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Chen, M.

Publications and source records attributed to Chen, M..

At least 379 records · Page 21Linked to original sources

Molecular Architecture of the Chikungunya Virus Replication Complex

All positive-strand (+) RNA viruses assemble membrane-associated replication complexes (RCs) for viral RNA synthesis in virus-infected cells. However, how these multi-component RCs assemble and function in synthesizing, processing, and transporting viral RNAs to the cytosol remains poorly defined. Here, we determined both the structure of the core RNA replicase of chikungunya virus (family Togaviridae) at a near-atomic level and the native RC architecture in its cellular context at the subnanometer resolution, using in vitro reconstitution and in situ electron cryotomography, respectively. Within the core RNA replicase (nsP1+2+4), the viral RNA-dependent RNA polymerase nsP4, in complex with nsP2 helicase-protease, was found to co-fold with the membrane-anchored nsP1 RNA-capping dodecameric ring and is located asymmetrically within nsP1 central pore. This complex forms the minimal core RNA replicase, while the addition of a large cytoplasmic ring next to the C-terminus of nsP1 forms the holo-RNA-RC as observed at the neck of spherules formed in virus-infected cells. These results represent a major conceptual advance in elucidating the molecular mechanisms of RNA virus replication and the principles underlying the molecular architecture of RCs, likely to be shared with many pathogenic (+) RNA viruses. At last, our study will direct the needed development of antiviral therapies targeting RCs of pathogenic viruses. SummaryCryoEM structure of the chikungunya virus replication complex reveals a multicomponent RNA synthesis nanomachine embedded in the plasma membrane of the host cell.

microbiology↗

Genomic legacies of ancient adaptation illuminate the GC-content evolution in bacterial genomes

In conventional views, the bacterial adaptation is characterized by strong purifying selection as well as rapid evolution in changing environments. However, the genomic GC content varies greatly but has some degree of phylogenetic stability. Using 11,083 representative genomes, we report a phylogenetically constrained bimodal distribution of the genomic GC. Results suggest that such divergence of the genomic GC can be well explained by the DNA replication and repair (DRR) system, in which multiple pathways are observed correlated to the genomic GC. The biased conservations of various stress-related genes especially the DRR-related ones imply distinct adaptive evolution of the ancestral lineages of high or low GC clades which may be induced by major environmental changes in early evolution. Furthermore, our findings support that the mutational biases resulted from these legacies of adaptation have changed the course of adaptive evolution in bacteria thus causing great variation in the genomic GC. This study demonstrates the importance of indirect effects from natural selection which may be easily misinterpreted as neutral processes.

evolutionary biology↗

Convergent epitope specificities, V gene usage and public clones elicited by primary exposure to SARS-CoV-2 variants

An important consequence of infection with a SARS-CoV-2 variant is protective humoral immunity against other variants. The basis for such cross-protection at the molecular level is incompletely understood. Here we characterized the repertoire and epitope specificity of antibodies elicited by Beta, Gamma and ancestral variant infection and assessed their cross-reactivity to these and the more recent Delta and Omicron variants. We developed a high-throughput approach to obtain immunoglobulin sequences and produce monoclonal antibodies for functional assessment from single B cells. Infection with any variant elicited similar cross-binding antibody responses exhibiting a remarkably conserved hierarchy of epitope immunodominance. Furthermore, convergent V gene usage and similar public B cell clones were elicited regardless of infecting variant. These convergent responses despite antigenic variation may represent a general immunological principle that accounts for the continued efficacy of vaccines based on a single ancestral variant.

immunology↗

Oscillatory dynamics underlying emotion-cognition integration: differential role of theta and alpha oscillations

