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Biology subjects

Yuan, Y.

Publications and source records attributed to Yuan, Y..

At least 307 records · Page 17Linked to original sources

Haplotype-Based Noninvasive Prenatal Diagnosis for Duchenne Muscular Dystrophy: A pilot study in South China

ObjectiveTo explore the accuracy and feasibility of noninvasive prenatal diagnosis (NIPD) for Duchenne Muscular Dystrophy (DMD) based on the haplotype approach. MethodsWe recruited singleton pregnancies at-risk of DMD at 12-25 weeks of gestation from 17 families who all had a proband children affected by DMD. We have identified the pathogenic mutations in probands and their mothers by multiplex ligation-dependent probe amplification (MLPA). To construct parental haplotypes, we performed captured sequencing on genomic DNA from parents and probands. The integration analysis of parental haplotypes and targeted sequencing results of maternal plasma DNA were used to infer the fetal haplotype and genotypes in DMD gene. Fetal DMD genotypes were further confirmed by invasive prenatal diagnosis. ResultsWe have successfully performed the haplotype-based NIPD in all recruited families. Ten fetuses were identified as normal, including four female and six male fetuses. Four female fetuses were carriers and the other three male fetuses were affected by DMD with exons 49-52 deletion, exons 8-37 deletion and c.628G > T mutation, respectively. The results of NIPD were consistent with those of invasive diagnosis. ConclusionHaplotype-based NIPD for DMD by targeted sequencing is promising and has potential for clinical application.

genetics↗

Frequency of mutations in 21 hereditary breast and ovarian cancer susceptibility genes among high-risk Chinese individuals

PurposeTo determine the prevalence and clinical prediction factors associated with deleterious mutations among 882 high-risk Chinese individuals who underwent multigene panel testing for hereditary breast and ovarian cancer (HBOC) risk assessment.\n\nExperimental DesignSubjects were selected from individuals referred for genetic testing using a 21-gene panel (Oseq-BRCA) between January 2015 and March 2018. The distribution and prevalence of deleterious mutations were analyzed for the full cohort as well as subtypes.\n\nResultsOverall, 176 deleterious mutations were observed in 19.50% (n = 172) individuals. Of these, 26 mutations are not reported in public databases and literatures. In the ovarian cancer only subgroup, 115 deleterious mutations were identified in 429 patients (48.6%). Patients with ovarian cancer with mutations were enriched for a family history of breast or ovarian cancers (p < 0.05). In the breast cancer only subgroup, 31 deleterious mutations were identified in 261 patients. Most mutations occurred in BRCA1 (8; 25.8%) and BRCA2 (11; 35.5%). An additional 12 deleterious mutations (38.7%) were found in 7 other susceptibility genes. An increased frequency of mutation rate (57.9%) was observed in the subgroup of subjects with histories of both breast and ovarian cancer.\n\nConclusions19.50% of individuals carried a deleterious mutation in HBOC susceptibility genes in our cohort. Subgroup of subjects with histories of both breast and ovarian cancer had the highest prevalence of mutations. Our results highlighted the genetic heterogeneity of HBOC and the efficiency of multigene panel in performing risk assessment.

cancer biology↗

Phylogenetic reconstruction and divergence time estimation of Blumea DC. (Asteraceae: Inuleae) in China based on nrDNA ITS and cpDNA trnL-F sequences

The genus Blumea DC. is one of the economically most important genera of Inuleae (Asteraceae) in China. It is particularly diverse in south China, where 30 species occur, more than half of which are used as herbal medicine or in the chemical industry. However, little is known about the phylogenetic relationships and molecular evolution of this genus in China. We used nuclear ribosomal DNA (nrDNA) internal transcribed spacer (ITS) and chloroplast DNA (cpDNA) trnL-F sequences to reconstruct the phylogenetic relationship and estimate the divergence time of Blumea DC. in China. Results indicated the genus of Blumea DC. was monophyletic and could be divided into two clades, the two clades were resolved that differ with respect to habitat, morphology, chromosome type and chemical composition, of their members. Furthermore, based on the two root time of Asteraceae, the divergence time of Blumea DC. were compare estimated. Results indicated the most recent common ancestor of Asteraceae maybe originated from 76-66 Ma, and Blumea DC. maybe originated from 72.71-52.42 Ma, and had an explosive expansion during Oligocene and Miocene (30.09-11.44 Ma), two major clades were differentiated during the Palaeocene and Oligocene (66.29-46.72 Ma), also the evidence from paleogeography and paleoclimate also supported Blumea DC. had an differentiation and explosive expansion during Oligocene and Miocene.

