (P = 0.010, OR = 1.74) than that in Rob(14;21) carriers, whereas the rate of adjacent segregation pattern was lower (P = 0.032, OR = 0.63). Moreover, the results revealed that the trivalent structure could significantly increase the frequencies of chromosome aneuploidies 1.30 times in Robertsonian translocation carriers compared with patients with RTMIDs (P = 0.026), especially for the male and young subgroups (P = 0.030, OR = 1.35 and P = 0.012, OR = 1.40), while the mosaic aneuploidy abnormalities presented no statistical difference. CONCLUSIONS: Our study demonstrated that meiotic segregation heterogeneity of trivalent structure is associated with the carrier's gender and translocation type, and it is independent of carrier's age. ICE phenomenon exists during meiosis and then increases the frequencies of additional chromosome abnormalities.

Next-Generation Sequencing Is More Efficient at Detecting Mosaic Embryos and Improving Pregnancy Outcomes than Single-Nucleotide Polymorphism Array Analysis.

We compared chromosomal mosaicism, detected by next-generation sequencing (NGS), during preimplantation genetic testing (PGT) with that detected by single-nucleotide polymorphism (SNP) array-based PGT to assess the pregnancy outcomes associated with both platforms in a retrospective cohort study of patients undergoing in vitro fertilization in a single university-based assisted reproduction center. In total, 6427 blastocysts biopsied from 1513 patients who underwent 2833 oocyte retrievals from January 2017 to February 2019 were identified. The incidence of mosaicism was significantly higher in the NGS-based PGT group than in the SNP array-based PGT group. Furthermore, some aneuploid specimens were affected by mosaicism. The total mosaicism detection rate with NGS-based PGT (23.3%) was significantly higher than that with SNP array-based PGT (7.7%). Mosaicism rates were similar when stratified by maternal age or PGT type. The SNP array cohort showed a significantly higher spontaneous abortion rate than the NGS cohort (10.07% versus 6.33%; P = 0.0403). The ongoing pregnancy/live birth rate was higher in the NGS cohort (44.1%) than in the SNP array cohort (42.28%). Our results confirm that NGS-based PGT can detect mosaicism more frequently than SNP array-based PGT in trophectoderm specimens. Therefore, clinical application of NGS for PGT may improve pregnancy outcomes compared with that of SNP array-based PGT. More detailed blastocyst detection and classification is necessary to prioritize embryo transfers.

Acceleration of FDTD mode solver by high-performance computing techniques.

A two-dimensional (2D) compact finite-difference time-domain (FDTD) mode solver is developed based on wave equation formalism in combination with the matrix pencil method (MPM). The method is validated for calculation of both real guided and complex leaky modes of typical optical waveguides against the bench-mark finite-difference (FD) eigen mode solver. By taking advantage of the inherent parallel nature of the FDTD algorithm, the mode solver is implemented on graphics processing units (GPUs) using the compute unified device architecture (CUDA). It is demonstrated that the high-performance computing technique leads to significant acceleration of the FDTD mode solver with more than 30 times improvement in computational efficiency in comparison with the conventional FDTD mode solver running on CPU of a standard desktop computer. The computational efficiency of the accelerated FDTD method is in the same order of magnitude of the standard finite-difference eigen mode solver and yet require much less memory (e.g., less than 10%). Therefore, the new method may serve as an efficient, accurate and robust tool for mode calculation of optical waveguides even when the conventional eigen value mode solvers are no longer applicable due to memory limitation.

Expanded carrier screening in Chinese patients seeking the help of assisted reproductive technology.

BACKGROUND: Expanded carrier screening (ECS) has emerged as an effective approach to identify at-risk couples (ARCs)-before they initiate attempts at reproduction-who possess a high probability of having a child affected by severe recessive diseases. The objective of this study was to evaluate the clinical utility of ECS in Chinese patients seeking the help of assisted reproductive technology (ART). METHODS: An ECS test, which covers 201 genes implicated in 135 recessive (autosomal or X-linked) diseases, was routinely offered to all ART patients in a single genetics and in vitro fertilization clinic. Additional options for preimplantation or prenatal genetic diagnosis were discussed and offered to all ARCs. All ECS results were aggregated and the clinical decisions of the ARCs were surveyed. RESULTS: A total of 2,923 ART patients, representing 1,462 couples, were screened. Overall, 46.73% of the individuals were found to be the carriers for at least 1 of the 135 diseases. Of the tested couples, 2.26% (n = 33) were identified as ARCs. As of the completion of this study, 21 (63.6%) ARCs have decided to avert an affected pregnancy with the help of preimplantation genetic testing for monogenetic conditions. The cumulative carrier rate of the 187 autosomal recessive genes in the ECS panel for the 2,836 Han Chinese individuals without a family history was estimated to be 45.91%. The estimated at-risk couple rate indicates that the screening for only the top 31 genes with gene carrier rates >0.5% would identify more than 94% of the ARCs identified by screening all 187 genes. CONCLUSION: Our study demonstrates that ESC yields a significant clinical value for ART patients in China. In addition, by estimating the yields of the ECS panel, we identify genes that are appropriate for screening the Han population.

Analysis on relationship between extreme pathways and correlated reaction sets.