A fundamental aspect of human mental life is the seamless ability for integration of emotion and cognition. Despite progress regarding the spatial architecture of Emotion-Cognition Integration (ECI), the time course of ECI processes remains unclear. To examine the temporal organization of brain oscillations underpinning ECI, we simultaneously manipulated emotional valence of stimuli and cognitive task demand while recording electrophysiological responses of 61 participants. They were asked to complete tasks with low (body-part judgement) and high (laterality judgement) cognitive demand while viewing other people photographs that varied on dimensions of laterality (left or right), body-part (hand or foot), and emotional valence (pain or no pain). We found increased reaction times and error rates in pain versus no pain during laterality judgement relative to body-part judgement, suggesting reciprocal inhibition between emotion and cognition. EEG results showed that 1) emotion processing (valence) occurred first in the theta band from 144 to 372 ms; 2) cognitive processing (laterality) took place in the theta band from 332 to 608 ms; 3) emotional and cognitive processes were integrated in the alpha band from 268 ms and lasted to 800 ms. These findings reveal oscillatory dynamics of the processing and integration of emotion and cognition, providing further insights into the underlying neurophysiology. This may ultimately contribute to our understanding of ECI processing in psychopathology.

neuroscience↗

A novel PLS1 c.981+1G>A variant causes autosomal-dominant hereditary hearing loss in a family via up-regulation of the PI3K-Akt signaling pathway

BackgroundThe fimbrin protein family contains a variety of proteins, of which Plastin1 (PLS1) is an important member. The latest researches show that variations in the coding region of PLS1 gene is related to the development of deafness. However, it remains unknown about the molecular mechanism of deafness caused by PLS1 gene variants. Methodswhole exome sequencing was performed on the affected family members and healthy ones to identify the pathogenic variants, followed by sanger sequencing. Minigene assay was conducted to investigate the impact of the variant on PLS1 mRNA splicing. The pathogenicity of the variant was further investigated in zebrafish. RNA-sequencing (RNA-seq) was done for analyzing the dysregulated downstream signaling pathways caused by knockdown of PLS1 expression. ResultsWe identified a novel variant PLS1 c.981+1G>A in a large Chinese family with hearing loss and demonstrated that the variant is responsible for the occurrence of hearing loss by inducing Exon8 skipping or deletion of Exon8 (47bp). The variant caused abnormal inner ear phenotypes, characterized by decreased mean otolith distance, anterior otolith diameter, posterior otolith diameter, and cochlear diameter, swimming speed and distance in zebrafish. Furthermore, silencing PLS1 expression significantly upregulated genes in the PI3K-Akt signaling pathway, including Col6a3, Spp1, Itgb3 and Hgf. ConclusionsPLS1 c.981+1G>A is a novel pathogenic variant for hearing loss by inducing Exon8 skipping or deletion of Exon8 (47bp). Up-regulation of the PI3K-Akt signaling pathway plays an important role in the pathogenesis of PLS-1 gene.

genetics↗

A Genomically and Clinically Annotated Patient Derived Xenograft (PDX) Resource for Preclinical Research in Non-Small Cell Lung Cancer

Patient-derived xenograft models (PDXs) are an effective preclinical in vivo platform for testing the efficacy of novel drug and drug combinations for cancer therapeutics. Here we describe a repository of 79 genomically and clinically annotated lung cancer PDXs available from The Jackson Laboratory that have been extensively characterized for histopathological features, mutational profiles, gene expression, and copy number aberrations. Most of the PDXs are models of non-small cell lung cancer (NSCLC), including 37 lung adenocarcinoma (LUAD) and 33 lung squamous cell carcinoma (LUSC) models. Other lung cancer models in the repository include four small cell carcinomas, two large cell neuroendocrine carcinomas, two adenosquamous carcinomas, and one pleomorphic carcinoma. Models with both de novo and acquired resistance to targeted therapies with tyrosine kinase inhibitors are available in the collection. The genomic profiles of the LUAD and LUSC PDX models are consistent with those observed in patient tumors of the same tumor type from The Cancer Genome Atlas (TCGA) and to previously characterized gene expression-based molecular subtypes. Clinically relevant mutations identified in the original patient tumors were confirmed in engrafted tumors. Treatment studies performed for a subset of the models recapitulated the responses expected based on the observed genomic profiles. SignificanceThe collection of lung cancer Patient Derived Xenograft (PDX) models maintained at The Jackson Laboratory retain both the histologic features and treatment-relevant genomic alterations observed in the originating patient tumors and show expected responses to treatment with standard-of-care agents. The models serve as a valuable preclinical platform for translational cancer research. Information and data for the models are freely available from the Mouse Models of Human Cancer database (MMHCdb, http://tumor.informatics.jax.org/mtbwi/pdxSearch.do).