systems biology↗

The molecular architecture of engulfment during Bacillus subtilis sporulation

The study of cell biology is limited by the difficulty in visualizing cellular structures at high spatial resolution within their native milieu. Here, we have visualized sporulation in Bacillus subtilis using cryo-electron tomography coupled with cryo-focused ion beam milling, a technique that allows the 3D reconstruction of cellular structures in near-native state at molecular resolution. During sporulation, an asymmetrically-positioned septum divides the cell into a larger mother cell and a smaller forespore. Subsequently, the mother cell phagocytoses the forespore in a process called engulfment, which entails a dramatic rearrangement of the peptidoglycan (PG) cell wall around the forespore. By imaging wild-type sporangia, engulfment mutants, and sporangia treated with PG synthesis inhibitors, we show that the initiation of engulfment does not entail the complete dissolution of the septal PG by the mother cell SpoIIDMP complex, as was previously thought. Instead, DMP is required to maintain a flexible septum that is uniformly and only slightly thinned at the onset of engulfment. Then, the mother cell membrane migrates around the forespore by forming tiny finger-like projections, the formation of which requires both SpoIIDMP and new PG synthesized ahead of the leading edge of the engulfing membrane. We propose a molecular model for engulfment membrane migration in which a limited number of SpoIIDMP complexes tether the membrane to and degrade the new PG ahead of the leading edge, thereby generating an irregular engulfing membrane front. Our data also reveal other structures that will provide a valuable resource for future mechanistic studies of endospore formation.

microbiology↗

Infection with Persister Forms of Staphylococcus aureus Causes a Chronic Persistent Skin Infection with More Severe Lesion that Takes Longer to Heal and is not Eradicated by the Current Recommended Treatment in Mice

Staphylococcus aureus is an opportunistic pathogen that can cause persistent infections clinically. Treatment for chronic S. aureus infections ranges from at least one week to several months and such infections are prone to relapse likely due to the presence of persistent forms of bacteria such as persister cells. Persister cells, which are bacterial cells that become dormant under stress conditions, can be isolated in vitro but their clinical significance in in vivo infections are largely unclear. Here, we evaluated S. aureus persistent forms using stationary phase cultures and biofilm bacteria (enriched in persisters) in comparison with log phase cultures in terms of their ability to cause disease in a mouse skin infection model. Surprisingly, we found that infection of mice with stationary phase cultures and biofilm bacteria produced a more severe chronic skin infection with more pronounced lesions which took longer to heal than log phase (actively growing) cultures. After two week infection, the bacterial load and skin tissue pathology, as determined by hyperplasia, immune cell infiltration, and crust/lesion formation, of mice infected with the more persistent forms (e.g. stationary phase bacteria and biofilm bacteria) were greater than mice infected with log phase bacteria. Using our persistent infection mouse model, we showed that the clinically recommended treatment for recurrent S. aureus skin infection, doxycycline + rifampin, was not effective in eradicating the bacteria in the treatment study, despite reducing lesion sizes and pathology in infected mice. Analogous findings were also observed in a Caenorhabditis elegans model, where S.aureus stationary phase cultures caused a greater mortality than log phase culture as early as two days post-infection. Thus, we established a new model for chronic persistent infections using persister bacteria that could serve as a relevant model to evaluate therapeutic options for persistent infections in general. Our findings connect persisters with persistent infections, have implications for understanding disease pathogenesis, and are likely to be broadly valid for other pathogens.

microbiology↗

Pre-implantation genetic diagnosis for a family with Usher syndrome through targeted sequencing and haplotype analysis