BACKGROUND: Constraint-based modeling of reconstructed genome-scale metabolic networks has been successfully applied on several microorganisms. In constraint-based modeling, in order to characterize all allowable phenotypes, network-based pathways, such as extreme pathways and elementary flux modes, are defined. However, as the scale of metabolic network rises, the number of extreme pathways and elementary flux modes increases exponentially. Uniform random sampling solves this problem to some extent to study the contents of the available phenotypes. After uniform random sampling, correlated reaction sets can be identified by the dependencies between reactions derived from sample phenotypes. In this paper, we study the relationship between extreme pathways and correlated reaction sets. RESULTS: Correlated reaction sets are identified for E. coli core, red blood cell and Saccharomyces cerevisiae metabolic networks respectively. All extreme pathways are enumerated for the former two metabolic networks. As for Saccharomyces cerevisiae metabolic network, because of the large scale, we get a set of extreme pathways by sampling the whole extreme pathway space. In most cases, an extreme pathway covers a correlated reaction set in an 'all or none' manner, which means either all reactions in a correlated reaction set or none is used by some extreme pathway. In rare cases, besides the 'all or none' manner, a correlated reaction set may be fully covered by combination of a few extreme pathways with related function, which may bring redundancy and flexibility to improve the survivability of a cell. In a word, extreme pathways show strong complementary relationship on usage of reactions in the same correlated reaction set. CONCLUSION: Both extreme pathways and correlated reaction sets are derived from the topology information of metabolic networks. The strong relationship between correlated reaction sets and extreme pathways suggests a possible mechanism: as a controllable unit, an extreme pathway is regulated by its corresponding correlated reaction sets, and a correlated reaction set is further regulated by the organism's regulatory network.

A single-mode laser based on asymmetric Bragg reflection waveguides.

A single oscillation-mode laser employing the asymmetric waveguide structure is designed and analyzed. The mode selection mechanism is realized by using an asymmetric Bragg reflection waveguide (BRW) and shown to be effective to achieve high side-mode suppression ratio (SMSR). As an example, a silicon-based quasi-one-dimensional BRW with Er-doped Si-nanocrystal in the silicon oxide core is considered and illustrated for the laser structure. Guidance properties and threshold conditions are examined to verify the design procedure and performance feasibility for the single oscillation mode laser.

Extreme pathway analysis reveals the organizing rules of metabolic regulation.

Cellular systems shift metabolic states by adjusting gene expression and enzyme activities to adapt to physiological and environmental changes. Biochemical and genetic studies are identifying how metabolic regulation affects the selection of metabolic phenotypes. However, how metabolism influences its regulatory architecture still remains unexplored. We present a new method of extreme pathway analysis (the minimal set of conically independent metabolic pathways) to deduce regulatory structures from pure pathway information. Applying our method to metabolic networks of human red blood cells and Escherichia coli, we shed light on how metabolic regulation are organized by showing which reactions within metabolic networks are more prone to transcriptional or allosteric regulation. Applied to a human genome-scale metabolic system, our method detects disease-associated reactions. Thus, our study deepens the understanding of the organizing principle of cellular metabolic regulation and may contribute to metabolic engineering, synthetic biology, and disease treatment.

Dispersive-grating distributed feedback lasers.

This paper proposed a novel distributed feedback (DFB) laser by incorporating a dispersive grating, whose coupling strength is dependent on the operating wavelength. Analysis of the laser threshold conditions shows that the proposed structure guarantees single-mode operation due to the inherent threshold gain discrimination on the two otherwise degenerated lasing modes.

Downregulation of tazarotene induced gene-2 (TIG2) in skin squamous cell carcinoma.

Tazarotene, an RARbeta/gamma-selective synthetic retinoid, was found to induce three genes, tazarotene-induced genes (TIG) 1, 2 and 3. TIG2 was abundantly expressed in non-lesional psoriatic skin, but at lower levels in psoriatic lesions. The protein precursor encoded by TIG2, called prochemerin, can be converted into bioactive chemerin. Chemerin can then bind to chemerin receptor, resulting in chemoattracting dendritic cells and macrophages, and serving as a bridge between innate and adaptive immunity. Our objective was to investigate the role of TIG2 in skin squamous cell carcinoma (SCC). The levels of TIG2-protein and transcript in normal skin tissues, uninvolved skin and SCC lesions were determined by immunohistochemistry and in situ hybridization. TIG2-protein and transcript were detected in all layers of normal epidermis and uninvolved skin adjacent to SCC lesions. In addition, TIG2 was also expressed in the corneum, granular layers and the upper and middle layers of stratum spinosum of the marginal part of SCC lesions. On the other hand, TIG2-protein and transcript were barely detectable around the keratin pearls of SCC 1-2, and were not detectable at all in SCC 3-4.

Comparison on extreme pathways reveals nature of different biological processes.

BACKGROUND: Constraint-based reconstruction and analysis (COBRA) is used for modeling genome-scale metabolic networks (MNs). In a COBRA model, extreme pathways (ExPas) are the edges of its conical solution space, which is formed by all viable steady-state flux distributions. ExPa analysis has been successfully applied to MNs to reveal their phenotypic capabilities and properties. Recently, the COBRA framework has been extended to transcriptional regulatory networks (TRNs) and transcriptional and translational networks (TTNs), so efforts are needed to determine whether ExPa analysis is also effective on these two types of networks. RESULTS: In this paper, the ExPas resulting from the COBRA models of E.coli's MN, TRN and TTN were horizontally compared from 5 aspects: (1) Total number and the ratio of their amount to reaction amount; (2) Length distribution; (3) Reaction participation; (4) Correlated reaction sets (CoSets); (5) interconnectivity degree. Significant discrepancies in above properties were observed during the comparison, which reveals the biological natures of different biological processes. Besides, by demonstrating the application of ExPa analysis on E.coli, we provide a practical guidance of an improved approach to compute ExPas on COBRA models of TRNs. CONCLUSIONS: ExPas of E.coli's MN, TRN and TTN have different properties, which are strongly connected with various biological natures of biochemical networks, such as topological structure, specificity and redundancy. Our study shows that ExPas are biologically meaningful on the newborn models and suggests the effectiveness of ExPa analysis on them.