cancer biology↗

Deep learning on reflectance confocal microscopy improves Raman spectral diagnosis of basal cell carcinoma

SignificanceRaman spectroscopy may be useful to assist Mohs micrographic surgery for skin cancer diagnosis; however, the specificity of Raman spectroscopy is limited by the high spectral similarity between tumors and normal tissues structures such as epidermis and hair follicles. Reflectance confocal microscopy (RCM) can provide imaging guidance with morphological and cytological details similar to histology. Combining Raman spectroscopy with deep-learning-aided RCM has the potential to improve the diagnostic accuracy of Raman without requiring additional input from the clinician. AimWe seek to improve the specificity of Raman for basal cell carcinoma (BCC) by integrating information from RCM images using an Artificial Neural Network. ApproachA Raman biophysical model was used in prior work to classify BCC tumors from surrounding normal tissue structures. 191 RCM images were collected from the same site as the Raman data and served as inputs to train two ResNet50 networks. The networks selected the hair structure images and epidermis images respectively within all the images corresponding to the positive predictions of the Raman Biophysical Model. ResultsDeep learning on RCM images removes 54% of false positive predictions from the Raman Biophysical Model result and keeps the sensitivity as 100%. The specificity was improved from 84.8% by using Raman spectra alone to 93.0% by integrating Raman spectra with RCM images ConclusionsCombining Raman spectroscopy with deep-learning-aided RCM imaging is a promising tool to guide tumor resection surgery.

bioengineering↗

Selective endocytosis controls slit diaphragm maintenance and dynamics.

The kidneys generate about 180 liters of primary urine per day by filtration of plasma. An essential part of the filtration barrier is the slit diaphragm, a multiprotein complex containing nephrin as major component. Filter dysfunction typically manifests with proteinuria and mutations in endocytosis regulating genes were discovered as causes of proteinuria. However, it is unclear how endocytosis regulates the slit diaphragm and how the filtration barrier is maintained without either protein leakage or filter clogging. Here we study nephrin dynamics in podocyte-like nephrocytes of Drosophila and show that selective endocytosis either by dynamin- or flotillin-mediated pathways regulates a stable yet highly dynamic architecture. Short-term manipulation of endocytic functions indicates that dynamin-mediated endocytosis of ectopic nephrin restricts slit diaphragm formation spatially while flotillin-mediated turnover of nephrin within the slit diaphragm is needed to maintain filter permeability by shedding of molecules bound to nephrin in endosomes. Since slit diaphragms cannot be studied in vitro and are poorly accessible in mouse models, this is the first analysis of their dynamics within the slit diaphragm multiprotein complex. Identification of the mechanisms of slit diaphragm maintenance will help to develop novel therapies for proteinuric renal diseases that are frequently limited to symptomatic treatment.

cell biology↗

Chlamydomonas mutant hpm91 lacking PGR5 is a scalable and valuable strain for algal hydrogen (H2) production