ObjectiveOur objective was to investigate the applicability of targeted capture massively parallel sequencing in developing personalized pre-implantation genetic diagnosis (PGD) assay.\n\nMethodsOne couple at risk of transmitting Usher Syndrome to their offspring was recruited to this study. The genomics DNA (gDNA) was extracted from the peripheral blood and underwent in vitro fertilization (IVF)-PGD. Prenatal molecular diagnosis was performed in the 20th week of gestation and the chromosomal anomaly was analyzed.\n\nResultsCustomized capture probe targeted at USH2A gene and 350kb flanking region were designed for PGD. Eleven blastocysts were biopsied and amplified by using multiple displacement amplification (MDA) and capture sequencing. A HMM-based haplotype analysis was performed to deduce embryos genotype by using SNPs identified in each sample. Four embryos were diagnosed as free of fathers rare mutation, two were transferred and one achieved a successful pregnancy. The fetal genotype was confirmed by Sanger sequencing of fetal genomic DNA obtained by amniocentesis. The PGD and prenatal diagnosis results were further confirmed by the molecular diagnosis of the babys genomic DNA sample. The auditory test showed that the hearing was normal.\n\nConclusionTargeted capture massively parallel sequencing (MPS) is an effective and convenient strategy to develop customized PGD assay.\n\nKey pointsGenetic counseling session was conducted with a family having Usher patient who was molecularly diagnosed, and a healthy baby was born with the help of successful PGD assay. This is of vast importance in management plans since it is the first report of PGD in Usher syndrome based on targeted capture MPS.

genetics↗

CNNC: Convolutional Neural Networks for Co-Expression Analysis

Several methods were developed to mine gene-gene relationships from expression data. Examples include correlation and mutual information methods for co-expression analysis, clustering and undirected graphical models for functional assignments and directed graphical models for pathway reconstruction. Using a novel encoding for gene expression data, followed by deep neural networks analysis, we present a framework that can successfully address all these diverse tasks. We show that our method, CNNC, improves upon prior methods in tasks ranging from predicting transcription factor targets to identifying disease related genes to causality inference. CNNCs encoding provides insights about some of the decisions it makes and their biological basis. CNNC is flexible and can easily be extended to integrate additional types of genomics data leading to further improvements in its performance.\n\nSupporting website with software and data: https://github.com/xiaoyeye/CNNC.

systems biology↗

Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity

Integrative analysis of multi-omics layers at single cell level is critical for accurate dissection of cell-to-cell variation within certain cell populations. Here we report scCAT-seq, a technique for simultaneously assaying chromatin accessibility and the transcriptome within the same single cell. We show that the combined single cell signatures enable accurate construction of regulatory relationships between cis-regulatory elements and the target genes at single-cell resolution, providing a new dimension of features that helps direct discovery of regulatory patterns specific to distinct cell identities. Moreover, we generated the first single cell integrated maps of chromatin accessibility and transcriptome in human pre-implantation embryos and demonstrated the robustness of scCAT-seq in the precise dissection of master transcription factors in cells of distinct states during embryo development. The ability to obtain these two layers of omics data will help provide more accurate definitions of \"single cell state\" and enable the deconvolution of regulatory heterogeneity from complex cell populations.

genomics↗

Molecular Detection of H.pylori Antibiotic-Resistant Genes and Bioinformatics Predictive Analysis