Clean and sustainable H2 production is essential toward a carbon-neutral world. H2 generation by Chlamydomonas reinhardtii is an attractive approach for solar-H2 from H2O. However, it is currently not scalable because of lacking ideal strains. Here, we explore hpm91, a previously reported PGR5-deletion mutant with remarkable H2 production, that possesses numerous valuable attributes towards large-scale application and in-depth study issues. We show that hpm91 is at least 100-fold scalable (upto 10 liter) with H2 collection sustained for averagely 26 days and 7287 ml H2/10L-HPBR. Also, hpm91 is robust and active over the period of sulfur-deprived H2 production, most likely due to decreased intracellular ROS relative to wild type. Moreover, quantitative proteomic analysis revealed its features in photosynthetic antenna, primary metabolic pathways and anti-ROS responses. Together with success of new high-H2-production strains derived from hpm91, we highlight that hpm91 is a potent strain toward basic and applied research of algal-H2 photoproduction.

biochemistry↗

Vascular mimicry by VE-cadherin enables trophoblast endovascular invasion and spiral artery remodeling during placental development

During formation of the mammalian placenta trophoblasts invade the maternal decidua and remodel spiral arteries to bring maternal blood into the placenta. This process, known as endovascular invasion, is thought to involve the adoption of functional characteristics of vascular endothelial cells (ECs) by trophoblasts through a process termed vascular mimicry. The genetic and molecular basis of vascular mimicry remains poorly defined, however, and whether trophoblasts utilize specialized endothelial proteins in an analogous manner to create vascular channels remains untested. Vascular endothelial (VE-)cadherin is a homotypic adhesion protein that is expressed selectively by ECs in which it enables formation of tight vessels and regulation of EC junctions. VE-cadherin is also expressed in invasive trophoblasts and is a prime candidate for a molecular mechanism of vascular mimicry by those cells. Here, we show that the VE-cadherin is required for trophoblast migration and endovascular invasion into the maternal decidua in the mouse. VE-cadherin deficiency results in loss of spiral artery remodeling that leads to decreased flow of maternal blood into the placenta, fetal growth restriction, and death. These studies identify a non-endothelial role for VE-cadherin in trophoblasts during placental development and suggest that endothelial proteins may play functionally unique roles in trophoblasts that do not simply mimic those in ECs.

developmental biology↗

A novel Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening

CRISPR screening coupled with single-cell RNA-sequencing has emerged as a powerful tool to characterize the effects of genetic perturbations on the whole transcriptome at a single-cell level. However, due to the sparsity and complex structure of data, analysis of single-cell CRISPR screening data remains challenging. In particular, standard differential expression analysis methods are often under-powered to detect genes affected by CRISPR perturbations. We developed a novel method for such data, called Guided Sparse Factor Analysis (GSFA). GSFA infers latent factors that represent co-regulated genes or gene modules, and by borrowing information from these factors, infers the effects of genetic perturbations on individual genes. We demonstrated through extensive simulation studies that GSFA detects perturbation effects with much higher power than state-of-the-art methods. Using single-cell CRISPR data from human CD8+ T cells and neural progenitor cells, we showed that GSFA identified biologically relevant gene modules and specific genes affected by CRISPR perturbations, many of which were missed by existing methods, providing new insights into the functions of genes involved in T cell activation and neurodevelopment.

genomics↗

Heterotrimeric G protein α subunit (GPA1) regulates the response to low-nitrogen stress in Arabidopsis by interacting with AtNRT1.4 and AtATG8a

Efficient nitrogen absorption and utilization are important factors for higher plants to increase yield and reduce eutrophication (caused by excessive use of nitrogen fertilizers). Heterotrimeric G proteins, including three subunits of , {beta}, and {gamma}, participate in the pathway regulating nitrogen absorption and utilization in plants. However, the regulatory mechanism remains largely obscured. In this study, our results revealed that the G protein subunit (AtGPA1) mutant gpa1-4 was tolerant to low-nitrogen stress in Arabidopsis. AtGPA1 was shown to directly interact with a nitrate transporter (AtNRT1.4) and a key autophagy-related protein (AtATG8a) on the plasma membrane using the yeast hybrid system and pull-down assay (in vitro) and BiFC assay (in vivo). GUS staining and subcellular localization showed that AtGPA1 and AtNRT1.4 were co-expressed in roots and leaf veins and on the plasma membrane. Under low-nitrate conditions, the single mutant gpa1-4 and NRT1.4RNAi plants (AtNRT1.4RNA interference plants) and the double mutant NRT1.4RNAi/gpa1-4 plants (AtNRT1.4RNA interference plants on a gpa1-4 background) were healthier than the wild type plants. Moreover, the phenotype of the double mutant NRT1.4RNAi/gpa1-4 plants was closer to that of the NRT1.4RNAi plants compared to that of the gpa1-4 mutants. The results of the nitrate efflux rate assay in roots were consistent with the phenotypic changes under low-nitrogen conditions. These results indicated that AtGPA1 is an upstream factor that regulated the response to low-nitrogen stress through interaction with AtNRT1.4. In addition, we found that transgenic plants overexpressing AtATG8a were more tolerant to low-nitrogen stress, and their phenotype was similar to that of gpa1-4 mutants and double mutant ATG8aOX/gpa1-4 plants (AtATG8a overexpressing plants on a gpa1-4 mutant background). Further, autophagosome observations were consistent with the phenotypes in mutant plants, indicating that AtGPA1 regulated the response to low-nitrogen stress in Arabidopsis plants by affecting the autophagosome assembly. Our findings may provide a new model for improving nitrogen-use efficiency through genetical modification to boost crop yields. One sentence summaryAtGPA1 negative regulates low nitrogen stress response by interaction with a nitrate transporter, AtNRT1.4 and an autophagy-related protein, AtATG8a in Arabidopsis.

physiology↗

Vaccine-elicited murine antibody WS6 neutralizes diverse beta-coronaviruses by recognizing a helical stem supersite of vulnerability

Immunization with SARS-CoV-2 spike elicits diverse antibodies, but can any of these neutralize broadly? Here, we report the isolation and characterization of antibody WS6, from a mouse immunized with mRNA encoding the SARS-CoV-2 spike. WS6 bound diverse beta-coronavirus spikes and neutralized SARS-CoV-2 variants, SARS-CoV, and related sarbecoviruses. Epitope mapping revealed WS6 to target a region in the S2 subunit, which was conserved among SARS-CoV-2, MERS-CoV, and hCoV-OC43. The crystal structure at 2-[A] resolution of WS6 with its S2 epitope revealed recognition to center on a conserved helix, which was occluded in both prefusion and post-fusion spike conformations. Structural and neutralization analyses indicated WS6 to neutralize by inhibiting fusion, post-viral attachment. Comparison of WS6 to other antibodies recently identified from convalescent donors or mice immunized with diverse spikes indicated a stem-helical supersite - centered on hydrophobic residues Phe1148, Leu1152, Tyr1155, and Phe1156 - to be a promising target for vaccine design. HighlightsO_LISARS-CoV-2 spike mRNA-immunized mouse elicited an antibody, WS6, that cross reacts with spikes of diverse human and bat beta-coronaviruses C_LIO_LIWS6 neutralizes SARS-CoV-2 variants, SARS-CoV, and related viruses C_LIO_LICrystal structure at 2-[A] resolution of WS6 in complex with a conserved S2 peptide reveals recognition of a helical epitope C_LIO_LIWS6 neutralizes by inhibition of fusion, post-viral attachment C_LIO_LIWS6 recognizes a supersite of vulnerability also recognized by other recently identified antibodies C_LIO_LIHelical supersite of vulnerability comprises a hydrophobic cluster spanning three helical turns, with acid residues framing the center turn C_LIO_LIGenetic and structural analysis indicate supersite recognition to be compatible with diverse antibody ontogenies C_LI

immunology↗

Overestimated Polygenic Prediction due to Overlapping Subjects in Genetic Datasets