To explore the mutation characteristics of H.pylori resistance-related genes to antibiotics of clarithromycin, levofloxacin and metronidazole. 23S rRNA, gyrA, gyrB, rdxA and frxA genes were amplified and sequenced, respectively. Their structural alteration after mutation was predicted using bioinformatics software. In the clarithromycin-resistant strains, the mutation rate in site A2143G was 74.2% (n=23). The mutations in sites C1883T, C2131T and T2179G might cause structural alteration. In the levofloxacin-resistant strains, the mutation rates in 87 (N to K/I) and 91 (D to N/Y/G) of gyrA were 28.6% (n=16) and 12.5% (n =7), respectively. Meanwhile, one of the mutation strains in site 91 was accompanied by D99N variation. Additionally, a D143E mutation was found in one drug-resistant strain. Some changes of tertiary structure occurred after these mutations. The mutation types of RdxA protein consisted of protein truncation caused by premature stop codons (n=26, 33.3%), frameshift mutations (n=8, 10.3%), FMN-binding sites (n=16, 20.5%) and the others (n=11, 14.1%). Predictive analysis showed that mutations in the first three groups and the A118S of the last group could lead to structural alteration. Our study suggested the clarithromycin-resistant sites of H.pylori were mainly located in A2143G of 23S rRNA. C1883T, C2131T and T2179G might also be related to resistance. Levofloxacin resistance was mainly based on the amino acid changes in 87 and 91 sites of gyrA. The new sites D99N and D143E might also be associated with resistance. Metronidazole resistance was related to RdxA protein truncation, frameshift, and FMN binding. The new site A118S might also be linked to drug resistance.

microbiology↗

Whole-genome deep learning analysis reveals causal role of noncoding mutations in autism

We address the challenge of detecting the contribution of noncoding mutations to disease with a deep-learning-based framework that predicts specific regulatory effects and deleterious disease impact of genetic variants. Applying this framework to 1,790 Autism Spectrum Disorder (ASD) simplex families reveals autism disease causality of noncoding mutations by demonstrating that ASD probands harbor transcriptional (TRDs) and post-transcriptional (RRDs) regulation-disrupting mutations of significantly higher functional impact than unaffected siblings. Importantly, we detect this significant noncoding contribution at each level, transcriptional and post-transcriptional, independently and after multiple hypothesis correction. Further analysis suggests involvement of noncoding mutations in synaptic transmission and neuronal development, and reveals a convergent genetic landscape of coding and noncoding (TRD and RRD) de novo mutations in ASD. We demonstrate that sequences carrying prioritized proband de novo mutations possess transcriptional regulatory activity and drive expression differentially, and highlight a link between noncoding mutations and IQ heterogeneity in ASD probands. Our predictive genomics framework illuminates the role of noncoding mutations in ASD, prioritizes high impact transcriptional and post-transcriptional regulatory mutations for further study, and is broadly applicable to complex human diseases.

genomics↗

Identification of Polynucleotide Phosphorylase (PNPase) in Escherichia coli Involved in Persister Formation

Despite the identification of many genes and pathways involved in the persistence phenomenon of bacteria, the mechanisms of persistence are not well understood. Here, using Escherichia coli as a model, we identified polynucleotide phosphorylase (PNPase) as a key regulator in persister formation. We successfully constructed pnp knockout mutant strain and its complemented strain, and exposed the pnp knockout mutant and complemented strain to antibiotics and stress conditions. The results showed that, compared with the wild-type W3110, the pnp knockout strain had defect in persistence to antibiotics and stress conditions, and the persistence to antibiotics and stresses was restored upon complementation. RNA-Seq was performed to identify the transcriptome profile in the pnp knockout strain compared with wild-type strain W3110, and the data revealed that 242 (166 up-regulated, and 76 down-regulated) genes were differentially expressed in the pnp knockout mutant strain. KEGG pathway analysis of the up-regulated genes showed that they were mostly mapped to metabolism and virulence pathways, most of which are positively regulated by the global regulator cyclic AMP receptor protein (CRP). Similarly, the transcription level of the crp gene in the pnp-deletion strain increased 3.22-fold in the early stationary phase. We further explored the indicators of cellular metabolism of the pnp-deletion strain, the persistence phenotype of the pnp and crp double-deletion mutant, and the transcriptional activity of crp gene. Our results indicate that PNPase controls cellular metabolism by negatively regulating the crp operon at the post-transcriptional level by targeting the 5- Untranslated Region (UTR) of the crp transcript. This study offers new insight about the persister mechanisms and provides new targets for development of new drugs against persisters for more effective treatment of persistent bacterial infections.