Recently, polygenic risk score (PRS) has gained significant attention in studies involving complex genetic diseases and traits. PRS is often derived from summary statistics, from which the independence between discovery and replication sets cannot be monitored. Prior studies, in which the independence is strictly observed, report a relatively low gain from PRS in predictive models of binary traits. We hypothesize that the independence assumption may be compromised when using the summary statistics, and suspect an overestimation bias in the predictive accuracy. To demonstrate the overestimation bias in the replication dataset, prediction performances of PRS models are compared when overlapping subjects are either present or removed. We consider the task of Alzheimers disease (AD) prediction across genetics datasets, including the International Genomics of Alzheimers Project (IGAP), AD Sequencing Project (ADSP), and Accelerating Medicine Partnership - Alzheimers Disease (AMP-AD). PRS is computed from either sequencing studies for ADSP and AMP-AD (denoted as rPRS) or the summary statistics for IGAP (sPRS). Two variables with the high heritability in UK Biobank, hypertension, and height, are used to derive an exemplary scale effect of PRS. Based on the scale effect, the expected performance of sPRS is computed for AD prediction. Using ADSP as a discovery set for rPRS on AMP-AD, {Delta}AUC and {Delta}R2 (performance gains in AUC and R2 by PRS) record 0.069 and 0.11, respectively. Both drop to 0.0017 and 0.0041 once overlapping subjects are removed from AMP-AD. sPRS is derived from IGAP, which records {Delta}AUC and {Delta}R2 of 0.051{+/-}0.013 and 0.063{+/-}0.015 for ADSP and 0.060 and 0.086 for AMP-AD, respectively. On UK Biobank, rPRS performances for hypertension assuming a similar size of discovery and replication sets are 0.0036{+/-}0.0027 ({Delta}AUC) and 0.0032{+/-}0.0028 ({Delta}R2). For height, {Delta}R2 is 0.029{+/-}0.0037. Considering the high heritability of hypertension and height of UK Biobank, we conclude that sPRS results from AD databases are inflated. The higher performances relative to the size of the discovery set were observed in PRS studies of several diseases. PRS performances for binary traits, such as AD and hypertension, turned out unexpectedly low. This may, along with the difference in linkage disequilibrium, explain the high variability of PRS performances in cross-nation or cross-ethnicity applications, i.e., when there are no overlapping subjects. Hence, for sPRS, potential duplications should be carefully considered within the same ethnic group.

genomics↗

TGF-β-R2 is required for HBP induced acute lung injury and vascular leakage for TGF-/Smad/Rho signaling pathway activation

Heparin-binding protein (HBP), as a granule protein secreted by polymorphonuclear neutrophils (PMNs) participates in the pathophysiological process of sepsis. It has been reported that HBP is a biomarker of sepsis, which is related to the severity of septic shock and organ dysfunction. HBP binds to vascular endothelial cells as one of the primary target sites. However, it is still unclear whether HBP-binding protein receptors exist on the surface of ECs. The effect of HBP on vascular permeability in sepsis and its mechanism needs to be explored. We conducted in vivo and in vitro study. We demonstrated that HBP bound to transforming growth factor-{beta} receptor type 2 (TGF-{beta}-R2) as a ligand. GST pull-down analysis reveals that HBP mainly interacts with the extracellular domain of TGF-{beta}-R2. HBP induced acute lung injury (ALI) and vascular leakage via activation of TGF-{beta}/SMAD2/3 signaling pathway. Permeability assay suggests TGF-{beta}-R2 is necessary for HBP-induced increased permeability. We also defined the role of HBP and its potential membrane receptor TGF-{beta}-R2 in the blood-gas barrier in the pathogenesis of HBP-related ALI.

molecular biology↗

Structural basis for potent antibody neutralization of SARS-CoV-2 variants including B.1.1.529

With B.1.1.529 SARS-CoV-2 variants rapid spread and substantially increased resistance to neutralization by vaccinee and convalescent sera, monoclonal antibodies with potent neutralization are eagerly sought. To provide insight into effective neutralization, we determined cryo-EM structures and evaluated potent receptor-binding domain (RBD) antibodies for their ability to bind and neutralize this new variant. B.1.1.529 RBD mutations altered 16% of the RBD surface, clustering on a ridge of this domain proximal to the ACE2-binding surface and reducing binding of most antibodies. Significant inhibitory activity was retained, however, by select monoclonal antibodies including A19-58.1, B1-182.1, COV2-2196, S2E12, A19-46.1, S309 and LY-CoV1404, which accommodated these changes and neutralized B.1.1.529 with IC50s between 5.1-281 ng/ml, and we identified combinations of antibodies with potent synergistic neutralization. Structure-function analyses delineated the impact of resistance mutations and revealed structural mechanisms for maintenance of potent neutralization against emerging variants. Summary SentenceWe show potent B.1.1.529 neutralization by select antibodies and use EM structures to reveal how potency can be retained.

immunology↗

Identification and characterization of 19 predicted Myb-family DNA binding proteins in Magnaporthe oryzae concerning growth, conidiation, and pathogenicity

Proteins with DNA binding Myb domains have been suggested in regulating development and stress responses. Magnaporthe oryzae is considered the most destructive pathogen of rice. We screened the genome for genes with Myb domains encoding since these can be needed for pathogenesis. We found Myb1-19. Only MoMyb1 was previously shown to be involved in pathogenesis. We succeeded in deleting 12 of the other 18 genes. MoMyb2 deletion affected mainly growth, while MoMyb13 or MoMyb15 deletions gave additional defects in conidiation and plant infection. However, RT-qPCR showed that none of the 19 Myb genes are negligibly expressed. Instead, they have different expression profiles hours post-infection when infecting rice plants. Considering this, the unchanged infection phenotype for 9 gene deletions surprised us, and we extended the analysis to expression co-regulation of all 19 Myb proteins and found 5 co-regulated groups of predicted Myb-domain proteins. MoMyb13 or MoMyb15 are discussed and motivated as candidates for further, more detailed studies with aims also outside of plant pathology. Referring to what is found in other eukaryotes, we finally discuss possible redundancy or compensatory regulations for many of the other Myb genes hiding or compensating for the effect of many complete deletions. IMPORTANCEMagnaporthe oryzae is considered the most important rice pathogen limiting rice production. Our study attempts to find all genes encoding a DNA-binding gene family called Myb, and we found 19, many of which have not been studied before. The Myb gene family is suspected to regulate stress responses the pathogen needs to overcome plant defenses. Inhibiting or disturbing these genes, if they are indeed regulatory, can open new ways of controlling the pathogen and learning more about its physiology and ecology.

microbiology↗

seGMM: a new tool to infer sex from massively parallel sequencing data

Inspecting concordance between self-reported sex and genotype-inferred sex from genomic data is a significant quality control measure in clinical genetic testing. Numerous tools have been developed to infer sex for genotyping array, whole-exome sequencing, and whole-genome sequencing data. However, improvements in sex inference from targeted gene sequencing panels are warranted. Here, we propose a new tool, seGMM, which applies unsupervised clustering (Gaussian Mixture Model) to determine the gender of a sample from the called genotype data integrated aligned reads. seGMM consistently demonstrated > 99% sex inference accuracy in publicly available (1000 Genomes) and our in-house panel dataset, which achieved obviously better sex classification than existing popular tools. Compared to including features only in the X chromosome, our results show that adding additional features from Y chromosomes (e.g. reads mapped to the Y chromosome) can increase sex classification accuracy. Notably, for WES and WGS data, seGMM also has an extremely high degree of accuracy. Finally, we proved the ability of seGMM to infer sex in single patient or trio samples by combining with reference data and pinpointing potential sex chromosome abnormality samples. In general, seGMM provides a reproducible framework to infer sex from massively parallel sequencing data and has great promise in clinical genetics.

bioinformatics↗