microbiology↗

Regulation by competition: a hidden layer of gene regulatory network

Molecular competition is ubiquitous, essential and multifunctional throughout diverse biological processes. Competition brings about trade-offs of shared limited resources among the cellular components, and it thus introduce a hidden layer of regulatory mechanism by connecting components even without direct physical interactions. By abstracting the analogous competition mechanism behind diverse molecular systems, we built a unified coarse-grained competition motif model to systematically compare experimental evidences in these processes and analyzed general properties shared behind them. We could predict in what molecular environments competition would reveal threshold behavior or display a negative linear dependence. We quantified how competition can shape regulator-target dose-response curve, modulate dynamic response speed, control target expression noise, and introduce correlated fluctuations between targets. This work uncovered the complexity and generality of molecular competition effect, which might act as a hidden regulatory mechanism with multiple functions throughout biological networks in both natural and synthetic systems.

systems biology↗

SlARF10, an auxin response factor, is required for chlorophyll and sugar accumulation during tomato fruit development

Tomato green fruits photosynthesis contributes to fruit growth and carbon economy. Tomato auxin response factor 10 (SlARF10) is one of the members of ARF family. Our results showed that SlARF10 locates in the nucleus and has no transcriptional activity. SlARF10 was expressed in various tomato tissues, but highly expressed in green fruit. Up-regulation of SlARF10 produced dark green phenotype of fruits, whereas down-regulation of SlARF10 had light green phenotype. Autofluorescence and chlorophyll content analysis confirmed the phenotypes, which indicated that SlARF10 plays an important role in chlorophyll accumulation in tomato fruits. Up-regulation of SlARF10 increased the photochemical potential in tomato leaves and fruits. Furthermore, the SlARF10 up-regulating lines displayed improved accumulation of starch in fruits, whereas SlARF10 suppressed lines had inhibited starch accumulation. Up-regulation of SlARF10 increased the expression of AGPases, the starch biosynthesis genes. SlARF10 up-regulating lines had increased accumulation of SlGLK1 and SlGLK2 transcripts in fruits. The promoter sequence of SlGLK1 gene had two conserved ARF binding sites. SlARF10 may regulate the expression of SlGLK1, thus controlling chlorophyll accumulation, photosynthesis rates and sugars synthesis in fruits. Our study provided more insight on the link between auxin signaling, chloroplastic activity and sugar metabolism during the development of tomato fruits.\n\nAbbreviations\n\nHighlightSlARF10 played an important role in the chlorophyll accumulation and photosynthesis in tomato fruits. SlARF10 was involved in starch accumulation by controlling the expression of starch synthesis related enzyme genes. SlARF10 may regulate the expression of SlGLK1, thus controlling chlorophyll accumulation, photosynthesis rates and sugars synthesis in tomato fruits.

plant biology↗

Differential 3’ Processing of Specific Transcripts Expands Regulatory and Protein Diversity Across Neuronal Cell Types

Alternative polyadenylation (APA) regulates mRNA translation, stability, and protein localization. However, it is unclear to what extent APA regulates these processes uniquely in specific cell types. Using a new technique, cTag-PAPERCLIP, we discovered significant differences in APA between the principal types of mouse cerebellar neurons, the Purkinje and granule cells, as well as between proliferating and differentiated granule cells. Transcripts that differed in APA in these comparisons were enriched in key neuronal functions and many differed in coding sequence in addition to 3UTR length. We characterize Memo1, a transcript that shifted from expressing a short 3UTR isoform to a longer one during granule cell differentiation. We show that Memo1 regulates granule cell precursor proliferation and that its long 3UTR isoform is targeted by miR-124, contributing to its downregulation during development. Our findings provide insight into roles for APA in specific cell types and establish a platform for further functional studies.

neuroscience↗

Arabidopsis HB52 mediates the crosstalk between ethylene and auxin signaling pathways by regulating PIN2, WAG1, and WAG2 during primary root elongation

The gaseous hormone ethylene participates in many physiological processes of plants. It is well known that ethylene-inhibited root elongation involves basipetal auxin delivery requiring PIN2. However, the molecular mechanism how ethylene regulates PIN2 is not well understood. Here, we report that the ethylene-responsive HD-Zip gene HB52 is involved in ethylene-mediated inhibition of primary root elongation. Using biochemical and genetic analyses, we demonstrated that HB52 is ethylene-responsive and acts immediately downstream of EIN3. HB52 knock-down mutants are insensitive to ethylene in primary root elongation while the overexpression lines have dramatically shortened roots like ethylene treated plants. Moreover, HB52 upregulates PIN2, WAG1, and WAG2 by directly binding to their promoter, leading to an enhanced basipetal auxin delivery to the elongation zone and thus inhibiting root growth. Our work uncovers HB52 as an important crosstalk node between ethylene signaling and auxin transport in root elongation.

plant biology↗

Oncogenic role of sFRP2 in P53-mutant osteosarcoma development via autocrine and paracrine mechanism

Osteosarcoma (OS), the most common primary bone tumor, is highly metastatic with high chemotherapeutic resistance and poor survival rates. Using induced pluripotent stem cells (iPSCs) generated from Li-Fraumeni syndrome (LFS) patients, we investigated an oncogenic role of secreted frizzled-related protein 2 (sFRP2) in P53 mutation-associated OS development. Interestingly, we found that high sFRP2 expression in OS patient samples correlates with poor survival. Systems-level analyses identified that expression of sFRP2 increases during LFS OS development and can induce angiogenesis. Ectopic sFRP2 overexpression in normal osteoblast precursors is sufficient to suppress normal osteoblast differentiation and to promote OS phenotypes through induction of oncogenic molecules such as FOXM1 and CYR61 in a {beta}-catenin independent manner. Conversely, inhibition of sFRP2, FOXM1 or CYR61 represses the tumorigenic potential. In summary, these findings demonstrate the oncogenic role of sFRP2 in P53 mutation-associated OS development and that inhibition of sFRP2 is a potential therapeutic strategy.

cancer biology↗

Neuron-specific cTag-CLIP reveals cell-specific diversity of functional RNA regulation in the brain

RNA-binding proteins (RBPs) regulate genetic diversity, but the degree to which they do so in individual cell-types in vivo is unknown. We employed NOVA2 cTag-CLIP to generate functional RBP-RNA maps from single neuronal populations in the mouse brain. Combining cell-type specific data from Nova2-cTag and Nova2 conditional knock-out mice revealed differential NOVA2 regulatory actions (e.g. alternative splicing) on the same transcripts in different neurons, including in cerebellar Purkinje cells, where NOVA2 acts as an essential factor for proper motor coordination and synapse formation. This also led to the discovery of a mechanism by which NOVA2 action leads to different outcomes in different cells on the same transcripts: NOVA2 is able to regulate retained introns, which subsequently serve as scaffolds for another trans-acting splicing factor, PTBP2. Our results describe differential roles and mechanisms by which RBPs mediate RNA diversity in different neurons and consequent functional outcomes within the brain.

neuroscience↗

Cell type-specific CLIP reveals that NOVA regulates cytoskeleton interactions in motoneurons

BackgroundAlternative RNA processing plays an essential role in shaping cell identity and connectivity in the central nervous system (CNS). This is believed to involve differential regulation of RNA processing in various cell types. However, in vivo study of cell-type specific post-transcriptional regulation has been a challenge. Here, we developed a sensitive and stringent method combining genetics and CLIP (crosslinking and immunoprecipitation) to globally identify regulatory interactions between NOVA and RNA in the mouse spinal cord motoneurons (MNs).\n\nResultsWe developed a means of undertaking MN-specific CLIP to explore MN-specific protein-RNA interactions relative to studies of the whole spinal cord. This allowed us to pinpoint differential RNA regulation specific to MNs, revealing major role for NOVA in regulating cytoskeleton interactions in MNs. In particular, NOVA specifically promotes the palmitoylated isoform of a cytoskeleton protein Septin 8 in MNs, which enhances dendritic arborization.\n\nConclusionsOur study demonstrates that cell type-specific RNA regulation is important for fine-tuning motoneuron physiology, and highlights the value of defining RNA processing regulation at single cell type resolution.

neuroscience↗